CN113742767A

CN113742767A - Information processing method, device and storage medium

Info

Publication number: CN113742767A
Application number: CN202010468787.XA
Authority: CN
Inventors: 周峰; 胡子付
Original assignee: Huawei Technologies 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: 2021-12-03

Abstract

An 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 correspond to a plurality of users, the broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries identification information of the first terminal device; and finally, the intelligent measuring instrument determines the attributive user of the measured data according to the identification information. In the embodiment of the application, through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then determines the home subscriber of the first terminal device, namely the home subscriber 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.

Description

Information processing method, device and storage medium

Technical Field

The present disclosure relates to communications technologies, and in particular, to an information processing method, an information processing apparatus, and a storage medium.

Background

With the development of communication technology, intelligent instruments such as a body fat scale are produced and widely used. Specifically, the user's actions of using the body fat scale measurement are usually measured on the body fat scale, and the measurement data is viewed through an installed body fat scale Application (APP) in the mobile phone. In practical applications, considering that the body fat scale is not a private device, there may be multiple users, and therefore, the body fat scale is required to be able to identify the current user and explicitly put the measured data under the name of the current user.

In the prior art, for similar users, the body fat scale cannot identify which user the measurement data belongs to. For example, when the user a weighs 75 kg and the user B weighs 76 kg, that is, the user a and the user B are similar users, the body fat scale cannot identify whether the measurement data is the home user a or the home user B. At the moment, the body fat scale reports the measurement data and the related information of the user A and the user B to the server, 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 carries out the measurement based on the confirmation message, the measurement data is presented to the user who confirms the measurement, and meanwhile, the server belongs the measurement data to the user name of the confirmed 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 at this time, and the risk of leakage of the personal sensitive data of the user a exists, so that the information safety cannot be ensured.

Disclosure of Invention

The embodiment of the application provides an information processing method, an information processing device and a storage medium, so that the risk of leakage of personal sensitive data of a user is avoided, and the information safety is ensured.

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 includes: when the intelligent measuring instrument identifies that the measured data correspond to a plurality of users, the broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries identification information of the first terminal device; and finally, the intelligent measuring instrument determines the attributive user of the measured data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then determines the attribution user of the first terminal device, 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 a possible implementation manner, the number of the response messages is multiple, and the determining, by the intelligent measurement instrument, the home user of the measurement data according to the identification information may include: and the intelligent measuring instrument respectively determines the distance of the first terminal equipment corresponding to each identification information, and determines the attribution user of the measured 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 the intelligent measurement instrument 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 a preset distance.

In one possible implementation, the information processing method may further include: and if the minimum distance is larger than the preset distance, sending the measurement data and the identification information to the server so that the server determines the home subscriber of the measurement data.

In a possible implementation manner, after the intelligent measurement instrument 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 a possible implementation manner, after determining the home subscriber of the measurement data according to the identification information, the intelligent measurement instrument further includes: and the intelligent measuring instrument updates the user information of the attributive user based on the measurement 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, and includes: when the intelligent measuring instrument identifies that the measured data correspond to a plurality of users, the broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries identification information of the first terminal device; and finally, the intelligent measuring instrument sends the identification information and the measured data to the server so that the server determines the home subscriber of the measured data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then sends the identification information and the measured data to the server, and the server determines the home subscriber of the first terminal device, namely the home subscriber 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 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 messages, and the broadcast messages are sent when the intelligent measurement instrument identifies that the measurement data correspond to a plurality of users; and determining the home subscriber of the measurement data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then sends the identification information and the measured data to the server, and the server determines the home subscriber of the first terminal device, namely the home subscriber 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 a possible embodiment, the determining the home subscriber of the measurement data according to the identification information includes: respectively determining the distance of the first terminal equipment corresponding to each 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 subscriber to which the measurement data belongs according to the first terminal device with the minimum distance, the information processing method may further include: determining that the minimum distance is less than or equal to a preset distance.

In one possible implementation, the information processing method may further include: and if the minimum distance is determined to be greater than the preset distance, respectively sending confirmation messages to second terminal equipment of the plurality of users so as to confirm the home subscriber of the measurement data.

