WO2020113900A1 - Information processing method and device, server, and information processing system - Google Patents

Abstract

The present application relates to the technical field of the Internet, and specifically relates to an information processing method and device, a server, and an information processing system. The method comprises: acquiring an information processing request transmitted by a terminal, the information processing request comprising a tracing code of a target commodity and account information, wherein the account information corresponds to commodity credits, and commodities of different commodity types correspond to commodity credits of different credit types; adjusting, according to the number of queries for the tracing code, the commodity credits corresponding to the account information; and generating, according to a credit type of the commodity credits, cyber currency corresponding to a commodity to be purchased. A tracing code of a commodity purchased by a user is used to adjust credits according to the number of queries for the tracing code and the credits can be redeemed for a commodity, so as to provide benefits to consumers and encourage consumers to purchase commodities having tracing codes, thereby facilitating the adoption of tracing codes. The cyber money can also be used to purchase any type of commodity, thereby improving the versatility of credits.

Description

Information processing method and device, server and information processing system Technical field

This application relates to the field of Internet technology, and in particular, to an information processing method and device, server, and information processing system.

Background technique

With the development of Internet technology, points are becoming more and more common, and people can use points to exchange for commodities. However, because different commodity points correspond to different point issuers, different point issuers do not recognize the validity of points of other point issuers, so , Users can't consume points in any merchant at will, and the versatility of points is relatively poor.

Moreover, nowadays, there are more and more fake and shoddy commodities. As one of the means to crack down on counterfeit and shoddy commodities, traceable source codes are favored by the market. However, the traditional anti-counterfeiting traceability method is insufficiently promoted. For example, the lack of a promotion method that feeds back consumers and encourages consumers to purchase products with traceable source code has resulted in the failure of the traceable source code to be effectively promoted.

Summary of the invention

An object of the embodiments of the present application is to provide an information processing method and apparatus, a server, and an information processing system, which can improve the versatility of points and the popularization of source code traceability.

To solve the above technical problems, the embodiments of the present application provide the following technical solutions:

In a first aspect, an embodiment of the present application provides an information processing method, including:

Obtain an information processing request sent by a terminal, where the information processing request includes the traceability source code of the target product and account information, where the account information corresponds to product points, and products of different product types correspond to product points of different point types;

Adjust the product points corresponding to the account information according to the query times of the traceability source code;

According to the type of points of the commodity points, a network currency corresponding to the purchased commodity is generated.

Optionally, the adjusting the product points corresponding to the account information according to the number of times of tracing the source code includes:

Determine the sale status of the target commodity, the sale status includes a purchased status and an unpurchased status;

If the sale status of the target commodity is the purchased status, adjust the commodity points corresponding to the account information according to the query times of the traceability source code;

If the sales status of the target product is an unpurchased state, the product points corresponding to the account information are not adjusted.

Optionally, the adjusting the product points corresponding to the account information according to the number of times of tracing the source code includes:

Determine the number of queries for the traceability source code;

According to the query times of the traceability source code, adjust the product points corresponding to the target product point type in the account information.

Optionally, the adjustment of the product points corresponding to the target product's point type in the account information according to the query times of the source code tracing includes:

Determine whether the traceability source code has been searched for the first time;

If so, increase the product points corresponding to the point type of the target product in the account information according to the preset point increment;

If not, keep the product points corresponding to the point type of the target product in the account information unchanged.

Optionally, after acquiring the information processing request sent by the terminal, the method further includes:

According to the traceability source code, determine the generated code;

Determine that the product corresponding to the generated code is the target product.

Optionally, the generating of network currency corresponding to the purchased commodity according to the type of points of the commodity points includes:

Obtain consumption points that the user chooses to redeem for purchased goods;

According to the type of points of the consumption points and the type of points of the purchased goods, a network currency corresponding to the purchased goods is generated.

Optionally, the point type includes a general point type and a directed point type, the general point type commodity points are used to redeem any type of purchased goods, and the targeted point type product points are used to redeem a specified type of purchased goods ;

The generating of network currency corresponding to the purchased goods according to the type of points of the consumption points and the type of points of the purchased goods includes:

Judging whether the point type of the consumption point is the general point type, or whether the point type of the consumption point is the same as the point type of the purchased commodity;

If yes, generate the network currency corresponding to the purchased goods according to the first point consumption rule;

If not, the network currency corresponding to the purchased goods is generated according to the second point consumption rule, wherein the first point consumption rule is different from the second point consumption rule.

Optionally, the second point consumption rule includes: converting commodity points of the directional point type into commodity points of the general point type according to a preset proportional coefficient.

Optionally, the method further includes:

When a link to access a commodity is detected, a webpage request is obtained, and the webpage request carries account information of at least one user;

According to the webpage request, return preset reward points to the account information.

Optionally, the method further includes:

Record the invoicing information of different logistics links of the target commodity.

Optionally, the method further includes:

Record the geographic location information of the target product under different logistics links.

Optionally, the method further includes:

Receive merchandise purchase instructions;

According to the commodity purchase instruction, settle the purchased commodity.

Optionally, the commodity purchase instruction is sent by scanning the QR code of the purchased commodity; or,

The commodity purchase instruction is sent by selecting the purchased commodity on the commodity detail page; or,

The commodity purchase instruction is sent by the infrared scanning device scanning the identification code of the purchased commodity; or,

The commodity purchase instruction is sent by the RFID scanning device scanning the RFID tag of the purchased commodity; or,

The commodity purchase instruction is sent by collecting the user's voice and issuing the purchase commodity; or,

The merchandise purchase instruction is sent when the user's purchase behavior of purchasing the merchandise or the visual image that the merchandise is taken away matches the preset purchase model using visual recognition.

Optionally, the goods purchased for settlement include:

Deduct the amount of the purchased commodity from the payment channel selected by the user;

or,

Receive biometric information input by the user;

Determine whether the biometric information input by the user matches the preset biometric information;

If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user;

If there is no match, the settlement will be suspended;

or,

Start a third-party payment page, the user enters payment information on the third-party payment page;

Receiving payment success information sent by a third-party payment system according to the payment information;

Settle the purchased goods according to the payment success information;

or,

Get the user's face image;

Determine whether the face image of the user matches the preset face image;

If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user;

If there is no match, the settlement will be suspended;

or,

Obtain the user's mobile phone number and face image;

Determine whether the user's mobile phone number matches the preset mobile phone number;

If the user's mobile phone number matches the preset mobile phone number, determine whether the user's face image matches the preset face image;

If the face image of the user matches the preset face image, the amount of the purchased commodity is deducted from the payment channel selected by the user;

If the user’s face image does not match the preset face image, settlement will be suspended;

If the mobile phone number of the user does not match the preset mobile phone number, settlement is suspended;

or,

Get the user's payment code;

Settle the purchased goods according to the user's payment code;

or,

Obtain the user's identity information;

Determine the credit score corresponding to the user according to the user's identity information;

Settle the purchased goods according to the user's credit score;

or,

Obtain the user's mobile phone number;

According to the user's mobile phone number, settle the purchased merchandise.

Optionally, the settlement of the purchased goods according to the user's credit score includes:

Determine whether the user's credit score is greater than the preset credit score;

If it is greater, the user is allowed to leave the store with the purchased product without paying, and the amount of the purchased product is later deducted from the account information corresponding to the user's identity information;

If it is less, the settlement will be suspended.

Optionally, the settlement of the purchased goods according to the user's mobile phone number includes:

Determine whether the user's mobile phone number matches the preset mobile phone number;

If there is a match, the amount of the purchased commodity is deducted from the account information corresponding to the user's mobile phone number;

If there is no match, the settlement will be suspended.

Optionally, the commodity purchase instruction includes a restricted commodity purchase instruction;

The method also includes:

Acquire the user's face image according to the restricted commodity purchase instruction;

According to the user's face image, determine whether the user places an order to purchase restricted goods for the first time;

Based on the judgment results, deal with restricted commodity transactions.

Optionally, the processing of restricted commodity transactions according to the judgment result includes:

If the user places an order to purchase a restricted product for the first time, estimate the user's age based on the user's face image, and process the restricted product transaction based on the estimated user's age;

If the user does not place an order to purchase restricted commodities for the first time, sell the restricted commodities to the user.

Optionally, the processing of restricted commodity transactions based on the estimated age of the user includes:

Determine whether the estimated age of the user is greater than a preset age threshold;

If so, sell restricted goods to the user;

If not, suspend restricted commodity trading.

Optionally, the sale of restricted goods to the user includes:

Start a third-party payment page, the user enters payment information on the third-party payment page;

Receiving payment success information sent by a third-party payment system according to the payment information;

Based on the payment success information, sell restricted commodities to the user.

Optionally, after suspending the restricted commodity transaction, the processing of the restricted commodity transaction based on the estimated age of the user further includes:

Prompt the user to enter ID card information;

Judging whether the identity image in the ID card information matches the user's face image;

If there is a match, the restricted commodity transaction is processed according to the age information in the ID card information;

If there is no match, stop the restricted commodity transaction.

Optionally, the commodity purchase instruction further includes an online order instruction, and the online order instruction is used to purchase an offline commodity;

The method also includes:

According to the online order instruction, a pickup code is generated, and the pickup code is used to extract the offline commodity;

Receive the delivery code entered by the user;

According to the delivery code, trade the offline commodity.

Optionally, the method further includes:

Artificial intelligence recommended products.

Optionally, the artificial intelligence recommended products include:

Obtain the user's telecommunications data and historical consumption data, where the telecommunications data includes the user's identity information and geographic location;

Based on the user's telecommunications data and historical consumption data, recommend products to the user.

Optionally, the information processing request is sent by scanning the source code of the target product; or,

The information processing request is sent by collecting a voice control instruction issued when the user purchases the target product by voice; or,

The information processing request is sent by the image analysis target product.

In a second aspect, an embodiment of the present application provides an information processing apparatus, including:

A request acquisition module for acquiring an information processing request sent by a terminal, where the information processing request includes the source code of the target product and account information, the account information corresponds to product points, and products of different product types correspond to product points of different types of points;

The point adjustment module is used to adjust the product points corresponding to the account information according to the query times of the source code traceability;

The currency generation module is used to generate network currency corresponding to the purchased commodity according to the point type of the commodity points.

Optionally, the integral adjustment module includes:

A unit for determining a sale status, for determining a sale status of the target commodity, the sale status includes a purchased status and an unpurchased status;

A purchase adjustment unit, configured to adjust the product points corresponding to the account information according to the number of inquiries of the traceability source code if the sales status of the target product is the purchased state;

The unpurchased adjustment unit is configured to not adjust the product points corresponding to the account information if the sales status of the target product is an unpurchased state.

Optionally, the integral adjustment module includes:

A source code tracing determining unit, used to determine the number of queries of the source code tracing;

The point adjustment unit is configured to adjust the product points corresponding to the point type of the target product in the account information according to the query times of the traceability source code.

Optionally, the integral adjustment unit is specifically used for:

Determine whether the traceability source code has been searched for the first time;

If so, increase the product points corresponding to the point type of the target product in the account information according to the preset point increment;

If not, keep the product points corresponding to the point type of the target product in the account information unchanged.

Optionally, the device further includes:

The generated code determination module is used to determine the generated code according to the traceable source code;

The commodity determination module is used to determine that the commodity corresponding to the generated code is the target commodity.

Optionally, the currency generation module includes:

The point acquisition unit is used to obtain consumption points that the user chooses to redeem for purchased goods;

The currency generating unit is configured to generate a network currency corresponding to the purchased commodity according to the type of points of the consumption points and the type of points of the purchased goods.

Optionally, the point type includes a general point type and a directed point type, the general point type commodity points are used to redeem any type of purchased goods, and the targeted point type product points are used to redeem a specified type of purchased goods ;

The currency generating unit is specifically used for:

Judging whether the point type of the consumption point is the general point type, or whether the point type of the consumption point is the same as the point type of the purchased commodity;

If yes, generate the network currency corresponding to the purchased goods according to the first point consumption rule;

If not, the network currency corresponding to the purchased goods is generated according to the second point consumption rule, wherein the first point consumption rule is different from the second point consumption rule.

Optionally, the second point consumption rule includes: converting commodity points of the directional point type into commodity points of the general point type according to a preset proportional coefficient.

Optionally, the device further includes:

An access detection module, configured to obtain a webpage request when detecting a link to visit a commodity, the webpage request carrying account information of at least one user;

The point reward module is used to return preset reward points to the account information according to the webpage request.

Optionally, the device further includes:

The invoicing record module is used to record the invoicing information in different logistics links of the target commodity.

Optionally, the device further includes:

The location recording module is used to record the geographic location information of the target commodity under different logistics links.

Optionally, the device further includes:

Instruction receiving module, used to receive commodity purchase instructions;

The settlement purchase module is used to settle the purchased goods according to the commodity purchase instruction.

Optionally, the commodity purchase instruction is sent by scanning the QR code of the purchased commodity; or,

The commodity purchase instruction is sent by selecting the purchased commodity on the commodity detail page; or,

The commodity purchase instruction is sent by the infrared scanning device scanning the identification code of the purchased commodity; or,

The commodity purchase instruction is sent by the RFID scanning device scanning the RFID tag of the purchased commodity; or,

The commodity purchase instruction is sent by collecting the user's voice and issuing the purchase commodity; or,

The merchandise purchase instruction is sent when the user's purchase behavior of purchasing the merchandise or the visual image that the merchandise is taken away matches the preset purchase model using visual recognition.

Optionally, the settlement purchase module is specifically used to:

Deduct the amount of the purchased commodity from the payment channel selected by the user;

or,

Receive biometric information input by the user;

Determine whether the biometric information input by the user matches the preset biometric information;

If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user;

If there is no match, the settlement will be suspended;

or,

Start a third-party payment page, the user enters payment information on the third-party payment page;

Receiving payment success information sent by a third-party payment system according to the payment information;

Settle the purchased goods according to the payment success information;

or,

Get the user's face image;

Determine whether the face image of the user matches the preset face image;

If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user;

If there is no match, the settlement will be suspended;

or,

Obtain the user's mobile phone number and face image;

Determine whether the user's mobile phone number matches the preset mobile phone number;

If the user's mobile phone number matches the preset mobile phone number, determine whether the user's face image matches the preset face image;

If the face image of the user matches the preset face image, the amount of the purchased commodity is deducted from the payment channel selected by the user;

If the user’s face image does not match the preset face image, settlement will be suspended;

If the mobile phone number of the user does not match the preset mobile phone number, settlement is suspended;

or,

Get the user's payment code;

Settle the purchased goods according to the user's payment code;

or,

Obtain the user's identity information;

Determine the credit score corresponding to the user according to the user's identity information;

Settle the purchased goods according to the user's credit score;

or,

Obtain the user's mobile phone number;

According to the user's mobile phone number, settle the purchased merchandise.

Optionally, the settlement purchase module is also specifically used to:

Determine whether the user's credit score is greater than the preset credit score;

If it is greater, the user is allowed to leave the store with the purchased product without paying, and the amount of the purchased product is later deducted from the account information corresponding to the user's identity information;

If it is less, the settlement will be suspended.

Optionally, the settlement purchase module is also specifically used to:

Determine whether the user's mobile phone number matches the preset mobile phone number;

If there is a match, the amount of the purchased commodity is deducted from the account information corresponding to the user's mobile phone number;

If there is no match, the settlement will be suspended.

Optionally, the commodity purchase instruction includes a restricted commodity purchase instruction;

The settlement purchase module is also specifically used for:

Determine whether the commodity purchase instruction is the restricted commodity purchase instruction;

If yes, settle the purchased goods according to the preset purchase logic;

If not, settle the purchased goods.

Optionally, the settlement purchase module is also specifically used to:

Acquire the user's face image according to the restricted commodity purchase instruction;

According to the user's face image, determine whether the user places an order to purchase restricted goods for the first time;

Based on the judgment results, deal with restricted commodity transactions.

Optionally, the settlement purchase module is also specifically used to:

If the user places an order to purchase a restricted product for the first time, estimate the user's age based on the user's face image, and process the restricted product transaction based on the estimated user's age;

If the user does not place an order to purchase restricted commodities for the first time, sell the restricted commodities to the user.

Optionally, the settlement purchase module is also specifically used to:

Determine whether the estimated age of the user is greater than a preset age threshold;

If so, sell restricted goods to the user;

If not, suspend restricted commodity trading.

Optionally, the settlement purchase module is also specifically used to:

Start a third-party payment page, the user enters payment information on the third-party payment page;

Receiving payment success information sent by a third-party payment system according to the payment information;

Based on the payment success information, sell restricted commodities to the user.

Optionally, the settlement purchase module is also specifically used to:

Prompt the user to enter ID card information;

Judging whether the identity image in the ID card information matches the user's face image;

If there is a match, the restricted commodity transaction is processed according to the age information in the ID card information;

If there is no match, stop the restricted commodity transaction.

Optionally, the commodity purchase instruction further includes an online order instruction, and the online order instruction is used to purchase an offline commodity;

The device also includes:

A pickup code generation module, configured to generate a pickup code according to the online order instruction, and the pickup code is used to extract the offline commodity;

Pickup code input module, used to receive the pickup code input by the user;

The commodity transaction module is used to trade the offline commodity according to the delivery code.

In a third aspect, an embodiment of the present application provides a server, including:

At least one processor; and

A memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the at least one processing The device can be used to perform the above-mentioned information processing method.

In a fourth aspect, an embodiment of the present application provides an information processing system, including:

Terminal; and,

The server communicates with the terminal.

In a fifth aspect, an embodiment of the present application provides a non-transitory computer-readable storage medium, the non-transitory computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to cause the server to execute the foregoing Information processing method.

In a sixth aspect, an embodiment of the present application provides a computer program product, the computer program product including a computer program stored on a non-volatile computer-readable storage medium, the computer program including program instructions, when the program When the instruction is executed by the server, the server is caused to execute any one of the information processing methods.

In each of the above embodiments, first, an information processing request sent by a terminal is obtained. The information processing request includes the source code of the target product and account information. The account information corresponds to product points, and products of different product types correspond to product points of different point types. Secondly, according to the query times of the source code, adjust the product points corresponding to the account information. Thirdly, according to the type of points of the product points, the network currency corresponding to the purchased goods is generated. Therefore, on the one hand, when the user purchases the traceable source code of the commodity, this embodiment can adjust the user's points according to the number of queries of the traceable source code. However, the points can be used to redeem the commodity. Therefore, it can feed back the consumer and encourage consumers to purchase Commodities with traceable source code are conducive to the popularization of traceable source code. On the other hand, this embodiment can also generate network currency according to the point type of product points, which can be used to purchase any type of product, so it can improve the versatility of points.

BRIEF DESCRIPTION

One or more embodiments are exemplarily illustrated by the pictures in the corresponding drawings. These exemplary descriptions do not constitute a limitation on the embodiments, and elements with the same reference numerals in the drawings represent similar elements. Unless otherwise stated, the figures in the drawings do not constitute a scale limitation.

1 is a schematic structural diagram of an information processing system provided by an embodiment of the present application;

1a is a schematic diagram of a network architecture of an information processing system provided by an embodiment of the present application;

2 is a schematic plan view of a smart store provided by an embodiment of the present application;

2a is a schematic plan view of a smart store provided by another embodiment of the present application;

2b is a schematic plan view of a smart store provided by yet another embodiment of the present application;

3 is a schematic block diagram of a circuit applied to a smart store provided by an embodiment of the present application;

FIG. 3a is a schematic diagram from a first angle of a settlement area applied to a smart store according to an embodiment of the present application;

FIG. 3b is a schematic diagram from a second perspective of a settlement area applied to a smart store according to an embodiment of the present application;

3c is a schematic diagram of a settlement method provided by an embodiment of the present application for a user to scan a two-dimensional code on a commodity using a mobile phone;

4 is a schematic structural diagram of an intelligent container provided by an embodiment of the present application;

4a is a schematic structural diagram of the smart container provided in FIG. 4 after hiding the cabinet;

4b is a schematic block diagram of a circuit applied to a smart container provided by an embodiment of the present application;

4c is a front view of a smart container provided by another embodiment of the present application;

Figure 4d is a side view of Figure 4c;

4e is a schematic structural diagram of an intelligent container unfolding a door provided by an embodiment of the present application;

FIG. 4f is a schematic diagram of the structure of the packaging channel in FIG. 4e;

4g is a schematic structural view of the loading lane in FIG. 4e;

4h is a partial schematic diagram of a spring container channel provided by an intelligent container provided by an embodiment of the present application;

4i is a schematic cross-sectional view of the spring cargo channel in FIG. 4h;

4j is a schematic diagram of a settlement method for a user to scan a two-dimensional code on a smart container using a mobile phone according to an embodiment of the present application;

4k is a schematic diagram of a settlement method in which a user uses an ID card and a mobile phone to scan a two-dimensional code on a smart container when purchasing a product provided by an embodiment of the present application;

4l is a schematic diagram of user interaction with a smart container provided by an embodiment of the present application;

FIG. 4m is a schematic diagram of a voice-controlled settlement method for single-face swipe payment provided by an embodiment of the present application;

4n is a schematic diagram of a settlement method that combines a mobile phone number and a face-to-face payment provided by an embodiment of the present application;

4o is a schematic diagram of a settlement method of a smart container provided by an embodiment of the present application for scanning a payment code presented by a user;

4p is a schematic diagram of a settlement method in combination with a user's biometric information during face-to-face settlement provided by an embodiment of the present application;

4q is a schematic structural diagram of a fully enclosed mobile store provided by an embodiment of the present application;

4r is a schematic structural diagram of a semi-closed mobile store provided by an embodiment of the present application;

4s is a schematic structural diagram of an open mobile store provided by an embodiment of the present application;

4t is a schematic structural diagram of an open mobile shop provided by another embodiment of the present application;

FIG. 4u is a schematic structural view of a fully enclosed mobile store provided by yet another embodiment of the present application;

4v is a schematic structural diagram of a semi-closed mobile store provided by yet another embodiment of the present application;

4w is a schematic structural diagram of an open mobile store provided by yet another embodiment of the present application;

5 is a schematic diagram of a logistics process of a logistics warehousing system provided by an embodiment of the present application;

5a is a schematic diagram of a scheduling process of a cargo scheduling system provided by an embodiment of the present application;

5b is a schematic structural diagram of a business logic layer provided by an embodiment of the present application;

6 is a schematic flowchart of an information processing method provided by an embodiment of the present application;

6a is a schematic diagram of an illegal QR code page returned by a server to a terminal provided by an embodiment of the present application;

6b is a schematic diagram of an anti-counterfeit traceability verification page provided by an embodiment of the present application;

6c is a schematic diagram of a point reward page provided by an embodiment of the present application that a target product is queried for the first time;

