CN116167086A - Wind control management method based on specific information calculation and related products - Google Patents

Abstract

The embodiment of the application provides a wind control management method based on specific information calculation and a related product, wherein the method comprises the following steps: receiving unique identification information of an object to be wind controlled sent by a calculation initiator; acquiring data information corresponding to the unique identification information through a service data platform, and calculating the data information according to calculation indexes of a calculation platform foundation to obtain a basic index result; inputting the basic index result into a preset calculation rule model for calculation to obtain a final calculation result, and returning the final calculation result to a calculation initiator. The technical scheme that this application provided has the advantage that the security is high.

Description

A risk control management method based on specific information calculation and related products

technical field

The present invention relates to the field of data processing in the financial field, in particular to a risk control management method based on specific information calculation and related products.

Background technique

In risk control management, it is necessary to obtain relevant information of enterprises or individuals from multiple channels, and calculate the risk rating through the model, which may easily cause the leakage or abuse of relevant information of enterprises or individuals, and affect the security of information.

Contents of the invention

The embodiment of the present application discloses a risk control management method based on specific information calculation and related products. The method performs hidden calculation on the relevant information of enterprises or individuals to obtain the corresponding hidden identification, and then performs information calculation to obtain the corresponding risk control management. It avoids the disclosure of relevant information of enterprises or individuals, and improves the security of information.

In the first aspect, a risk control management method based on specific information calculation is provided, the method includes the following steps:

Receive the unique identification information of the risk control object sent by the computing initiator;

Obtain the data information corresponding to the unique identification information through the business data platform, and calculate the data information according to the basic calculation indicators of the calculation platform to obtain the basic indicator results;

The basic index result is input into the preset calculation rule model for calculation to obtain the final calculation result, and the final calculation result is returned to the calculation initiator.

In the second aspect, a risk control management system based on specific information calculation is provided, the system includes:

The communication unit is used to receive the unique identification information of the object to be risk controlled sent by the computing initiator;

An acquisition unit, configured to acquire data information corresponding to the unique identification information through a business data platform;

The calculation unit is used to calculate the data information according to the basic calculation indicators of the calculation platform to obtain the basic indicator results; input the basic indicator results into the preset calculation rule model for calculation to obtain the final calculation results, and return the final calculation results to Calculate the originator.

In a third aspect, an electronic device is provided, including a processor, a memory, a communication interface, and one or more programs, the one or more programs are stored in the memory and configured to be executed by the processor , the program includes instructions for executing the steps in the method of the first aspect.

In a fourth aspect, a computer-readable storage medium is provided, storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the method described in the first aspect.

In a fifth aspect, a computer program product is provided, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform the first aspect according to the embodiment of the present application. Some or all of the steps described in . The computer program product may be a software installation package.

The technical solution provided by this application receives the unique identification information of the risk control object issued by the calculation initiator, obtains the data information corresponding to the unique identification information through the business data platform, and calculates the data information according to the calculation indicators based on the calculation platform Obtain a basic index result; input the basic index result into a preset calculation rule model for calculation to obtain a final calculation result, and return the final calculation result to the calculation initiator. In this way, when calculating the risk control object, the calculated unique identification information is used. In this case, the general unique identification information of the enterprise will not be leaked, which improves the security of the information.

Description of drawings

The accompanying drawings used in the embodiments of the present application are introduced below.

Fig. 1 is a schematic diagram of network topology of a wind control management system based on specific information calculation of the present application;

Fig. 2 is a schematic flowchart of a risk control management method based on specific information calculation provided by the present application;

FIG. 3 is a schematic flow chart of risk control management based on specific information calculation provided in Embodiment 1 of the present application;

Fig. 4 is a schematic structural diagram of a risk control management system based on specific information calculation provided by an embodiment of the present application;

Fig. 5 is a schematic structural diagram of an electronic device provided by an embodiment of the present application.

Detailed ways

Embodiments of the present application are described below with reference to the drawings in the embodiments of the present application.

The term "and/or" in this application is only an association relationship describing associated objects, which means that there may be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, and A and B exist alone. There are three cases of B. In addition, the character "/" in this article indicates that the contextual objects are an "or" relationship.