In a 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 subscriber 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, which is applied to an intelligent measurement instrument, and includes: the processing module is used for triggering the sending module to send the broadcast message in a near field communication mode when the 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 device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries the identification information of the first terminal device; and the processing module is also used for determining the attributive user of the measurement data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then determines the attribution user of the first terminal device, 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 a possible embodiment, the number of the response messages is multiple, and when the processing module executes the step of determining the home subscriber of the measurement data according to the identification information, the processing module is specifically configured to: respectively determining the distance of the first terminal equipment corresponding to each identification information; and determining the home subscriber 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 home subscriber.

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

In one possible embodiment, the processing module is further configured to: and if the minimum distance is larger than the preset distance, triggering a sending module to send the measurement data and the identification information to the server so that the server determines the home subscriber of the measurement data.

In a possible implementation, 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 processing module sends 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 embodiment, the processing module is further configured to: and after determining the home subscriber of the measurement data according to the identification information, updating the subscriber information of the home subscriber 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, which is applied to an intelligent measurement instrument, and includes: the processing module is used for triggering the sending module to send the broadcast message in a near field communication mode when the 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 device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries the identification information of the first terminal device; 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 home subscriber of the measurement data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then sends the identification information and the measured data to the server, and the server determines the home subscriber of the first terminal device, namely the home subscriber 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.

The information processing apparatus according to the fourth or fifth aspect may be an intelligent measurement instrument, or may be a chip usable for an intelligent measurement instrument.

In a sixth aspect, an embodiment of the present application provides an information processing apparatus, which is applied to a server, and includes: 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, 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 attributive user of the measurement data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then sends the identification information and the measured data to the server, and the server determines the home subscriber of the first terminal device, namely the home subscriber 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 a possible implementation manner, the number of the response messages is multiple, and the processing module is specifically configured to: respectively determining the distance of the first terminal equipment corresponding to each identification information; and determining the home subscriber 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 home subscriber.

In one possible embodiment, 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 respectively send confirmation messages to second terminal equipment of the plurality of users so as to confirm the home subscriber of the measured data.

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

In any one of the possible embodiments above:

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 both mobile phones.

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

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

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

when the computer program is read and executed by a processor, the processor is caused to perform a method as set forth in any of the first, second or third aspects.

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

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

a smart measurement instrument for performing the method of any one of the embodiments of the first or second aspect;

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

In a ninth aspect, this application provides a computer-readable storage medium, which stores a computer program, where the computer program includes at least one piece of code, and the at least one piece of code is executable by a processor to implement the method according to the first aspect, the second aspect, or the third aspect.

In a tenth aspect, an embodiment of the present application provides a chip, on which a computer program is stored, and when the computer program is executed by a processor, the method according to the embodiment of the present application in the first aspect, the second aspect, or the third aspect is performed.

In an eleventh aspect, this application provides a program which, when executed by a processor, performs the method according to the first aspect, the second aspect, or the third aspect.

These and other aspects of the present application will be more readily apparent from the following description of the embodiment(s).

Drawings

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

FIG. 1b is a diagram of another example of an information handling system provided by 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 structural 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 diagram of an information processing apparatus according to yet another embodiment of the present application;

fig. 9 is a schematic structural diagram of an intelligent measurement instrument 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 type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. "/" indicates a relationship of "or".

Because the screen of the body fat scale is small, only measurement data such as body weight, body fat rate and the like are generally displayed, but in actual measurement, the body fat scale also generates 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 generally viewed through a body fat scale APP installed in a mobile phone.

In practical application, the body fat scale can determine who the user is according to certain rule. For example, in a family, the father weighs 75 kg, the mother weighs 50 kg, the child weighs 20 kg, and the body fat scale can identify the current measuring user and explicitly put the current measuring data under the name of the current measuring user. However, if there are also members in the family like, 76 kilograms of weight, then the body fat balance can't clearly judge whether belong to father or grandfather to 75 kilograms of weight because also 75 kilograms when grandfather probably worn a piece of clothes to measure seldom.

It should be noted that, in order to be able to automatically identify the current user on the body fat scale, user information is generally 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 user in the body fat scale; automatic maintenance means that after the body fat scale is measured, it is determined which user is measuring, and information of the user in the body fat scale is updated. 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, a body fat scale mainly determines to which user the current measurement data belongs based on the body weight (e.g., plus or minus 2 kg deviation) and the body fat rate (e.g., plus or minus 3% deviation). As in the scenario of 75 kg father, 50 kg mother, and 20 kg child, the body fat scale can accurately determine which user is measuring.