FIG. 6d is a schematic diagram of a page for a target product to be queried for the first time according to an embodiment of the present application;

6e is a schematic diagram of a point payment page provided by an embodiment of the present application;

FIG. 6f is a schematic diagram of a reminder page for providing a successful point payment according to an embodiment of the present application;

7 is a schematic flowchart of S62 in FIG. 6;

7a is a schematic flowchart of S622 in FIG. 7;

7b is a schematic flowchart of S63 in FIG. 6;

7c is a schematic flowchart of S632 in FIG. 7b;

7d is a schematic diagram of an architecture model of a blockchain network provided by an embodiment of the present application;

7e is a schematic structural diagram of a blockchain system provided by an embodiment of the present application;

7f is a schematic flowchart of a method for providing a commodity credit according to an embodiment of the present application;

7g is a schematic flowchart of an information processing method according to another embodiment of the present application;

7h is a schematic flowchart of an information processing method according to yet another embodiment of the present application;

7i is a schematic flowchart of an information processing method according to yet another embodiment of the present application;

7j is a schematic flowchart of S67 in FIG. 7i;

FIG. 7k is a schematic flowchart of S672 in FIG. 7j;

FIG. 7l is a schematic flowchart of S6723 in FIG. 7k;

7m is a schematic diagram of the first flow of S691 in FIG. 71;

FIG. 7n is a schematic flowchart of S6912 in FIG. 7g;

7o is a schematic diagram of the second flow of S691 in FIG. 7f;

7p is a schematic flowchart of an information processing method according to yet another embodiment of the present application;

7q is an application scenario diagram of an online order purchase product and an offline delivery provided by an embodiment of the present application;

7r is a schematic flowchart of an order for providing an anti-counterfeit label/package according to an embodiment of the present application;

7s is a schematic flowchart of an anti-counterfeiting query provided by an embodiment of the present application;

7t is a schematic diagram of a process for providing a traceability of goods according to an embodiment of the present application;

7u is a schematic diagram of an ordering process provided by an embodiment of the present application;

FIG. 7v is a schematic diagram of a process for receiving and storing goods in an embodiment of the present application;

FIG. 8 is a schematic diagram of a process for picking and leaving a warehouse according to an embodiment of the present application;

8a is a schematic diagram of an inventory process provided by an embodiment of the present application;

8b is a schematic flowchart of a process for providing logistics docking provided by an embodiment of the present application;

8c is a schematic diagram of an ordering process provided by another embodiment of the present application;

8d is a schematic diagram of a return process provided by an embodiment of the present application;

8e is a schematic diagram of a shopping process provided by an embodiment of the present application;

8f is a schematic diagram of a user registration process when purchasing a commodity provided by an embodiment of the present application;

8g is a schematic diagram of a process for a user to take a commodity when purchasing a commodity according to an embodiment of the present application;

8i is a schematic diagram of a purchase payment process provided by a smart store according to an embodiment of the present application;

8j is a schematic diagram of a replenishment process of a smart store provided by an embodiment of the present application;

8k is a schematic diagram of a process for removing a smart store from an embodiment of the present application;

FIG. 8l is a schematic diagram of an inventory process provided by an embodiment of the present application;

FIG. 8m is a schematic flowchart of an automatic device alarm provided by an embodiment of the present application;

8n is a schematic flowchart of an alarm provided by an operator according to an embodiment of the present application;

8o is a schematic diagram of a process for providing on-site invoice printing according to an embodiment of the present application;

8p is a schematic diagram of a process for obtaining an express invoice provided by an embodiment of the present application;

8q is a schematic diagram of a process for obtaining an electronic invoice provided by an embodiment of the present application;

8r is a schematic diagram of an advertising account opening process provided by an embodiment of the present application;

8s is a schematic flowchart of an advertisement delivery result monitoring provided by an embodiment of the present application;

FIG. 8t is a schematic diagram of a process for advertising on a wireless network provided by an embodiment of the present application;

8u is a schematic diagram of a process for providing a U disk copy advertisement according to an embodiment of the present application;

9 is a schematic diagram of a process for providing consumer stored value according to an embodiment of the present application;

9a is a schematic diagram of an integration process provided by an embodiment of the present application;

9b is a schematic diagram of a consumer Wifi access process provided by an embodiment of the present application;

9c is a schematic diagram of a sales data analysis process provided by an embodiment of the present application;

9d is a schematic diagram of an IoT commodity ecosystem provided by an embodiment of the present application;

10 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application;

10a is a schematic diagram of the first structure of the integral adjustment module in FIG. 10;

10b is a schematic diagram of a second structure of the integral adjustment module in FIG. 10;

10c is a schematic structural diagram of an information processing apparatus according to another embodiment of the present application;

10d is a schematic structural diagram of the currency generation module in FIG. 10;

10e is a schematic structural diagram of an information processing apparatus according to still another embodiment of the present application;

10f is a schematic structural diagram of an information processing apparatus according to still another embodiment of the present application;

10g is a schematic structural diagram of an information processing device according to yet another embodiment of the present application;

10h is a schematic structural diagram of an information processing device according to still another embodiment of the present application;

FIG. 11 is a schematic structural diagram of a server provided by an embodiment of the present application.

detailed description

In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be described in further detail in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

The information processing method provided in the embodiments of the present application may be executed in any suitable type of electronic equipment with computing capabilities, such as servers, desktop computers, smart phones, tablet computers, and other electronic products. The server here may be a physical server or a logical server virtualized by multiple physical servers. The server may also be a server group composed of multiple servers that can communicate with each other, and each functional module may be distributed on each server in the server group.

The information processing apparatus of the embodiment of the present application may be a software system, which is independently installed in the above-mentioned electronic device, or may be used as one of the functional modules integrated in the processor to execute the information processing method of the embodiment of the present application.

The information processing method of the embodiment of the present application can be applied to any link of the commodity circulation link, the commodity sales link, and the commodity settlement link, that is, the information processing method of the embodiment of the present application can penetrate all value links in the commodity Circulation link, commodity sales link to commodity settlement link, and then to consumers, thus completing the release of the value of a commodity.

Each type of retail format includes one or more than one link in the commodity circulation link, commodity sales link, and commodity settlement link. Therefore, the information processing method of the embodiment of the present application can be applied to any type of retail format. In the embodiment of the present application Among them, the retail format is the specific form in which the sales market provides certain customers with certain goods and services. Among them, the retail format includes: smart containers (eg, unmanned vending containers), smart social stores (eg, integrated leisure and commodity services) , Smart stores (e.g., unmanned stores), mobile social stores (e.g., mobile and integrated leisure and merchandise services), mobile stores (e.g., mobile stores), department stores, convenience stores, supermarkets, large-scale Comprehensive supermarkets, warehouse-type membership stores, specialty stores, specialty stores or shopping malls, etc.

Each type of e-commerce model includes one or more than one link in the commodity circulation, commodity sales and commodity settlement links. Therefore, the information processing method of the embodiment of the present application can be applied to any type of e-commerce model, for example, in In the embodiment of the present application, the e-commerce model includes business-to-business (B2B), business-to-customer e-commerce model (Business-to-Customer, B2C), or online/offline/online to offline (Online To Offline, O2O) and so on.

The information processing method of the embodiment of the present application may use any suitable method to settle the goods. Each type of commodity settlement link includes an order entry link and a settlement link. When a user purchases a commodity, the system generates order information for purchasing the commodity. Then, the system settles the purchased goods according to the settlement method selected by the user.

Please refer to Table 1. Table 1 shows the correspondence between the order entry type and settlement type during settlement. As shown in Table 1:

Table 1

It can be seen from Table 1 that the order entry types include six types. The first order entry method: the user scans the QR code printed on the goods using the terminal, and the terminal sends an access request to the server. Then, the server responds to the access request. Commodity, generate order information, and then complete the order entry of the commodity.

The second order entry method: the user selects the product to be purchased on the product detail page, where the product detail page is used to display the product information of various types of products, so that the user can select the product for purchase. After the user selects the commodity to be purchased, a purchase instruction is issued, and the server generates order information according to the purchase instruction and the commodity information of the commodity to be purchased, and then completes the order entry of the commodity.

The third order entry method: the infrared scanning device sequentially scans the identification codes of the commodities, and then enters the scanned commodity information of all the commodities that need to be purchased into the system, so the server generates order information, and then completes the order entry of the commodity.

The fourth order entry method: the RFID scanning device sequentially scans the RFID tags of the goods, and then enters the scanned commodity information of all the goods that need to be purchased into the system. Among them, the RFID scanning device can quickly scan the RFID tags of multiple goods, so that The product information of each product is obtained in a short time, so the server generates order information, and then completes the order entry of the product.

Fifth order entry method: the user uses voice to release the product information such as the product name that needs to be purchased, so the server generates order information containing each product information pointed to by the user's voice according to the product information pointed to by the user's voice, Then complete the order entry of the commodity.

The sixth order entry method: the camera acquires the user’s purchase behavior of the purchased product or the visual image of the product being taken away. The server analyzes whether the user’s purchase behavior of the purchased product matches the preset purchase behavior, or whether the visual image of the product is taken away Match the preset visual image, if yes, generate order information according to the product information of the product purchased by the user, and then complete the order entry of the product. If not, the order information of the product is not generated.

It can be seen from Table 1 that among the settlement types, it supports at least 10 settlement methods.

The first type of settlement: during settlement, the server determines whether the total amount of the current product purchase is less than the preset amount. If it is less, the user does not need to enter a password and automatically deducts the payment from the user's pre-selected payment channel. Among them, the payment channel Including local account balance payment, local point payment, third-party payment, etc. If it is greater, the user needs to enter the password to deduct the charge.

In this way, it can avoid secret settlement and improve settlement efficiency.

The second type of settlement: during settlement, the server obtains the user's biometric information, where the biometric information includes unique biometrics such as fingerprints, palm prints, or irises. Secondly, the server determines whether the biometric information matches the preset biometric information. If it matches, the server directly deducts the amount from the payment channel selected by the user. If there is no match, the server prompts the user to re-enter biometric information.

In this way, it can improve settlement security.

The third type of settlement: during settlement, the third-party payment interface is activated, the user enters payment information on the third-party payment interface, and if the server receives the payment success information sent by the third-party payment interface, the commodity settlement is successful. If the server does not receive the payment success information sent by the third-party payment interface, the commodity settlement fails.

The fourth type of settlement: during the settlement, the camera acquires the user's face image, and the server recognizes the user's face image. If the recognition is successful, a charge is made in the account or payment channel corresponding to the user's face image. If the recognition fails, the user is prompted to change the payment method.

The fifth type of settlement: during settlement, the server obtains the user's mobile phone number and face image. First, the server determines whether the user's mobile phone number matches the preset mobile phone number. If it matches, the server then obtains the preset face image corresponding to the user's mobile phone number. If the preset face image matches the acquired face image, the server Debit from the payment channel selected by the user. If the user's mobile phone number does not match the preset mobile phone number, the server prompts the user to re-enter the mobile phone number or change the payment method. If the preset face image does not match the acquired face image, the server reacquires the user's face image or changes the payment method.

Sixth settlement method: during settlement, the user presents the payment code to the scanning device, and the scanning device sends the payment code to the server, and the server deducts the user according to the payment code.

Seventh settlement method: during settlement, the user selects the account balance settlement type from the payment channel, so the server deducts the commodity amount from the account balance.

Eighth settlement method: during settlement, the user selects the type of account point settlement from the payment channel, so the server deducts the points corresponding to the commodity amount from the account points.

Ninth settlement method: during settlement, the server obtains the user's identity information, and confirms the user's credit score based on the user's identity information. If the user's credit score is greater than the preset credit score, it is allowed to directly carry the goods out of the store, and later Debit from the payment channel selected by the user based on the user's identity information. If the user's credit score is less than the preset credit score, the user is forbidden to directly leave the store with the product, and the user can only leave the store after the user settles the product.

Tenth settlement method: during settlement, the server determines the user's mobile phone number, determines the user's identity information based on the user's mobile phone number, and settles the commodity based on the user's identity information.

In some embodiments, users can arbitrarily combine order entry types and settlement types to realize various payment methods. For example, the order entry types are 6 types, the settlement types are 10 types, and the combined result of the order entry types and settlement types is 60. Therefore, the system supports at least 60 payment methods.

In some embodiments, when a user purchases a restricted product, the system needs to verify the user's identity information. For example, the system collects the user's biometric information for verifying the user's identity information.

Please refer to Table 2. Table 2 shows the correspondence between order entry type, identity verification and settlement type during settlement. As shown in table 2:

Table 2

It can be seen from Table 2 that when a user purchases a product, the system needs to verify whether the product needs to be authenticated, such as purchasing restricted products such as cigarettes. Therefore, the system supports at least 120 kinds of product purchase methods.

Please refer to FIG. 1, which is a schematic structural diagram of an information processing system provided by an embodiment of the present application. As shown in FIG. 1, the information processing system 100 includes a terminal 11 and a server 12, and the server 12 communicates with the terminal 11.

In different business scenarios, the terminal 11 can realize different business interactions with commodities. Among them, the commodity is provided with a commodity identification code or a traceable source code. The commodity identification code is used to identify the commodity, such as a barcode, etc., and the traceable source code is used to obtain the security of the commodity Traceability information.

Different user entities operate the terminal 11 to achieve different business interactions. For example, in the logistics link, the terminal 11 may be an RFID reader (or other type of reader) for logistics personnel. The logistics personnel scans the commodity identification code of the commodity through the handheld terminal 11 or Source code tracing to record the monitoring of commodities in different logistics links in real time, and then realize the entry and monitoring of commodities from raw materials, production, warehousing, logistics information, etc. In the consumption link, the terminal 11 may be a consumer's mobile phone, and the consumer uses the mobile phone to scan the traceability source code of the commodity to verify whether the commodity is forged and check the anti-counterfeiting traceability information of the commodity. In the online ordering process of commodities, the terminal 11 may be any type of electronic device of the consumer, such as a mobile phone, a desktop computer, a tablet computer, a smart watch, etc. The consumer can implement an order for the purchased commodity online. In the online order placing process, consumers can use the terminal to place orders online for purchased goods. In the merchant link, the terminal 11 may be a merchant terminal. When a consumer purchases a commodity at the merchant, the merchant terminal may upload the commodity information to the server 12, and the server 12 performs big data analysis based on the commodity information to achieve precise marketing of the commodity.

In this embodiment, the number of servers 12 may be multiple, and multiple servers 12 may form a server group for communicating with the terminal 11 to process various types of information processing requests sent by the terminal 11.

The information processing system can be configured with different logic to divide various types of business application layers. For example, referring to FIG. 1a, the network architecture of the information processing system includes an application terminal platform, an application platform, a service platform, a technology platform, and a basic platform.

The application terminal platform can be classified into PC terminals, mobile terminals, call centers, smart vending cabinets and smart retail stores, which can be connected to regulatory departments, company employees, manufacturing companies, sales companies, retail customers and consumers.

The application platform includes the decision layer, management layer and transaction layer. The decision layer is used to provide decision support, the management layer is used for company operation management, and the transaction layer is used for wholesale transactions and retail transactions.

The service platform includes user center, commodity center, transaction center, promotion center, payment center, merchant center and report center. Each center is used to provide services for the corresponding users.

Technology platforms include distributed service frameworks, distributed message queues, distributed databases, distributed caches, and distributed network services, which can provide technical services to upper layers.

The basic platform includes a proprietary cloud/private cloud, an IoT platform, and a basic network for storing other data.

Please refer to FIG. 1 again. The information processing system 100 further includes a smart store 13, a smart container 14 and a logistics storage system 15.

1. Smart store.

The smart store 13 communicates with the server 12 and uploads the user information and product information of the smart store 13 to the server 12, and the server 12 performs big data analysis on various types of information, and has made more accurate marketing. For example, the server 12 performs big data analysis on various types of information, and accurately analyzes user needs according to a recommendation algorithm to recommend products to the user. For example, the recommendation algorithm includes a user-based collaborative filtering algorithm (UserCF algorithm) and an item-based collaborative filtering algorithm (ItemCF algorithm). The server 12 can process various types of information according to the UserCF algorithm or ItemCF algorithm to achieve finer granularity and accuracy. Recommend products to users.

For the UserCF algorithm, the purchase behavior or user portraits of users have similarities, and they can be recommended to him based on what the similar users have bought. Among them, user similarity means similar consumption habits and consumption capabilities of users.

For the ItemCF algorithm, it mainly recommends items that are similar to the items they previously liked. In general, 1. The closer the static attributes of the cost and selling price of two items, the higher their similarity; 2. The similarity of the two items, the higher their similarity; 3. The two items are jointly Many users like it, the higher the similarity of the two items.

Referring to FIG. 2, the smart store 13 is provided with a checkout area 301 and a commodity area 302. The commodity area 302 is used for placing commodities, and the checkout area 301 is used to settle commodities. The checkout area 301 is provided with a checkout entrance 31 and a checkout exit 32 When the checkout entrance 31 is opened, the checkout area 301 and the commodity area 302 are connected, and the user can enter the checkout area 301 from the commodity area 302. When the checkout exit 32 is opened, the user can walk from the checkout area 301 to the external environment of the smart store 13 To leave the smart store.

Optionally, the checkout area 301 has a “Z” shape, and the checkout entrance 31 and the checkout exit 32 are respectively provided in the “Z” shape checkout area.

The smart store 13 is also provided with a store entrance 303, which is used to allow users to enter the smart store 13, and the entrance only allows users to enter.

In some embodiments, please refer to FIG. 2a. The difference from the smart store shown in the above embodiment is that the smart store 13 is provided with an identity verification area 130. The identity verification area 130 is used to verify the entry when the user enters the smart store 13. User's identity information. The identity verification area 130 is provided with a first store door 1301 and a second store door 1302, and a display module 1303, a camera, and various sensors are provided in the area between the first store door 1301 and the second store door 1302. When the user opens the first store door 1301 and enters the identity verification area 130, the user performs a touch operation on the display module 1303 to request entry into the store for consumption, so the camera captures the user’s face image if the face image has been pre-stored in the database And, as a legal user, the second store door 1302 is opened, and the user can enter the store through the second store door 1302 for consumption. In some embodiments, the second store door 1302 may also serve as an exit. After the user enters the store and consumes, the user may walk out of the smart store through the second store door 1302. If the face image is not pre-stored in the database, the user can scan the QR code on the display module 1303 through various social accounts to log in to the APP account of the smart store and enter the store for consumption.

In some embodiments, the smart store may also select as shown in FIG. 2b.

It can be understood that the content trained by those skilled in the art in the embodiments of the present application can be authenticated in any suitable way, and the store is open for consumption, which is not limited to the methods described in the above embodiments .

Referring to FIG. 3, the smart store 13 includes a sensor 131, a camera 132, an RF reading and writing device 133, and a local controller 134. The sensor 131, a camera 132, and an RF reading and writing device 133 are respectively connected to the local controller 134, the local controller 134, and the server 12 connections.

The sensor 131 is specifically used to detect whether there is a user's sensing signal in the preset area of the checkout entrance 31. When there is a user in the preset area, the sensing signal is triggered to be generated. The preset area is specifically an area in the commodity area 302 close to the checkout entrance 31, and the user can enter the checkout area 301 only through this area. Therefore, when it is detected that the user's sensing signal exists in the preset area, it means that a user wants to leave the smart store, and the current state of the user is to enter the checkout area 301.

The camera 132 includes a plurality of cameras, and is installed in the smart store 13, which is specifically set in the checkout area 301, the checkout entrance 31, the checkout exit 32, the entrance of the smart store 13, the commodity area 302, and so on. The camera 132 is used to collect user images and send the collected user images to the local controller 134.

In some embodiments, the camera 132 can track the movement of the same user. For example, when the entrance of the smart store 13 photographs the user A entering the smart store, according to the active area of the user A in the smart store 13, the camera 132 corresponding to the area captures the image of the user A until the user A leaves the smart Store 13 only ends the image collection of user A. After acquiring all the images of user A in the smart store, the movement trajectory of user A can be analyzed according to the sequence of image acquisition, so that user A can be accurately identified according to the movement trajectory , And analyze the category of goods purchased by user A and so on.

The radio frequency reading and writing device 133 is used to identify whether there is a commodity in the checkout area, and is also used to read the information of the commodity purchased by the user, the information including the commodity price, commodity name, commodity category, and the like. The radio frequency reading and writing device 133 sends the read commodity information to the local controller 134. The radio frequency reading and writing device 133 may specifically be an RFID reader.

The local controller 134 is used to receive the relevant information sent by the sensor 131, the camera 132, and the radio frequency reading and writing device 133, and process the relevant information. The local controller 134 in this embodiment is specifically used to deal with the problem of automatic checkout.

Please refer to FIG. 3a and FIG. 3b together. Specifically, when the sensor 131 detects the presence of the user’s sensing signal in the preset area of the checkout entrance 31, the sensing signal is sent to the local controller 134. At this time, the local controller 134 controls the camera 132 to collect the first area image in the checkout area 301, and the camera 132 sends the collected first area image to the local controller 134. The local controller 134 is used to determine whether there is a person in the checkout area 301 based on the first area image; if there is no one, control the door opening of the checkout entrance 31, and control the camera 132 to collect the second area image of the checkout area 301, and Obtain the second area image, so as to determine whether there is only one user in the checkout area 301 according to the second area image; if there is only one user in the checkout area 301, and checkout is detected by the radio frequency reading and writing device 133 When there is a product in the area 301, the door of the checkout entrance 31 is controlled to be closed, and the user's facial features are obtained, and the user's account is obtained according to the facial features, and the radio frequency reading and writing device 133 is used to obtain the The product information purchased by the user and its corresponding price; the corresponding amount is deducted from the user's account according to the price, and the door of the checkout outlet 32 is controlled to open. Here, only when there is only one user in the checkout area 301 and there are commodities, the corresponding checkout operation is performed, and the current user is identified through face recognition during checkout, so that the user can be accurately identified to ensure more accurate checkout .

The local controller 134 collects the user's facial image through the camera 132, and obtains the user's facial features according to the facial image. Understandably, in some cases (such as the user blocking the face, the user bowing the head, etc.), the local controller 134 cannot accurately obtain the user's facial image, that is, the user cannot be accurately identified based on the user's facial features, so that it cannot be smooth Completes the settlement process of the goods purchased by the user.

In some embodiments, the checkout area 301 may support any suitable payment method. For example, when a user carries a commodity into the checkout area 301, the RF reading and writing device in the checkout area 301 reads each commodity and generates a commodity list and Two-dimensional code, after the user confirms that the product list is correct, scan the two-dimensional code to settle the goods. During the settlement, the user can use a third-party payment method for settlement, or can use local points for settlement. For another example, a user generates a QR code for payment through a mobile phone, and then aligns the QR code with a scanner to perform scanning and settlement. For another example, the checkout area 301 may also perform face-swapping or voice-controlled payment to the user. For another example, the user can also scan the QR codes on the products one by one to settle each product.