"Multiple" appearing in the embodiments of the present application means two or more. The first, second, etc. descriptions that appear in the embodiments of this application are only for illustration and to distinguish the description objects, and there is no order, nor does it represent a special limitation on the number of devices in the embodiments of this application, and cannot constitute a limitation on the number of devices in this application. Any limitations of the examples. The "connection" in the embodiment of the present application refers to various connection modes such as direct connection or indirect connection to realize communication between devices, which is not limited in the embodiment of the present application.

Please refer to Fig. 1, a network topology diagram of a wind control management system based on specific information computing in an embodiment of the present invention, mainly composed of the computing initiator and the internal network topology of the specific information computing platform, wherein:

Calculation originator: Including the financial risk control system or the credit application approval system, the calculation request initiated due to the actual business scenario needs, the actual entrance may be the web application server, app server, or API service method to initiate the calculation request.

Internet/Dedicated Line: Calculate the network connection method between the initiator and the specific information computing platform. When connecting through the Internet, certain authority verification is required for the initiator. For example, the web system needs to have account password and other login verification, and the api service needs to authorize the interface. Authentication and encryption of necessary information. If the VPN special line method is adopted, the security of network communication can be strengthened to a certain extent.

Specific information computing platform extranet area: Provide specific information computing platform service functions, including gateway devices and multiple nodes connected to gateway devices, system authority verification of specific information computing platform extranet areas, display and call methods of basic computing indicators , the specific information computing node, the management of the specific information computing model, the management of the specific information computing audit information; wherein the system authority verification includes the authority verification of web system access and the authority verification of api interface access. The application and deployment of the necessary encryption keys; the display of basic computing indicators includes the display of web access display and the display of api interface access methods; the specific information computing node is to meet the computing services under the high concurrency of the system, and the specific information computing node adopts distributed deployment method, increasing the number of nodes according to the actual request volume; specific information computing model management includes creating, updating, and publishing specific information computing models, and using rule language to realize the management of complex computing models based on basic computing indicators combined with actual business scenarios, specific information computing The initiator can directly invoke the formulated model, obtain the model result and apply it to its own system process; specific information calculation audit information management includes request information, calculation results, time stamp and other information for the calculation initiator. The change information and usage of the specific information calculation model are convenient for auditing the input and output information of the system;

Intranet area of specific information computing platform: Provide basic data information required for specific information computing, including application servers and databases; application servers are used to provide external service portals, perform data analysis, message assembly, service authority verification, etc.; The database is used to store basic data information; the internal network area obtains the basic information required for the information according to the incoming unique identification information, and returns it to the external network area of the specific information computing platform, and the specific information computing platform calculates the basic indicators and passes them to the specific In the information calculation model, the model calculates the final result according to the rules actually deployed.

The specific information in this application may specifically be information that needs to be protected or kept confidential, including but not limited to: corporate identity information, personal identity information, business address information, and the like.

Referring to Fig. 2, Fig. 2 provides a schematic flowchart of a risk control management method based on specific information calculation, which can be executed by a terminal, which includes but is limited to: personal computer, server, data center, tablet computer, smart phone, etc. , the data required by the method can be extracted or implemented in the database as shown in Figure 1, and the method as shown in Figure 2 includes the following steps:

Step S201, receiving the unique identification information of the object to be risk controlled from the computing initiator;

For example, the above-mentioned unique identification information may be unique identification information calculated based on the general identification information of the object to be risk controlled. The above-mentioned method of calculating the unique identification information can adopt a variety of calculation methods, for example, the unique identification information obtained by calculating the general identification information through a non-stacking encryption algorithm, of course, other methods can also be used, and this application does not limit the above-mentioned The specific calculation method.

Step S202, obtain the data information corresponding to the unique identification information through the business data platform, and calculate the data information according to the basic calculation index of the computing platform to obtain the basic index result;

For example, the above data information includes but not limited to: asset and liability information corresponding to the unique identification information, profit information, bill information (electronic ticket, special ticket, general ticket, roll ticket) and so on.

As an example, the calculation of the data information based on the calculation indicators based on the calculation platform to obtain the basic indicator results may specifically include:

Extract the first type of data from the data information, determine whether the first type of data meets the calculation index, if it meets the calculation index, keep the first type of data, if it does not meet the calculation index, the first type of data Partial basic indicator results are obtained by data retention, and complete basic indicator results are obtained by traversing all types of data in the data information.