If the body fat balance can not identify which user the measurement data belongs to, like the scene of father 75 kilograms, grandpa 76 kilograms, then the body fat balance reports the measurement data and the relevant information of grandpa, grandpa to the server, initiate the cell-phone that confirms the message for grandpa and grandpa by the server, let the user initiatively choose who goes on the measurement, and present the measurement data for confirming the measuring user, the server belongs to the user name of confirming the measurement with the measurement data according to the user selection simultaneously. This confirm measured in-process, if grandpa and father all confirm the measurement, grandpa and father just can all see measured data, but obviously, the user that is measuring at present is grandpa or father, just so leads to current measurement user's personal sensitive data to reveal, can't guarantee information security.

Based on the above, embodiments of the present application provide an information processing method, an information processing apparatus, and a storage medium, which are used for automatically identifying a user to whom measurement data belongs through an intelligent measurement apparatus or a server in a scene in which similar users exist, so as to avoid leakage of personal sensitive data and ensure information security.

In the following, some terms and application scenarios in the embodiments of the present application are explained to facilitate understanding of those skilled in the art:

the terminal equipment: the wireless terminal can be a wireless terminal or a wired terminal, and the wireless terminal can be a device with a wireless transceiving function, can be deployed on land, and comprises indoor or outdoor, handheld or vehicle-mounted; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, balloons, satellites, etc.). The terminal device may be a mobile phone (mobile phone), a tablet computer (Pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal, an Augmented Reality (AR) terminal, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like, which are not limited herein. It is understood that in the embodiments of the present application, a 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 and not limitation, in the embodiments of the present application, the terminal device may also be a wearable device.

Wearing equipment: the wearable intelligent device can be intelligently designed and developed by applying a wearable technology, and can be a general term for wearable devices such as glasses, gloves, watches, clothes, shoes and the like. The wearable device is either worn directly on the body or is a portable device that is integrated into the user's clothing or accessories. The wearable device is not only a hardware device, but also realizes powerful functions through software support, data interaction and cloud interaction. The generalized wearable smart device includes full functionality, large size, and can implement full or partial functionality without relying on a smart phone, such as: smart watches or smart glasses and the like, and only focus on a certain type of application functions, and need to be used in cooperation with other devices such as smart phones, such as various smart bracelets for physical sign monitoring, smart jewelry and the like. Illustratively, the smart band 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, where the first terminal device and the second terminal device are only named ways for distinguishing different terminal devices, and do not represent an order between the terminal devices. By way of example and not 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 with a display function, such as a mobile phone; or the first terminal device is the same as the second terminal device and is a mobile phone.

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

Exercise health APP: presenting user motion, health related data. Such as presenting step count, calories, sleep, heart rate data collected by the wearable device; presenting weight and body fat data collected by a body fat scale; presenting blood glucose collected by a blood glucose meter, and so on. The exercise health APP can be a body fat scale APP or an intelligent sphygmomanometer APP and the like. Or the exercise health APP integrates the functions of a plurality of APPs such as a body fat scale APP and/or an intelligent sphygmomanometer APP.

Exercise health cloud (including body fat balance cloud): it is understood that the server stores user information such as height, weight, age, information about which devices the user uses, and motion and health data generated by the devices used by the user, and persists relevant data generated by the user based on the user Identification (ID). The data may come from a wearable device, a separate body fat scale, a separate oximeter, a separate sphygmomanometer, etc.

Similar users: the method refers to at least two users with a certain index close to the index in the measurement data obtained by the intelligent measurement instrument. For example, taking the measurement data obtained by the body fat scale as an example, the similar users refer to users with similar weights; or, taking the measurement data obtained by the sphygmomanometer as an example, the similar user refers to a user with a similar blood pressure value, and so on, which are not described in detail here.

Fig. 1a is a diagram of an example of an information processing 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 user a, and a smart watch and a mobile phone of user B. The intelligent watch can be communicated with the body fat scale and the mobile phone respectively; install the healthy APP of motion in the cell-phone, the user accessible it looks over the data that the smart watch gathered and the user passes through the measured data that obtains of body fat balance, and this measured data is by the first upload of body fat balance to the server, then send for the cell-phone by the server. In this figure, the first terminal device is described by taking a smart watch as an example, the second terminal device is described by taking a mobile phone as an example, and the intelligent measurement instrument is described by taking a body fat scale as an example, but the embodiment of the present application is not limited thereto.