Therefore, in some embodiments, the process of the local controller 134 acquiring the facial features of the user specifically includes: controlling the camera 132 in the checkout area 301 to acquire the first user image of the user, and acquiring the first User image; determine whether the first user image includes the user's facial features; if not, obtain the user's dress and body features from the first user image; obtain other products located in the smart store 13 A second user image collected by the camera 132; extracting an image of the user including the dressing feature and body shape feature from the second user image; determining whether the extracted image includes the dressing feature The facial features of the user with the body shape feature; if there is, the facial features of the user with the dressing feature and the body shape feature are obtained from the extracted image; if not, a prompt message for face alignment with the camera is issued. In this embodiment, if the user's facial features cannot be acquired in the checkout area 301, the user is identified based on the other characteristics of the user and the image collected by the user before entering the checkout area 301, and the user is identified After the user, the facial features of the user are extracted from the image of the identified user. Since multiple cameras 132 are provided in the smart store 13, when the user is active in the smart store 13, there will always be at least one camera that can capture the face image of the user, so the user can be accurately obtained through the above embodiment Facial features. If the images collected by all cameras 132 cannot obtain the user's facial features, you can send a prompt message such as face alignment to the camera by voice, etc., and only after the user's facial features are accurately recognized, the checkout exit 32 is opened , Otherwise the user cannot leave.

Wherein, the above-mentioned clothing features include the color and style of clothes worn by the user, the appearance of the hat worn, the appearance of shoes worn, and the like, and the above-mentioned physical features include the user's fat, thin, tall, short and so on. In addition, other user characteristics such as walking characteristics (such as step width and walking speed) can also be used to identify users in the checkout area.

In some embodiments, please refer to FIG. 3 again. The smart store 13 further includes an output device 135 and a display screen 136. Both the output device 135 and the display screen 136 are connected to the local controller 134. During the process of processing the automatic checkout by the local controller 134, if the checkout area 301 includes at least two users, the local controller 134 is used to control the output device 135 to output a preset prompt message that the person exits the checkout area, And the door of the checkout outlet 32 is kept closed and the door of the checkout inlet 31 is opened. The display screen 136 is used to display a list of goods purchased by the user and generate a QR code for settlement.

The preset reminder information is used to remind the user that there can only be one user in the checkout area 301, otherwise the smart store 13 cannot be left smoothly. The output device 135 may specifically be a speaker or a display screen. When it is a speaker, the preset prompt information may be a voice, such as "only one user at a time can pass in the current area." When it is a display screen, the The preset prompt message may be a piece of text. Of course, the preset prompt information can also be expressed by sound and text at the same time.

In some embodiments, if there is only one user in the checkout area 301 and it is detected that there is no product in the checkout area 301, the local controller 134 is also used to control the closing of the gate of the checkout entrance 31 and the opening of the gate of the checkout exit 32 . Thus, it is ensured that users who have not purchased goods can leave the smart store 13 without affecting the automatic checkout process of the smart store.

Therefore, the smart store 13 sets up two outlets in the checkout area, as well as sensors, cameras, radio frequency reading and writing equipment, and a processor, so as to ensure that there is only one user in the checkout area, only to purchase goods for the user Check out. This embodiment can accurately check out the goods purchased by the user, and improve the accuracy of automatic checkout in the smart store.

In some embodiments, the smart store supports the following settlement methods:

1. The user directly scans the settlement method of the QR code pasted on the product:

Please refer to FIG. 3c. When purchasing a product, the user can scan the QR code on the product using the mobile phone. Then, the mobile phone jumps to the payment page, which can be a designated payment page or a third-party payment page. After the user enters the amount on the payment page to complete the payment, the back-end server receives the payment success message sent by the bank or can successfully deduct the amount of the commodity from the local account, and sends the purchase success message to the user's mobile phone. Commodity out of the shop.

2. The system scans the settlement method of the payment code presented by the user:

When purchasing a product, the user actively opens the payment page of the mobile phone, where the payment page displays a payment code, which can be a local payment page or a third-party payment page. The user displays the payment page to the scanning device in the smart store, the scanning device scans the payment code, and sends the settlement information to the back-end server. When the back-end server sends the deduction information to the bank (payment channel) or judges the local account based on the settlement information Whether the payment can be debited, if the payment success information sent by the bank (payment channel) is received or the amount of the product can be successfully deducted from the local account, the purchase success information is sent to the user's mobile phone, so the user can normally carry the product out of the store freely.

In this way, it can avoid that the user's mobile phone can successfully complete the payment when there is no network.

3. The system combines the user's ID card and scans the settlement method of the payment code presented by the user:

When purchasing a product, the scanning device obtains the product information of each product and sends the product information to the back-end server. The back-end server determines whether the product is a restricted product according to the product information of each product. If it is a restricted product, the back-end server indicates smart The store prompts the user to scan the ID card. When the identity information of the user’s ID card meets the purchase conditions, the product is recognized as a "purchasable product", so all the products (including restricted products) purchased by the smart store from the user Information, generate a product list, and present the product list to the user. After confirming that the products listed in the product list are correct based on the product list, the user sends the order confirmation information to the smart store.

The user displays the payment code to the scanning device in the smart store, the scanning device scans the payment code, and sends the settlement information to the back-end server. When the back-end server sends the deduction information to the bank (payment channel) or judges the local account according to the settlement information Whether the payment can be debited, if the payment success information sent by the bank (payment channel) is received or the amount of the product can be successfully deducted from the local account, the purchase success information is sent to the user's mobile phone, so the user can normally carry the product out of the store freely.

4. The settlement method of the payment QR code generated by the user scanning system:

When buying goods in a smart store, the user randomly selects a number of goods. Various sensors of the smart store (such as RFID tag readers) acquire the product information of all the goods purchased by the user. Therefore, the smart store according to the product information of all the goods purchased by the user , Generate a product list, and present the product list to the user. According to the product list, the user confirms that the products listed in the product list are correct, and then sends a confirmation order information to the smart store. Then, the smart store generates a payment QR code based on the confirmation order information. The user can use the mobile phone to scan the payment QR code, so , The user's mobile phone presents a payment page, after the user completes the payment on the payment page, and the smart store receives the payment success information, the user can complete the entire process of product purchase.

5. The system scans the user's ID card, and after confirming that it is legal, the user scans the payment method of the payment QR code generated by the system:

When purchasing a product, the scanning device obtains the product information of each product and sends the product information to the back-end server. The back-end server determines whether the product is a restricted product according to the product information of each product. If it is a restricted product, the back-end server indicates smart The store prompts the user to scan the ID card. When the identity information of the user’s ID card meets the purchase conditions, the product is recognized as a "purchasable product", so all the products (including restricted products) purchased by the smart store from the user Information, generate a product list, and present the product list to the user. According to the product list, the user confirms that the products listed in the product list are correct, and then sends the order information to the smart store. Then, the smart store generates a payment QR code based on the order information. The user can scan the payment QR code using the mobile phone. The mobile phone presents a payment page. The user notifies the server after completing the payment on the payment page. The server sends a payment success message to the smart store, and the user can complete the entire process of product purchase.

6. Face settlement method:

When the user enters the smart store to purchase goods, the smart store obtains the user's face image, and determines whether the account information corresponding to the user's face image is pre-stored according to the user's face image, and if so, the account information is determined when the user settles Whether the corresponding balance is greater than the total amount of goods purchased by the user. If it is greater, the smart store automatically deducts the total amount of the purchased goods from the balance corresponding to the account information. If it is less, the smart store prompts the user to recharge. If the account information corresponding to the user's face image is not pre-stored, the user is prompted to bind the account, register an account, or change the settlement method.

Through the above process, the smart store can support face-to-face settlement, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

7. When face-swapping and settlement, combined with the user's mobile phone number:

During settlement, the smart store obtains the mobile phone number and face image input by the user, and determines whether the mobile phone number entered by the user matches the preset mobile phone number in the account information corresponding to the user. If the mobile phone number entered by the user matches the preset mobile phone number, Obtain the preset face image corresponding to the preset mobile phone number, determine whether the preset face image matches the acquired face image, and if the preset face image matches the acquired face image, determine the balance corresponding to the account information Whether it is greater than the total amount of goods purchased by the user, and if it is greater, the smart store automatically deducts the total amount of purchased goods from the balance corresponding to the account information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart store prompts the user to recharge.

If the mobile phone number does not match the preset mobile phone number, the user is prompted to re-enter the mobile phone number.

Through the above process, the smart store can accurately swipe the face to settle, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

8. When swiping face settlement, combined with the user's biometric information:

When the user enters the smart store to purchase goods, the smart store obtains the user's face image, and determines whether the account information corresponding to the user's face image is pre-stored according to the user's face image, and if so, the account information is determined when the user settles Whether the corresponding balance is greater than the total amount of commodities purchased by the user, and if it is greater than this, a prompt message is sent to the account corresponding to the user. The prompt message is used to prompt the user to enter biometric information in the biometric scanning device. The smart store receives the biometric information input by the user. If the biometric information corresponds to the preset biometric information, the smart store automatically deducts the total amount of the purchased goods from the balance corresponding to the account information. If the biometric information does not correspond to the preset biometric information, the user is prompted to re-enter the biometric information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart store prompts the user to recharge.

If the account information corresponding to the user's face image is not pre-stored, the user is prompted to bind the account, register an account, or change the settlement method.

In some embodiments, the biometric information includes palmprint information, iris information, voiceprint information, fingerprint information, and any other unique identity information.

Through the above process, the smart store can accurately swipe the face to settle, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

9. In the face-to-face settlement, the settlement method combined with the voice message sent by the user:

When a user enters the smart store to purchase a product, the voice releases the name of the product to be purchased. The smart store obtains the product name of each product released by the user's voice and generates a product list containing each product released by the user's voice. After the user confirms that it is correct, the smart The store obtains the user's face image, and determines whether the account information corresponding to the user's face image is pre-stored according to the user's face image. If so, when the user settles, determines whether the balance corresponding to the account information is greater than the user's purchase of goods If the total amount is greater than that, the smart store will automatically deduct the total amount of purchased goods from the balance corresponding to the account information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart store prompts the user to recharge.

If the account information corresponding to the user's face image is not pre-stored, the user is prompted to bind the account, register an account, or change the settlement method.

10. Credit settlement method:

When a user enters a smart store to purchase goods, the smart store determines the user's identity information by determining the user's identity information through face image analysis, or by voice analysis, or by analyzing the user's biological information The characteristic information determines the identity information of the user, or the identity information of the user is determined by the user logging into the system of the smart store by using a third-party login method.

After the smart store determines the user's identity information, when the user purchases the product, the user can extract the goods without leaving the settlement in the smart store in advance, and the smart store can deduct the purchase of goods from the balance corresponding to the user account information afterwards total amount.

In some embodiments, the smart store may first determine the product information of all the products purchased by the user. Secondly, the smart store calculates the total amount of all commodities based on the product information of all the commodities purchased by the user. Finally, the smart store determines whether the total amount of all commodities is greater than the credit amount set in advance for the user. If it is greater, the smart store prohibits the user from withdrawing the merchandise from the store before completing the product settlement, and prompts the user to complete the settlement in the smart store. If it is less than this, the user can withdraw the goods from the store without settlement in the smart store, and the subsequent smart store can be deducted separately.

It can be understood that those skilled in the art can make alternative settlement methods based on the content described in this embodiment, and the replacement should fall within the protection scope of the embodiments of the present application.

2. Smart container.

The smart container 14 is used to sell goods unmannedly and intelligently, and the goods include specialty goods, alcoholic goods, and general goods. In some embodiments, since monopoly products or alcoholic products are restricted products, consumers need to meet a certain age to purchase restricted products. Therefore, the purchase logic of restricted products and non-restricted products is different. In order to facilitate the purchase of restricted goods, the smart container can be constructed as a monopoly or alcohol product, or as a non-restricted product. Of course, the smart container can also be constructed as a structure that integrates restricted merchandise and non-restricted merchandise monopoly.

4 and 4a, the smart container 14 includes a cabinet 141, a display screen 142, a shelf 143, and a cargo path 144.

The cabinet 141 is used to carry various commodities, and the display screen 142 is used to display product information and advertisement information. Moreover, the display screen 142 also serves as an interactive interface between the user and the smart container 14. The user can input various instructions on the display screen 142 to Implement commodity trading. In some embodiments, the display screen 142 is a 43-inch infrared touch screen.

One side of the shelf 143 is movably connected to the inner surface of the side of the cabinet 141, and the goods path 144 is provided on the shelf 144. In some embodiments, the number of shelves 143 is four. It can be understood that in other embodiments, the number of shelves 143 is not limited to four.

The cargo channel 144 can be designed to place various small items such as beverages and cigarettes. The goods are placed on the goods channel 144, and the cabinet 141 is provided with a shared goods channel for transferring the goods in the goods channel 144 on the shelf 143. The goods are transmitted to the outlet through the shared goods channel, and then the user takes out the goods through the outlet. Complete the shopping process.

In this embodiment, the intelligent container can search for the storage location of the commodity according to the commodity information to realize the sale of different commodities in the same lane to meet the user's demand for different types of commodities.

The product information can be the product type, the number of products, or the product storage information, etc. The user can select the desired product according to the product information displayed on the display screen of the smart container. The user can not only choose the same product in the same lane, but also choose For different types of commodities on the same freight lane, users can choose different commodities according to the types of commodities presented on the display, or choose the commodities to be purchased according to the number of commodities presented on the display, or according to the Commodity storage information to select the commodity to be purchased.

Referring to FIG. 4b, the smart container 14 further includes a camera component 145, a GPS locator 146, a QR code reading head 147, a wireless charging component 148, an identity acquisition module 149, a WIFI module 150, a temperature sensor 151, a humidity sensor 152, and infrared detection Device 153 and control module 154.

The camera module 145 is connected to the control module 154, and the control module 154 is connected to the server 12. The camera component 145 is disposed at the front of the cabinet 141, and is used to obtain passenger flow and user face information passing through the smart container. The control module 154 adjusts the quantity, type, and price of the goods to be sold according to the passenger flow.

In order to improve the shooting angle and shooting range of the camera assembly 145, reduce the arrangement of the camera assembly 145, and reduce the system cost, a real-time capture of high-definition video frame images of the preset area can be performed by using the camera assembly 145 and a multi-dimensional rotating motor. Of course, you can choose the integrated camera assembly 145 to replace the combination of the multi-dimensional rotating motor and the camera assembly 145, such as a hemispherical all-in-one machine, a fast dome all-in-one machine, an integrated high-definition camera with a gimbal, or an integrated camera with built-in lens, etc. , The above-mentioned all-in-one machine can achieve automatic focusing. Preferably, choose a high-definition camera with waterproof function, small size, high resolution, long life, and a universal communication interface.

In some embodiments, the camera component 145 is a network camera, a low-light camera, or the like.

The GPS locator 146 is used to locate the geographic location of the intelligent container 14 and send the geographic location of the intelligent container 14 to the control module 154, and the control module 154 uploads the geographic location of the intelligent container 14 to the server 12 again, so that the administrator can Unified management of various intelligent containers. For example, when the smart container 14 deviates from the preset position range, the server 12 generates an alarm message.

The two-dimensional code reading head 147 is used to read the two-dimensional code information of the user, and send the two-dimensional code information of the user to the control module 154, and the control module 154 uploads the two-dimensional code information of the user to the server 12, the server 12 according to The user's QR code information will be deducted for the goods purchased by the user.

The wireless charging component 148 can provide power for each circuit module of the smart container 14 and can also provide power for the user's terminal.

The identity collection module 149 is used to read the user's ID card information, and the control module 154 sells restricted commodities based on the user's ID card information. For example, if the user's ID card information indicates that the user's age is greater than 18 years old, the control module 154 provides the user's selected cigarette or alcohol product. The user's ID card information indicates that the user's age is less than 18 years old, and the control module 154 prohibits the sale of cigarettes or alcoholic goods selected by the user.

The WIFI module 150 is used to provide Internet services for users. When a user purchases goods and lacks a network, the WIFI module 150 can provide Internet services for the user. The user connects to the Internet through a terminal to complete the purchase of goods.

The temperature sensor 151 is used to detect the temperature inside the smart container 14 and the humidity sensor 152 is used to detect the humidity inside the smart container 14 and send the detected temperature or humidity to the control module 154 when the temperature or humidity in the container is too high The control module 154 generates alarm information and uploads the alarm information to the server 12, so that the administrator can maintain the intelligent container in time.

The infrared detection device 153 is used to detect whether the commodity has dropped out of the shipping port, and send the detection information to the control module 154, and the control module 154 implements the commodity transaction according to the detection information. For example, when the control module 154 analyzes based on the detection information that the product has not fallen into the shipping port, it automatically performs a refund operation to return the payment to the user. When the control module 154 analyzes the commodity based on the detection information and drops it out of the shipping port, it displays the transaction success information.

The control module 154 serves as the control core of the smart container 14, which can control the smart container 14 to complete the commodity transaction, and also can control the information transmission between the smart container 14 and the server 12.

The working principle of intelligent container automatic vending is as follows:

First, the smart container receives shopping instructions.

In this embodiment, the "shopping instruction" refers to the merchandise information presented by touching the display screen, and then the merchandise information triggers the receipt of the shopping instruction. It is understandable that in other embodiments, the user may directly touch the display screen with his hand The presented commodity information triggers a shopping instruction, and the display screen may also trigger the shopping instruction by clicking on the commodity information presented on the display screen with a preset touch pen. Among them, the "commodity information" presented by the display screen can be presented in various ways, including text, pictures, etc.; wherein, the display screen can include a capacitive touch screen, a resistive touch screen, and a surface Sonic touch screen, etc.

In this embodiment, the commodity information presented on the display screen includes: commodity type, commodity quantity, and commodity storage information. Receiving a purchase instruction can be triggered by touching the type of merchandise presented on the display screen, can also be triggered by receiving the purchase instruction by touching the number of merchandise presented on the display screen, or can be triggered by touching the merchandise storage information presented on the display screen.

Among them, the types of commodities can be divided into beverage area, commodity area, snack area, tissue area, etc. The beverage area can be divided into: Coke, Sprite, mineral water, fruit juice, yogurt, etc.; cigarette commodity area can be divided into: China, Dorsett, Good Day, Honghe, etc.; the snack area can be divided into: bread, instant noodles, peanuts, etc.; the tissue area can be divided into wet tissues, dry tissues, etc.

In this embodiment, you can first select the type by touching the product type information displayed on the display, such as: selection area, the display will display several cigarettes such as China, Imperial, Good Day, Honghe, etc., and then according to the needs, Select the required cigarettes. It is understandable that brands of multiple cigarettes can be stored in the same lane or can be stored in different lanes; according to the degree of demand for commodities, the number of commodities needed to be purchased can be selected to complete The purchase process.

It can be understood that the above cigarettes can be displayed on the display screen as pictures, videos, etc., the user can click on the corresponding picture information on the display screen to trigger the shopping instruction; or it can be text, the user can click on the need Corresponding text information on the display screen triggers the receipt of shopping instructions.

It can be understood that, in other embodiments, the number of commodities presented on the display screen may be touched, for example, when a beverage area is selected, different numbers of commodities will appear on the display screen.

It can be understood that in other embodiments, the merchandise storage information presented on the display screen can be touched, and the merchandise storage information will show that the first category is the beverage area, located on the shelf in the first column, and its position is marked as a, The second category is the cigarette zone, located on the shelf in the second column, its position is marked as b, the third category is the snack zone, located on the shelf of the third column, its position is marked as c, and the fourth category is the tissue area, located on the first On the four-row shelf, its position is marked as d; then according to the shopping needs, select the area that matches the demand; if the user needs to buy cigarettes, according to the above information presented on the display, touch the second row of shelf b; if the user needs To purchase snacks, you can touch the third row of shelves c based on the above information presented on the display.

Secondly, the smart container finds the storage location of the goods according to the product information, and the storage positions are located on different shelves.

In this embodiment, the "storage location" is a storage space related to the type of goods. It can be understood that the storage location is the cargo lane of the smart container, and different types of merchandise can be stored in the same cargo lane on the same shelf It can also be stored in different lanes of the same shelf, or in different lanes of different shelves.

The storage location can be stored according to the type and size of the goods. Similar products can be located in the same channel of the same shelf. Similar products can be placed in different channels of the same shelf or in the channels of different shelves; for example: in the cigarette area China and Emgrand can be located in the same lane of the same shelf, in different lanes of the same shelf, or in the lane of different shelves; the same size of the same kind of goods can be located on the same shelf or different shelves, for example, beverages Coke and Sprite can be located on the same shelf or different shelves in the district. You can find the storage location of the products by the above product types.

It can be understood that in other embodiments, commodities of different sizes in similar products can be stored on different shelves, for example, 250 mL cans of cola and 500 mL bottled cola can be stored on different shelves.

Find the storage location of the product according to the type of the product, and then confirm the stock of the product. If the stock of the product matches the information of the product, trigger the shipping instruction. Otherwise, continue to search for the storage location of the product. The storage location of the commodity, the search result is sent to the display screen, and the search result is presented through the display screen.

It is understandable that the user can choose whether to change the product information again according to the result of the product search sent to the display screen. If the product information is changed, the above operation is repeated. If the product information is not changed, the purchase process ends.

The "storage location" may also be a storage space related to the quantity of commodities. The storage location of the commodities is arranged according to the quantity of similar commodities. Multiple quantities of similar commodities are located on the same shelf or on different shelves, such as: Thirty bottles of Coke and twenty bottles of Sprite can be stored on the same shelf in the beverage area. If the space of one shelf is not enough to store thirty bottles of Coke and fifty bottles of Sprite, such goods can be stored on different shelves.

It can be understood that multiple quantities of different types of goods can be placed on the same shelf or on different shelves, for example, the same shelf can be placed on the beverage area and snack area.

It is understandable that multiple quantities of similar goods can be stored in the same lane or in different lanes; for example, one lane can store ten bottles of coke or ten bottles of sprite, and there are fifteen bottles of coke and five bottles of sprite , Then ten bottles of Coke can be stored in one channel, and the remaining five bottles of Coke and five bottles of Sprite can be stored in different channels; for example, if there are five bottles of Coke and five bottles of Sprite, then five bottles of Coke and five bottles of Sprite can be stored to Different shipping lanes.

