TWI681306B - Method, system and storage media for group notification based on user behavior - Google Patents

Abstract

A method, a system and a storage media for group notification based on user behavior are provided. The method includes the following steps. An user information collected immediately by a terminal equipment is received by a cloud system. The user information includes an instantaneous location information of the user. A behavior pattern of the user is determined by the cloud system according to the instantaneous location information of the user. A group is built to group the corresponding terminal equipment by the cloud system according to the user information and the behavior pattern. An information of an associated item is received by the cloud system. The information of the associated item is collected by the terminal equipment in the group. The associated item in the group is monitored by the cloud system. A notification information corresponding to the associated item is transmitted to the terminal equipment in the group.

Description

Group notification method, system and storage medium based on user behavior body

The invention relates to the technical field of massive data analysis, in particular to a group notification method, system and storage medium based on user behavior.

Huge amount of data analysis refers to the analysis of large-scale data, which has the characteristics of large data volume, fast speed, many types, high value and strong authenticity. In various fields such as the consumer field, the financial field, the industrial field, and the medical field, massive data analysis is playing an increasingly important role.

For example, sleep monitoring equipment based on massive data analysis. After the user enters sleep, the sleep condition is automatically detected and the surrounding environment (including sound, light, temperature, etc.) is analyzed, and the surrounding environment is adjusted to match the user's sleep condition. When the user cannot fall asleep, the sleep monitoring device can automatically play soothing music, indicating that the user is asleep. Users in the same household can share a sleep monitoring device through the transmitter.

However, in the field of life, the application of huge amounts of data analysis is still relatively narrow. Many daily tasks in work or life still rely on traditional methods for management. Massive data analysis has not been able to analyze the user's behavior patterns in real time, and provide users with corresponding services based on the user's behavior patterns.

For example, the current method of baggage supervision is still relying on manually attaching an identification code to the baggage and scanning the identification code when picking up. For the case of missing luggage, the user cannot get a reminder within a reasonable first time, which brings great inconvenience to the line.

It can be seen that the application of massive data analysis in daily life is still very limited.

In view of the defects in the prior art, the object of the present invention is to provide a group notification method, system and storage media based on user behavior, to analyze user behavior patterns based on user information, and then determine whether the user's behavior patterns trigger specific scenarios and establish The group provides unified services.

The invention provides a group notification method based on user behavior, which includes: a cloud system receives user information collected by a terminal device in real time, and the user information includes at least the user's instant location information; the cloud system determines the user's behavior mode according to the user's instant location information ; The cloud system establishes a group of corresponding terminal devices according to user information and behavior patterns; the cloud system receives related item information, and the related item information is collected by the terminal devices in the group; the cloud system based on the related item information to the related items in the group Supervise and send notification information corresponding to related items to each terminal device in the group.

The invention also provides a group notification system based on user behavior, including at least one cloud system and multiple terminal devices. The cloud system at least includes a receiving module, a judging module, a grouping module, and a management module, wherein: the receiving module The group receives the user information collected by the terminal equipment in real time. The user information includes at least the user's instant location information; the judgment module judges the user's behavior mode based on the user's instant location information; the group module based on the user information and behavior mode, the corresponding terminal The device establishes a group; and the receiving module receives the related item information, which is collected by the terminal devices in the group; the management module supervises the related items in the group based on the related item information, and sends The terminal device sends notification information corresponding to the associated item.

In the group notification method based on user behavior, the cloud system determines the user's behavior mode based on the user's instant location information. The cloud system will obtain the user's instant behavior trajectory based on the user's instant location information; the cloud system determines the user's behavior Whether the real-time behavior trajectory conforms to the user's preset trajectory, if it is determined that the user is in the first behavior mode, otherwise it is determined that the user is in the second behavior mode cloud system, and all users with the same real-time behavior trajectory determined as the second behavior mode The corresponding terminal devices are set as a temporary group.

The steps for the cloud system to supervise the related items in the group include: the cloud system sends a first baggage input prompt to all terminal devices in the temporary group, and receives the first baggage information uploaded by each terminal device; after a preset time period , The cloud system sends a second baggage input prompt to all terminal devices in the temporary group, and receives the second baggage information uploaded by each terminal device; the cloud system determines that the temporary group Whether the second baggage information matches the first baggage information, and in the case of a mismatch, send a baggage missing notification to all terminal devices in the temporary group.

