CN113742767B

CN113742767B - Information processing method, device and storage medium

Info

Publication number: CN113742767B
Application number: CN202010468787.XA
Authority: CN
Inventors: 周峰; 胡子付
Original assignee: Petal Cloud Technology Co Ltd
Current assignee: Huawei Device Co Ltd; Petal Cloud Technology Co Ltd
Priority date: 2020-05-28
Filing date: 2020-05-28
Publication date: 2024-11-15
Anticipated expiration: 2040-05-28
Also published as: CN113742767A

Abstract

The embodiment of the application provides an information processing method, an information processing device and a storage medium, wherein the method comprises the following steps: when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, a broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; and finally, the intelligent measuring instrument determines the attribution user of the measuring data according to the identification information. In the embodiment of the application, the intelligent measuring instrument obtains the identification information of the first terminal equipment through interaction with the first terminal equipment, and further determines the attribution user of the first terminal equipment, namely the attribution user of the measured data according to the identification information, so that leakage of personal sensitive data caused by human participation in confirmation of the measured data can be avoided, and the information safety is ensured.

Description

Information processing method, device and storage medium

Technical Field

Embodiments of the present application relate to communications technologies, and in particular, to an information processing method, an information processing device, and a storage medium.

Background

With the development of communication technology, intelligent instruments such as body fat scales are produced and widely used. Specifically, the behavior of a user using a body fat scale is typically measured on the body fat scale and the measurement data is viewed through a body fat scale Application (APP) installed in the cell phone. In practical applications, considering that the body fat scale is not a private device, there may be a plurality of users, so it is required that the body fat scale can identify the current user and explicitly assign the measurement data to the current user name.

In the prior art, for similar users, the body fat scale cannot identify which user the measurement data belongs to. For example, user a weighs 75 kg and user B weighs 76 kg, that is, user a and user B are similar users, and when user a uses the body fat scale, the body fat scale cannot identify whether the measurement data is attributed to user a or to user B. At this time, the body fat scale reports the measurement data and the related information of the user A and the user B to the server, and the server initiates a confirmation message to the mobile phone of the user A and the mobile phone of the user B, so that the user actively selects who to measure based on the confirmation message, presents the measurement data to the user confirming the measurement, and meanwhile, the server attributes the measurement data to the user name confirming the measurement according to the user selection. Wherein the acknowledgement message may carry part of the measurement data.

In the process of confirming the measurement, if the user B also confirms the measurement, the user B can see the measurement data of the user A, and the risk of leakage of personal sensitive data of the user A exists, so that the information security cannot be ensured.

Disclosure of Invention

The embodiment of the application provides an information processing method, an information processing device and a storage medium, which are used for avoiding risk of personal sensitive data leakage of a user and ensuring information security.

In a first aspect, an embodiment of the present application provides an information processing method, which is applied to an intelligent measurement instrument. The information processing method comprises the following steps: when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, a broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; and finally, the intelligent measuring instrument determines the attribution user of the measuring data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, and then the attribution user of the first terminal equipment, namely the attribution user of the measured data, is determined according to the identification information, so that leakage of personal sensitive data caused by artificial participation in confirmation of the measured data can be avoided, and information safety is ensured.

In one possible implementation manner, the number of the response messages is a plurality of, and the determining, by the intelligent measurement instrument, the home subscriber of the measurement data according to the identification information may include: the intelligent measuring instrument respectively determines the distance between the first terminal devices corresponding to the identification information, and determines the attribution user of the measured data according to the first terminal device with the minimum distance, wherein the first terminal device with the minimum distance belongs to the attribution user.

In a possible implementation manner, before the intelligent measuring apparatus determines the home subscriber of the measurement data according to the first terminal device with the minimum distance, the information processing method may further include: the intelligent measuring instrument determines that the minimum distance is less than or equal to the preset distance.

In a possible embodiment, the information processing method may further include: and if the minimum distance is determined to be greater than the preset distance, sending the measurement data and the identification information to the server so that the server determines the attribution user of the measurement data.

In one possible implementation manner, after the intelligent measuring apparatus determines the home subscriber of the measurement data according to the identification information, the information processing method may further include: and sending the measurement data and the information of the home subscriber to the server, so that the server updates the user information of the home subscriber according to the measurement data and sends the measurement data to the second terminal equipment of the home subscriber. By the embodiment, the real-time updating of the user information in the server and the display of the measurement data can be realized.

In one possible implementation manner, after determining the home subscriber of the measurement data according to the identification information, the intelligent measurement instrument further includes: the intelligent measuring instrument updates the user information of the home subscriber based on the measured data. By the embodiment, the user information in the intelligent measuring instrument can be updated in real time.

In a second aspect, an embodiment of the present application provides an information processing method, which is applied to an intelligent measurement instrument, including: when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, a broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; and finally, the intelligent measuring instrument sends the identification information and the measurement data to the server, so that the server determines the attribution user of the measurement data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, then sends the identification information and the measurement data to the server, and the server determines the attribution user of the first terminal equipment, namely the attribution user of the measurement data, according to the identification information, so that leakage of personal sensitive data caused by human participation in confirmation of the measurement data can be avoided, and information safety is ensured.

In a third aspect, an embodiment of the present application provides an information processing method, applied to a server, including: receiving measurement data sent by an intelligent measurement instrument and identification information of first terminal equipment, wherein the first terminal equipment is equipment responding to broadcast information, and the broadcast information is sent by the intelligent measurement instrument when a plurality of users corresponding to the measurement data are identified; and determining the attribution user of the measurement data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, then sends the identification information and the measurement data to the server, and the server determines the attribution user of the first terminal equipment, namely the attribution user of the measurement data, according to the identification information, so that leakage of personal sensitive data caused by human participation in confirmation of the measurement data can be avoided, and information safety is ensured.

In one possible implementation manner, the number of the response messages is a plurality, and the determining the home subscriber of the measurement data according to the identification information may include: determining the distance of the first terminal equipment corresponding to each piece of identification information; and determining the attribution user of the measurement data according to the first terminal equipment with the minimum distance, wherein the first terminal equipment with the minimum distance belongs to the attribution user.

In a possible implementation manner, before determining the home subscriber of the measurement data according to the first terminal device with the minimum distance, the information processing method may further include: and determining that the minimum distance is smaller than or equal to a preset distance.

In one possible implementation manner, the information processing method may further include: and if the minimum distance is determined to be larger than the preset distance, respectively sending a confirmation message to the second terminal equipment of the plurality of users so as to confirm the attribution user of the measurement data.