Find the storage location of the goods according to the quantity of the goods, and then confirm the reserve amount of the goods. If the reserve amount of the goods matches the information of the goods, trigger the shipping instruction. Otherwise, continue to find the storage position of the goods. For the storage location of the goods, the search result is sent to the display screen, and the search result is presented on the display screen; for example, the user needs to purchase five bottles of coke, and the shelf for searching the storage location of the commodity has only two bottles of cola, and the search for the shelf two continues to store four bottles Coke, trigger shelf 1 and shelf 2 to be shipped in sequence. If the user needs to buy five bottles of cola, and the shelf one that finds the storage location of the product has only two bottles of cola, if there is no other cola found in other shelves, the shelf cannot be triggered. Goods, at this time, send the product search structure to the display screen.

It is understandable that the user can choose whether to change the product information again according to the result of the product search sent to the display screen. If the product information is changed, the above operation is repeated. If the product information is not changed, the purchase process ends.

The "storage location" may also be a storage space related to product storage information,

In this embodiment, the storage location of the commodity is searched according to the storage information of the commodity; wherein, the storage information of the commodity includes shelf location information; for example, the storage location of the commodity is divided into four categories, the first category is a beverage area, located in On the shelves in the first column, the location is marked as a, the second category is the cigarette area, which is located on the shelf in the second column, and its position is marked as b, and the third category is the snack area, which is located on the shelf in the third column, which The position is marked as c, the fourth category is the tissue area, and it is located on the shelf in the fourth column, and its position is marked as d; according to the product storage information on the display, you can find the corresponding shelf, and then find the goods storage channel, determine The storage location of the goods.

Find the storage location of the goods according to the storage information of the goods, and then confirm the reserve amount of the goods. If the reserve amount of the goods matches the information of the goods, the shipping instruction is triggered; otherwise, continue to search for the storage position of the goods. At the storage location of the commodity, the search result is sent to the display screen, and the search result is presented through the display screen.

It is understandable that the user can choose whether to change the product information again according to the result of the product search sent to the display screen. If the product information is changed, the above operation is repeated. If the product information is not changed, the purchase process ends.

Again, the smart container transfers the merchandise from the storage location to the outlet through the shared cargo lane.

In this embodiment, the "shared goods lane" refers to the conveying track of goods, that is, the goods fall from the rack's goods lane to the shared goods lane and drive the shared goods lane to deliver the goods to the outlet, the shared goods lane is located at On the side of the shelf, the products are located in the goods lane on the shelf. When the shipping instruction is triggered, the goods fall from the goods lane on the shelf to the shared goods lane. All the goods on the rack are sold through the shared goods lane after being sold. .

Products in different freight lanes are sent to the outlet through the shared freight lane, or different goods in the same freight lane are also sent to the outlet through the shared freight lane to complete the shopping process.

According to the above shipping instruction, the merchandise is released from the storage location, and the shared goods lane corresponding to the storage location is driven to transport the merchandise to the shipping port.

It can be seen from the above technical solution that the beneficial effect of the embodiment of the present application is that the automatic vending method provided by the embodiment of the present application triggers the receipt of a shopping instruction by touching the product information presented on the display screen, finds the storage location of the product according to the product information, and according to the shipment The instruction sends the goods from the storage location to the shared goods lane, and the goods are transferred from the shared goods lane to the outlet. The pattern on the display can be used to find the goods lane, and then the goods are driven out of the goods lane to achieve the same goods lane The sale of different commodities can also realize the sale of the same commodities or different commodities on different shelves to meet the needs of users for different types of commodities.

Please refer to FIG. 4c and FIG. 4d together. The smart container is equipped with a product placement area, a camera and a pick-up port. The product placement area is used to place the product. The camera is used to collect user images and collect customer traffic. The container completes the purchase of the goods, and the intelligent container automatically pushes the goods to the pickup port.

Taking the example of selling cigarettes exclusively, the smart container 14 can not only sell a single cigarette in the form of a package, but also an entire cigarette in the form of a strip. Please refer to FIG. 4e, the cargo channel 144 includes a packaging cargo channel 1441 and a stripped cargo channel 1442. The packaging cargo channel 1441 is used to store packaged cigarettes, and the strip cargo channel 1442 is used to store stripped cigarettes. The intelligence shown in FIG. 4e The container 14 includes a two-layer packaging lane 1441 and a two-layer strip loading lane 1442.

Please refer to FIG. 4f, the packaging channel 1441 includes a multi-layer packaging position 1401 and a first driving component 1402. The packaging position 1401 is used to place a pack of cigarettes, and the first driving component 1402 is used to push the cigarettes at the bottom layer to fall into Take the mouth. When a user places an order to purchase a cigarette, after successful payment, the corresponding first driving assembly 1402 pushes the cigarette located at the bottom layer out of the packaging position 1401 and falls into the fetching port.

Please refer to FIG. 4g, the strip loading channel 1442 includes a multi-layer strip loading position 1403 and a second driving assembly 1404, the strip loading position 1403 is used to place a strip of cigarettes, and the second driving assembly 1404 is used to push a strip located at the bottom layer Cigarettes fell into the mouth. When a user places an order to purchase a cigarette, after successful payment, the corresponding second driving assembly 1404 pushes a cigarette located at the bottom layer out of the bar loading position 1403 and falls into the fetching port.

In some embodiments, cigarettes can be packaged not only in strips, but also in other shapes, such as cylindrical shapes, etc. Correspondingly, the cargo channel of the smart container can also be configured to store cigarettes of other shapes , Not repeated here.

In some embodiments, the shape of the smart container is not limited to the shapes described in the above embodiments, but it can also have other variations. It is worth noting that: those skilled in the art can train the Any kind of modification or replacement of the intelligent container, however, the modification or replacement should fall within the scope of protection of this application.

The difference from the cargo lanes shown in the above embodiments is that, please refer to FIG. 4h and FIG. 4i together, each cargo lane 144 is connected with a spring 1405, and the goods are placed on the spring 1405. After the user successfully pays for the goods, the spring 1405 on the corresponding goods lane ejects the goods from the pickup port, so that the user can take out the purchased goods from the pickup port.

In some embodiments, the smart container supports the following settlement methods:

1. Scanning payment QR code generated by smart container:

When purchasing a product, the user randomly selects a number of products. The smart container determines the product information of all the products purchased by the user. Therefore, the smart container generates a payment QR code based on the product information of all the products purchased by the user. The user can use the mobile phone to scan the payment QR code Then, the user's mobile phone presents the payment page. After the user completes the payment on the payment page, the smart container receives the payment success information, and the user can complete the entire process of product purchase.

For example, referring to Figure 4j, the user can scan the payment QR code to implement the purchase order. After the user purchases the goods, the display screen of the smart container displays the payment QR code, and the user scans the payment QR code using the mobile phone. Then, the mobile phone jumps to the payment page, which can be the specified payment page or Payment page for third parties. After the user enters the amount on the payment page to complete the payment, the smart container determines that the payment is successful, and then pushes out the corresponding commodity.

2. The smart container scans the user's ID card, and after confirming that it is legal, the user scans the payment QR code generated by the smart container for the settlement method:

When purchasing a product, the user randomly selects a number of products. The smart container determines the product information of all the products purchased by the user. The smart container determines whether the product is a restricted product based on the product information of each product. If it is a restricted product, the smart container prompts the user to Scan the ID card. When the identity information of the user’s ID card meets the purchase conditions, the product is recognized as a "purchasable product". Then, the smart container generates a payment QR code. The user can use the mobile phone to scan the payment QR code. The user's mobile phone presents a payment page. After the user completes the payment on the payment page, after the smart container receives the payment success information, the user can complete the entire process of product purchase.

Please refer to Figure 4k. When a user purchases a cigarette or wine, the user needs to remove the ID card and place it in the card reading area of the smart container. When the smart container allows the user to purchase cigarette or wine according to the ID card information, the smart container is on the display The payment QR code is displayed, and the user can scan the payment QR code to complete the payment.

3. In the face-to-face settlement, the settlement method combined with the voice message sent by the user:

Please refer to Figure 4l, the smart container is equipped with a voice controller, and the user can interact with the smart container by voice to complete the purchase of goods. For example, when a user purchases a product, the voice releases the type of the purchased product, so the voice controller collects the voice, and the smart container completes the selection of the product according to the voice. After the user successfully pays, the smart container pushes the product out.

Please refer to Figure 4m, the smart container is equipped with a voice control device, and the user can interact with the smart container by voice to complete the purchase of goods. For example, when a user purchases a product, the voice releases the type of the purchased product, so the voice controller collects the voice, the smart container completes the selection of the product according to the voice, and the smart container obtains the user's face image, and according to the user's face image Determine whether the account information corresponding to the user's face image is pre-stored. If so, when the user settles, determine whether the balance corresponding to the account information is greater than the total amount of goods purchased by the user. If it is greater, the smart container will automatically remove the account information The corresponding balance deducts the total amount of purchased goods. If the account information corresponding to the user's face image is not pre-stored, the user is prompted to bind the account or register an account or change the settlement method. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart container prompts the user to recharge.

4. When swiping face settlement, combined with the user's mobile phone number:

During settlement, the smart container obtains the mobile phone number and face image entered by the user, and determines whether the mobile phone number entered by the user matches the preset mobile phone number in the account information corresponding to the user. If the mobile phone number entered by the user matches the preset mobile phone number, Obtain the preset face image corresponding to the preset mobile phone number, determine whether the preset face image matches the acquired face image, and if the preset face image matches the acquired face image, determine the balance corresponding to the account information Whether it is greater than the total amount of goods purchased by the user, and if it is greater, the smart store automatically deducts the total amount of purchased goods from the balance corresponding to the account information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart store prompts the user to recharge.

If the mobile phone number does not match the preset mobile phone number, the user is prompted to re-enter the mobile phone number.

Through the above process, the smart container can accurately brush face settlement, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

Please refer to FIG. 4n, considering the error of the face analysis algorithm, it cannot accurately judge two users whose appearances are particularly close, such as twins. Therefore, while maintaining the convenience of face-to-face payment, the accuracy of the payment is improved. In some embodiments, when face-to-face payment is made, the smart container first determines whether there is a pre-matching mobile phone number entered by the user through the phone number entered by the user The mobile phone number is set, because the faces of the twins are relatively close, but the mobile phone numbers of the two are different. Therefore, the smart container will eliminate some factors that affect the accuracy of payment by verifying the mobile phone number, and then continue to pay by face.

5. The settlement method of the smart container scanning the payment code presented by the user:

Please refer to Figure 4o. When purchasing a product, the user actively opens the payment page of the mobile phone. The payment page displays a payment code. The payment page can be a local payment page or a third-party payment page. The user displays the payment page to the scanning device in the smart container, the scanning device scans the payment code, and sends the settlement information to the back-end server. When the back-end server sends the deduction information to the bank based on the settlement information or determines whether the local account can be debited If the payment success information sent by the bank is received or the amount of the product can be successfully deducted from the local account, the purchase success information is sent to the user's mobile phone, so the smart container pushes the product out.

In this way, it can avoid that the user's mobile phone can successfully complete the payment when there is no network.

6. Smart container combined with user ID card, scan the payment code presented by the user for settlement method:

When purchasing a product, the scanning device obtains the product information of each product and sends the product information to the back-end server. The back-end server determines whether the product is a restricted product based on the product information of each product. If it is a restricted product, the back-end server indicates smart The container prompts the user to scan the ID card. When the identity information of the user's ID card meets the purchase conditions, the product is recognized as a "purchasable product". Therefore, all the products (including restricted products) purchased by the smart container from the user Information, generate a product list, and present the product list to the user. After confirming that the products listed in the product list are correct based on the product list, the user sends a confirmation message to the intelligent container.

The user displays the payment page to the scanning device in the smart container, the scanning device scans the payment code, and sends the settlement information to the back-end server. When the back-end server sends the deduction information to the bank based on the settlement information or determines whether the local account can be debited If the payment success information sent by the bank is received or the amount of the product can be successfully deducted from the local account, the purchase success information is sent to the user's mobile phone, so the smart container pushes the product out.

7. Face settlement method:

When purchasing goods, the smart container obtains the user’s face image, and determines whether the account information corresponding to the user’s face image is pre-stored according to the user’s face image, and if so, when the user settles, determines whether the balance corresponding to the account information It is greater than the total amount of goods purchased by the user. If it is greater, the smart container automatically deducts the total amount of purchased goods from the balance corresponding to the account information. If it is less, the smart container prompts the user to recharge. If the account information corresponding to the user's face image is not pre-stored, the user is prompted to re-register the account or change the settlement method.

Through the above process, the smart container can support face-to-face settlement, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

8. When swiping face settlement, combined with the user's biometric information:

Please refer to FIG. 4p. When purchasing goods, the smart container obtains the user’s face image, and determines whether the account information corresponding to the user’s face image is pre-stored according to the user’s face image. If yes, the account is determined when the user settles Whether the balance corresponding to the information is greater than the total amount of commodities purchased by the user, and if it is greater than this, a prompt message is sent to the account corresponding to the user. The prompt message is used to prompt the user to enter biometric information in the biometric scanning device. The smart container receives the biometric information input by the user. If the biometric information corresponds to the preset biometric information, the smart container automatically deducts the total amount of the purchased product from the balance corresponding to the account information. If the biometric information does not correspond to the preset biometric information, the user is prompted to re-enter the biometric information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart container prompts the user to recharge.

If the account information corresponding to the user's face image is not pre-stored, the user is prompted to re-register the account or change the settlement method.

In some embodiments, the biometric information includes palm print information, iris information, and any other unique identity information.

Through the above process, the smart container can accurately brush face settlement, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

9. Credit settlement method:

When purchasing goods, the smart container determines the user's identity information by determining the user's identity information through face image analysis, or by voice analysis, or by analyzing the user's biometric information The identity information of the user, or the identity information of the user is determined by the user logging in to the system of the smart container through a third-party login.

After the smart container determines the user's identity information, when the user purchases the product, the user can extract the product without completing the settlement in the smart container in advance, and the smart container can deduct the total amount of the purchased product from the balance corresponding to the user account information afterwards .

In some embodiments, the smart container may first determine the commodity information of the user purchasing all commodities. Secondly, the smart container calculates the total amount of all commodities based on the information of the commodities purchased by the user. Finally, the smart container determines whether the total amount of all commodities is greater than the pre-set credit amount for the user. If it is greater, the smart container prohibits the user from withdrawing the merchandise from the store before completing the product settlement, and prompts the user to complete the settlement in the smart container. If it is less, the user can pick up the goods and leave the store without settlement in the smart container, and the subsequent smart container can be deducted separately.

It can be understood that, those skilled in the art can make alternative settlement methods based on the content taught in this embodiment, and the replacement should fall within the protection scope of the embodiments of the present application.

3. Mobile shop.

Please refer to FIG. 4q to FIG. 4w together, the smart container 14 can be placed in a mobile store, and the consignment goods are sold in any commodity area.

In FIG. 4q, the mobile shop 400 includes a frame body 401, a turntable 402, a shop door assembly 403, and a power generating device 404.

The frame body 401 serves as the core skeleton of the mobile shop 400, and its structural shape is shaped like the head of a car. The frame body 401 includes an upper plate, a lower plate, and a connecting frame. The upper plate is installed at one end of the connecting frame, and the lower plate is installed at the other end of the connecting frame. The upper plate, the connecting frame, and the lower plate form a hollow space in the middle. The smart container can be placed in The hollow of the frame body 401.

The frame body 401 is installed on one side of the turntable 402, and the frame body 401 can rotate on the turntable 402. When the turntable 402 is placed on the ground, the frame body 401 can rotate relative to the ground, so the user adjusts the angle and position of the frame body 401 by rotating the frame body 401, for example, by rotating the frame body 401, The heating area and the like of the frame body 401 receiving sunlight radiation are reduced.

The turntable 402 can be composed of any suitable type of driving mechanism and transmission mechanism.

The upper plate and the lower plate are respectively provided with tracks, and the store door assembly 403 is provided between the respective tracks of the upper plate and the lower plate. The store door assembly 403 can freely slide along the track to close the mobile shop or open the mobile shop.

In some embodiments, the shop door components 403 on both sides of the mobile shop can be folded into the frame body 401. When it is necessary to open the store door of the mobile store, the administrator pushes the store door assembly 403 in the direction of gathering the store door assembly 403. When it is necessary to close the mobile store, the administrator pushes the store door component 403 in the direction of unfolding the store door component 403.

In some embodiments, the store door assembly 403 may be a glass door.

The power generating device 404 is disposed on the upper plate, and is used to generate electricity by wind or solar energy, thereby providing energy to the mobile shop. Therefore, the mobile shop has advantages of energy saving and environmental protection.

In some embodiments, the mobile store is not only equipped with smart containers, but also divided into a single product sales area, the product sales area can sell cooked food products, can also sell other types of products. When buying cooked food in the cooked food area, users can use their mobile phones to scan the QR code corresponding to the cooked food products. After the settlement is successful, the mobile store will push the cooked food products out.

In some embodiments, the mobile shop not only integrates the order settlement system, but also integrates the invoicing system.

In some embodiments, the mobile store supports multiple payment methods:

1. Scan the payment QR code generated by the mobile store for settlement:

When purchasing a product, the user randomly selects a number of products, and the mobile shop determines the product information of all the products purchased by the user. Therefore, the smart container generates a payment QR code based on the product information of all the products purchased by the user, and the user can scan the payment using the mobile phone. Dimension code, then, the user's mobile phone presents the payment page. After the user completes the payment on the payment page, the mobile shop receives the payment success information, and the user can complete the entire process of product purchase.

2. The mobile shop scans the user's ID card, and after confirming that it is legal, the user scans the payment QR code generated by the mobile shop for the settlement method:

When purchasing a product, the user randomly selects a number of products. The mobile store determines the product information of all the products purchased by the user. The mobile store determines whether the product is a restricted product based on the product information of each product. If the product is a restricted product, the mobile store prompts the user to request Scan the ID card. When the identity information of the user’s ID card meets the purchase conditions, the product is recognized as a "purchasable product". Then, the mobile store generates a payment QR code, and the user can use the mobile phone to scan the payment QR code. The user's mobile phone presents a payment page. After the user completes the payment on the payment page and the mobile store receives the payment success message, the user can complete the entire process of product purchase.

3. In the face-to-face settlement, the settlement method combined with the voice message sent by the user:

The mobile store is equipped with a voice control device, and users can interact with the mobile store by voice to complete the purchase of goods. For example, when a user purchases a product, the voice releases the type of the purchased product, so the voice controller collects the voice, and the mobile store completes the selection of the product according to the voice. The mobile store obtains the user's face image, and according to the user's face image Determine whether the account information corresponding to the user's face image is pre-stored. If so, when the user settles, determine whether the balance corresponding to the account information is greater than the total amount of goods purchased by the user. If it is greater, the mobile shop will automatically retrieve the account information The corresponding balance deducts the total amount of purchased goods. If the account information corresponding to the user's face image is not pre-stored, the user is prompted to bind the account or register an account or change the settlement method. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the mobile shop prompts the user to recharge.

4. When swiping face settlement, combined with the user's mobile phone number:

During settlement, the mobile shop obtains the mobile phone number and face image entered by the user, and determines whether the mobile phone number entered by the user matches the preset mobile phone number in the account information corresponding to the user. If the mobile phone number entered by the user matches the preset mobile phone number, Obtain the preset face image corresponding to the preset mobile phone number, determine whether the preset face image matches the acquired face image, and if the preset face image matches the acquired face image, determine the balance corresponding to the account information Whether it is greater than the total amount of goods purchased by the user, and if it is greater, the smart store automatically deducts the total amount of purchased goods from the balance corresponding to the account information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the smart store prompts the user to recharge.

If the mobile phone number does not match the preset mobile phone number, the user is prompted to re-enter the mobile phone number.

Through the above process, the mobile store can accurately brush the face to settle, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

5. The mobile shop scans the settlement method of the payment code presented by the user:

When purchasing a product, the user actively opens the payment page of the mobile phone, where the payment page displays a payment code, which can be a local payment page or a third-party payment page. The user displays the payment page to the scanning device in the mobile store, the scanning device scans the payment code, and sends the settlement information to the back-end server. When the back-end server sends the deduction information to the bank based on the settlement information or determines whether the local account can be debited If the payment success information sent by the bank is received or the amount of the product can be successfully deducted from the local account, the purchase success information is sent to the user's mobile phone, so the smart container pushes the product out.

In this way, it can avoid that the user's mobile phone can successfully complete the payment when there is no network.

6. The mobile shop combines the user's ID card and scans the settlement method of the payment code presented by the user:

When purchasing a product, the scanning device obtains the product information of each product and sends the product information to the back-end server. The back-end server determines whether the product is a restricted product based on the product information of each product. If it is a restricted product, the back-end server instructs to move The store prompts the user to scan the ID card. When the identity information of the user’s ID card meets the purchase conditions, the product is recognized as a "purchasable product", so all the products (including restricted products) purchased by the mobile store from the user Information, generate a product list, and present the product list to the user. According to the product list, the user confirms that the products listed in the product list are correct, and then sends a confirmation message to the mobile store.

The user displays the payment page to the scanning device in the mobile store, the scanning device scans the payment code, and sends the settlement information to the back-end server. When the back-end server sends the deduction information to the bank based on the settlement information or determines whether the local account can be debited If the payment success information sent by the bank is received or the amount of the product can be successfully deducted from the local account, the purchase success information is sent to the user's mobile phone, so the mobile shop pushes the product out.

7. Face settlement method:

When purchasing goods, the mobile store obtains the user's face image, and determines whether the account information corresponding to the user's face image is pre-stored based on the user's face image. If so, when the user settles, determines whether the balance corresponding to the account information It is greater than the total amount of goods purchased by the user. If it is greater, the mobile shop automatically deducts the total amount of goods purchased from the balance corresponding to the account information. If it is less, the mobile shop prompts the user to recharge. If the account information corresponding to the user's face image is not pre-stored, the user is prompted to re-register the account or change the settlement method.

Through the above process, the mobile store can support face-to-face settlement, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

8. When swiping face settlement, combined with the user's biometric information:

When purchasing goods, the mobile store obtains the user's face image, and determines whether the account information corresponding to the user's face image is pre-stored based on the user's face image. If so, when the user settles, determines whether the balance corresponding to the account information It is greater than the total amount of goods purchased by the user. If it is greater than this, a prompt message is sent to the account corresponding to the user. The prompt message is used to prompt the user to enter biometric information in the biometric scanning device. The mobile shop receives the biometric information input by the user. If the biometric information corresponds to the preset biometric information, the mobile shop automatically deducts the total amount of the purchased goods from the balance corresponding to the account information. If the biometric information does not correspond to the preset biometric information, the user is prompted to re-enter the biometric information. If the balance corresponding to the account information is less than the total amount of goods purchased by the user, the mobile shop prompts the user to recharge.