For example, the above-mentioned calculation index can be average value, variance, etc., and the above-mentioned compliance calculation index can be specifically: if it is the average value, then the calculation index is met if it is less than the average value, and it is not in compliance with the calculation index if it is greater than the average value. The above-mentioned calculation index can be is a preset fixed value, of course, in practical applications, the above calculation index can also be updated according to time.

Step S203, input the basic index result into the preset calculation rule model for calculation to obtain the final calculation result, and return the final calculation result to the calculation initiator.

The above-mentioned final calculation results include but are not limited to: normal, attention, warning, freezing, and recovery, five calculation results. Of course, in practical applications, there may be other calculation results.

The technical solution provided by this application receives the unique identification information of the risk control object issued by the calculation initiator, obtains the data information corresponding to the unique identification information through the business data platform, and calculates the data information according to the calculation indicators based on the calculation platform Obtain a basic index result; input the basic index result into a preset calculation rule model for calculation to obtain a final calculation result, and return the final calculation result to the calculation initiator. In this way, when calculating the risk control object, the calculated unique identification information is used. In this case, the general unique identification information of the enterprise will not be leaked, which improves the security of the information.

As an example, the above-mentioned input of the basic index results into the preset calculation rule model for calculation to obtain the final calculation results specifically includes:

Composing the basic index results into input data, inputting the input data into the preset calculation rule model to perform neural network calculation to obtain the calculation result, performing an activation operation on the calculation result to obtain the activation result, and determining the first interval corresponding to the activation result, Extract the final calculation result corresponding to the first interval.

As an example, the above activation operation may be an activation function, such as a sigmoid function or other activation functions, and the present application does not limit the specific types of activation functions.

Each calculation result in the above-mentioned final calculation results can be preset with a numerical interval, so that the activation result can determine which interval it belongs to, and then determine the final calculation result corresponding to the interval.

As an example, the above-mentioned composition of the basic indicator results into input data may specifically include:

Determine the type quantity x of the data of the basic index result, if the quantity x is equal to the type quantity y of the input template data, input each type of data to the corresponding position of the input template data to obtain the input data, if the quantity x is less than the input template data The number of types y, then input x types of data to the corresponding positions of the input template data to obtain part of the input data, extract y-x types of neutral data, and input the y-x types of neutral data to the input template data The corresponding position of the input data is obtained to obtain the remaining input data, and the partial input data and the remaining input data are combined to obtain the complete input data.

Here is a practical example to illustrate that since the input template data has all types of data, x cannot be greater than y. Assuming y=10 and x=7 here, it proves that the data that meets the basic indicators are 7 types of data, assuming Each type of data occupies a column of element values in the input template data, then input the 7 types of data into the corresponding 7 columns in the input template data to obtain part of the input data, and then extract the remaining 3 types of neutral data. 3 types of neutral data are input to the remaining 3 columns to get the remaining input data, and then combined to get the complete input data.

The above-mentioned neutral data is specifically data that does not affect the calculation results, and its specific value can be obtained through calculation tests. The neutral data here can be preset data. This application does not limit the specific performance of the above-mentioned neutral data. form.

After the neutral data is added, the input data can be completed to realize the subsequent calculation of the neural network model, and the neutral data will not affect the corresponding results, which improves the accuracy of the calculation.

As an example, the above-mentioned inputting each type of data into the corresponding position of the input template data to obtain the input data may specifically include:

If the number of values w1 corresponding to a type of data is less than the value W of the input template data row, insert and complete the value corresponding to a type to obtain W values. If the number w1 of data corresponding to a type of data is greater than the input template data row If the value is W, the values corresponding to a type are filtered to obtain W values.

As an example, the above-mentioned value corresponding to a type is inserted and completed to obtain W values, which may specifically include:

Determine the number of values W-w1 that need to be inserted, randomly extract the W-w1 group element values from the w1 values, each group of element values are adjacent to the 2 values in the w1 values, and calculate each of the W-w1 group element values The average value of the group element values, the average value of each group is inserted between the two element values of the corresponding group to obtain W values. The random insertion method can complete the data, and the random average insertion method is more suitable for the actual sampling data, so it has the advantage of improving the accuracy of the calculation results.