Fig. 1b is a diagram of another example of an information processing 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 user a, a mobile phone of user B. Wherein, install the healthy APP of motion in the cell-phone, the measurement data that this user obtained through body fat balance measurement is looked over to the healthy APP of user's accessible motion, and this measurement data is by body fat balance first upload to server, then send for the cell-phone by the server. In the figure, the first terminal device and the second terminal device are illustrated by taking the same mobile phone as an example, and the intelligent measurement instrument is illustrated by taking a body fat scale as an example, but the embodiment of the present 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 a body fat scale. As shown in fig. 2, the information processing method includes:

s201, identifying that the measurement data correspond to a plurality of users, and sending broadcast messages in a near field communication mode.

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

It is to be appreciated that in any of the embodiments of the present application, near field communication modules are provided in both the smart measurement instrument and the first terminal device to facilitate short range communication. Optionally, the near field communication mode may be based on at least one of the following technologies:

radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, wireless fidelity (Wi-Fi) technology, and other technologies.

The intelligent measuring instrument sends the broadcast message in a near field communication mode, and at the moment, the intelligent measuring instrument is not really connected with the first terminal equipment. Taking bluetooth technology as an example, when the intelligent measurement instrument recognizes that measurement data corresponds to multiple users, the intelligent measurement instrument triggers a device near-field detection mechanism, that is, a broadcast message is sent through bluetooth technology, and the process of sending the broadcast message can be understood as scannable non-directional broadcast, also called discovery broadcast, which cannot be used for initiating a connection but allows other devices to scan the intelligent measurement instrument. That is, only the intelligent measuring instrument and the first terminal device need to discover each other, and no real connection needs to be established between the intelligent measuring instrument and the first terminal device.

Correspondingly, the first terminal device detects that the intelligent measuring instrument sends the 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 device detects the broadcast message, and the response message carries the identification information of the first terminal device.

Next, the smart measurement instrument performs S202.

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

Specifically, the intelligent measurement 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).

S203, determining the home subscriber of the measurement data according to the identification information.

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

Those skilled in the art will appreciate that the user, who obtains the measurement data through measurement by the smart measurement instrument, wears the first terminal device, wherein the near field communication module of the first terminal device is 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 correspond to a plurality of users, the broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries identification information of the first terminal device; and finally, the intelligent measuring instrument determines the attributive user of the measured data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then determines the attribution user of the first terminal device, 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, when the user is involved in the confirmation of the measurement data by a human, the user may not confirm or erroneously confirm. Lack of acknowledgement can result in loss of measurement data; false confirmation can cause data measured by others to be recorded under the name of the user. Moreover, compared with the simple matching rule that the weight deviation is plus or minus 2 kilograms and the body fat rate deviation is plus or minus 3 percent in the prior art, the embodiment of the application can be used for more accurately matching the current measurement user by associating the first terminal equipment under the condition that the weight, the body fat rate and the like of a plurality of users are similar, so that the condition that the user cannot be accurately matched with the measurement data is effectively reduced.

In the above embodiment, for the intelligent measurement instrument to identify that the measurement data corresponds to multiple users, the following situations exist in the correspondence relationship between the measurement data and the first terminal device:

in the first situation, a current measurement user carries a first terminal device, and other users in a plurality of users are absent; 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 measurement instrument identifies the home user of the measurement data as the current measurement user.

And in the second situation, 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 measurement instrument needs to further identify the home subscriber of the measurement data according to the distance between the intelligent measurement instrument and the first terminal device.

Specifically, the number of the response messages received by the intelligent measurement instrument is multiple, that is, the number of the first terminal devices carried by the presence user, at this time, S203 determines the home user of the measurement data according to the identification information, and may include: respectively determining the distance of the first terminal equipment corresponding to each identification information; and determining the home subscriber 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 home subscriber. By way of example and not limitation, in the embodiment of the present application, the distance between the smart measurement instrument and the first terminal device may be estimated through a Received Signal Strength Indication (RSSI) value.