If the account information corresponding to the user's face image is not pre-stored, the user is prompted to re-register the account or change the settlement method.

In some embodiments, the biometric information includes palm print information, iris information, and any other unique identity information.

Through the above process, the mobile store can accurately brush the face to settle, which greatly facilitates the user's shopping, thereby enhancing the user's shopping experience.

9. Credit settlement method:

When purchasing goods, the mobile store determines the user's identity information by determining the user's identity information through face image analysis, or by voice analysis, or by analyzing the user's biometric information Identity information, or to determine the user’s identity information by logging into the mobile store’s system as a third-party login.

After the mobile store determines the user's identity information, when the user purchases the product, the user can extract the product without completing the settlement in the mobile store in advance, and the mobile store can deduct the total amount of the purchased product from the balance corresponding to the user account information afterwards.

In some embodiments, the mobile store may first determine the product information of the user purchasing all the products. Secondly, the mobile shop calculates the total amount of all commodities based on the product information of the user purchasing all commodities. Finally, the mobile shop determines whether the total amount of all commodities is greater than the credit amount set in advance for the user. If it is greater than this, the mobile shop prohibits the user from withdrawing the merchandise from the store before completing the commodity settlement and prompts the user to complete the settlement in the mobile shop. If it is less than this, the user can withdraw the goods at the mobile store without settlement, and the subsequent mobile store can be deducted separately.

It can be understood that, those skilled in the art can make alternative settlement methods based on the content taught in this embodiment, and the replacement should fall within the protection scope of the embodiments of the present application.

In some embodiments, the mobile store has multiple variant structures, as described below:

The difference between the mobile shop shown in FIG. 4r and FIG. 4q is that the mobile shop in FIG. 4q is fully enclosed, and FIG. 4r is semi-closed. In FIG. 4r, there is no door assembly 403 on one side of the mobile shop 400, and a column 405 is provided between the upper plate and the lower plate, wherein the column 405 not only supports the upper plate and the lower plate, but can also be used for diversion Water on the board. As shown in FIG. 4k, the number of smart containers 406 may be multiple.

The difference between the mobile shop shown in FIG. 4s and FIG. 4q is that FIG. 4s is open, and there are no shop door components 403 on both sides of the mobile shop 400.

The difference between the mobile shop shown in FIG. 4u and FIG. 4q is that the mobile shop shown in FIG. 4t is different from the mobile shop shown in FIG. 4q. In FIG. 4t, the door of the mobile shop 400 is a folding board 407. When the mobile shop 400 is open, the folding board 407 is opened. When the mobile shop 400 is closed, the folding board 407 is pulled down.

The difference between the mobile shop shown in FIG. 4u and FIG. 4q is that the mobile shop shown in FIG. 4u is different from the mobile shop shown in FIG. 4q. In FIG. 4u, the mobile store 400 is fully enclosed, and the mobile store 400 further includes a product placement area 408, which is used to place or store merchandise.

In the commodity placing area 408, it can be divided into several stock quantity units (Stock Keeping Unit, SKU), and each SKU is placed with various types of commodity. In addition, the product placement area 408 is also provided with multiple goods lanes, which connect each SKU in the product placement area 408, and the products of each SKU can fall from the upper product placement area 408 to the lower product through the corresponding goods lane Sales area. For example, after a user places an order to purchase a specific product in the lower-level merchandise sales area, the mobile store system sends an order instruction to the SKU where the specific product is placed in the upper-level product placement area 408, and the SKU sends the order according to the order instruction The specific commodity is taken out and transported to the lower commodity sales area through the goods lane, so that the user can pick up the specific commodity in the lower commodity sales area. The user's order settlement method includes the order settlement method described in the foregoing embodiments, and details are not described herein.

Compared with the conventional technology, the mobile shop 400 makes full use of the free area as a warehouse area, thereby saving the space occupied by the warehouse.

The difference between the mobile shop shown in FIG. 4v and FIG. 4u is that: FIG. 4v is semi-closed. In FIG. 4v, there is no shop door assembly 403 on one side of the mobile shop 400, and there are pillars between the upper and lower boards 405, wherein the column 405 not only supports the upper plate and the lower plate, but can also be used to divert the accumulated water of the upper plate. As shown in FIG. 4v, the number of smart containers 406 may be multiple.

The difference between the mobile shop shown in FIG. 4w and FIG. 4u is that FIG. 4w is open, and there are no shop door components 403 on both sides of the mobile shop 400.

By placing smart containers on mobile stores, managers can move smart containers to any suitable business area through the mobile store, flexibly adjust the sales location, maximize revenue, and provide great convenience for managers.

In each of the above-mentioned embodiments, after the user purchases goods on the smart container, the smart container may deduct payment for the purchased goods using various settlement methods, and the payment has been completed.

In some embodiments, the smart container can also be integrated with other business methods to form another business format. For example, the embodiment of the present application provides a social storefront, which is provided with a sales area and an outdoor leisure area. The sales area is used to sell goods, and the outdoor leisure area is used to provide leisure space for guests. Smart containers can be placed in the sales area, and some cooked food can also be sold.

The logistics storage system 15 is used for warehousing, transportation, and mobilization of commodities.

Referring to FIG. 5, the logistics storage system 15 includes a first scanning terminal 500, a logistics vehicle 501, a manufacturer warehouse 503, a second scanning terminal 504, and a merchant warehouse 505, and each scanning terminal communicates with the server 12.

In this embodiment, each commodity is pasted with a two-dimensional code 50a (or RFID tag), and the two-dimensional code 50a is associated with each commodity information. When the commodities are manufactured, the logistics vehicle 501 transports each commodities to the manufacturer's warehouse 503. When the manufacturer's warehouse 503 stores each commodities, the warehouse manager uses the first scanning terminal 500 to scan the two-dimensional code 50a of each commodities, the first scanning terminal 500 uploads the logistics information of the commodity in the manufacturer's warehouse 503 to the server 12 according to the two-dimensional code 50a of each commodity, and the server 12 records and updates the logistics information of the commodity. In this embodiment, the first scanning terminal 500 needs to be registered and authenticated in the server 12, for example, the warehouse manager of the manufacturer's warehouse uses the first scanning terminal 500 to register in the server 12, and the server 12 reports to the warehouse manager of the manufacturer's warehouse When the logistics management information is distributed, and subsequent warehouse management personnel use the first scanning terminal 500 to scan the commodities in the "warehousing mode", the server 12 can analyze the commodities currently in the warehouse logistics link of the manufacturer's warehouse 503 according to the logistics management information. When the warehouse manager uses the first scanning terminal 500 to scan the merchandise in the "outgoing warehouse mode", the server 12 can analyze the merchandise according to the logistics management information to find out that the merchandise is currently out of the manufacturer's warehouse 503.

When the logistics vehicle 501 transports the goods from the manufacturer warehouse 503 to the merchant warehouse 505. The warehouse manager of the merchant warehouse 505 uses the second scanning terminal 504 to scan the QR code 50a of each commodity, and the second scan terminal 504 uploads the logistics information of the commodity in the merchant warehouse 505 to the server 12 according to the QR code 50a of each commodity Then, the server 12 records and updates the logistics information of the product. In this embodiment, the second scanning terminal 504 needs to be registered and authenticated in the server 12, for example, the warehouse manager of the merchant warehouse 505 uses the second scanning terminal 504 to register in the server 12, and the server 12 requests the warehouse manager of the merchant warehouse 505 When the logistics management information is distributed, and subsequent warehouse management personnel use the second scanning terminal 504 to scan commodities in the "warehousing mode", the server 12 can analyze the commodities currently in the warehouse logistics link of the merchant warehouse 505 according to the logistics management information. When the warehouse manager uses the second scanning terminal 504 to scan the commodities in the "out warehouse mode", the server 12 can analyze the commodities according to the logistics management information to find out that the commodities are currently out of the warehouse 505 of the merchant.

When the merchant takes out the merchandise from the merchant warehouse 505 and places it in a smart store or smart container for sale, the user can use the mobile phone 506 to scan the QR code 50a of the merchandise, so the mobile phone 506 is adjusted to the anti-counterfeiting traceability page. The anti-counterfeiting traceability page includes the The information of each logistics link and the commodity information of the commodity. In addition, the market manager 507 can also scan the QR code 50a of the product to check the authenticity of the product.

In order to record the geographic location of the logistics vehicle, in some embodiments, the logistics vehicle is equipped with a positioning device, which is used to locate the geographic location of the logistics vehicle and send the geographic location of the logistics vehicle to the server. Therefore, managers can monitor the trajectory of logistics vehicles in an all-round way to ensure logistics safety.

In some embodiments, the logistics warehousing system 15 further includes a cargo scheduling system 506 that flexibly distributes goods to the merchant warehouse 505 according to the cargo storage conditions of the merchant warehouse 505. For example, referring to FIG. 5a, the cargo scheduling system 506 according to the merchant The geographical location of the warehouse and the commodity information of the out-of-stock products, choose the storage platform and the type of logistics vehicle, and assign the logistics vehicle to the selected storage platform to transport the goods. Among them, the types of logistics vehicles include riders, social vehicles and own vehicles. For example, the cargo scheduling system 506 selects a front warehouse from the N-level storage platform, which stores the commodities required by the merchant, and selects a social vehicle to go to the front warehouse to pick up and transport the goods.

The same product can be produced and stored in different places in different places and distributed on different retail ends. In order to facilitate the management and monitoring of the production, storage and sales of various merchants and various products, in some embodiments, the server can establish different business logic Layer to achieve comprehensive management and monitoring of various data of merchants and commodities.

Referring to FIG. 5b, the business logic layer constructed by the server includes a first-level management platform, a second-level management platform, a third-level management platform, and a fourth-level management platform, where the second-level management platform belongs to the first-level management platform Management, the first-level management platform has management authority, and the first-level data can be arbitrarily retrieved from the second-level management platform. The retrieved first-level data includes: merchant data, product production data, product sales data, and total sales data , Commodity sales unit price data, merchant business license, warehousing data, logistics and transportation data, etc. In addition, the first-level management platform can also issue various management instructions to the second-level management platform, for example, issue price adjustment instructions.

The second-level management platform stores various commodity data and planned commodity data uploaded by the lower-level management platform. The second-level management platform implements precise marketing based on various commodity data and planned commodity data. The second-level management platform has management authority. The second-level data can be arbitrarily retrieved from the third-level management platform. The retrieved second-level data includes : Merchant operating license, merchandise sales data, merchandise sales data, merchandise sales unit price data, etc.

The third-level management platform stores various commodity data, warehousing data, merchant business licenses, logistics transportation data, etc. uploaded by the lower-level management platform, among which the logistics transportation data includes logistics vehicle positioning data or real-time video logistics data. The third-level management platform has management authority, and the third-level data can be arbitrarily transferred from the fourth-level management platform.

The fourth-level management platform stores fourth-level data. The fourth-level data includes sales data of all kinds of commodities, total sales data of commodities, merchant business licenses, unit sales data of commodities, warehousing data, etc. The fourth-level management platform uploads various data to the third-level management platform.

In some embodiments, the number of the first-level management platform, the second-level management platform, the third-level management platform, and the fourth-level management platform may be multiple. The management platforms at the same level cannot directly access each other's data, and they can obtain the other party's data under the supervision of the upper-level management platform.

Through the above-mentioned methods, it can vertically manage each management platform, and obtain various types of data corresponding to the management platform through management authority, so as to achieve all-round monitoring, management, and precise sales.

As mentioned earlier, the traditional anti-counterfeiting traceability method is insufficiently promoted. For example, the lack of a promotion method that feeds consumers back and encourages consumers to purchase products with traceable source code has resulted in the failure of effective traceability of the traceable source code.

Based on this, embodiments of the present application provide an information processing method. Referring to FIG. 6, the information processing method S600 includes:

S61: Obtain the information processing request sent by the terminal. The information processing request includes the traceability source code of the target product and account information. The account information corresponds to product points, and products of different product types correspond to product points of different point types;

In this embodiment, the information processing request may be sent by the terminal scanning the source code of the target product; or, the information processing request may be sent by the terminal collecting the voice control instruction issued when the user purchases the target product by voice; or, the information processing request It is sent by the terminal image analysis of the target product. It can be understood that, according to the teaching content of this embodiment, those skilled in the art can flexibly adopt various information processing request methods.

In this embodiment, the traceability source code is set at the preset position of the target commodity. After the user uses the target commodity, the user can obtain the traceability source code. Therefore, the user can use the terminal to scan the traceability source code of the target commodity. For example, the source code traceability is set inside the bottle cap of mineral water. When the user opens the bottle cap of mineral water, the user can obtain the source code traceability. It is understandable that the location of the traceability source code will be adaptively set according to the type and shape of the commodity.

After the terminal scans the traceability source code, the terminal packages the traceability source code and account information of the target product in the information processing request, and sends the information processing request to the server. In this embodiment, a general user needs to register an account on the server. When scanning the source code, the user logs in to the account, where the login method includes downloading the APP and logging into the APP or public account.

Account information is used to identify the user's identity information. Under each user account, each account information corresponds to a points wallet, and commodity points are pre-stored under the point wallet. Among them, different types of products correspond to different types of product points .

Please refer to Table 3, which is a schematic table of various product points corresponding to account information provided by an embodiment of the present application. as shown in Table 3:

table 3

The account information corresponds to 5 types of points for product points. Among them, the type of the product is cigarettes, and the corresponding type of points is the general point type A0. The product points of the general point type are used to redeem any type of purchased goods, such as cigarettes The corresponding product points can be used to exchange for beer, beverages, milk powder, etc. The product points corresponding to cigarettes are 3000.

If the product type is alcoholic goods, the corresponding point type is directed point type A1. The directed point type product points are used to redeem the specified type of purchased goods. For example, under the premise of equivalent points, the product points corresponding to alcoholic goods It can only be exchanged for alcoholic goods, for example, 300 alcoholic goods points correspond to beer with a price of 8 yuan. If the user really needs to exchange the product points corresponding to alcohol products for other types of products across the commodity field, for example, to exchange the product points corresponding to alcohol products for cigarettes, then the same 8 yuan cigarettes, which requires 500 alcohol Product points can only be redeemed. As shown in Table 3, the product points corresponding to alcoholic products are 2000.

If the product type is milk powder, the corresponding point type is directional point type A2, and the product point corresponding to milk powder is 2500.

If the product type is beverage, the corresponding point type is directional point type A3, and the product point corresponding to drink is 1500.

If the product type is clothing, the corresponding point type is directed point type A4, and the product point corresponding to clothes is 600.

After receiving the information processing request, first, the server determines the generated code according to the source code. Second, the server determines that the product corresponding to the generated code is the target product. Generally, the administrator establishes a mapping relationship between the source code, the generated code and the product in advance. Among them, the source code includes a two-dimensional code, RFID tag code, verification code, barcode, and other arbitrary codes. The generated code consists of several characters, each Both the source code and the generated code are unique.

Referring to FIG. 6a, when the server cannot determine the generated code based on the source code traceback, the server returns an “illegal QR code page” to the terminal, so that the user can verify the authenticity of the target product.

Please refer to FIG. 6b. After purchasing the cigarette, the user scrapes the anti-counterfeiting coating to obtain the verification code, and enters the verification code as the traceable source code into the verification area. Then, the terminal sends an information processing request to the server, and the server traverses the database according to the verification code. There is a generation code corresponding to the verification code, and if it exists, it returns “purchased goods are genuine” to the terminal, and if it does not exist, it returns “purchased goods are fake” to the terminal.

After the server determines the target product, the server returns an anti-counterfeiting traceability page to the terminal. The anti-counterfeit traceability page includes the product information and logistics information of the target product. In this embodiment, the "target" in the "target product" is used to distinguish the non-target products mentioned below, and is not used to limit the protection scope of the product. The target product is the product scanned by the user using the terminal, and the non-target product is the user For products not scanned by the terminal, in some cases, "non-target products" can be converted into "target products".

In order to prevent the user from maliciously scanning the traceability source code of each product in the store and maliciously triggering the server to carry out product points for the user, in some embodiments, the server adjusts the product point corresponding to the account information according to the number of queries of the traceability source code In the process, it can determine the sale status of the target commodity, and the sale status includes the purchased status and the unpurchased status.

Again, the server judges whether the sale status of the target product is the purchased status or the non-purchased status. If the sales status of the target product is the purchased state, the server adjusts the product points corresponding to the account information according to the number of times the source code is queried. If the sales status of the target product is an unpurchased state, the server does not adjust the product points corresponding to the account information. Therefore, only after purchasing the target product, the user can enjoy the right to return the points, which can prevent the user from maliciously entering the store, use the mobile phone to scan the source code of each product one by one, and maliciously trigger the server to carry out product points for the user. Therefore, in this way, it can improve the safety of points.

S62. Adjust the product points corresponding to the account information according to the query times of the traceability source code;

As mentioned above, when the terminal accesses the server based on the source code traceback, the server records the number of queries the terminal has access to the source code tracer. For example, user A uses the terminal to scan the source code trace of the commodity S1 at 14:20:31 on October 12, 2018. And, the server records "commodity S1-the number of inquiries 1". User A then uses the terminal to scan the traceability source code of commodity S1 at 14:30:30 on October 12, 2018, and the server records "commodity S1-query times 2". User B uses the terminal to scan the traceability source code of the commodity S1 at 06:30:30 on October 14, 2018, and the server records "commodity S1-the number of inquiries 3". Therefore, the total number of inquiries for the product S1 is 3 times.

In this embodiment, when the number of times for tracing the source code exceeds 1, the server keeps the product points corresponding to the account information unchanged. When the number of times for tracing the source code is one, the server increases the product points corresponding to the account information.

Referring to FIG. 6c, when the target product A is queried for the first time, the server returns an anti-counterfeiting query page to the terminal. The anti-counterfeiting query page includes product information, query times, and point rewards.

Referring to FIG. 6d, when the target product A is queried for the second time, the server returns an anti-counterfeiting query page to the terminal. The anti-counterfeiting query page includes product information and query times.

As can be seen from Figure 6c and Figure 6d, when the target product A is queried for the first time, the server adds 20 points to the account information. This action can feed back the consumer and encourage consumers to purchase products with traceable source code, which is conducive to the popularization of traceable source code . When the target product A was queried for the second time, because of preventing malicious points by the user, the second and subsequent scans did not receive point rewards.

In this embodiment, the adjusted product points may be product points corresponding to the point type of the target product, or may be product points corresponding to any point type.

S63. Generate network currency corresponding to the purchased product according to the type of product points.

In this embodiment, the network currency is used as "hard currency" in the information processing system, and it can be used to purchase any type of commodity without redemption. The value of the network currency and the value of the product points meet the preset exchange conditions, for example, 1 network currency = 1 product point, or, 1 network currency = P product points, where the value of P is determined by the manager Business requirements are self-defined, for example, P can be 10 or 0.1.

Since product points have a point type, different product points cannot be directly replaced equivalently. In order to improve the versatility of product points, the server generates the network currency corresponding to the purchased product according to the type of product points. For example, the user has 1000 product points J1, 2000 product points J2, 3000 product points J3, and 4000 product points J4. The user needs to purchase the product A with a price of 100. If the network currency is used to purchase the product A, it needs 100 network currencies. However, 1 network currency = 5 product points J1 = 4 product points J2 = 10 product points J3 = 20 product points J4, so the server can be based on product points J1 or product points J2 or product points J3 or product points J4, the network money 100 corresponding to the commodity A is sequentially generated.

During the point payment process, the user can generate a point payment page on the APP page. Please refer to FIG. 6e. The point payment page 700 includes a payment bar code area 71, a two-dimensional code area 72 and a consumption point area 73, of which the payment bar code area 71 is used In order to instruct the merchant terminal to generate network currency corresponding to the purchased goods, the two-dimensional code area 72 is associated with the user's account information, and the consumption points area 73 includes multiple types of product points. When the user selects a specific product point to pay for the currently purchased product, Based on the payment barcode area 71, the merchant terminal converts the selected payment points into a network currency to pay for the purchased goods. Therefore, in this way, users can quickly and easily use points to exchange goods.

Please refer to FIG. 6f. When the payment is successful, the server returns a payment success page 74 to the terminal APP. The payment success page 74 displays the amount of deduction, items of deduction, payment method, and payment time.

Overall, this embodiment can also generate network currency according to the point type of the product points, which can be used to purchase any type of product, so it can improve the versatility of points.

In order to accurately promote the anti-counterfeiting traceability method of the target product and increase the usage rate of the anti-counterfeiting traceability method of the target product, in some embodiments, please refer to FIG. 7, and S62 includes:

S621. Determine the number of queries for tracing the source code;

S622. Adjust the product points corresponding to the point type of the target product in the account information according to the number of times the source code is queried.

As mentioned above, when the user scans the source code using the terminal, the server accumulates the number of times the source code is queried each time, and establishes the mapping relationship of "source code-generating code-commodity-query times". The server queries the mapping relationship You can determine the number of queries to trace the source code.

Again, the server determines the type of points corresponding to the target product. For example, if the target product is a tobacco product, then the server adjusts the product points corresponding to the tobacco product shown in Table 1 according to the number of queries of the source code. If the target product is a beverage product, the server adjusts the product points corresponding to the beverage product shown in Table 1 according to the number of times of source code query. In this way, the server purchases any commodities with traceable source code, and the server adjusts the purchased commodities adaptively, thereby increasing the usage rate of the anti-counterfeiting traceability method of the target commodities.

In the process of adjusting product points, they all need to promote users to consume products with traceable source code. Therefore, in some embodiments, referring to 7a, S622 includes:

S6221: Determine whether the traceable source code is searched for the first time;

S6222. If yes, increase the product points corresponding to the point type of the target product in the account information according to the preset point increment;

S6223. If not, keep the product points corresponding to the point type of the target product in the account information unchanged.

In this embodiment, after the target product is purchased, in order to increase the points, the general user scans the traceability source code using a terminal, that is, the scan at this time is the first query of the traceability source code. When the server determines that the traceability source code is being queried for the first time, the server increases the product points corresponding to the target product's point type according to the preset point increment, where the preset point increment is associated with the target product, different product types and different prices The target product has different preset credit increments. For example, the target product is 15 yuan cigarette and 80 yuan cigarette. The preset credit increment corresponding to 15 yuan cigarette is 10 product credits, and the preset credit corresponding to 80 yuan cigarettes. The increment is 50 product points.

The user can consume the points after each adjustment. In some embodiments, referring to FIG. 7b, S63 includes:

S631. Obtain consumption points selected by the user for redemption of purchased goods;

S632. According to the point type of the consumption points and the point type of the purchased goods, generate the network currency corresponding to the purchased goods.