As an example, the above-mentioned filtering of a value corresponding to a type to obtain W values may specifically include:

Determine the number of values w1-W that need to be filtered, randomly select w1-W element values from the w1 values, and the w1-W element values are not adjacent to each other, delete the w1-W element values to obtain W value.

The filtering here also adopts a random method, but considering that if the data are all adjacent, the accuracy of the calculation results will be affected. Therefore, when performing random filtering, it is necessary to filter non-adjacent data to improve the calculation accuracy.

Embodiment one

The embodiment of the present application provides a risk control management method based on specific information calculation, as shown in FIG. 3 , a schematic flowchart of the method is shown in FIG. 3 , and the method of this embodiment is shown in FIG. 3 , including:

301. Another third-party device initiates a computing application.

In this embodiment, the third party includes the risk control system platform in the financial field, has actual risk control calculation requirements and the data information to be calculated has a unique identification field available, and the data information is a formatted data field.

302. The computing platform first performs permission verification according to the unique identifier of the incoming data information and permission information, and if the verification fails, it directly returns a prompt that there is no such computing permission, after the permission verification is passed.

303. Obtain the basic calculation index of the data according to the data identifier. At this time, it is necessary to call 304 to obtain the basic information of the data. If the basic information is empty, the calculation failure information will be fed back directly.

304. The business data platform obtains the required basic information from the database 305 according to the unique identification of the data information imported in 303, and assembles the message.

305. The database is used to store the basic information of the data. This information can be encrypted or stored in separate databases. At the same time, strict authority verification must be performed on the data requester, and data access records must be done.

306. The calculation model obtains the calculation model information submitted by the calculation initiator according to the basic calculation index, performs model calculation, and saves the calculation result.

307. Return the calculation result to the calculation initiator according to the calculation result in 306.

The specific information calculation platform needs to provide basic calculation indicators, which must have certain practical evaluation significance, and be universal and computable. It is convenient for the calculation initiator to reassemble and model configuration according to the provided basic calculation indicators. Moreover, the input content of the basic calculation index is the unique identification data information, and the output content is the qualitative calculation result representing a certain characteristic. This result cannot be directly expressed as the actual data quantitative attribute of the data to be calculated. The provision of basic calculation indicators needs to meet the principle of "data is available but not visible".

To sum up, it can be seen that first, the specific information computing platform is isolated from the internal and external networks to prevent the leakage of core data information in the event of an attack. The external network area is responsible for providing specific information computing services externally, and the internal network area is responsible for core data information storage and query services. . Secondly, the specific information computing platform provides the upgrade and maintenance of basic computing indicators, and provides the management function of specific information computing models externally, which facilitates the computing initiators to deploy their own required computing rules and logic, and also ensures the security requirements of data leaving the domain . The third specific information computing extranet area provides a permission verification function for service access, which facilitates the authentication of access requests and the management of microservices under high concurrency. Finally, the system has an information audit module, which realizes the audit work of all data information, timely discovers illegal call records and basic information leakage, and can better protect the security of data information.

Referring to Fig. 4, Fig. 4 is a schematic structural diagram of a wind control management system based on specific information calculation provided by the present application, and the system includes:

The communication unit is used to receive the unique identification information of the object to be risk controlled sent by the computing initiator;

An acquisition unit, configured to acquire data information corresponding to the unique identification information through a business data platform;

The calculation unit is used to calculate the data information according to the basic calculation indicators of the calculation platform to obtain the basic indicator results; input the basic indicator results into the preset calculation rule model for calculation to obtain the final calculation results, and return the final calculation results to Calculate the originator.

Exemplarily, the system further includes: a storage unit;

The storage unit is configured to store the data information, the calculation rule model used, and the returned calculation result.

Exemplarily, the system further includes: a judging unit,

The judging unit is configured to judge the authority level of the calculation initiator according to the unique identification information, and if the authority level is greater than a preset level, perform the step of obtaining the data information corresponding to the unique identification data through the business data platform, if If the permission level is lower than the preset level, a notification message that the calculation request has no permission is returned to the calculation initiator.

It can be understood that, in order to realize the above functions, the above device includes corresponding hardware and/or software modules for performing each function. Combining the algorithm steps of each example described in the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions in combination with the embodiments for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

In this embodiment, the functional modules of the electronic device may be divided according to the above method example. For example, each functional module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The above integrated modules may be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic, and is only a logical function division, and there may be other division methods in actual implementation.