In one possible implementation manner, after determining the home subscriber of the measurement data according to the identification information, the information processing method may further include: and updating the user information corresponding to the home user based on the measurement data. By the embodiment, the real-time updating of the server user information can be realized.

In a fourth aspect, an embodiment of the present application provides an information processing apparatus applied to an intelligent measurement instrument, including: the processing module is used for triggering the sending module to send the broadcast message in a near field communication mode when a plurality of users corresponding to the measurement data are identified; the receiving module is used for receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; and the processing module is also used for determining the attribution user of the measurement data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, and then the attribution user of the first terminal equipment, namely the attribution user of the measured data, is determined according to the identification information, so that leakage of personal sensitive data caused by artificial participation in confirmation of the measured data can be avoided, and information safety is ensured.

In a possible implementation manner, the number of the response messages is multiple, and the processing module is specifically configured to, when executing the step of determining the attribution user of the measurement data according to the identification information, perform the following steps: determining the distance of the first terminal equipment corresponding to each piece of identification information; and determining the attribution user of the measurement data according to the first terminal equipment with the minimum distance, wherein the first terminal equipment with the minimum distance belongs to the attribution user.

In a possible implementation manner, the processing module is further configured to: before determining the home subscriber of the measurement data according to the first terminal device with the minimum distance, determining that the minimum distance is smaller than or equal to the preset distance.

In a possible implementation manner, the processing module is further configured to: and if the minimum distance is determined to be greater than the preset distance, triggering the sending module to send the measurement data and the identification information to the server so that the server determines the attribution user of the measurement data.

In a possible implementation manner, the sending module is further configured to: after the processing module determines the home subscriber of the measurement data according to the identification information, the measurement data and the information of the home subscriber are sent to the server, so that the server updates the user information of the home subscriber according to the measurement data, and sends the measurement data to the second terminal equipment of the home subscriber. By the embodiment, the real-time updating of the user information in the server and the display of the measurement data can be realized.

In a possible implementation manner, the processing module is further configured to: after the home subscriber of the measurement data is determined according to the identification information, the subscriber information of the home subscriber is updated based on the measurement data. By the embodiment, the user information in the intelligent measuring instrument can be updated in real time.

In a fifth aspect, an embodiment of the present application provides an information processing apparatus applied to an intelligent measurement instrument, including: the processing module is used for triggering the sending module to send the broadcast message in a near field communication mode when a plurality of users corresponding to the measurement data are identified; the receiving module is used for receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; and the sending module is also used for sending the identification information and the measurement data to the server so that the server determines the attribution user of the measurement data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, then sends the identification information and the measurement data to the server, and the server determines the attribution user of the first terminal equipment, namely the attribution user of the measurement data, according to the identification information, so that leakage of personal sensitive data caused by human participation in confirmation of the measurement data can be avoided, and information safety is ensured.

The information processing apparatus according to the fourth or fifth aspect may be an intelligent measuring apparatus or a chip usable in the intelligent measuring apparatus.

In a sixth aspect, an embodiment of the present application provides an information processing apparatus, applied to a server, including: the receiving module is used for receiving the measurement data sent by the intelligent measurement instrument and the identification information of the first terminal equipment, wherein the first terminal equipment is equipment responding to the broadcast message, and the broadcast message is sent by the intelligent measurement instrument when the intelligent measurement instrument identifies that the measurement data corresponds to a plurality of users; and the processing module is used for determining the attribution user of the measurement data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, then sends the identification information and the measurement data to the server, and the server determines the attribution user of the first terminal equipment, namely the attribution user of the measurement data, according to the identification information, so that leakage of personal sensitive data caused by human participation in confirmation of the measurement data can be avoided, and information safety is ensured.

In a possible implementation manner, the number of the response messages is multiple, and the processing module is specifically configured to: determining the distance of the first terminal equipment corresponding to each piece of identification information; and determining the attribution user of the measurement data according to the first terminal equipment with the minimum distance, wherein the first terminal equipment with the minimum distance belongs to the attribution user.

In a possible implementation manner, the processing module is further configured to: and if the minimum distance is determined to be larger than the preset distance, triggering the sending module to respectively send confirmation messages to the second terminal equipment of the plurality of users so as to confirm the attribution users of the measurement data.

In a possible implementation manner, the processing module is further configured to: after determining the attribution user of the measurement data according to the identification information, updating the user information corresponding to the attribution user based on the measurement data. By the embodiment, the real-time updating of the server user information can be realized.

In any of the above possible embodiments:

optionally, the first terminal device is a wearable device. Optionally, the second terminal device is a mobile phone.

Or the first terminal device and the second terminal device are mobile phones.

The information processing apparatus according to the sixth aspect may be a server or a chip usable for the server.

In a seventh aspect, an embodiment of the present application provides an information processing apparatus including: memory and a processor.

Wherein the memory has stored thereon a computer program executable by the processor;

the computer program, when read and executed by a processor, causes the processor to perform the method of any of the first or second or third aspects.

The information processing apparatus according to the seventh aspect may be a server or an intelligent measuring apparatus, or may be a chip usable for a server or an intelligent measuring apparatus.

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

a smart meter for performing the method of any of the embodiments of the first or second aspects;

and a server for performing the method of the third aspect.

In a ninth aspect, embodiments of the present application provide a computer readable storage medium storing a computer program, the computer program comprising at least one piece of code executable by a processor to implement a method according to embodiments of the present application in the first aspect, the second aspect, or the third aspect.

In a tenth aspect, embodiments of the present application provide a chip having a computer program stored thereon, which, when executed by a processor, performs a method according to an embodiment of the present application in the first aspect, the second aspect, or the third aspect.

In an eleventh aspect, embodiments of the present application provide a program which, when executed by a processor, performs a method according to the first or second or third aspect of embodiments of the present application.

These and other aspects of the application will be apparent from and elucidated with reference to the embodiment(s) described hereinafter.

Drawings

FIG. 1a is a diagram of an information handling system according to an embodiment of the present application;

FIG. 1b is a diagram of another example of an information handling system according to an embodiment of the present application;

FIG. 2 is a flowchart of an information processing method according to an embodiment of the present application;

Fig. 3 is a signaling interaction diagram of an information processing method according to another embodiment of the present application;

FIG. 4 is a flowchart of an information processing method according to another embodiment of the present application;

fig. 5 is a signaling interaction diagram of an information processing method according to another embodiment of the present application;

FIG. 6 is a schematic diagram of an information processing apparatus according to an embodiment of the present application;

Fig. 7 is a schematic structural diagram of an information processing apparatus according to another embodiment of the present application;

fig. 8 is a schematic structural view of an information processing apparatus according to another embodiment of the present application;

fig. 9 is a schematic structural diagram of an intelligent measuring apparatus according to an embodiment of the present application.