Referring again to FIG. 6f, the user selects consumption points corresponding to the type of points in the consumption point area 73. When the point type of the consumption points is different from the point type of the purchased goods, the server converts the consumption points into the network currency used to settle the purchased goods. When the point type of consumption points is the same as the point type of purchased goods, the server directly settles the consumption points for the purchased goods.

Therefore, in this way, it can improve the versatility of points.

In some embodiments, the consumption points can be calculated by the following formula: P=K*(S-Q), P is the consumption points, K is the integration coefficient, S is the selling price of the goods, and Q is the ex-factory price. Among them, the integral coefficient K can be defined by the user.

For example, K=5/11, the purchase product is canned milk powder, the price of one can of milk powder is 106 yuan, the ex-factory price is 40 yuan, and the cost is 15 yuan. If one can of milk powder is sold, the merchant earns 66 yuan. After querying the source code for the first time, the user returns 30 milk powder points to the user account. An infant needs 4 cans of milk powder every month, and after one year, 1440 milk powder points can be returned to the user.

As mentioned above, the integral types include general integral type and directed integral type. When generating network currency, please refer to Figure 7c, S632 includes:

S6321: Determine whether the point type of consumption points is a general point type, or whether the point type of consumption points is the same as the point type of purchased goods;

S6322. If yes, generate network currency corresponding to the purchased product according to the first point consumption rule;

S6323. If not, generate network currency corresponding to the purchased commodity according to the second point consumption rule, where the first point consumption rule is different from the second point consumption rule.

In some embodiments, the first point consumption rule includes: converting commodity points of a general point type into network currency according to a first preset scale factor. The second point consumption rule includes: converting commodity points of the directional point type into commodity points of the general point type according to the second preset proportional coefficient. Wherein, the first preset proportional coefficient or the second preset proportional coefficient is defined by the manager according to business requirements.

For example, please refer to Table 1 again, 1 general integration = 5 orientation integration A1 = 6 orientation integration A2 = 10 orientation integration A3 = 20 orientation integration A4. The network currency corresponding to the price of the purchased goods is 50, and 1 network currency = 5 general points.

When the point type of purchased goods is directed point type A1 and the user selects the point type of consumption points as general point type A0, the server generates network currency corresponding to the purchased goods according to the point consumption rules, for example, 50 network currencies=250 There are 250 general points, 250 general points = 1250 directional points A1. Therefore, the server needs to deduct 250 general points from the account information, or deduct 1250 directional points A1 from the account information.

When the point type of purchased goods is directed point type A1, the user selects the point type of consumption points as directed point type A1, therefore, the server generates network currency corresponding to the purchased goods according to the point consumption rules, for example, 50 network currencies = 250 General points, 250 general points = 1250 directional points A1, therefore, the server needs to deduct 250 general points from the account information, or deduct 1250 directional points A1 from the account information.

For another example, the purchase product is canned milk powder, the price of one can of milk powder is 106 yuan, the ex-factory price is 40 yuan, and the cost is 15 yuan. If one can of milk powder is sold, the merchant earns 66 yuan. After tracing the source code, 30 milk powder points will be returned to the user account. An infant needs 4 cans of milk powder every month, and after one year, 1440 milk powder points can be returned to the user. When a user exchanges the 1440 milk powder points for beer, 1 bottle of beer corresponds to 30 beer points. Since it is a multi-directional exchange point, 1 bottle of beer points = 1 online currency, 1 network currency = 10 milk powder points, so When redeeming 1 bottle of beer, it needs 300 milk powder points.

In order to encourage users to actively share product links and promote product sales, in some embodiments, users may share product links to other users. For example, user A shares product link S1 with user B, so user B clicks and accesses the product link S1, and sends a webpage request to the server, where the webpage request carries at least one user A's account information.

The server detects that user B accesses the product link S1, so the server returns the preset reward points to user A's account information according to the webpage request, where the preset reward points are customized by the user, for example, the preset reward points are 10 points.

Then, when user B shares the product link S1 with user C, user C clicks and accesses the product link S1, and sends a webpage request to the server, where the webpage request can carry the account information of user B or user A The account information can even carry user A's account information and user B's account information.

The server detects that user C accesses the merchandise link S1, so the server returns the preset reward points to user B's account information and/or user A's account information according to the webpage request.

The point reward method can be implemented according to the above embodiment, and so on, so as to achieve product fission. The use of this integral fission method to promote commodities can promote the marketing of commodities by feeding back points to users.

In each of the above embodiments, in addition to the mutual exchange of commodity points involving all commodities in the information processing system and the generation of network currency, it can build the information processing system provided by this embodiment with the information processing systems of other merchants Connected, the points obtained by the user in the information processing system provided in this embodiment can be consumed in the information processing system of other merchants. Conversely, the points obtained by the user in the information processing system of other merchants can also be conducted in the information processing system provided in this embodiment consumption.

Based on this, this embodiment provides a product credit method.

Blockchain technology, also known as distributed ledger technology, is a distributed Internet database technology. A network built on the basis of blockchain technology can be called a blockchain network. The blockchain network contains multiple blockchain nodes, each node corresponds to at least one blockchain, and each blockchain contains at least one block . Blockchain technology has the characteristics of decentralization, openness and transparency, non-tampering, and trust. Therefore, the application of blockchain technology is becoming more and more extensive.

Please refer to FIG. 7d, which is a schematic diagram of an architectural model of a blockchain network provided by an embodiment of the present application. As shown in FIG. 7d, the blockchain network 800 includes a data layer 81, a network layer 82, a consensus layer 83, and a smart contract layer 84.

The data layer 81 encapsulates the underlying data blocks and related basic data and basic algorithms such as data encryption and time stamping. The network layer 82 includes a distributed networking mechanism, a data propagation mechanism, a data verification mechanism, and so on. The consensus layer 83 encapsulates various consensus algorithms of network nodes. The smart contract layer 84 encapsulates various scripts, algorithms and smart contracts.

The merchandise credit method according to the embodiment of the present application can be executed in any suitable type of blockchain node with computing capabilities, such as servers, desktop computers, smart phones, tablet computers, and other electronic products. The server here may be a physical server or a logical server virtualized by multiple physical servers. The server may also be a server group composed of multiple servers that can communicate with each other, and each functional module may be distributed on each server in the server group.

The blockchain provided by the embodiments of the present application includes, for example, a public blockchain (Public Blocks), a joint blockchain (Consortium Blocks Chains) and a private blockchain (Private Blocks Chains).

Please refer to FIG. 7e, which is a schematic structural diagram of a blockchain system provided by an embodiment of the present application. As shown in FIG. 7e, the blockchain system 80 includes an ordinary node 801, an agent node 802, and a consensus node 803.

The common node 801 is communicatively connected to the proxy node 802, and the proxy node 802 is also communicatively connected to the consensus node 803. Among them, the communication between each blockchain node supports point-to-point communication (Point to point communication, P2P).

The ordinary node 801 is the server 12 in the information processing system shown in FIG. 1, wherein the ordinary node 801 may be a server of an information processing system that is responsible for different merchants. Correspondingly, each merchant can add a server to the blockchain according to his own needs.

The ordinary node 801 holds electronic currency in circulation and has the right to vote in the blockchain system. Ordinary node 801 can carry out related transaction operations, but without the packing and accounting rights of the block, the block data can only be recorded synchronously from the relevant nodes that have the packing and accounting rights.

The agent node 802 writes the smart contract code. The ordinary node 801 sends the original block data to the agent node 802 to trigger the agent node 802's smart contract, so that the agent node's smart contract executes the original block data. The original block data includes each account number Product points corresponding to the information. Among them, the common node 801 maintains a smart contract list, and the smart contract list records a list of various agent nodes that can execute the smart contract. Whenever the ordinary node 801 receives the original data of the block, the ordinary node 801 retrieves the smart contract list, finds the address of each agent node from the smart contract list, and sends the original block data to each agent node.

In this embodiment, the agent node 802 may pre-store various types of smart contracts, and it may parse out the execution type of the smart contract according to the trigger request sent by the ordinary node 801. The agent node 802 then executes the corresponding smart contract according to the parsed execution type of the smart contract.

When a certain proxy node is in trouble, the rest of the proxy nodes broadcast the address of a certain proxy node to the whole network, the ordinary node 801 detects the broadcast information, and updates the smart contract list, and then sends the original data of the block, the ordinary node 801 does not send data to the certain proxy node 802 to improve work efficiency.

The code of the smart contract is written according to the logic of the business scenario. For example, in a smart store, the smart contract can be used to record user credit.

After executing the original data of the block according to the smart contract, the proxy node 802 outputs the block data to be verified. Next, the proxy node 802 also signs the block data to be verified, and sends the signed block data to the consensus node 803. The consensus node 803 uses the public key of the proxy node 802 to verify the signed block data. If the verification is successful, the signed block data is considered to be sent by the legitimate proxy node 802, and then the block data is subjected to consensus processing. If the verification is not successful, it is considered that the signed block data is sent by the illegal proxy node 802. For example, the proxy node 802 uses its own private key to perform a signature operation on the hash content of the current block to obtain the signature.

The consensus node 803 is used for the block data uploaded by the consensus verification agent node 802. Among them, the consensus node 803 can support any of the following consensus algorithms: Proof of Work (PoW), Proof of Stake (POS), Proof of Stake (Delegate Proof of Stake, DPoS), practical Byzantine fault tolerance (practical Byzantine Fault Tolerance, PBFT), authorized Byzantine fault tolerance (Delegated Byzantine Fault Tolerance, DBFT), etc.

Each consensus node 803 needs to be registered with the proxy node 802. After the registration is successful, the consensus node is a legal consensus node. The registration process is as follows:

1. The consensus node 803 submits registration information to the proxy node 802.

Among them, the registration information includes one or more of the following information: the device serial number SN of the consensus node 803, user information, and miner wallet address.

2. The agent node 802 checks the registration information.

The inspection process includes: detecting whether the SN number format is correct, whether the SN is stored in the database, whether the SN has been bound to other users, and so on.

3. The agent node 802 records the registration information.

4. The proxy node 802 returns the registration result to the consensus node 803.

5. The proxy node 802 broadcasts the new registration data to the blockchain system 80.

In the above-mentioned blockchain system 80, a block is a carrier for storing transaction summary information. Each block includes a block header and a block body. The information recorded in the block header is used to identify the block itself and the previous block. Summary of information and the location of the block in the entire ledger. The block body is used to store transaction summary information and verify transaction information and to keep the transaction from being tampered with.

The block chain connects each block one by one according to the order of generation time, forming a chain data storage structure. In the entire blockchain, the first block is called the genesis block, and its block height is 0, and the block height of each subsequent block is increased by 1, and the previous area is written in the block header The hash value of the block header. Each block on the blockchain is linked by the hash value of the previous block header on each block.

Therefore, the blockchain cannot be tampered with. Based on this, an embodiment of the present application provides a method for commodities points.

Please refer to FIG. 7f. FIG. 7f is a schematic flowchart of a method for providing a commodity credit according to an embodiment of the present application. As shown in FIG. 7f, the commodity credit method S80 includes:

S81. Obtain a point storage request;

In this embodiment, the point storage request carries point information, and the point information includes the user's account information, the amount of each consumption, and the point validity period. The ordinary node encapsulates the user's account information, the amount of each consumption, and the point validity period in the point storage request, and sends the point storage request to the agent node. Then, the agent node receives the point storage request carrying the point information, such as goods The valid period of points corresponding to A is from January 1, 2018 to December 31, 2018. The price of product A is 100 yuan. When the user purchases product A, the consumption amount is 100 yuan.

In this embodiment, the user's account information is unique in the blockchain, and any two users' identity information is different.

The consumption amount is the price the user spends to purchase the product, for example, the price of the product B is 50 yuan, the consumption amount is 50 yuan, and so on.

The point validity period is the period during which the user can exchange points for other items. The validity period of points for each product can be the same or different.

In some embodiments, the ordinary node may forward the point storage request to each agent node according to the agent node list.

S82. According to the point storage request, execute a smart contract to calculate the point value corresponding to the user's identity information;

In this embodiment, the point storage request carries a storage identifier, and the agent node parses out the storage identifier from the point storage request, and retrieves a smart contract corresponding to the storage identifier to execute the smart contract. Among them, the contract content of the smart contract includes: C=P*M, C is the integral value, P is the proportionality coefficient, and M is the consumption amount. The scale factor P is defined by the designer. Therefore, after executing the contract content of the smart contract, the agent node can calculate the point value corresponding to the user's identity information.

For example, assuming that P is 10%, the user purchases goods A and consumes 100 yuan. Therefore, according to the above formula, the point value C is 10 points.

For another example, assuming that P is 10%, and the user purchases commodity B and consumes 50 yuan, then, according to the above formula, the point value C is 5 points.

S83. Pack several pieces of point information that belong to the user's identity information with the same point validity period and the point value corresponding to the point information into block data;

In order to improve the calculation efficiency of subsequent point consumption, it is necessary to aggregate the same point information and point value during the point validity period. In general, the validity period of the points issued by different merchants is different. If consumers cross-use the points of different points issued by different merchants, for example, the consumer has a point validity period at merchant S1 as "January 1, 2018 to 2018 The points of June 31, 2014 have points at the merchant S2 with a period of validity of "July 1, 2018 to December 31, 2018". If the consumer has earned the points of the merchant S2 at the merchant S1 Since the points validity period of the merchant S1 and the merchant S2 are different, this is unfair to the merchant S1.

Therefore, in order to be fair, the proxy node needs to package a number of point information belonging to the user's identity information with the same point validity period and the point value corresponding to the point information into block data. Specifically, the proxy node judges whether there is a subset relationship between the two points of the validity period of any two points information, for example, for points with a validity period of points from "January 1, 2018 to June 31, 2018," And, the validity period of the points is the points from "July 1, 2018 to December 31, 2018". For these two points, there is no subset relationship between them. As another example, for points with a period of validity of points from "January 1, 2018 to June 31, 2018", and points with a period of validity of points from "March 1, 2018 to December 31, 2018", In terms of the two, they have a subset relationship, and the same set is "March 1, 2018 to June 31, 2018."

Secondly, if it is, the agent node packs all two point information that meets the judgment condition and belongs to the user's identity information and the point value corresponding to the point information into block data; if not, the agent node will not meet the judgment condition and belong to the user's identity information The credit information and the credit value corresponding to the credit information are packaged into block data.

S84. Send the block data to the consensus node, so that the consensus node verifies the block data.

When the proxy node sends the block data to the consensus node, the proxy node uses its own private key to sign the block data to obtain the block signature, and the public key corresponding to the private key is broadcast to the blockchain system. Secondly, the proxy node encapsulates the block signature and block data and sends it to the consensus node. When the consensus node verifies the signed block data, the consensus node uses the legal public key of the proxy node to verify the block signature. If the block signature is legal , It is considered that the block data is sent by the legal agent node. If the block signature is illegal, the block data is considered to be sent by an illegal proxy node. Therefore, this method can improve the security of block data.

When the consensus node verifies that the block data is sent by a legal proxy node, each consensus node uses the Proof of Stake (POS) or Delegated Proof of Stake (DPOS) algorithm to verify the block data. When the block data is verified, the consensus node completes the other block information. The other block information includes block signatures, time stamps, etc., the block data is packaged, and the entire network is broadcast.

When the consensus node verifies that the block data is sent by an illegal proxy node, the block data is discarded.

Due to the characteristics of non-tampering, decentralization and high transparency, the block chain can provide reliable user credit.

In some embodiments, the commodity credit method is applied to the alliance chain. When the share authorization certification algorithm is adopted as the consensus mechanism, the share proportion of the share authorization certification algorithm is allocated according to the size of each operator's smart store. For example, each blockchain node of the consortium chain is a server set up by various operators of the smart store. The scale of the smart store includes the total area of the smart store or the number of registered users. Among them, the smart store of operator A is the largest, accounting for 10%, operator B is 6%, operator C is 3%..., and so on.

Some consensus nodes are in trouble or evil (not signing and verifying new blockchain data). In order to ensure that the blockchain system can produce blocks normally, the remaining consensus nodes can update the view to stop the failure or evil consensus node's consensus rights. Therefore, in some embodiments, during the process of consensus verification of block data by consensus nodes, when the number of detected consensus verification failures is greater than a preset threshold, the consensus server group composed of consensus nodes determines the malicious consensus node, and the malicious consensus node is not The node that signed the verification block data and caused the most consensus verification failures. The consensus server group composed of consensus nodes prohibits malicious consensus nodes from participating in consensus verification, and redistributes shares and consensus verifies block data among the remaining consensus nodes. For example, consensus node A, which accounts for 10% of the nodes, commits evil, so first, the consensus server group Stop the voting rights of consensus node A. Secondly, the consensus server allocates 10% of consensus node A to the remaining consensus nodes according to the preset rules, for example, to the remaining consensus nodes, or according to the working age of the consensus nodes. For the remaining nodes, the longer the working age, the higher the proportion of allocation, and the shorter the working age, the lower the proportion of allocation.

Thirdly, when the number of consensus verification failures detected by the consensus server group is less than the preset threshold, the consensus verification block data is continued.

In this way, it ensures that the blockchain system can produce blocks smoothly.

In summary, on the one hand, since the blockchain is tamper-proof, decentralized, and highly transparent, it can provide reliable credit information. On the other hand, it uses a unified rule to calculate the point value, which means that points between different merchants can be exchanged on a peer-to-peer basis, thereby improving the versatility of points and expanding the use of points.

In some embodiments, since each point has an effective period and an invalid period, when the point is in the effective period, the user can consume the point. When the points are in the invalid period, the user has no right to consume the points. Therefore, in order to better manage the validity or invalidity of points, in some embodiments, the proxy node judges whether the points in each block data are valid according to the period in which the points are valid in each block data; The point status in each block data is valid; if it is invalid, the point status in each block data is set to be invalid, and the point invalid information of each block data is broadcast throughout the network.

When a user consumes points, the point system sends a point consumption request to an ordinary node, the point consumption request includes the point consumption value and user identity information. Therefore, the ordinary node forwards the point consumption request to the agent node, and the agent node obtains the point consumption request. Generally, the point consumption request also carries a consumption identifier, and the agent node parses out the consumption identifier from the point consumption request, and obtains a smart contract corresponding to the consumption identifier, and executes the smart contract to obtain the user status information and the point status is valid. All the block data of, select the data of each block with the same valid period of points from all the block data, calculate the integration value of the data of each block with the same valid period of points, and calculate the data of each block with the same valid period of points according to the statistics The points value and points consumption value, consumption points.

In some embodiments, when consuming points, the proxy node judges whether the integral value of each block data with the same statistical validity period is greater than the integral consumption value; if it is greater, the consumption point has the same integral data value of each block data; If it is less, it prompts the user to fail to consume points.

In general, on the one hand, the blockchain can provide reliable points information because it has the characteristics of non-tampering, decentralization and high transparency. On the other hand, it uses a unified rule to calculate the point value, which means that points between different merchants can be exchanged on a peer-to-peer basis, thereby improving the versatility of points and expanding the use of points.

In the above embodiments, in order to facilitate users to query the logistics link of commodities anytime and anywhere, so as to better promote anti-counterfeiting traceability, please refer to FIG. 7g, the information processing method S600 further includes:

S64. Record the invoicing information of different logistics links of the target commodity.

In this embodiment, the invoicing information includes merchandise inbound information, outbound information, and so on.

The entry and exit information can be entered in any suitable way, for example, the merchant uses a scanning device to scan the QR code, RFID, barcode, etc. of the commodity to enter the entry and exit information, or the merchant voice broadcasts the entry and exit inventory of a specific product Information, or the image analyzes a specific product and enters the inventory information of the specific product.

After a product is manufactured into a finished product, the product needs to go through: the manufacturer's storage management-the first-level sales merchant storage management-the second-level sales merchant storage management... the n-th sales merchant storage management-consumer. Therefore, in order to prevent the goods from being dropped and counterfeited, the server needs to record the purchase and sale information of the different logistics links of the target goods.

In this embodiment, the scanning device used by each level of sales merchants needs to download the specified application APP, and register the authentication with the server (manufacturer's server) through the application APP. When the registration is successful, the server is for each level of sales merchants The scanning device is assigned a registered account, and each application APP has at least two scanning modes, one is the warehouse scanning, and the other is the warehouse scanning. When each level of sales merchant uses a scanning device to scan the source code pasted on the product in different scanning modes, the scanning device uploads the scanning logo of the scanning mode to the server, and the server records the scanning logo (into or out of the warehouse), the scanning time is For the commodities corresponding to the traceability source code, subsequently, the server records the warehouse entry or exit information and the scanning time on the anti-counterfeiting traceability page. For example, when entering the warehouse, the first-level sales merchant uses the scanning device to scan the goods, so the scanning device uploads the scanning logo of "entering" and the product information to the server.

In this way, it can completely record the invoicing information of different logistics links of the target product, so that subsequent users can know the invoicing information of all logistics links when viewing anti-counterfeiting traceability information.

In order to ensure the security of the commodities for logistics, in some embodiments, it can also enter the geographic location information of the commodities during logistics. Referring to FIG. 7h, the information processing method S600 further includes:

S65. Record the geographic location information of the target product under different logistics links.

In this embodiment, the logistics vehicle is equipped with a positioning device. The positioning device reports the geographic location information of the logistics vehicle to the server, and the server records the geographic location information of the target product under different logistics links. Among them, the positioning device supports any of the following positioning systems: Beidou Satellite Navigation System (BDS), Galileo Satellite Navigation System (GALILEO), GLONASS and GPS.

According to national laws, restrictive commodities such as commodity commodities or alcohol commodities are not allowed to be sold to minors. Therefore, when selling commodity alcohol commodities, traditional technologies need to verify the user’s identity information every time, and the operation is cumbersome . Especially for smart shops or smart containers that adopt an unattended business model, on the one hand, if restrictive goods are not strictly sold, they can be easily sold to minors. On the other hand, if it is strictly sold, it will lead to an increase in the cost of employment and a reduction in the experience of unsold sales.

Based on this, in some embodiments, referring to FIG. 7i, the information processing method S600 further includes:

S66. Receive commodity purchase instructions;

S67. According to the commodity purchase instruction, settle the purchased commodity.

In some embodiments, the merchandise purchase instruction is used to purchase merchandise. The user can trigger the merchandise purchase instruction in the smart store, can also trigger the merchandise purchase instruction in the smart container, and can also remotely send the merchandise purchase instruction to the smart store or smart container through the Internet .