It should be noted that all relevant content of the steps involved in the above method embodiments can be referred to the function description of the corresponding function module, and will not be repeated here.

In the case of an integrated unit, the user equipment may include a processing module and a storage module. Wherein, the processing module can be used to control and manage the actions of the user equipment, for example, can be used to support the electronic equipment to execute the steps performed by the acquisition unit, the communication unit, and the processing unit. The memory module can be used to support electronic devices to execute stored program codes and data, and the like.

Wherein, the processing module may be a processor or a controller. It can implement or execute the various illustrative logical blocks, modules and circuits described in connection with the present disclosure. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (digital signal processing, DSP) and a microprocessor, and the like. The storage module may be a memory. Specifically, the communication module may be a device that interacts with other electronic devices, such as a radio frequency circuit, a Bluetooth chip, and a Wi-Fi chip.

It can be understood that the interface connection relationship between modules shown in the embodiment of the present application is only a schematic illustration, and does not constitute a structural limitation on the user equipment. In other embodiments of the present application, the user equipment may also adopt different interface connection modes in the foregoing embodiments, or a combination of multiple interface connection modes.

Please refer to FIG. 5. FIG. 5 is an electronic device 50 provided by an embodiment of the present application. The electronic device 50 includes a processor 501, a memory 502, a communication interface 503, and a display screen 504. The interface 503 is connected to each other through a bus, and the display screen supplies power to the electronic device, and the electronic device may also include:

The memory 502 includes but is not limited to random access memory (random access memory, RAM), read-only memory (read-only memory, ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM), or portable Read-only memory (compact disc read-only memory, CD-ROM), the memory 502 is used for related computer programs and data. The communication interface 503 is used to receive and send data.

The processor 501 may be one or more central processing units (central processing units, CPUs). In a case where the processor 501 is a CPU, the CPU may be a single-core CPU or a multi-core CPU.

The processor 501 may include one or more processing units, for example: the processing unit may include an application processor (application processor, AP), a modem processor, a graphics processing unit (graphics processing unit, GPU), an image signal processor (image signal processor (ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural network processor (neural-network processing unit, NPU), etc. Wherein, different processing units may be independent components, or may be integrated in one or more processors. In some embodiments, the user equipment may also include one or more processing units. Wherein, the controller can generate an operation control signal according to the instruction operation code and the timing signal, and complete the control of fetching and executing the instruction. In some other embodiments, a memory may also be set in the processing unit for storing instructions and data. Exemplarily, the memory in the processing unit may be a cache memory. The memory can hold instructions or data that have just been used or recycled by the processing unit. If the processing unit needs to use the instruction or data again, it can be called directly from the memory. In this way, repeated access is avoided, and the waiting time of the processing unit is reduced, thereby improving the efficiency of the user equipment in processing data or executing instructions.

In some embodiments, processor 501 may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transmitter (universal asynchronous receiver/transmitter, UART) interface, mobile industry processor interface (mobile industry processor interface, MIPI), general-purpose input/output (general-purpose input/output, GPIO) interface, SIM card interface and/or USB interface, etc. Wherein, the USB interface is an interface conforming to the USB standard specification, specifically, it may be a Mini USB interface, a Micro USB interface, a USB Type C interface, and the like. The USB interface can be used to connect a charger to charge the user equipment, and can also be used to transmit data between the user equipment and peripheral equipment. This USB port can also be used to connect a headset and play audio through the headset.

If the electronic device 50 is a user device or a terminal device, such as a smart phone, a computer device, or a server, the processor 501 in the electronic device 50 is used to read the computer program code stored in the memory 502, and perform the following operations:

Receive the unique identification information of the risk control object sent by the computing initiator;

Obtain the data information corresponding to the unique identification information through the business data platform, and calculate the data information according to the basic calculation indicators of the calculation platform to obtain the basic indicator results;

The basic index result is input into the preset calculation rule model for calculation to obtain the final calculation result, and the final calculation result is returned to the calculation initiator.

Wherein, all the relevant content of each scenario involved in the above method embodiments can be referred to the description of the corresponding method embodiments, and will not be repeated here.

The embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is run on a network device, the method flow shown in FIG. 2 is realized.