Detailed Description

It should be understood that the term "and/or" as used herein is merely one relationship describing the association of the associated objects, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone. "/" indicates a relationship of "or".

Because the body fat scale has a small screen, only measurement data such as body weight and body fat rate are generally displayed, but in actual measurement, the body fat scale can also generate measurement data related to other body indexes such as BMI, skeletal muscle mass, visceral fat mass, body type, basal metabolic rate, water content, bone salt mass, protein mass, muscle mass and the like, and the measurement data can be usually checked through the body fat scale APP installed in the mobile phone.

In practical application, the body fat scale can determine who a user is according to certain rules. For example, in a household, a father weight of 75 kg, a mother weight of 50 kg, a child weight of 20 kg, and a body fat scale can identify the current measurement user and explicitly assign the current measurement data to the current measurement user name. However, if the family has a member grandpa and the weight is 76 kg, the body fat scale cannot clearly judge whether the father belongs to the grandpa or the grandpa for 75 kg of the body weight, because the grandpa can measure 75 kg when the grandpa is likely to wear less clothes.

In order to automatically identify the current user on the body fat scale, user information is typically maintained in the body fat scale. The maintenance mode comprises manual maintenance and automatic maintenance. The manual maintenance means that when the body fat scale is initially used, a user manually inputs the weight or body fat information of the body fat scale; automatic maintenance refers to determining which user is measuring after the body fat scale is measuring, and updating the information of the user in the body fat scale. In general, if the body fat scale stores user information, the body fat scale can determine the user corresponding to the measurement when measuring.

Currently, body fat scales mainly determine to which user the current measurement data belongs according to body weight (e.g., deviation of plus or minus 2 kg) and body fat rate (e.g., deviation of plus or minus 3%). As in the above-mentioned father 75 kg, mother 50 kg, child 20 kg scenario, the body fat scale can accurately determine which user is measuring.

If the body fat scale cannot identify which user the measurement data belongs to, such as the scene of 75 kg of father and 76 kg of grandfather, the body fat scale reports the measurement data and the related information of the grandfather and father to the server, and the server initiates a confirmation message to the mobile phone of the grandfather and the mobile phone of the dad, so that the user actively selects who carries out the measurement, presents the measurement data to the user confirming the measurement, and simultaneously the server attributes the measurement data to the user name confirming the measurement according to the user selection. In the process of confirming measurement, if the grandpa and the father both confirm the measurement, the grandpa and the father can both see the measurement data, but obviously, the user currently being measured is the grandpa or the father, thus the personal sensitive data of the user currently being measured is leaked, and the information security cannot be ensured.

Based on the above, the embodiments of the present application provide an information processing method, an apparatus, and a storage medium, which automatically identify, by an intelligent measuring instrument or a server, a home user of measurement data for a scene where similar users exist, thereby avoiding leakage of personal sensitive data and ensuring information security.

The following explains some terms and application scenarios in the embodiments of the present application, so as to facilitate understanding by those skilled in the art:

Terminal equipment: the wireless terminal can be a wireless terminal or a wired terminal, and the wireless terminal can be equipment with a wireless receiving and transmitting function, can be deployed on land, and comprises an indoor or outdoor device, a handheld device or a vehicle-mounted device; can also be deployed on the water surface (such as ships, etc.); but may also be deployed in the air (e.g., on aircraft, balloon, satellite, etc.). The terminal device may be a mobile phone (mobile phone), a tablet (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal, an augmented reality (augmented reality, AR) terminal, a wireless terminal in industrial control (industrial control), a wireless terminal in unmanned (SELF DRIVING), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (SMART GRID), a wireless terminal in transportation security (transportation safety), a wireless terminal in smart city (SMART CITY), a wireless terminal in smart home (smart home), and the like, without limitation. It is to be appreciated that in embodiments of the present application, the terminal device may also be referred to as a User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a user terminal, a wireless communication device, a user agent, or a user equipment. By way of example, but not limitation, in embodiments of the present application, the terminal device may also be a wearable device.

Wearing equipment: the wearable intelligent device can be also called as wearable intelligent device, and is a generic name for intelligently designing daily wearing and developing wearable devices, such as glasses, gloves, watches, clothes, shoes and the like. The wearable device is a portable device that is worn directly on the body or integrated into the clothing or accessories of the user. The wearable device is not only a hardware device, but also can realize a powerful function through software support and data interaction and cloud interaction. The generalized wearable intelligent device includes full functionality, large size, and may not rely on the smart phone to implement complete or partial functionality, such as: smart watches or smart glasses, etc., and focus on only certain types of application functions, and need to be used in combination with other devices, such as smart phones, for example, various smart bracelets, smart jewelry, etc. for physical sign monitoring. For example, the smart wristband may collect data on the user's steps, calories, sleep, heart rate, etc.

It should be noted that, in the embodiment of the present application, the first terminal device and the second terminal device are just naming manners for distinguishing different terminal devices, and do not represent the order between the terminal devices. As an example and not by way of limitation, in the embodiment of the present application, the first terminal device may be a wearable device, and the second terminal device may be a terminal device having a display function, such as a mobile phone or the like; or the first terminal equipment is the same as the second terminal equipment and is a mobile phone.

Intelligent measuring instrument: for example a body fat scale, a device for collecting the weight/body fat of a user; or a sphygmomanometer, which is a device for collecting the blood pressure and heart rate of a user; or a blood glucose meter, a device for collecting blood glucose of a user, etc.

Sports health APP: user movement, health related data are presented. Such as presenting the number of steps, calories, sleep, heart rate data collected by the wearable device; presenting body weight and body fat data collected by a body fat scale; presenting blood glucose collected by a blood glucose meter, and so forth. The exercise health APP can be specifically a body fat balance APP or an intelligent sphygmomanometer APP and the like. Or the sports health APP integrates the functions of a plurality of APP such as a body fat scale APP and/or an intelligent sphygmomanometer APP.

Sports health cloud (body fat scale cloud): it is understood that a server maintains user information such as height, weight, age, which device information the user uses, and is a data repository for movement, health data generated by the devices used by the user, with relevant data generated by the user being persisted according to a user Identification (ID). The data may come from a wearable device, a separate body fat scale, a separate oximeter, a separate sphygmomanometer, etc.