There are many triggering forms for commodity purchase instructions. For example, the commodity purchase instruction is sent by scanning the QR code of the purchased commodity; or, the commodity purchase instruction is selected by selecting the purchased commodity on the commodity details page. Sent; or, the commodity purchase instruction is sent by the infrared scanning device scanning the identification code of the purchased commodity; or, the commodity purchase instruction is sent by the RFID scanning device scanning the RFID tag of the purchased commodity Or, the merchandise purchase instruction is sent by collecting the user's voice to purchase the merchandise; or, the merchandise purchase instruction is determined by using visual recognition to determine the user's purchase behavior of the purchased merchandise or the visual image removed from the merchandise matches the preset purchase Models are sent from time to time.

It can be understood that, those skilled in the art can replace or improve the manner in which the merchandise purchase instructions mentioned herein are generated according to the description herein.

In some embodiments, the way to settle the purchased goods includes multiple settlement methods.

For example, the amount of goods purchased is deducted from the payment channel selected by the user.

Or, receive the biometric information input by the user, determine whether the biometric information input by the user matches the preset biometric information, if it matches, deduct the amount of the purchased commodity from the payment channel selected by the user, and if not match, pause Settlement.

Alternatively, a third-party payment page is started, the user enters payment information on the third-party payment page, receives payment success information sent by the third-party payment system according to the payment information, and settles the purchase based on the payment success information commodity.

Or, obtain the user's face image, determine whether the user's face image matches the preset face image, if it matches, deduct the amount of the purchased product from the payment channel selected by the user, and if not match, pause Settlement.

Or, obtain the user's mobile phone number and face image, determine whether the user's mobile phone number matches the preset mobile phone number, if the user's mobile phone number matches the preset mobile phone number, determine whether the user's face image matches the preset person Face image, if the user’s face image matches the preset face image, the amount of the purchased commodity is deducted from the payment channel selected by the user, and if the user’s face image does not match the preset face image, settlement is suspended, If the mobile phone number of the user does not match the preset mobile phone number, settlement is suspended.

Or, obtain the user's payment code, and settle the purchased commodity according to the user's payment code.

Or, obtain the user's identity information, determine the credit score corresponding to the user according to the user's identity information, and settle the purchased merchandise based on the user's credit score. For example, it is determined whether the user's credit score is greater than a preset credit score, and if it is greater, the user is allowed to leave the store with the purchased product without paying, and from the account information corresponding to the user's identity information The amount of the purchased goods will be deducted later; if it is less, the settlement will be suspended.

Alternatively, the user's mobile phone number is obtained, and the purchased goods are settled according to the user's mobile phone number. For example, it is determined whether the user's mobile phone number matches the preset mobile phone number, and if it matches, the amount of the purchased commodity is deducted from the account information corresponding to the user's mobile phone number; if it does not match, settlement is suspended.

In some embodiments, the commodity purchase instruction includes a restricted commodity purchase instruction. Referring to Figure 7j, S67 includes:

S671. Determine whether the commodity purchase instruction is a restricted commodity purchase instruction;

S672. If yes, settle the purchased goods according to the preset purchase logic;

S673. If not, settle the purchased goods.

The commodity purchase instruction carries the commodity information of the purchased commodity. The server judges whether the purchased commodity is a restricted commodity based on the commodity information of the purchased commodity. If it does, the server needs to verify the user's age. The commodity. If it does not belong, the server can open the user to purchase the product without verifying the user's age. In some embodiments, restricted commodities include tobacco commodities or alcohol commodities.

When the purchased product is a restricted product, the product purchase instruction is a restricted product purchase instruction. The restricted product purchase instruction is used to instruct the server to settle the purchased product according to the preset purchase logic. For example, the purchased product is a tobacco product. According to the preset purchase logic, the server needs to verify the user's age. Therefore, the server activates the camera to photograph the user's face to verify the user's age.

When the purchased product is a non-restricted product, the server does not need to verify the user's age and directly settles the amount of the purchased product.

In some embodiments, referring to FIG. 7k, S672 includes:

S6721: Acquire the user's face image according to the restricted commodity purchase instruction;

S6722. According to the user's face image, determine whether the user places an order for the first time to purchase a restricted product;

S6723. According to the judgment result, process the restricted commodity transaction.

The server uses an image analysis algorithm to analyze the user's face image to determine whether the database pre-stores a preset face image that matches the user's face image. If pre-stored, the server determines that the user belongs to a non-first order to purchase restricted goods. If it is not pre-stored, the server determines that the user belongs to the first order to purchase restricted goods. Therefore, the server can process the restricted commodity transaction based on the judgment result.

Therefore, in this way, it can realize the sale of restricted commodities based on whether the user places an order for the first time to purchase goods, avoid the cumbersome operation that the user needs to enter identification information each time he purchases, and avoid minors posing as adults and carrying Adult ID cards buy cigarettes, resulting in the situation that restricted goods are easily sold to minors.

As mentioned earlier, restricted goods are age-restricted. For example, it is not allowed to sell cigarettes to minors under 18 years of age. Therefore, when purchasing restricted products, merchants need to verify the user's age before allowing the sale. Generally, users need to provide ID cards to merchants, and merchants can verify the age of users by verifying the age of ID cards. However, many users often forget to carry their ID cards when buying cigarettes.

Based on this, in some embodiments, referring to FIG. 7l, S6723 includes:

S691. If the user places an order to purchase a restricted product for the first time, the user's age is estimated based on the user's face image, and the restricted product transaction is processed based on the estimated user's age;

S692. If the user does not place an order to purchase restricted goods for the first time, sell the restricted goods to the user.

In this embodiment, when the user places an order to purchase a restricted product for the first time, but the user forgets to carry the ID card, the server analyzes the user's face image according to the image analysis algorithm, and estimates the user's age from it. When estimating the user's age, the server can also correct the user's age according to the surrounding light or the user's shooting angle to estimate a more accurate user's age.

There are many ways to deal with restricted commodity transactions. For example, when the estimated user age falls in [18,+∞], it is allowed to sell restricted goods to users. When the estimated user age falls in [30, + ∞], it is allowed to sell restricted goods to users, and when the estimated user age falls in (-∞, 30), it is prohibited to sell restricted goods to users.

In some embodiments, referring to FIG. 7m, S691 includes:

S6911: Determine whether the estimated age of the user is greater than a preset age threshold;

S6912. If yes, sell restricted goods to users;

S6913. If not, suspend restricted commodity trading.

In this embodiment, the preset age threshold can be defined by the administrator. Generally, for the principle of prudence, the preset age threshold is equal to 18 years old plus age error, where the age error can be adjusted according to the user's race, for example For yellow people, the age error is 5 years old, and for Caucasian or black people, the age error is 3 years old.

For example, the preset age threshold is 21 years old. When a user whose actual age is 15 years old purchases a cigarette, the server estimates that the user is 18 years old according to the user's face image. Although the estimated age of the user is equal to 18 years old, which satisfies the legal requirements for purchasing cigarettes, it is not yet greater than the preset age threshold of 21 years old, so the server suspends restricted commodity transactions.

For another example, the preset age threshold is 21 years old. When a user who is actually 18 years old buys a cigarette, the server estimates that the user is 19 years old based on the user's face image. Although the estimated age of the user is equal to 19 years old, which satisfies the legal requirements for purchasing cigarettes, it is not yet greater than the preset age threshold of 21 years old, so the server suspends restricted commodity trading. In such cases, it is to give priority to satisfying the principle of social care for minors on the premise that users can purchase restrictive commodities as quickly and easily as possible.

For another example, the preset age threshold is 21 years old. When a user who is 30 years old actually buys a cigarette, the server estimates that the user is 26 years old based on the user's face image. Since the estimated age of the user is equal to 26 years old, which meets the legal requirements for purchasing cigarettes, and it is still greater than the preset age threshold of 21 years old, the server sells restricted goods to the user.

In S6912, users can pay for restricted commodities in cash or third-party payment methods. Therefore, in some embodiments, referring to FIG. 7n, S6912 includes:

S69121: Start a third-party payment page, and the user enters payment information on the third-party payment page;

S69122: Receive payment success information sent by the third-party payment system according to the payment information;

S69123. Sell restricted commodities to users based on the payment success information.

In this embodiment, after the user is allowed to purchase restricted goods, the server pushes a third-party payment page to the user's terminal. The user can enter payment information on the third-party payment page. The payment information includes the payment account number, payment password, and payment amount.

The third-party payment system deducts the payment amount from the payment account according to the payment information, and pushes the payment success information to the server and the terminal respectively.

Based on the payment success information, the server extracts the restricted goods from the smart store or smart container and sells the restricted goods to the user.

Therefore, in this way, it can expand the payment range, which is conducive to promoting user consumption.

In some embodiments, after suspending restricted commodity trading, please refer to FIG. 7o, S691 further includes:

S6914. Prompt the user to enter ID card information;

S6915: Determine whether the identity image in the ID card information matches the user's face image;

S6916. If there is a match, process the restricted commodity transaction according to the age information in the ID card information;

S6917. If there is no match, stop restrictive commodity trading.

In this embodiment, the server may present the "please enter ID card" information on the display screen of the smart store or smart container to prompt the user to enter the ID card information before purchasing the restricted product. Therefore, the user inserts the ID card into the identity collection module. The identity collection module reads the ID card and uploads the ID card information to the server. The server judges that the age in the ID card information is greater than 18 years old, and sells restricted products to the user. At the same time, the server also mobilizes the camera to obtain the user's face image, and pre-stores the user's face image in the database, so that subsequent users can quickly purchase restricted products for the second time. If you are less than 18 years old, it is forbidden to sell restricted products to users.

In each of the above embodiments, the user may place an order to purchase goods from a smart store or a smart container via the Internet, and the user may extract the purchased goods from the smart store or a smart container offline. In this embodiment, the commodity purchase instruction also includes an online order instruction, and the online order instruction is used to purchase offline commodities. Referring to FIG. 7p, the information processing method S600 further includes:

S70. According to the online order instruction, a pickup code is generated, and the pickup code is used to extract offline commodities;

In S70, the online order placing instruction includes the product information of the offline product and the mobile phone number of the consignee. After the user pays successfully, the server sends the information including the pick-up code and pick-up location to the phone number of the shipper according to the online order placing instruction.

S71. Receive the delivery code input by the user;

In S71, the user goes to the pick-up location in the information and enters the pick-up code in the smart store or smart container.

S72. According to the delivery code, trade offline commodities.

In S72, the server determines whether the collection code is pre-stored, and if it is pre-stored, extracts the offline commodity to the user. If it is not pre-stored, it is judged that the pickup code is an illegal pickup code, and the transaction of offline commodities is stopped.

Referring to FIG. 7q, the first user 701 presents a cigarette to the second user 702. The first user 701 uses the first terminal 703 to place an order to purchase a cigarette in a commodity mall. During the purchase, the first user 701 fills in information such as the pickup method, the pickup location, the phone number of the consignee, the commodity information of the cigarette, etc. Here, the consignor The mobile phone number is the mobile phone number of the second terminal 704 of the second user 702. Therefore, the first terminal 703 encapsulates the above information in the online order placing instruction and sends the online order placing instruction to the server 12. The server 12 generates a delivery code according to the online order instruction, and establishes a mapping relationship between the delivery code, cigarette, delivery location, and phone number of the delivery person.

After the first user 701 uses the first terminal 703 to complete the cigarette payment, the server 12 sends the pickup code, pickup location and other information to the second terminal 704, so the second user 702 goes to the designated smart container 705 according to the pickup location, Input the pick-up code in the user interaction interface provided by the smart container 705, the smart container 705 sends the pick-up code to the server 12, the server 12 determines that the pick-up code is pre-stored, and then controls the smart container 705 to output the cigarettes located in the corresponding compartment. If not pre-stored, the user will be prompted to enter the illegal pickup code, and please re-enter the pickup code.

The difference from the above embodiment is that after the first user 701 places an order successfully, the system sends a delivery voucher to the first user 701, and the delivery voucher includes the delivery code. The first user 701 can share the delivery voucher with the second user 702, so the second user 702 can pick up the goods according to the delivery code in the delivery voucher.

In this way, it can promote consumer consumption.

In the above embodiments, since the smart store is left unattended, the traditional method is prone to missing calculations or the settlement process is relatively cumbersome when paying for commodities. 3, the user enters the checkout area 301, where only one user is allowed to enter the checkout area 301. During checkout, the local controller 134 controls the camera 132 to capture the user's face to obtain a face image. In addition, the radio frequency reading and writing device 133 scans the RFID tag of the product held by the user, and sends the RFID tag information of the commodity to the local controller 134, and the local controller 134 uploads the user's face image and the RFID tag information of the commodity to the server.

The server counts the prices of all products based on the RFID tag information of each product. Secondly, the server settles the prices of all commodities based on the user's face image. For example, first, the server determines whether the user's face image matches the preset face image; if it matches, the server selects the account corresponding to the user's face image as the user's account; if it does not match, the user is prompted to register an account. Each account can be pre-stored with a certain amount. Second, the server deducts the price of the product from the user's account based on the RFID tag information.

Therefore, in this way, it can simplify the checkout process for users to purchase commodities in a smart store, and can shop with a face, which greatly improves the user's experience.

In each of the above embodiments, the server may also recommend products with artificial intelligence. First, the server obtains the user's telecommunications data and historical consumption data. The telecommunications data includes the user's identity information and geographic location. The user's identity information includes the user's mobile phone number, account information, face image information, fingerprint information, or iris information. The historical consumption data includes the information of the commodities purchased by the user in the history of a retail terminal such as a smart store or a smart container. The product information includes the name, model, quantity, price, and purchase time of the commodities.

Secondly, the server recommends products to users based on their telecommunications data and historical consumption data. For example, the server knows that user A1 is currently located in Guangdong Province based on the geographic location of user A1, and based on user A1's historical consumption data that user A1 prefers product K1 whose origin is in Guangdong Province, so the server can recommend product K1 Give user A1. For another example, the server learns that user A1 buys less spicy products based on the historical consumption data of user A1, and learns that product type S1 is more popular, so the server can recommend non-spicy products under product type S1 to user A .

In order to understand in detail the various types of business logic provided by the embodiments of the present application, the following describes each business logic in conjunction with FIGS. 7r to 7v, FIGS. 8 to 8u, and FIGS. 9 to 9c. Apply for the protection scope of the embodiments.

Please refer to FIG. 9d, the information processing method provided by the embodiment of the present application can be applied to any link in the field of Internet of Things. When it is applied to different links of the Internet of Things, it can use mobile Internet hardware, software anti-counterfeiting traceability technology and system platform Constructed into a complete IoT commodity ecosystem. For example, as shown in FIG. 9d, the information processing method can be applied to a new manufacturing link in the Internet of Things. In the new manufacturing link, with the help of the information processing method described in each embodiment of the present application, it can realize such as tobacco (hard package /Soft package), and when packaging products, anti-counterfeiting operations such as labeling anti-counterfeiting and RFID anti-counterfeiting are implemented. In addition, it can also build a production code library. The production code library pre-stores the relationship between the traceability source code and the generated code of each commodity. The system can query the authenticity of the commodity through the relationship between the traceability source code and the generated code. Therefore, the IoT Commodity Ecosystem can realize the construction of anti-counterfeiting traceability information of commodities during the manufacturing process, thus providing support for subsequent circulation verification of anti-counterfeiting information of commodities.

As shown in Figure 9d, after the goods are manufactured, the goods need to be circulated to the merchant for storage. In the circulation link, the IoT Commodity Ecosystem can record the purchase, sales and inventory status of each commodity. For example, with the help of commodity anti-counterfeiting traceability information, in the B2B mode, it can record the information of the circulation of commodities during storage to each merchant's warehouse. Not only can it be circulated and recorded in B2B mode, but also can be recorded and recorded in B2C mode.

As shown in Figure 9d, merchandise can be sold under different sales patterns. For example, merchandise can be sold under smart stores, under smart containers, and can be bought online and taken offline. The IoT Commodity Ecosystem also supports franchise methods to expand sales channels.

As shown in Figure 9d, the IoT Commodity Ecosystem is designed with a payment platform that supports various payment methods to facilitate consumers' flexible settlement. The IoT Commodity Ecosystem also supports various sub-ecologies based on the payment platform, such as electronic invoices, credit loans, points treasure and insurance.

In general, new manufacturing provides a foundation for anti-counterfeiting and traceability for new circulation. New circulation supports multiple circulation methods and injects vitality into new retail. New retail supports various sales formats and expands sales channels and methods. New finance introduces funds through new retail , User data, etc., to create financial conditions for generating new manufacturing and other conditions. Therefore, this IoT commodity ecosystem is a closed-loop feedback ecosystem in which various ecological links promote each other.

It should be noted that, in the above embodiments, there is not necessarily a certain order between the above steps. A person of ordinary skill in the art can understand from the description of the embodiments of the present application that in different embodiments, the above steps There can be different execution orders, that is, they can be executed in parallel, or they can be exchanged.

As another aspect of the embodiments of the present application, the embodiments of the present application provide an information processing apparatus. The information processing device in the embodiment of the present application may serve as one of the software functional units. The information processing device includes several instructions. The several instructions are stored in a memory, and the processor may access the memory and call the instructions for execution to complete the above information processing method.

Referring to FIG. 10, the information processing apparatus 900 includes a request acquisition module 91, a point adjustment module 92, and a currency generation module 93.

The request obtaining module 91 is used to obtain an information processing request sent by the terminal, where the information processing request includes the source code and account information of the target product scanned by the terminal, the account information corresponds to product points, and products of different product types correspond to different point types Of merchandise points;

The point adjustment module 92 is used to adjust the product points corresponding to the account information according to the query times of the source code tracing;

The currency generation module 93 is used to generate network currency corresponding to the purchased commodity according to the point type of the commodity points.

In summary, on the one hand, when a user purchases a commodity and scans the traceability source code of the commodity, this embodiment can adjust the user's points according to the number of queries of the traceability source code. However, the points can be used to exchange goods, so it can feed back consumers. Encouraging consumers to purchase products with traceable source code is conducive to the popularization of traceable source code. On the other hand, this embodiment can also generate network currency according to the point type of product points, which can be used to purchase any type of product, so it can improve the versatility of points.

In some embodiments, referring to FIG. 10a, the point adjustment module 92 includes: a sales status determination unit 921, a purchase adjustment unit 922, and a non-purchase adjustment unit 923.

The determination sale state unit 921 is used to determine the sale state of the target commodity, the sale state includes a purchased state and an unpurchased state;

The purchase adjustment unit 922 is configured to adjust the product points corresponding to the account information according to the number of inquiries of the traceability source code if the sales state of the target product is the purchased state;

The unpurchased adjustment unit 923 is configured to not adjust the product points corresponding to the account information if the sales status of the target product is an unpurchased state.

Referring to FIG. 10b, the point adjustment module 92 includes: a traceability source determination unit 924 and a point adjustment unit 925.

The source code tracing determining unit 924 is used to determine the number of queries of the source code tracing;

The point adjustment unit 925 is configured to adjust the product points corresponding to the point type of the target product in the account information according to the query times of the source code traceability.

In some embodiments, the point adjustment unit 925 is specifically configured to: determine whether the traceability source code is queried for the first time; if so, increase the product points corresponding to the point type of the target product in the account information according to a preset point increment ; If not, keep the product points corresponding to the point type of the target product in the account information unchanged.

In some embodiments, referring to FIG. 10c, the information processing apparatus 900 further includes: a generated code determination module 94 and a commodity determination module 95.

The generated code determination module 94 is used to determine the generated code according to the source code traceability;

The commodity determination module 95 is used to determine that the commodity corresponding to the generated code is the target commodity.

In some embodiments, the source code includes a two-dimensional code or an RFID tag code.

In some embodiments, referring to FIG. 10d, the currency generation module 93 includes: a point acquisition unit 931 and a currency generation unit 932.

The point obtaining unit 931 is used to obtain consumption points selected by the user to be exchanged for purchased goods;

The currency generating unit 932 is configured to generate network currency corresponding to the purchased commodity according to the point type of the consumption point and the point type of the purchased item.

In some embodiments, the point type includes a general point type and a directed point type, the general point type commodity points are used to redeem any type of purchased goods, and the directed point type commodity points are used to redeem a specified type Purchase goods.

The currency generating unit 932 is specifically configured to: determine whether the point type of the consumption point is the general point type, or whether the point type of the consumption point and the point type of the purchased commodity are the same; if so, follow the One point consumption rule generates network currency corresponding to purchased goods; if not, generate network money corresponding to purchased goods according to a second point consumption rule, wherein the first point consumption rule is different from the second point consumption rule.

In some embodiments, the second point consumption rule includes: converting commodity points of the directional point type into commodity points of the general point type according to a preset proportional coefficient.

In some embodiments, referring to FIG. 10e, the information processing apparatus 900 further includes: an access detection module 96 and a point reward module 97.

The access detection module 96 is used to obtain a webpage request when detecting a link to visit a commodity, the webpage request carrying account information of at least one user;

The point reward module 97 is used to return preset reward points to the account information according to the webpage request.

In some embodiments, referring to FIG. 10f, the information processing device 900 further includes: an invoicing record module 98 and a position record module 99.

The invoicing record module 98 is used to record invoicing information of different logistics links of the target commodity.

The location recording module 99 is used to record the geographic location information of the target commodity under different logistics links.

In some embodiments, referring to FIG. 10g, the information processing apparatus 900 further includes: an instruction receiving module 910 and a settlement purchase module 911.

The instruction receiving module 910 is used to receive a commodity purchase instruction;

The settlement purchase module 911 is used to settle the purchased commodities according to the commodity purchase instruction.

In some embodiments, the commodity purchase instruction is sent by scanning the QR code of the purchased commodity; or, the commodity purchase instruction is sent by selecting the purchased commodity on the commodity detail page; or, The commodity purchase instruction is sent by the infrared scanning device scanning the identification code of the purchased commodity; or, the commodity purchase instruction is sent by the RFID scanning device scanning the RFID tag of the purchased commodity; or, the The merchandise purchase instruction is sent by collecting the user's voice to purchase the merchandise; or, the merchandise purchase instruction is sent when the user's purchase behavior of the merchandise purchased by the visual recognition method is determined or the visual image that the merchandise is removed matches the preset purchase model.

In some embodiments, the settlement purchase module 911 is specifically configured to: deduct the amount of the purchased commodity from the payment channel selected by the user; or, receive biometric information input by the user; determine whether the biometric information input by the user matches Preset biometric information; if it matches, deduct the amount of the purchased commodity from the payment channel selected by the user; if there is no match, suspend settlement; or, start a third-party payment page, the user pays at the third-party Enter payment information on the page; receive the payment success information sent by the third-party payment system according to the payment information; settle the purchased goods based on the payment success information; or, obtain the user's face image; determine the user's person Whether the face image matches the preset face image; if it matches, deduct the amount of the purchased product from the payment channel selected by the user; if it does not match, suspend settlement; or, obtain the user's mobile phone number and face image; judge Whether the user's mobile phone number matches the preset mobile phone number; if the user's mobile phone number matches the preset mobile phone number, determine whether the user's face image matches the preset face image; if the user's face image matches the preset person Face image, the amount of the purchased product is deducted from the payment channel selected by the user; if the user's face image does not match the preset face image, settlement is suspended; if the user's mobile phone number does not match the preset mobile phone number , Suspend settlement; or, obtain the user's payment code; settle the purchased goods based on the user's payment code; or, obtain the user's identity information; determine the credit corresponding to the user based on the user's identity information Score; based on the user's credit score, settle the purchased goods; or, obtain the user's mobile phone number; according to the user's mobile phone number, settle the purchased goods.