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

And in case three, a plurality of users do not carry the first terminal equipment. Under the condition, the intelligent measuring instrument cannot detect the first terminal equipment, and the existing process needs to be continued, namely, the intelligent measuring instrument reports the measurement 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, so that the users can actively select who carries out the measurement, the measurement data is presented to the users who confirm the measurement, and meanwhile, the server belongs the measurement data to the user name which confirms the measurement according to the user selection.

And in case four, the current measurement user does not carry the first terminal device, and other users in the plurality of users are present and carry the first terminal device. In this case, the intelligent measurement instrument needs to further determine the relationship between the minimum distance and the preset distance as described above. That is, before the intelligent measurement instrument determines the subscriber to which the measurement data belongs according to the first terminal device of the minimum distance, the information processing method further includes: determining that the minimum distance is less than or equal to a preset distance. The specific value of the preset distance can be adjusted according to actual conditions, and the embodiment of the application is not limited.

Optionally, the information processing method further includes: and if the minimum distance is larger than the preset distance, the intelligent measuring instrument sends the measured data and the identification information to the server so that the server determines the home subscriber of the measured data.

It can be understood that the first terminal device is considered to be invalid when the distance between the first terminal device and the intelligent measuring instrument is greater than the preset distance.

For the fourth case, when the minimum distance between the first terminal device and the intelligent measurement instrument is less than or equal to the preset distance, the intelligent measurement instrument can record the measurement data into other user names, and at the moment, the current measurement user can retrieve the test data through the data retrieval capability. For example, the current measurement user does not see the exercise health APP to display the measurement data within a fixed 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, a button included in a data presentation interface in the exercise health APP is clicked, in response to the click 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, the intelligent measuring instrument measures the user to obtain measuring data.

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

And S303, the intelligent measuring instrument identifies a plurality of users corresponding to the measured data and sends the 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 device.

S305, the intelligent measuring instrument determines the home subscriber 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.

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

In the embodiment, the server backs up the user information and updates the user information in real time based on the measurement data so as 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 for a period of time, the measurement data such as the weight or the body fat contained in the user information is inconsistent with the actual situation of the user, so that the identification of the subsequent measurement data is influenced.

In some embodiments, after determining the home subscriber of the measurement data based on the identification information, the information processing method further includes: 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, after the user loses weight or gains weight for a period of time, the measured data such as the weight or the body fat contained in the user information is inconsistent with the actual condition of the user, so that the identification of the subsequent measured data is influenced.

The foregoing embodiment is that the intelligent measurement instrument determines the home subscriber of the measurement data according to the identification information of the first terminal device, alternatively, the server may also determine the home subscriber of the measurement data according to the identification information of the first terminal device, which is explained below with reference to 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 identifies a plurality of users corresponding to the measured data and sends broadcast messages in a near field communication mode.

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

And S403, the intelligent measuring instrument sends the identification information and the measuring data to the server, so that the server determines the home subscriber of the measuring data according to the identification information.

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

Corresponding to the flow of the embodiment 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 determining, by the server, the home subscriber of the measurement data according to the identification information, reference may be made to the related description of S203, which is not described herein again.

In the embodiment, when the intelligent measuring instrument identifies that the measured data corresponds to a plurality of users, the broadcast message is sent in a near field communication mode; then receiving a response message sent by the first terminal device, wherein the response message is used for representing that the first terminal device detects the broadcast message, and the response message carries identification information of the first terminal device; the intelligent measuring instrument sends the identification information and the measured data to the server, and the server determines the attributive user of the measured data according to the identification information. Through interaction with the first terminal device, the intelligent measuring instrument obtains the identification information of the first terminal device, and then the server determines the home subscriber of the first terminal device, namely the home subscriber 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, similar to the above-described embodiment, after the server determines the home subscriber of the measurement data based on the identification information, the information processing method may further include: and the server updates the user information corresponding to the home subscriber based on the measurement data.

Optionally, after the server 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 to the intelligent measurement instrument so that the intelligent measurement instrument updates the user information corresponding to the attributive user based on the measurement data, and realizing the backup of the measurement data in the intelligent measurement 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 measuring data.

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

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

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

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

S506, the server determines the home subscriber of the measurement data according to the identification information.

And 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 device of the home subscriber.

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

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

It should be noted that any of the above embodiments may be implemented alone, or at least two of the above embodiments may be implemented in any combination, which is not limited to this.