Similar user: the method is characterized by comprising at least two users with close indexes in measurement data obtained through an intelligent measuring instrument. Taking measurement data obtained by a body fat scale as an example, a similar user refers to a user with similar weight; or taking the measurement data obtained by the sphygmomanometer as an example, the similar users refer to users with similar blood pressure values, and the like, and are not described in detail herein.

FIG. 1a is a diagram of an information handling system according to an embodiment of the present application. As shown in fig. 1a, the information processing system includes a body fat scale, a server, a smart watch and a mobile phone of a user a, and a smart watch and a mobile phone of a user B. The intelligent watch can be respectively communicated with the body fat scale and the mobile phone; the mobile phone is provided with the sports health APP, the user can view data acquired by the intelligent watch and measurement data obtained by measuring the body fat scale, and the measurement data is firstly uploaded to the server by the body fat scale and then is sent to the mobile phone by the server. In the illustration, the first terminal device is illustrated by taking a smart watch as an example, the second terminal device is illustrated by taking a mobile phone as an example, and the smart measuring instrument is illustrated by taking a body fat scale as an example, but the embodiment of the application is not limited thereto.

FIG. 1b is a diagram of another embodiment of an information handling system according to an embodiment of the present application. As shown in fig. 1B, the information processing system includes a body fat scale, a server, a mobile phone of a user a, and a mobile phone of a user B. The mobile phone is provided with a sports health APP, a user can check measurement data obtained by measuring the body fat scale through the sports health APP, and the measurement data is firstly uploaded to the server by the body fat scale and then is sent to the mobile phone by the server. In the illustration, the first terminal device and the second terminal device are illustrated by using the same mobile phone as an example, and the intelligent measuring instrument is illustrated by using a body fat scale as an example, but the embodiment of the application is not limited thereto.

Fig. 2 is a flowchart of an information processing method according to an embodiment of the present application. The embodiment of the application provides an information processing method which is applied to intelligent measuring instruments such as body fat scales and the like. As shown in fig. 2, the information processing method includes:

S201, identifying a plurality of users corresponding to the measurement data, and sending a broadcast message through a near field communication mode.

For similar users mentioned above, when one of the users performs measurement by the intelligent measurement instrument, the intelligent measurement instrument cannot identify to which user the currently measured measurement data is attributed, that is, the intelligent measurement instrument identifies that the measurement data corresponds to a plurality of users, at this time, the intelligent measurement instrument sends a broadcast message by means of Near Field Communication (NFC).

It will be appreciated that in any of the embodiments of the present application, the smart meter and the first terminal device are provided with a near field communication module to facilitate short range communication. Optionally, the near field communication manner may be based on at least one of the following technologies:

Radio frequency identification (radio frequency identification, RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, wireless fidelity (WIRELESS FIDELITY, wi-Fi) technology, and other technologies.

The intelligent measuring instrument sends a broadcast message in a near field communication mode, and at this time, the intelligent measuring instrument and the first terminal equipment are not really connected. Taking bluetooth technology as an example, when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, the intelligent measuring instrument triggers a near-field detection mechanism of the device, that is, sends a broadcast message through the bluetooth technology, and the process of sending the broadcast message can be understood as scannable non-directional broadcast, also known as discoverable broadcast, which cannot be used for initiating connection, but allows other devices to scan the intelligent measuring instrument. Namely, only the intelligent measuring instrument and the first terminal equipment are required to be found mutually, and the real connection between the intelligent measuring instrument and the first terminal equipment is not required to be established.

Correspondingly, the first terminal equipment detects that the intelligent measuring instrument sends a broadcast message, responds to the broadcast message and sends a response message to the intelligent measuring instrument. The response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries identification information of the first terminal equipment.

Next, the smart meter performs S202.

S202, receiving a response message sent by the first terminal equipment.

Specifically, the intelligent measuring instrument receives and analyzes the response message to obtain the identification information of the first terminal device carried in the response message. The identification information is, for example, a Media Access Control (MAC) address or a Serial Number (SN), etc.

S203, determining the attribution user of the measurement data according to the identification information.

In practical applications, the intelligent measuring apparatus stores user information, which includes, but is not limited to, user identification, identification information of devices belonging to the user, measurement data, and the like. Therefore, the intelligent measuring instrument can determine the user to which the first terminal equipment belongs through the identification information of the first terminal equipment and the stored user information thereof, and the user is the attribution user of the measuring data. Therefore, through the embodiment, the intelligent measuring instrument can accurately identify the home user of the measured data, other users similar to the home user can not receive the confirmation message any more, personal sensitive data such as the weight/body fat of the home user can not be seen, and information leakage can not be caused.

It will be appreciated by those skilled in the art that the user, who has measured the measurement data via the smart meter, wears the first terminal device, wherein the near field communication module of the first terminal device has been turned on.

According to the information processing method provided by the embodiment of the application, when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, a broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; and finally, the intelligent measuring instrument determines the attribution user of the measuring data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, and then the attribution user of the first terminal equipment, namely the attribution user of the measured data, is determined according to the identification information, so that leakage of personal sensitive data caused by artificial participation in confirmation of the measured data can be avoided, and information safety is ensured.

In addition, when the user participates in confirmation of the measurement data, the user may not confirm or confirm by mistake. Failure to confirm can result in loss of measurement data; false positives can cause other people to measure data that is also recorded under the user name. Moreover, compared with the prior art, through a simple matching rule that the weight deviation is plus or minus 2 kg and the body fat rate deviation is plus or minus 3%, the embodiment of the application can more accurately match the current measurement user through the first terminal equipment under the condition that the weights, the body fat rates and the like of a plurality of users are similar, and effectively reduces the situation that the measurement data cannot be accurately matched with the user.

In the above embodiment, for the intelligent measurement instrument to recognize that the measurement data corresponds to a plurality of users, the following cases exist in the correspondence relationship with the first terminal device:

In the first case, the current measurement user carries a first terminal device, and other users in the plurality of users are not present; or the current measurement user carries the first terminal device, and other users in the plurality of users do not carry the first terminal device. In this case, the intelligent measuring instrument recognizes the home user of the measurement data as the current measurement user.

And in the second case, the current measurement user carries the first terminal equipment, and other users in the plurality of users are present and carry the first terminal equipment. In this case, the intelligent measuring instrument needs to identify the home subscriber of the measured data further according to the distance between the intelligent measuring instrument and the first terminal device.