The embodiment of the present application also provides a computer program product. When the computer program product is run on a terminal, the method flow shown in FIG. 2 is realized.

The embodiment of the present application also provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, the one or more programs are stored in the memory, and configured by the processor Execution, the program includes instructions for executing the steps in the method of the embodiment shown in FIG. 2 .

The foregoing mainly introduces the solutions of the embodiments of the present application from the perspective of executing the process on the method side. It can be understood that, in order to realize the above functions, the electronic device includes corresponding hardware structures and/or software templates for performing each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of the examples described in the embodiments provided herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software drives hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The embodiment of the present application may divide the electronic device into functional units according to the above method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units. It should be noted that the division of units in the embodiment of the present application is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

It should be noted that for the foregoing method embodiments, for the sake of simple description, they are expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described action sequence. Depending on the application, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification belong to preferred embodiments, and the actions and templates involved are not necessarily required by this application.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components can be combined or integrated. to another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical or other forms.

The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the above-mentioned integrated units are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory. Several instructions are included to make a computer device (which may be a personal computer, server or network device, etc.) execute all or part of the steps of the above-mentioned methods in various embodiments of the present application. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above-mentioned embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, and the memory can include: a flash disk , Read-only memory (English: Read-Only Memory, abbreviated: ROM), random access device (English: Random Access Memory, abbreviated: RAM), magnetic disk or optical disk, etc.

Claims (10)

1. A wind control management method based on specific information calculation, characterized in that the method comprises the following steps:

receiving unique identification information of an object to be wind controlled sent by a calculation initiator;

acquiring data information corresponding to the unique identification information through a service data platform, and calculating the data information according to calculation indexes of a calculation platform foundation to obtain a basic index result;

inputting the basic index result into a preset calculation rule model for calculation to obtain a final calculation result, and returning the final calculation result to a calculation initiator.

2. The method according to claim 1, wherein the method further comprises:

and storing the data information, the used calculation rule model and the returned calculation result.

3. The method according to claim 2, further comprising, before acquiring the data information corresponding to the unique identification data by the service data platform:

judging the authority level of the calculation initiator according to the unique identification information, if the authority level is greater than a preset level, executing the step of acquiring the data information corresponding to the unique identification data through the service data platform, and if the authority level is less than the preset level, returning a notification message of no authority of the calculation request to the calculation initiator.

4. The method according to claim 2, wherein the calculating the data information according to the calculation index of the calculation platform base to obtain the base index result specifically includes:

and extracting the first type of data from the data information, determining whether the first type of data accords with the calculation index, if so, reserving the first type of data, and if not, reserving the first type of data to obtain a partial basic index result, and traversing all types of data in the data information to obtain a complete basic index result.

5. The method according to claim 4, wherein the inputting the basic index result into a preset calculation rule model to calculate a final calculation result specifically includes:

and forming the basic index result into input data, inputting the input data into a preset calculation rule model for neural network operation to obtain an operation result, executing activation operation on the operation result to obtain an activation result, determining a first section corresponding to the activation result, and extracting a final calculation result corresponding to the first section.

6. A wind control management system based on specific information calculations, the system comprising:

the communication unit is used for receiving the unique identification information of the object to be winded and controlled sent by the calculation initiator;

the acquisition unit is used for acquiring the data information corresponding to the unique identification information through the service data platform;

the computing unit is used for computing the data information according to the computing index of the computing platform foundation to obtain a basic index result; inputting the basic index result into a preset calculation rule model for calculation to obtain a final calculation result, and returning the final calculation result to a calculation initiator.

7. The system of claim 6, wherein the system further comprises: a storage unit;

the storage unit is used for storing the data information, the used calculation rule model and the returned calculation result.

8. The system of claim 7, wherein the system further comprises: a judging unit for judging whether the current state of the current state is the current state,

the judging unit is used for judging the authority level of the calculation initiator according to the unique identification information, executing the step of acquiring the data information corresponding to the unique identification data through the service data platform if the authority level is greater than the preset level, and returning a notification message of no authority of the calculation request to the calculation initiator if the authority level is less than the preset level.

9. An electronic device comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps of the method of any of claims 1-5.

10. A computer readable storage medium having stored therein a computer program which, when run on a user equipment, performs the method of any of claims 1-5.

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