It is to be understood that, in the foregoing embodiments, the operations and steps implemented by the terminal device (including the first terminal device and the second terminal device) may also be implemented by a component (e.g., a chip or a circuit) applicable to the terminal device, which is not limited in this application. The operations and steps implemented by the server may also be implemented by a component (e.g., a chip or a circuit) applicable to the server, which is not limited in this application.

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 an intelligent measurement instrument, or may be a component (e.g., an integrated circuit, a chip, etc.) of the intelligent measurement instrument, or may be another communication module for implementing the operation corresponding to the intelligent 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 apparatus 70 of this embodiment can implement any of the above-described schemes of implementing the intelligent measurement instrument through the receiving module 71, the processing module 72 and the sending module 73, and the implementation principle and the technical effect are similar, which are not described herein 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, or may also be a component (e.g., an integrated circuit, a chip, or the like) of the server, or may be another communication module, which is used to implement the operation 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 this embodiment can implement the solution of the server in any of the above implementations through the processing module 81 and the receiving module 82, and the implementation principle and the technical effect are similar, and are not described herein again.

Fig. 8 is a schematic structural diagram of an information processing apparatus according to yet another embodiment of the present application. As shown in fig. 8, the information processing apparatus 90 according to the present embodiment may be the intelligent measurement instrument (or a component that can be used for the intelligent measurement instrument) or the server (or a component that can be used for the server) mentioned in the foregoing method embodiment. The information processing apparatus 90 may be used to implement the method corresponding to the intelligent measurement instrument or the server described in the above method embodiment, and refer to the description in the above method embodiment specifically.

The information processing apparatus 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 dedicated processor, etc. For example, a baseband processor, or a central processor. 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. Among them, the instructions 93 may be executed by the processor 91 so that the information processing apparatus 90 performs the method corresponding to the intelligent measurement instrument or the server described in the above method embodiment.

In yet another possible design, the information processing apparatus 90 may include a circuit that may implement the functions of transmitting or receiving or communicating in the foregoing method embodiments.

In one possible implementation, the information processing apparatus 90 may include one or more memories 92, on which instructions 94 may be stored, and the instructions may be executed on the processor 91, so that the information processing apparatus 90 executes the method described in the above method embodiment.

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 together.

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 (intelligent measurement instrument or server). The transceiver 95 may be referred to as a transceiver unit, a transceiver, a transceiving circuit, a transceiver, or the like, and is used to realize a transceiving function of the information processing apparatus 90.

In one design, if the information processing apparatus 90 is used to implement the operation corresponding to the intelligent measurement instrument in the above embodiments, for example, the processor 91 may trigger the transceiver 95 to transmit the broadcast message by the near field communication method when the processor 91 recognizes that the measurement data corresponds to a plurality of users. The transceiver 95 receives a response message sent by the first terminal device, where the response message is used to characterize that the first terminal device detects the broadcast message, and the response message carries the identification information of the first terminal device. The home subscriber of the measurement data is determined by the processor 91 on the basis of the identification information.

Alternatively, in one design, if the information processing apparatus 90 is used to implement the operation corresponding to the intelligent measurement instrument in the above embodiments, for example, the processor 91 may trigger the transceiver 95 to transmit the broadcast message by near field communication when it recognizes that the measurement data corresponds to multiple users. The transceiver 95 receives a response message sent by the first terminal device, where the response message is used to characterize that the first terminal device detects the broadcast message, and the response message carries the identification information of the first terminal device. And the identification information and the measurement data are sent by the transceiver 95 to the server so that the server determines the home subscriber for the measurement data based on the identification information.

For specific implementation processes of the processor 91 and the transceiver 95, reference may be made to the related descriptions of the above embodiments, and details are not described here again.

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 instrument and the identification information of the first terminal device, where the first terminal device is a device responding to a broadcast message sent by the intelligent measurement instrument when the intelligent measurement instrument recognizes that the measurement data corresponds to multiple users. The home subscriber of the measurement data is determined by the processor 91 on the basis of the identification information.