Specifically, the number of response messages received by the intelligent measurement instrument is a plurality of, that is, the number of first terminal devices carried by the presence user, and at this time, S203, determining, according to the identification information, the home subscriber of the measurement data may include: determining the distance of the first terminal equipment corresponding to each piece of identification information; and determining the attribution user of the measurement data according to the first terminal equipment with the minimum distance, wherein the first terminal equipment with the minimum distance belongs to the attribution user. By way of example, and not limitation, in embodiments of the present application, the distance of the smart meter from the first terminal device may be estimated by a Received Signal Strength Indication (RSSI) value.

It will be appreciated that the current measurement user's distance from the smart meter should be the smallest of all present users' distances from the smart meter.

And in the third case, the plurality of users do not carry the first terminal equipment. Under the condition that the intelligent measuring instrument cannot detect the first terminal equipment, the existing flow needs to be continued, namely the intelligent measuring instrument reports the measuring data and the user information of a plurality of users to the server, the server sends a confirmation message to the second terminal equipment of the plurality of users, the user actively selects who carries out the measurement, the measuring data is presented to the user confirming the measurement, and meanwhile, the server attributes the measuring data to the user name confirming the measurement according to the user selection.

And in the fourth case, the current measurement user does not carry the first terminal equipment, and other users in the plurality of users are present and carry the first terminal equipment. In this case, the intelligent measuring apparatus further determines the relationship between the minimum distance and the preset distance as described above. That is, before the intelligent measuring apparatus determines the home subscriber of the measurement data according to the first terminal device of the minimum distance, the information processing method further includes: and determining that the minimum distance is smaller than or equal to the preset distance. The specific value of the preset distance can be adjusted according to the actual situation, and the embodiment of the application is not limited.

Optionally, the above information processing method further includes: if the minimum distance is determined to be greater than the preset distance, the intelligent measuring instrument sends the measuring data and the identification information to the server so that the server can determine the attribution user of the measuring data.

It is understood that the first terminal device is considered to be inactive when the distance from the first terminal device to the intelligent measuring apparatus is greater than a preset distance.

For the fourth case, when the minimum distance between the first terminal device and the intelligent measuring instrument is smaller than or equal to the preset distance, the intelligent measuring instrument can count the measured data under other user names, and at this time, the current measuring user can retrieve the measured data through the data retrieving capability. For example, the current measurement user does not see the exercise health APP to display measurement data within a fixed period of time after measurement, the exercise health APP is already installed in the second terminal device, the second terminal device is owned by the current measurement user, then a button included in the data presentation interface in the exercise health APP is clicked, in response to the clicking operation, the second terminal device sends an instruction that the measurement data is not received to the server, and the server sends the measurement data to the current measurement user according to the instruction.

Fig. 3 is a signaling interaction diagram of an information processing method according to another embodiment of the present application. As shown in fig. 3, the information processing method may include the steps of:

S301, measuring a user by an intelligent measuring instrument to obtain measurement data.

S302, the intelligent measuring instrument compares the measured data with locally stored user information.

S303, the intelligent measuring instrument recognizes that the measured data corresponds to a plurality of users, and sends a broadcast message in a near field communication mode.

Correspondingly, the first terminal device detects the broadcast message and sends a response message.

S304, the intelligent measuring instrument receives the response message sent by the first terminal equipment.

S305, the intelligent measuring instrument determines the attribution user of the measured data according to the identification information.

S306, the intelligent measuring instrument sends the measured data and the information of the home subscriber to the server.

S307, the server updates the user information of the home subscriber according to the measurement data.

Wherein, the server stores user information.

S308, the server sends the measurement data to the second terminal equipment of the home subscriber.

And S309, the second terminal equipment displays the measurement data through the exercise health APP.

In this embodiment, the server backs up the user information and updates the user information in real time based on the measurement data to ensure the validity of the user information in the server. If the user information in the server is not updated, after the user loses weight or gains weight within a period of time, the measured data such as body weight or body fat contained in the user information is inconsistent with the actual situation of the user, so that the identification of the subsequent measured data is affected.

In some embodiments, after determining the home subscriber of the measurement data based on the identification information, the information processing method further comprises: based on the measurement data, the user information of the home subscriber is updated. Similarly, the user information stored in the intelligent measuring instrument is updated in real time, otherwise, when the user loses weight or gains weight within a period of time, the measured data such as body weight or body fat contained in the user information is inconsistent with the actual situation of the user, so that the identification of the subsequent measured data is affected.

The above embodiment is that the intelligent measuring instrument determines the home subscriber of the measurement data according to the identification information of the first terminal device, alternatively, the server may determine the home subscriber of the measurement data according to the identification information of the first terminal device, which is explained below in connection with fig. 4.

Fig. 4 is a flowchart of an information processing method according to another embodiment of the present application. As shown in fig. 4, the information processing method may include the steps of:

s401, the intelligent measuring instrument recognizes that the measured data corresponds to a plurality of users, and sends a broadcast message in a near field communication mode.

S402, the intelligent measuring instrument receives a response message sent by the first terminal equipment.

S403, the intelligent measuring instrument sends the identification information and the measurement data to the server, so that the server determines the attribution user of the measurement data according to the identification information.

This embodiment differs from the embodiment shown in fig. 2 in that: the main body of execution of the step of determining the home subscriber of the measurement data based on the identification information is different. Other descriptions may refer to the embodiment shown in fig. 2, and are not repeated here.

Corresponding to the embodiment flow shown in fig. 4, the server receives the measurement data sent by the intelligent measurement instrument and the identification information of the first terminal device, and determines the home subscriber of the measurement data according to the identification information.

For a specific implementation of the step of "the server determines the home subscriber of the measurement data according to the identification information", reference may be made to the description related to S203, which is not repeated here.

In the embodiment, when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, a broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, and the response message carries the identification information of the first terminal equipment; the intelligent measuring instrument sends the identification information and the measurement data to the server, and the server determines the attribution user of the measurement data according to the identification information. Through interaction with the first terminal equipment, the intelligent measuring instrument obtains the identification information of the first terminal equipment, and then the server determines the attribution user of the first terminal equipment, namely the attribution user of the measured data, according to the identification information, so that leakage of personal sensitive data caused by artificial participation in confirmation of the measured data can be avoided, and information safety is ensured.

In addition, similarly to the above-described embodiment, the server may further include, after determining the home subscriber of the measurement data based on the identification information: and the server updates the user information corresponding to the home user based on the measurement data.