In view of this, the beneficial effect of the present invention compared with the prior art is that the present invention utilizes huge amounts of data analysis to analyze the user's behavior patterns through the terminal device's real-time collection and upload of user information, based on the analysis of huge amounts of data. The accuracy of the behavior mode is high; according to the behavior mode of the user, a temporary group of users with the same behavior mode and certain conditions is established, thereby providing a unified association for these users with the same behavior mode in the temporary group The article supervision service greatly facilitates the user's life travel. In order to have a better understanding of the above and other aspects of the present invention, the cloud system will give specific examples as follows, together with the attached drawings:

31‧‧‧ cloud system

311‧‧‧Receiving module

312‧‧‧judgment module

313‧‧‧Group module

314‧‧‧ management module

32‧‧‧terminal equipment

400‧‧‧program product

S101, S102, S103, S104, S105, S1021, S1022, S1023, S1051, S1052, S1053

Figure 1 is a schematic diagram of steps of a group notification method based on user behavior in an exemplary embodiment of the present invention; Figure 2 is a detailed flowchart of a group notification method based on user behavior in an exemplary embodiment of the present invention Figure 3 is a modular structure diagram of a group notification system based on user behavior in an exemplary embodiment of the invention; Figure 4 is a schematic diagram of a storage medium in an exemplary embodiment of the invention.

Embodiments of the embodiments will now be described more fully with reference to the drawings. However, the example embodiments can be implemented in various forms and should not be construed as being limited to The examples set forth herein; on the contrary, providing these embodiments makes the invention more comprehensive and complete, and fully conveys the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in one or more embodiments in any suitable manner.

FIG. 1 is a schematic diagram illustrating steps of a group notification method based on user behavior in an embodiment. FIG. 2 illustrates a detailed flowchart of a method for group notification based on user behavior in an embodiment. With reference to Figures 1 and 2, the method for group notification based on user behavior of the present invention includes:

Step S101: The cloud system receives user information collected by the terminal device in real time, and the user information includes at least the user's instant location information. Among them, the "real-time location information" collected by the terminal device includes not only the geographic location, but also the current time of acquiring the geographic location, so that the subsequent cloud system can immediately determine the user's behavior pattern based on the real-time location information collected by the terminal device.

Step S102: The cloud system determines the user's behavior mode according to the user's instant location information. Specifically, step S102 includes the following sub-steps (note that some steps in FIG. 2 are directly drawn in the form of multiple sub-steps to show the specific flow of the group notification method):

Step S1021, the cloud system obtains the user's real-time behavior trajectory according to the user's real-time location information; wherein, the user's real-time behavior trajectory can be obtained by connecting a plurality of real-time location information, or can be calculated from the real-time location information through some known formulas The behavior track will not be repeated here.

Step S1022: The cloud system judges whether the user's real-time behavior trajectory conforms to the user's preset trajectory.

Further, the user's preset trajectory includes the user's preset activity route or the user's preset activity area. That is, when determining whether the user's immediate behavior trajectory conforms to the user's preset trajectory, it can be determined whether the user's immediate behavior trajectory conforms to the user's preset activity route; or, it can be determined whether the user's immediate behavior trajectory conforms to the user The default active area.

C地，B地

D地，C地

D地。那麼判斷用戶A的即時行為軌跡是否符合用戶A的預設軌跡時，可以判斷用戶A的即時行為軌跡是否符合該用戶A的預設活動路線B地

C地，或B地

D地，或C地

D地；當用戶A的即時行為軌跡符合B地

C地，或B地

D地，或C地

D地中任意一條預設軌跡時，即可判斷該用戶A的即時行為軌跡符合用戶A的預設軌跡，即進一步判定該用戶A處於第一行為模式。本實施例中，設定該第一行為模式為日常行為模式。在此基礎上，用戶A的預設活動路線中，B地例如為住址，C地例如為公司地址，D地例如為用戶A常去的超市/商場等。 For example, the preset trajectory of user A includes three preset active routes, which are B

Place C, Place B

D, C

D place. Then, when it is determined whether the real-time behavior trajectory of user A conforms to the preset trajectory of user A, it can be determined whether the real-time behavior trajectory of user A conforms to the preset activity route B of the user A

Place C, or Place B

D, or C

D place; when user A’s immediate behavior track matches B place

Place C, or Place B

D, or C

When any one of the preset trajectories in the ground D, it can be determined that the immediate behavior trajectory of the user A matches the preset trajectory of the user A, that is, it is further determined that the user A is in the first behavior mode. In this embodiment, the first behavior pattern is set as a daily behavior pattern. On this basis, in the preset activity route of user A, place B is, for example, a residential address, place C is, for example, a company address, and place D is, for example, a supermarket/shopping mall frequently visited by user A.