The processor 91 and transceiver 95 described herein may be implemented on an Integrated Circuit (IC), an analog IC, a Radio Frequency Integrated Circuit (RFIC), a mixed signal IC, an Application Specific Integrated Circuit (ASIC), a Printed Circuit Board (PCB), an electronic device, or the like. The processor and transceiver may also be fabricated using various 1C process technologies, such as Complementary Metal Oxide Semiconductor (CMOS), N-type metal oxide semiconductor (NMOS), P-type metal oxide semiconductor (PMOS), 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 by taking a server or an intelligent measurement instrument as an example, the scope of the information processing apparatus described in the present application is not limited to the above intelligent measurement instrument or server, and the structure of the information processing apparatus 90 may not be limited to that of 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 system-on-chip or subsystem;

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

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

(4) a module that may be embedded within other devices;

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

(6) others, and so forth.

Fig. 9 is a schematic structural diagram of an intelligent measurement instrument according to an embodiment of the present application. The intelligent measuring instrument can be applied to the intelligent measuring instrument in the embodiments of the application. For ease of illustration, FIG. 9 shows only the major components of the intelligent measurement instrument. As shown in fig. 9, the intelligent measurement instrument 10 includes a processor, a memory, a control circuit, an antenna, and an input-output device. The processor is mainly used for processing communication protocols and communication data, controlling the whole intelligent measuring instrument, executing a software program and processing data of the software program. The memory is used primarily for storing software programs and data. The radio frequency circuit is mainly used for converting baseband signals and radio frequency signals and processing the radio frequency signals. 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 used primarily for receiving data input by a user and for outputting data to the user.

When the intelligent measuring instrument 10 is powered 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 needs to be sent wirelessly, the processor outputs a baseband signal to the radio frequency circuit after performing baseband processing on the data to be sent, and the radio frequency circuit performs radio frequency processing on the baseband signal and sends the radio frequency signal outwards in the form of electromagnetic waves through the antenna. When data is transmitted to the intelligent measurement instrument 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, and the processor 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 a storage device, and the like, which is not limited in this application.

As a possible implementation manner, the processor may include a baseband processor and a central processing unit, the baseband processor is mainly used for processing the communication protocol and the communication data, and the central processing unit is mainly used for controlling the whole terminal, executing the software program, and processing the data of the software program. The processor in fig. 9 integrates the functions of the baseband processor and the central processing unit, and those skilled in the art will understand that the baseband processor and the central processing unit may also be independent processors, and are interconnected through a bus or the like. As will be appreciated by those skilled in the art, the intelligent measurement instrument 10 may include a plurality of baseband processors to accommodate different network formats, the intelligent measurement instrument 10 may include a plurality of central processors to enhance its processing capabilities, and the various components of the intelligent measurement instrument 10 may be connected by various buses. The baseband processor can also be expressed as a baseband processing circuit or a baseband processing chip. The central processing unit can 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, and the processor executes the software program to realize the baseband processing function.

In one example, the antenna and the control circuit with transceiving functions may be considered as the transceiving module 11 of the intelligent measurement instrument 10, and the processor with processing functions may be considered as the processing module 12 of the intelligent measurement instrument 10. As shown in fig. 9, the intelligent measurement instrument 10 includes a transceiver module 11 and a processing module 12. The transceiver module 11 may also be referred to as a transceiver, transceiving means, etc. In one possible implementation manner, a device for implementing a receiving function in the transceiver module 11 may be regarded as a receiving module, and a device for implementing a sending function in the transceiver module 11 may be regarded as a sending module, that is, the transceiver module 11 includes a receiving module and a sending module, the receiving module may also be referred to as a receiver, a receiving circuit, and the like, and the sending module may be referred to as a transmitter, a sending circuit, and the like.

An embodiment of the present application further provides an information processing system, where the information processing system may include: a server and one or more intelligent measurement instruments. The structure of the apparatus embodiment shown in fig. 6, 8, or 9 may be adopted by the intelligent measurement instrument, and accordingly, any of the above method embodiments may be implemented in relation to the technical solution of the intelligent measurement instrument, and the implementation principle and the technical effect are similar, and are not described herein again. The server may adopt the structure of the apparatus embodiment shown in fig. 7 or fig. 8, and accordingly, the technical solution related to the server of any one of the above method embodiments may be executed, and the implementation principle and the technical effect are similar, and are not described herein again. Optionally, the information processing system may further include 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 module is schematic, and is only one logic function division, and there may be another division manner in actual implementation. Each functional module 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 are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.