Optionally, after determining the home subscriber of the measurement data according to the identification information, the server may further include: and sending the measurement data to the intelligent measuring instrument so that the intelligent measuring instrument updates the user information corresponding to the attribution user based on the measurement data, and realizing the backup of the measurement data in the intelligent measuring instrument.

Fig. 5 is a signaling interaction diagram of an information processing method according to another embodiment of the present application. As shown in fig. 5, the information processing method may include the steps of:

S501, the intelligent measuring instrument measures the user to obtain measurement data.

S502, the intelligent measuring instrument compares the measured data with locally stored user information.

S503, the intelligent measuring instrument recognizes that the measured data corresponds to a plurality of users, and sends a broadcast message in a near field communication mode.

S504, the intelligent measuring instrument receives the response message sent by the first terminal equipment.

S505, the intelligent measuring instrument sends the identification information and the measurement data to the server.

S506, the server determines the attribution user of the measurement data according to the identification information.

S507, the server updates the user information of the home subscriber according to the measurement data.

Wherein, the server stores user information.

S508, the server sends the measurement data to the second terminal equipment of the home subscriber.

And S509, the second terminal equipment displays measurement data through the exercise health APP.

In summary, according to the embodiment of the application, when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, a broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal equipment, thereby determining the attribution user of the measurement data by the intelligent measuring instrument or the server according to the identification information, and accurately associating the measurement of which user is carried out; in addition, when the attribution user of the measured data can be accurately determined, other similar users can not receive the confirmation message any more, so that the leakage of personal sensitive data can be avoided, and the information safety is ensured.

Any of the above embodiments may be implemented alone or in combination with at least two of the above embodiments, and is not limited thereto.

It will be appreciated that in the various embodiments described above, the operations and steps implemented by the terminal device (including the first terminal device and the second terminal device) may also be implemented by components (e.g., chips or circuits) that may be used in the terminal device, which are not limited by the embodiments of the present application. The operations and steps performed by the server may also be performed by components (e.g., chips or circuits) that may be used in a server, and embodiments of the application are not limited in this respect.

Fig. 6 is a schematic structural diagram of an information processing apparatus according to an embodiment of the present application. The information processing apparatus may be a smart measurement instrument, may be a component (e.g., an integrated circuit, a chip, etc.) of a smart measurement instrument, or may be other communication module for implementing the operations corresponding to the smart measurement instrument in any of the above embodiments. As shown in fig. 6, the information processing apparatus 70 of the present embodiment includes: a receiving module 71, a processing module 72 and a transmitting module 73. The information processing device 70 of the present embodiment can implement the scheme of the intelligent measuring apparatus in any implementation described above through the receiving module 71, the processing module 72 and the transmitting module 73, and its implementation principle and technical effects are similar, and will not be described here again.

Fig. 7 is a schematic structural diagram of an information processing apparatus according to another embodiment of the present application. The information processing apparatus provided in this embodiment may be a server, may be a component (for example, an integrated circuit, a chip, or the like) of the server, or may be other communication modules for implementing the operations corresponding to the server in any of the above embodiments. As shown in fig. 7, the information processing apparatus 80 of the present embodiment includes: a processing module 81 and a receiving module 82. The information processing apparatus 80 of the present embodiment may implement a server scheme in any implementation through the processing module 81 and the receiving module 82, and the implementation principle and technical effects are similar, and are not repeated here.

Fig. 8 is a schematic structural diagram of an information processing apparatus according to another embodiment of the present application. As shown in fig. 8, the information processing apparatus 90 according to the present embodiment may be the smart meter (or a component usable with the smart meter) or the server (or a component usable with the server) mentioned in the foregoing method embodiment. The information processing apparatus 90 may be used to implement the method described in the above method embodiments corresponding to the intelligent measuring instrument or the server, with particular reference to the description in the above method embodiments.

The information processing device 90 may include one or more processors 91, and the processors 91 may also be referred to as processing units, and may implement certain control or processing functions. The processor 91 may be a general purpose processor or a special purpose processor or the like. For example, a baseband processor, or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processor may be used to control the information processing apparatus 90, execute software programs, and process data of the software programs.

In one possible design, processor 91 may also have instructions 93 or data (e.g., intermediate data) stored therein. Wherein the instructions 93 may be executable by the processor 91 to cause the information processing apparatus 90 to perform the method described in the above method embodiments corresponding to the intelligent measuring instrument or server.

In yet another possible design, information processing device 90 may include circuitry that may perform the functions of transmitting or receiving or communicating in the foregoing method embodiments.

In one possible implementation, information processing device 90 may include one or more memories 92 on which instructions 94 may be stored that are executable on processor 91 to cause information processing device 90 to perform the methods described in the method embodiments above.

In one possible implementation, the memory 92 may also have data stored therein. The processor 91 and the memory 92 may be provided separately or may be integrated.

In one possible implementation, the information processing device 90 may also include a transceiver 95 and/or an antenna 96. The processor 91 may be referred to as a processing unit, and controls the information processing apparatus 90 (smart meter or server). The transceiver 95 may be referred to as a transceiver unit, a transceiver circuit, or a transceiver, etc. for implementing the transceiver function of the information processing apparatus 90.

In one design, if the information processing apparatus 90 is used to implement operations corresponding to the smart meter in the above embodiments, for example, the processor 91 may trigger the transceiver 95 to send a broadcast message by near field communication when identifying that the measurement data corresponds to multiple users. A response message sent by the first terminal device is received by the transceiver 95, the response message being used to characterize that the first terminal device detected the broadcast message, the response message carrying identification information of the first terminal device. The home subscriber of the measurement data is determined by the processor 91 based on the identification information.

Alternatively, in one design, if the information processing apparatus 90 is used to implement operations corresponding to the smart meter in the above embodiments, for example, the processor 91 may trigger the transceiver 95 to send a broadcast message through near field communication when identifying that the measurement data corresponds to multiple users. A response message sent by the first terminal device is received by the transceiver 95, the response message being used to characterize that the first terminal device detected the broadcast message, the response message carrying identification information of the first terminal device. And the transceiver 95 transmits the identification information and the measurement data to the server so that the server determines the home subscriber of the measurement data based on the identification information.

The specific implementation process of the processor 91 and the transceiver 95 may be referred to the related description of the above embodiments, which is not repeated herein.