In some embodiments, the settlement purchase module 911 is further specifically configured to: determine whether the user's credit score is greater than a preset credit score; if greater, allow the user to leave the store with the purchased goods without paying, and, The amount of the purchased commodity is later deducted from the account information corresponding to the user's identity information; if it is less, the settlement is suspended.

In some embodiments, the settlement purchase module 911 is further specifically used to: determine whether the user's mobile phone number matches the preset mobile phone number; if it matches, deduct the purchased from the account information corresponding to the user's mobile phone number The amount of the product; if there is no match, the settlement will be suspended.

In some embodiments, the commodity purchase instructions include restrictive commodity purchase instructions. The settlement purchase module 911 is also specifically used to: determine whether the commodity purchase instruction is the restricted commodity purchase instruction; if yes, settle the purchased commodity according to the preset purchase logic; if not, settle the purchased commodity.

In some embodiments, the settlement purchase module 911 is further specifically configured to: obtain a user's face image according to the restricted commodity purchase instruction; and determine whether the user places an order for the first time based on the user's face image Purchase restrictive commodities; deal with restrictive commodity transactions based on the judgment.

In some embodiments, the settlement purchase module 911 is further specifically configured to: if the user places an order for a restricted product for the first time, estimate the user’s age based on the user’s face image, and based on the estimated The age of the user handles restricted commodity transactions; if the user does not place an order to purchase restricted commodities for the first time, sell the restricted commodities to the user.

In some embodiments, the settlement purchase module 911 is further specifically configured to: determine whether the estimated age of the user is greater than a preset age threshold; if so, sell restricted goods to the user; if not, suspend restricted goods transaction.

In some embodiments, the settlement purchase module 911 is further specifically configured to: start a third-party payment page, the user enters payment information on the third-party payment page; receive a payment sent by the third-party payment system according to the payment information Success information; based on the payment success information, selling restricted commodities to the user.

In some embodiments, the settlement purchase module 911 is further specifically configured to: prompt the user to enter ID card information; determine whether the identity image in the ID card information matches the user's face image; if it matches, according to The age information in the ID card information deals with restricted commodity transactions; if there is no match, the restricted commodity transactions are stopped.

In some embodiments, the commodity purchase instruction further includes an online order instruction, and the online order instruction is used to purchase an offline commodity. Referring to FIG. 10h, the information processing device 900 further includes: a pickup code generation module 912, a pickup code input module 913, and a commodity transaction module 914.

The pickup code generation module 912 is used to generate a pickup code according to the online order placing instruction, and the pickup code is used to extract the offline commodity.

The pickup code input module 913 is used to receive the pickup code input by the user;

The commodity transaction module 914 is used to trade the offline commodity according to the delivery code.

It should be noted that the above-mentioned information processing device can execute the information processing method provided by the embodiments of the present application, and has the functional modules and beneficial effects corresponding to the execution method. For technical details that are not described in detail in the embodiments of the information processing apparatus, refer to the information processing method provided in the embodiments of the present application.

As another aspect of the embodiments of the present application, the embodiments of the present application provide a server. Referring to FIG. 11, the server 1000 includes one or more processors 101 and a memory 102. Among them, one processor 101 is taken as an example in FIG. 11.

The processor 101 and the memory 102 may be connected through a bus or in other ways. In FIG. 11, the connection through a bus is used as an example.

The memory 102 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer executable programs, and modules, such as program instructions corresponding to the information processing method in the embodiments of the present application. /Module. The processor 101 executes the non-volatile software programs, instructions, and modules stored in the memory 102 to execute the information processing method of the foregoing embodiments, or various functional applications and data processing of the information processing apparatus of the foregoing embodiments .

The memory 102 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 102 may optionally include memories remotely provided with respect to the processor 101, and these remote memories may be connected to the processor 101 through a network. Examples of the above network include but are not limited to the Internet, intranet, local area network, mobile communication network, and combinations thereof.

The program instructions/modules are stored in the memory 102, and when executed by the one or more processors 101, execute the information processing method in any of the above method embodiments, for example, thereby executing the information of each of the above embodiments A processing method, or various functional applications and data processing of the information processing apparatus of the foregoing embodiments.

An embodiment of the present application further provides a non-transitory computer-readable storage medium, where the non-transitory computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to cause the server to execute any one of the above The information processing method.

An embodiment of the present application provides a computer program product. The computer program product includes a computer program stored on a non-volatile computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a server Time, causing the server to execute any of the information processing methods described above.

In summary, on the one hand, when a user purchases a commodity and scans the traceability source code of the commodity, this embodiment can adjust the user's points according to the query times of the traceability source code. However, the points can be used to redeem the commodity, so it can feed back Consumers, encouraging consumers to purchase products with traceable source code, is conducive to the popularization of traceable source code. On the other hand, this embodiment can also generate network currency according to the point type of product points, which can be used to purchase any type of product, so it can improve the versatility of points.

The device or device embodiments described above are only schematic, wherein the unit modules described as separate components may or may not be physically separated, and the components displayed as the module units may or may not be physical units , Can be located in one place, or can be distributed to multiple network module units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a common hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions can essentially be embodied in the form of software products that contribute to related technologies, and the computer software products can be stored in computer-readable storage media, such as ROM/RAM, magnetic disks , Optical discs, etc., including several instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) to perform the methods described in the various embodiments or some parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, not to limit them; under the idea of the present application, the technical features in the above embodiments or different embodiments may also be combined, The steps can be implemented in any order, and there are many other variations of the different aspects of the present application as described above. For simplicity, they are not provided in the details; although the present application has been described in detail with reference to the foregoing embodiments, the ordinary The skilled person should understand that they can still modify the technical solutions described in the foregoing embodiments, or equivalently replace some of the technical features; and these modifications or replacements do not deviate from the essence of the corresponding technical solutions in the implementation of this application. Examples of technical solutions.

Claims (52)

An information processing method, characterized in that it includes: Obtain an information processing request sent by a terminal, where the information processing request includes the traceability source code of the target product and account information, where the account information corresponds to product points, and products of different product types correspond to product points of different point types; Adjust the product points corresponding to the account information according to the query times of the traceability source code; According to the type of points of the commodity points, a network currency corresponding to the purchased commodity is generated. The method according to claim 1, wherein the adjusting the commodity points corresponding to the account information according to the query times of the source code trace includes: Determine the sale status of the target commodity, the sale status includes a purchased status and an unpurchased status; If the sale status of the target commodity is the purchased status, adjust the commodity points corresponding to the account information according to the query times of the traceability source code; If the sales status of the target product is an unpurchased state, the product points corresponding to the account information are not adjusted. The method according to claim 1, wherein the adjusting the commodity points corresponding to the account information according to the query times of the source code trace includes: Determine the number of queries for the traceability source code; According to the query times of the traceability source code, adjust the product points corresponding to the target product point type in the account information. The method according to claim 3, wherein the adjusting the product points corresponding to the point type of the target product in the account information according to the number of times of tracing the source code includes: Determine whether the traceability source code has been searched for the first time; If so, increase the product points corresponding to the point type of the target product in the account information according to the preset point increment; If not, keep the product points corresponding to the point type of the target product in the account information unchanged. The method according to claim 1, wherein after acquiring the information processing request sent by the terminal, the method further comprises: According to the traceability source code, determine the generated code; Determine that the product corresponding to the generated code is the target product. The method according to any one of claims 1 to 5, wherein the generating of the network currency corresponding to the purchased product according to the type of the product points includes: Obtain consumption points that the user chooses to redeem for purchased goods; According to the type of points of the consumption points and the type of points of the purchased goods, a network currency corresponding to the purchased goods is generated. The method according to claim 6, characterized in that the point type includes a general point type and a directed point type, the commodity points of the general point type are used to redeem any type of purchased goods, and the targeted point type of goods Points are used to redeem specified types of purchased goods; The generating of network currency corresponding to the purchased goods according to the type of points of the consumption points and the type of points of the purchased goods includes: Judging whether the point type of the consumption point is the general point type, or whether the point type of the consumption point is the same as the point type of the purchased commodity; If yes, generate the network currency corresponding to the purchased goods according to the first point consumption rule; If not, the network currency corresponding to the purchased goods is generated according to the second point consumption rule, wherein the first point consumption rule is different from the second point consumption rule. The method according to claim 7, wherein the second point consumption rule includes: converting commodity points of the directional point type into commodity points of the general point type according to a preset proportional coefficient. The method according to any one of claims 1 to 5, wherein the method further comprises: When a link to access a commodity is detected, a webpage request is obtained, and the webpage request carries account information of at least one user; According to the webpage request, return preset reward points to the account information. The method according to any one of claims 1 to 5, wherein the method further comprises: Record the invoicing information of different logistics links of the target commodity. The method of claim 10, further comprising: Record the geographic location information of the target product under different logistics links. The method according to claim 1, wherein the method further comprises: Receive merchandise purchase instructions; According to the commodity purchase instruction, settle the purchased commodity. The method according to claim 12, characterized in that The commodity purchase instruction is sent by scanning the QR code of the purchased commodity; or, The commodity purchase instruction is sent by selecting the purchased commodity on the commodity detail page; or, The commodity purchase instruction is sent by the infrared scanning device scanning the identification code of the purchased commodity; or, The commodity purchase instruction is sent by the RFID scanning device scanning the RFID tag of the purchased commodity; or, The commodity purchase instruction is sent by collecting the user's voice and issuing the purchase commodity; or, The merchandise purchase instruction is sent when the user's purchase behavior of purchasing the merchandise or the visual image that the merchandise is taken away matches the preset purchase model using visual recognition. The method according to claim 12, wherein the goods purchased for settlement include: Deduct the amount of the purchased commodity from the payment channel selected by the user; or, Receive biometric information input by the user; Determine whether the biometric information input by the user matches the preset biometric information; If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user; If there is no match, the settlement will be suspended; or, Start a third-party payment page, the user enters payment information on the third-party payment page; Receiving payment success information sent by a third-party payment system according to the payment information; Settle the purchased goods according to the payment success information; or, Get the user's face image; Determine whether the face image of the user matches the preset face image; If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user; If there is no match, the settlement will be suspended; or, Obtain the user's mobile phone number and face image; Determine whether the user's mobile phone number matches the preset mobile phone number; If the user's mobile phone number matches the preset mobile phone number, determine whether the user's face image matches the preset face image; If the face image of the user matches the preset face image, the amount of the purchased commodity is deducted from the payment channel selected by the user; If the user’s face image does not match the preset face image, settlement will be suspended; If the mobile phone number of the user does not match the preset mobile phone number, settlement is suspended; or, Get the user's payment code; Settle the purchased goods according to the user's payment code; or, Obtain the user's identity information; Determine the credit score corresponding to the user according to the user's identity information; Settle the purchased goods according to the user's credit score; or, Obtain the user's mobile phone number; According to the user's mobile phone number, settle the purchased merchandise. The method according to claim 14, wherein the settlement of the purchased goods according to the user's credit score includes: Determine whether the user's credit score is greater than the preset credit score; If it is greater, the user is allowed to leave the store with the purchased product without paying, and the amount of the purchased product is later deducted from the account information corresponding to the user's identity information; If it is less, the settlement will be suspended. The method according to claim 14, wherein the settlement of the purchased goods according to the user's mobile phone number comprises: Determine whether the user's mobile phone number matches the preset mobile phone number; If there is a match, the amount of the purchased commodity is deducted from the account information corresponding to the user's mobile phone number; If there is no match, the settlement will be suspended. The method according to claim 12, wherein the commodity purchase instruction includes a restricted commodity purchase instruction; The settlement of the purchased commodity according to the commodity purchase instruction includes: Determine whether the commodity purchase instruction is the restricted commodity purchase instruction; If yes, settle the purchased goods according to the preset purchase logic; If not, settle the purchased goods. The method according to claim 17, wherein the settlement of the purchased goods according to the preset purchase logic includes: Acquire the user's face image according to the restricted commodity purchase instruction; According to the user's face image, determine whether the user places an order to purchase restricted goods for the first time; Based on the judgment results, deal with restricted commodity transactions. The method according to claim 18, wherein the processing of restricted commodity transactions according to the judgment result includes: If the user places an order to purchase a restricted product for the first time, estimate the user's age based on the user's face image, and process the restricted product transaction based on the estimated user's age; If the user does not place an order to purchase restricted goods for the first time, sell the restricted goods to the user. The method according to claim 19, wherein the processing of restricted commodity transactions based on the estimated age of the user includes: Determine whether the estimated age of the user is greater than a preset age threshold; If so, sell restricted goods to the user; If not, suspend restricted commodity trading. The method according to claim 20, wherein the selling of restricted goods to the user comprises: Start a third-party payment page, the user enters payment information on the third-party payment page; Receiving payment success information sent by a third-party payment system according to the payment information; Based on the payment success information, sell restricted commodities to the user. The method according to claim 19, wherein after the suspension of the restricted commodity transaction, the processing of the restricted commodity transaction based on the estimated age of the user further comprises: Prompt the user to enter ID card information; Judging whether the identity image in the ID card information matches the user's face image; If there is a match, the restricted commodity transaction is processed according to the age information in the ID card information; If there is no match, stop the restricted commodity transaction. The method according to claim 12, wherein the commodity purchase instruction comprises an online order instruction, and the online order instruction is used to purchase offline commodities; The method also includes: According to the online order instruction, a pickup code is generated, and the pickup code is used to extract the offline commodity; Receive the delivery code entered by the user; According to the delivery code, trade the offline commodity. The method according to claim 1, wherein the method further comprises: Artificial intelligence recommended products. The method according to claim 24, wherein the artificial intelligence recommending commodities includes: Obtain the user's telecommunications data and historical consumption data, where the telecommunications data includes the user's identity information and geographic location; Based on the user's telecommunications data and historical consumption data, recommend products to the user. The method of claim 1, wherein: The information processing request is sent by scanning the source code of the target product; or, The information processing request is sent by collecting a voice control instruction issued when the user purchases the target product by voice; or, The information processing request is sent by the image analysis target product. An information processing device, characterized in that it includes: A request acquisition module for acquiring an information processing request sent by a terminal, where the information processing request includes the source code of the target product and account information, the account information corresponds to product points, and products of different product types correspond to product points of different types of points; The point adjustment module is used to adjust the product points corresponding to the account information according to the query times of the source code traceability; The currency generation module is used to generate network currency corresponding to the purchased commodity according to the point type of the commodity points. The apparatus according to claim 27, wherein the integral adjustment module comprises: A unit for determining a sale status, for determining a sale status of the target commodity, the sale status includes a purchased status and an unpurchased status; A purchase adjustment unit, configured to adjust the product points corresponding to the account information according to the number of inquiries of the traceability source code if the sales status of the target product is the purchased state; The unpurchased adjustment unit is configured to not adjust the product points corresponding to the account information if the sales status of the target product is an unpurchased state. The apparatus according to claim 27, wherein the integral adjustment module comprises: A source code tracing determining unit, used to determine the number of queries of the source code tracing; The point adjustment unit is configured to adjust the product points corresponding to the point type of the target product in the account information according to the query times of the source code traceability. The apparatus according to claim 29, wherein the integral adjustment unit is specifically configured to: Determine whether the traceability source code has been searched for the first time; If so, increase the product points corresponding to the point type of the target product in the account information according to the preset point increment; If not, keep the product points corresponding to the point type of the target product in the account information unchanged. The device of claim 27, wherein the device further comprises: The generated code determination module is used to determine the generated code according to the traceable source code; The commodity determination module is used to determine that the commodity corresponding to the generated code is the target commodity. The device according to any one of claims 27 to 31, wherein the currency generation module includes: The point acquisition unit is used to obtain consumption points that the user chooses to redeem for purchased goods; The currency generating unit is configured to generate a network currency corresponding to the purchased commodity according to the type of points of the consumption points and the type of points of the purchased goods. The device according to claim 32, characterized in that the point type includes a general point type and a directed point type, and the commodity points of the general point type are used to redeem any type of purchased goods, and the directed point type of goods Points are used to redeem specified types of purchased goods; The currency generating unit is specifically used for: Judging whether the point type of the consumption point is the general point type, or whether the point type of the consumption point is the same as the point type of the purchased commodity; If yes, generate the network currency corresponding to the purchased goods according to the first point consumption rule; If not, the network currency corresponding to the purchased goods is generated according to the second point consumption rule, wherein the first point consumption rule is different from the second point consumption rule. The device according to claim 33, wherein the second point consumption rule includes: converting commodity points of the directional point type into commodity points of the general point type according to a preset proportional coefficient. The device according to any one of claims 27 to 31, wherein the device further comprises: An access detection module, configured to obtain a webpage request when detecting a link to visit a commodity, the webpage request carrying account information of at least one user; The point reward module is used to return preset reward points to the account information according to the webpage request. The device according to any one of claims 27 to 31, wherein the device further comprises: The invoicing record module is used for recording invoicing information of different logistics links of the target commodity. The device of claim 36, wherein the device further comprises: The location recording module is used to record the geographic location information of the target commodity under different logistics links. The device of claim 27, wherein the device further comprises: Instruction receiving module, used to receive commodity purchase instructions; The settlement purchase module is used to settle the purchased goods according to the commodity purchase instruction. The device according to claim 38, characterized in that The commodity purchase instruction is sent by scanning the QR code of the purchased commodity; or, The commodity purchase instruction is sent by selecting the purchased commodity on the commodity detail page; or, The commodity purchase instruction is sent by the infrared scanning device scanning the identification code of the purchased commodity; or, The commodity purchase instruction is sent by the RFID scanning device scanning the RFID tag of the purchased commodity; or, The commodity purchase instruction is sent by collecting the user's voice and issuing the purchase commodity; or, The merchandise purchase instruction is sent when the user's purchase behavior of purchasing the merchandise or the visual image that the merchandise is taken away matches the preset purchase model using visual recognition. The apparatus according to claim 38, wherein the settlement purchase module is specifically used for: Deduct the amount of the purchased commodity from the payment channel selected by the user; or, Receive biometric information input by the user; Determine whether the biometric information input by the user matches the preset biometric information; If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user; If there is no match, the settlement will be suspended; or, Start a third-party payment page, the user enters payment information on the third-party payment page; Receiving payment success information sent by a third-party payment system according to the payment information; Settle the purchased goods according to the payment success information; or, Get the user's face image; Determine whether the face image of the user matches the preset face image; If there is a match, the amount of the purchased commodity is deducted from the payment channel selected by the user; If there is no match, the settlement will be suspended; or, Obtain the user's mobile phone number and face image; Determine whether the user's mobile phone number matches the preset mobile phone number; If the user's mobile phone number matches the preset mobile phone number, determine whether the user's face image matches the preset face image; If the face image of the user matches the preset face image, the amount of the purchased commodity is deducted from the payment channel selected by the user; If the user’s face image does not match the preset face image, settlement will be suspended; If the mobile phone number of the user does not match the preset mobile phone number, settlement is suspended; or, Get the user's payment code; Settle the purchased goods according to the user's payment code; or, Obtain the user's identity information; Determine the credit score corresponding to the user according to the user's identity information; Settle the purchased goods according to the user's credit score; or, Obtain the user's mobile phone number; According to the user's mobile phone number, settle the purchased merchandise. The device according to claim 38, wherein the settlement purchase module is further used to: Determine whether the user's credit score is greater than the preset credit score; If it is greater, the user is allowed to leave the store with the purchased product without paying, and the amount of the purchased product is later deducted from the account information corresponding to the user's identity information; If it is less, the settlement will be suspended. The device according to claim 38, wherein the settlement purchase module is further used to: Determine whether the user's mobile phone number matches the preset mobile phone number; If there is a match, the amount of the purchased commodity is deducted from the account information corresponding to the user's mobile phone number; If there is no match, the settlement will be suspended. The apparatus according to claim 38, wherein the commodity purchase instruction includes a restricted commodity purchase instruction; The settlement purchase module is also specifically used for: Determine whether the commodity purchase instruction is the restricted commodity purchase instruction; If yes, settle the purchased goods according to the preset purchase logic; If not, settle the purchased goods. The apparatus according to claim 43, wherein the settlement purchase module is further used to: Acquire the user's face image according to the restricted commodity purchase instruction; According to the user's face image, determine whether the user places an order to purchase restricted goods for the first time; Based on the judgment results, deal with restricted commodity transactions. The apparatus according to claim 44, wherein the settlement purchase module is further used to: If the user places an order to purchase a restricted product for the first time, estimate the user's age based on the user's face image, and process the restricted product transaction based on the estimated user's age; If the user does not place an order to purchase restricted commodities for the first time, sell the restricted commodities to the user. The apparatus according to claim 45, wherein the settlement purchase module is further used to: Determine whether the estimated age of the user is greater than a preset age threshold; If so, sell restricted goods to the user; If not, suspend restricted commodity trading. The apparatus according to claim 46, wherein the settlement purchase module is further specifically used to: Start a third-party payment page, the user enters payment information on the third-party payment page; Receiving payment success information sent by a third-party payment system according to the payment information; Based on the payment success information, sell restricted commodities to the user. The apparatus according to claim 45, wherein the settlement purchase module is further used to: Prompt the user to enter ID card information; Judging whether the identity image in the ID card information matches the user's face image; If there is a match, the restricted commodity transaction is processed according to the age information in the ID card information; If there is no match, stop the restricted commodity transaction. The device according to claim 38, wherein the commodity purchase instruction further comprises an online order instruction, and the online order instruction is used to purchase offline commodities; The device also includes: A pickup code generation module, configured to generate a pickup code according to the online order instruction, and the pickup code is used to extract the offline commodity; Pickup code input module, used to receive the pickup code input by the user; The commodity transaction module is used to trade the offline commodity according to the delivery code. A server, characterized in that it includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to cause the at least one processing The device can be used to execute the information processing method according to any one of claims 1 to 26. An information processing system, characterized in that it includes: Terminal; and The server according to claim 50, said server communicating with said terminal. A non-transitory computer-readable storage medium, characterized in that the non-transitory computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to make the server execute any of claims 1 to 26. An item of information processing method.

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