The integrated module, if implemented in the form of a software functional module 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 substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) 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: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

In the above embodiments, the implementation may be wholly or partially realized 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, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

Claims

1. An information processing method is applied to an intelligent measuring instrument, and comprises the following steps:

identifying a plurality of users corresponding to the measurement data, and sending broadcast messages in a near field communication mode;

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

and determining the home subscriber of the measurement data according to the identification information.

2. The method according to claim 1, wherein the number of the response messages is plural, and the determining the home subscriber of the measurement data according to the identification information comprises:

respectively determining the distance of the first terminal equipment corresponding to each 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.

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

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

4. The method of claim 3, 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 home subscriber of the measurement data.

5. The method according to any one of claims 1 to 4, wherein after determining the home subscriber of the measurement data according to the identification information, further comprising:

and sending the measurement data and the information of the home subscriber to a server so that the server updates the 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.

6. The method according to any one of claims 1 to 5, wherein after determining the home subscriber of the measurement data according to the identification information, further comprising:

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

7. The method according to any one of claims 1 to 6, wherein the first terminal device is a wearable device.

8. An information processing method is applied to an intelligent measuring instrument, and comprises the following steps:

and sending the identification information and the measurement data to a server so that the server determines the home subscriber of the measurement data according to the identification information.

9. The method of claim 8, wherein the first terminal device is a wearable device.

10. An information processing method applied to a server includes:

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 broadcast messages, and the broadcast messages are sent when the intelligent measurement instrument identifies that the measurement data correspond to a plurality of users;

11. The method according to claim 10, wherein the number of the response messages is plural, and the determining the home subscriber of the measurement data according to the identification information comprises:

12. The method of claim 11, wherein before determining the home subscriber of the measurement data according to the minimum distance of the first terminal device, further comprising:

13. The method of claim 12, further comprising:

and if the minimum distance is determined to be greater than the preset distance, respectively sending confirmation messages to second terminal equipment of the plurality of users so as to confirm the home subscriber of the measurement data.

14. The method according to any one of claims 10 to 13, wherein after determining the home subscriber of the measurement data according to the identification information, further comprising:

and updating the user information corresponding to the home subscriber based on the measurement data.

15. The method according to any one of claims 10 to 14, wherein the first terminal device is a wearable device.

16. An information processing apparatus, applied to an intelligent measurement instrument, comprising:

the processing module is used for triggering the sending module to send the broadcast message in a near field communication mode when the plurality of users corresponding to the measurement data are identified;

a receiving module, configured to receive a response message sent by a first terminal device, where the response message is used to characterize that the first terminal device detects the broadcast message, and the response message carries identification information of the first terminal device;

and the processing module is further used for determining the home subscriber of the measurement data according to the identification information.

17. The apparatus according to claim 16, wherein the number of the response messages is plural, and the processing module, when executing the step of determining the home subscriber of the measurement data according to the identification information, is specifically configured to:

18. The apparatus of claim 17, 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.

19. The apparatus of any of claims 16 to 18, wherein the processing module is further configured to:

and after determining the home subscriber of the measurement data according to the identification information, updating the user information of the home subscriber based on the measurement data.

20. An information processing apparatus, applied to an intelligent measurement instrument, comprising:

the sending module is further configured to send the identification information and the measurement data to a server, so that the server determines a home subscriber of the measurement data according to the identification information.

21. An information processing apparatus, applied to a server, comprising:

the system comprises a receiving module, a processing module and a processing module, wherein the receiving module is used for receiving measurement data sent by an intelligent measurement instrument and identification information of first terminal equipment, the first terminal equipment is equipment for responding to broadcast messages, and the broadcast messages are sent when the intelligent measurement instrument identifies that the measurement data correspond to a plurality of users;

and the processing module is used for determining the attributive user of the measurement data according to the identification information.

22. The apparatus of claim 21, wherein the number of the response messages is multiple, and the processing module is specifically configured to:

23. The apparatus of claim 21 or 22, wherein the processing module is further configured to:

and after determining the home subscriber of the measurement data according to the identification information, updating the user information corresponding to the home subscriber based on the measurement data.

24. 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 of claims 1 to 15.

25. A computer-readable storage medium, in which a computer program is stored, the computer program comprising at least one piece of code which is executable by a processor for implementing the method according to any one of claims 1 to 15.