In another design, if the information processing apparatus 90 is used to implement the operation corresponding to the server in the above embodiments, for example, the transceiver 95 may receive the measurement data sent by the intelligent measurement device and the identification information of the first terminal device, where the first terminal device is a device that responds to the broadcast message, and the broadcast message is sent by the intelligent measurement device when identifying that the measurement data corresponds to multiple users. The home subscriber of the measurement data is determined by the processor 91 based on the identification information.

The processor 91 and transceiver 95 described in the present application may be implemented on an integrated circuit (INTEGRATED CIRCUIT, IC), analog IC, radio frequency integrated circuit (radio frequency integrated circuit, RFIC), mixed signal IC, application SPECIFIC INTEGRATED Circuit (ASIC), printed circuit board (printed circuit board, PCB), electronic device, or the like. The processor and transceiver may also be fabricated using a variety of 1C process technologies, such as complementary metal oxide semiconductor (complementary metal oxide semiconductor, CMOS), N-type metal oxide semiconductor (nMetal-oxide-semiconductor, NMOS), P-type metal oxide semiconductor (PMOS), bipolar junction transistor (Bipolar Junction Transistor, BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), and the like.

Although in the above description of the embodiment, the information processing apparatus 90 is described taking a server or an intelligent measuring instrument as an example, the scope of the information processing apparatus described in the present application is not limited to the above-described intelligent measuring instrument or server, and the structure of the information processing apparatus 90 may not be limited by fig. 8. The information processing apparatus 90 may be a stand-alone device or may be part of a larger device. For example, the device may be:

(1) A stand-alone integrated circuit IC, or chip, or a system-on-a-chip or subsystem;

(2) Having a set of one or more ICs, which in one possible implementation may also include storage means for storing data and/or instructions;

(3) An ASIC, such as a modem (MSM);

(4) Modules that may be embedded within other devices;

(5) Receivers, wireless devices, mobile units, network devices, and the like;

(6) Others, and so on.

Fig. 9 is a schematic structural diagram of an intelligent measuring apparatus according to an embodiment of the present application. The intelligent measuring apparatus can be applied to the intelligent measuring apparatus described in the above embodiments of the present application. For ease of illustration, fig. 9 shows only the main components of the intelligent measuring apparatus. As shown in fig. 9, the smart meter 10 includes a processor, a memory, a control circuit, an antenna, and an input-output device. The processor is mainly used for processing the communication protocol and the communication data, controlling the whole intelligent measuring instrument, executing the software program and processing the data of the software program. The memory is mainly used for storing software programs and data. The radio frequency circuit is mainly used for converting a baseband signal and a radio frequency signal and processing the radio frequency signal. The antenna is mainly used for receiving and transmitting radio frequency signals in the form of electromagnetic waves. Input and output devices, such as touch screens, display screens, keyboards, etc., are mainly used for receiving data input by a user and outputting data to the user.

When the intelligent measuring apparatus 10 is turned on, the processor may read the software program in the storage unit, interpret and execute the instructions of the software program, and process the data of the software program. When data is required to be transmitted wirelessly, the processor carries out baseband processing on the data to be transmitted and then outputs a baseband signal to the radio frequency circuit, and the radio frequency circuit carries out radio frequency processing on the baseband signal and then transmits the radio frequency signal outwards in the form of electromagnetic waves through the antenna. When data is transmitted to the intelligent measuring apparatus 10, the radio frequency circuit receives a radio frequency signal through the antenna, converts the radio frequency signal into a baseband signal, and outputs the baseband signal to the processor, which converts the baseband signal into data and processes the data.

Those skilled in the art will appreciate that fig. 9 shows only one memory and processor for ease of illustration. In an actual terminal, there may be multiple processors and memories. The memory may also be referred to as a storage medium or storage device, etc., and embodiments of the present application are not limited in this respect.

As a possible implementation manner, the processor may include a baseband processor, which is mainly used for processing the communication protocol and the communication data, and a central processor, which is mainly used for controlling the whole terminal, executing a software program, and processing the data of the software program. The processor in fig. 9 integrates the functions of a baseband processor and a central processing unit, and those skilled in the art will appreciate that the baseband processor and the central processing unit may be separate processors, interconnected by bus technology, etc. Those skilled in the art will appreciate that the smart meter 10 may include multiple baseband processors to accommodate different network formats, and that the smart meter 10 may include multiple central processors to enhance its processing capabilities, and that the various components of the smart meter 10 may be connected by various buses. The baseband processor may also be expressed as a baseband processing circuit or a baseband processing chip. The central processing unit may also be expressed as a central processing circuit or a central processing chip. The function of processing the communication protocol and the communication data may be built in the processor, or may be stored in the storage unit in the form of a software program, which is executed by the processor to realize the baseband processing function.

In one example, the antenna and control circuit with the transceiver function may be regarded as the transceiver module 11 of the smart meter 10, and the processor with the processing function may be regarded as the processing module 12 of the smart meter 10. As shown in fig. 9, the intelligent measuring apparatus 10 includes a transceiver module 11 and a processing module 12. The transceiver module 11 may also be referred to as a transceiver, transceiver device, etc. In a possible implementation manner, the device for implementing the receiving function in the transceiver module 11 may be regarded as a receiving module, and the device for implementing the transmitting function in the transceiver module 11 may be regarded as a transmitting module, that is, the transceiver module 11 includes a receiving module and a transmitting module, where the receiving module may be referred to as a receiver, a receiving circuit, etc., and the transmitting module may be referred to as a transmitter, a transmitting circuit, etc.

The embodiment of the application also provides an information processing system, which can comprise: a server and one or more intelligent measuring instruments. The intelligent measuring apparatus may adopt the structure of the device embodiment shown in fig. 6, fig. 8 or fig. 9, and correspondingly, the technical scheme related to the intelligent measuring apparatus in any of the above method embodiments may be executed, and the implementation principle and the technical effect are similar, and are not repeated herein. The server may adopt the structure of the embodiment of the apparatus shown in fig. 7 or fig. 8, which correspondingly may execute the technical scheme related to the server of any of the method embodiments, and its implementation principle and technical effect are similar, and are not repeated here. Optionally, the information processing system may further comprise the first terminal device and/or the second terminal device as described above.

It should be noted that, in the embodiment of the present application, the division of the modules is schematic, which is merely a logic function division, and other division manners may be implemented in actual implementation. The functional modules in the embodiments of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.

The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, produces a flow or function in accordance with embodiments of the present application, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, for example, by wired (e.g., coaxial cable, optical fiber, digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, microwave, etc.). The computer readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains an integration of one or more available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid state disk Solid STATE DISK (SSD)), etc.

Claims

1. An information processing method is characterized by being applied to an intelligent measuring instrument and comprising the following steps:

Comparing the measurement data with user information, and sending a broadcast message in a near field communication mode under the condition that a plurality of users corresponding to the measurement data are identified, wherein the broadcast message is used for detecting the intelligent measuring instrument by the terminal equipment;

receiving a response message for the broadcast message sent by a first terminal device, wherein the response message is used for representing that the first terminal device detects the broadcast message, the response message carries identification information of the first terminal device, and the number of the response messages is multiple;

determining the distance of the first terminal equipment corresponding to each piece of identification information;

Determining a home subscriber of the measurement data according to a first terminal device with the minimum distance, wherein the first terminal device with the minimum distance belongs to the home subscriber;

And sending the measurement data and the information of the home subscriber to a server, so that the server updates the subscriber information of the home subscriber according to the measurement data and sends the measurement data to a second terminal device of the home subscriber.

2. The method according to claim 1, wherein before determining the home subscriber of the measurement data according to the first terminal device of the minimum distance, further comprises:

and determining that the minimum distance is smaller than or equal to a preset distance.

3. The method as recited in claim 2, further comprising:

And if the minimum distance is determined to be greater than the preset distance, sending the measurement data and the identification information to a server so that the server determines the attribution user of the measurement data.

4. A method according to any one of claims 1 to 3, characterized in that after determining the home subscriber of the measurement data, further comprising:

And updating the user information of the home subscriber based on the measurement data.

5. A method according to any one of claims 1 to 3, wherein the first terminal device is a wearable device.

6. An information processing method is characterized by being applied to an intelligent measuring instrument and comprising the following steps:

Comparing the measurement data with locally stored user information, and sending a broadcast message in a near field communication mode under the condition that a plurality of users corresponding to the measurement data are identified, wherein the broadcast message is used for detecting the intelligent measuring instrument by a terminal device;

And sending the identification information and the measurement data to a server so that the server respectively determines the distance between the first terminal devices corresponding to the identification information, determines the home subscriber of the measurement data according to the first terminal device with the minimum distance, updates the subscriber information of the home subscriber according to the measurement data, and sends the measurement data to the second terminal device of the home subscriber, wherein the first terminal device with the minimum distance belongs to the home subscriber.

7. The method of claim 6, wherein the first terminal device is a wearable device.

8. An information processing method, applied to a server, comprising:

Receiving measurement data sent by an intelligent measurement instrument and identification information of first terminal equipment, wherein the first terminal equipment is equipment for responding to a broadcast message, the broadcast message is sent when the intelligent measurement instrument compares the measurement data with locally stored user information and identifies that the measurement data corresponds to a plurality of users, the broadcast message is used for detecting the intelligent measurement instrument by the terminal equipment, and the number of the response messages is a plurality of;

And updating the user information of the home subscriber according to the measurement data, and sending the measurement data to a second terminal device of the home subscriber.

9. The method of claim 8, wherein prior to determining the home subscriber of the measurement data based on the minimum distance first terminal device, further comprising:

10. The method as recited in claim 9, further comprising:

and if the minimum distance is determined to be larger than the preset distance, respectively sending a confirmation message to the second terminal equipment of the plurality of users so as to confirm the attribution user of the measurement data.

11. The method according to any of claims 8 to 10, wherein the first terminal device is a wearable device.

12. An information processing apparatus, characterized by being applied to an intelligent measuring instrument, comprising:

The processing module is used for comparing the measurement data with the user information, and triggering the sending module to send a broadcast message in a near field communication mode under the condition that a plurality of users corresponding to the measurement data are identified, wherein the broadcast message is used for detecting the intelligent measuring instrument by the terminal equipment;

the receiving module is used for receiving a response message aiming at the broadcast message, which is sent by the first terminal equipment, wherein the response message is used for representing that the first terminal equipment detects the broadcast message, the response message carries the identification information of the first terminal equipment, and the number of the response messages is a plurality of;

the processing module is further used for respectively determining the distance between the first terminal devices corresponding to the identification information;

and the sending module is used for sending the measurement data and the information of the home subscriber to a server so that the server updates the subscriber information of the home subscriber according to the measurement data and sends the measurement data to the second terminal equipment of the home subscriber.

13. The apparatus of claim 12, wherein the processing module is further configured to:

and before the first terminal equipment according to the minimum distance determines the home subscriber of the measurement data, determining that the minimum distance is smaller than or equal to a preset distance.

14. The apparatus of claim 12 or 13, wherein the processing module is further configured to:

after determining the home subscriber of the measurement data, updating the subscriber information of the home subscriber based on the measurement data.

15. An information processing apparatus, characterized by being applied to an intelligent measuring instrument, comprising:

the processing module is used for comparing the measurement data with the locally stored user information, and triggering the sending module to send a broadcast message in a near field communication mode under the condition that a plurality of users corresponding to the measurement data are identified, wherein the broadcast message is used for detecting the intelligent measuring instrument by the terminal equipment;

The sending module is further configured to send the identification information and the measurement data to a server, so that the server determines a distance between first terminal devices corresponding to the identification information respectively, determines a home subscriber of the measurement data according to a first terminal device with a minimum distance, updates user information of the home subscriber according to the measurement data, and sends the measurement data to a second terminal device of the home subscriber, where the first terminal device with the minimum distance belongs to the home subscriber.

16. An information processing apparatus, characterized by being applied to a server, comprising:

The system comprises a receiving module, a first terminal device and a second terminal device, wherein the receiving module is used for receiving measurement data sent by an intelligent measuring instrument and identification information of the first terminal device, the first terminal device is a device for responding to a broadcast message, the broadcast message is used for comparing the measurement data with locally stored user information by the intelligent measuring instrument and sending the measurement data under the condition that a plurality of users corresponding to the measurement data are identified, the broadcast message is used for detecting the intelligent measuring instrument by the terminal device, and the number of the response messages is a plurality of;

The processing module is used for respectively determining the distance between the first terminal devices corresponding to the identification information;

Updating the user information of the home subscriber according to the measurement data;

and the sending module is used for sending the measurement data to the second terminal equipment of the home subscriber.

17. An information processing apparatus, characterized by comprising:

a memory and a processor; wherein the memory has stored thereon a computer program executable by the processor;

the computer program, when read and executed by the processor, causes the processor to perform the method of any one of claims 1 to 11.

18. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program comprising at least one piece of code executable by a processor for implementing the method according to any one of claims 1 to 11.