C地，B地

D地，C地

D地。若某天用戶A上班途中臨時有事需要繞道去往E地，此時用戶A的即時行為軌跡不再符合預設活動路線，通過判斷用戶的即時行為軌跡是否符合預設活動路線的方式，此時即會將用戶A的行為模式判定為第二行為模式，繼而觸發後續的群組建立和通知服務。而事實上用戶A仍然處於第一行為模式，無需觸發群組建立和通知服務。因此，此時可採用預設活動區域的方式來進一步判定用戶A是否脫離了日常行為模式。通過判定，發現E地仍然位於用戶A的預設活動區域之內，並未超出合理的範圍，因此可判定用戶A仍處於第一行為模式，也即日常行為模式，無需觸發相應的群組建立和通知服務。 In addition, the preset track of user A may also include a preset active area. At this time, it can also be determined whether the user A is in the first behavior mode or the second behavior mode according to whether the immediate behavior trajectory of the user A conforms to the preset active area. Compared with determining the behavior mode through the preset activity route, the method of using the preset activity area to determine the behavior mode is more flexible. For example, the preset activity route of user A includes location B

Place C, Place B

D, C

D place. If user A needs to make a detour to place E temporarily during work on a certain day, user A’s real-time behavior trajectory no longer conforms to the preset activity route. By judging whether the user’s real-time behavior trajectory conforms to the preset activity route, this time That is, the behavior mode of user A is determined as the second behavior mode, and then the subsequent group establishment and notification service are triggered. In fact, user A is still in the first behavior mode without triggering group establishment and notification services. Therefore, at this time, it is possible to further determine whether the user A has deviated from the daily behavior pattern by using a preset active area. Through the judgment, it is found that the location E is still within the preset activity area of the user A, and does not exceed a reasonable range, so it can be determined that the user A is still in the first behavior mode, that is, the daily behavior mode, without triggering the corresponding group establishment And notification services.

Of course, the method of determining the user's behavior pattern through the matching relationship between the preset activity route and the immediate behavior trajectory, and the method of determining the user's behavior pattern through the preset activity range and the immediate behavior trajectory can be used in combination, or can be used separately, both Set and adjust based on the actual situation based on the embodiments of the present invention.

Further, the user's preset trajectory can be pre-stored in the cloud system by the terminal device corresponding to the user, or the user's preset trajectory can also be calculated by the cloud system according to the historical location information collected by the user's corresponding terminal device. For example, a user's preset trajectory can be uploaded to the cloud system by the terminal device corresponding to the user, and then determined according to the preset trajectory uploaded by the terminal device The user's behavior pattern. Alternatively, the cloud system calculates the user's preset trajectory (that is, the activity trajectory in the daily behavior mode) according to the user's historical location information collected by the terminal device. For example, according to the real-time location information of user X collected one month before the history, the daily behavior trajectory of user X is analyzed, for example, including the round-trip trajectory between Y's address and company Z. Subsequently, the round trip trajectory between the Y address and Z company calculated by the calculation can be used to determine the current behavior pattern of the user.

Step S103: The cloud system establishes a group of corresponding terminal devices based on user information and behavior patterns. Specifically, step S103 includes: when it is determined that the user is in the second behavior mode, all terminal devices corresponding to all users who have the same immediate behavior trajectory and will be in the second behavior mode establish a temporary group. When it is determined that the user is in the second behavior mode, that is, the non-daily behavior mode, for example, the user deviates from the daily behavior trajectory and moves at a certain speed in a certain direction, it indicates that the user may be in a business trip state or a traveling state, and may need to Baggage supervision service. Therefore, the temporary group baggage supervision service is triggered. Through the analysis of huge amounts of data, it is found that some users appear in the same location with a certain frequency in a certain period of time, then it can be determined that these users are traveling together or traveling together, and can be temporarily classified as a temporary group.

[0025] Specifically, the step of establishing the temporary group includes: the cloud system first selects all mobile terminals corresponding to the users in the second behavior mode. Then, the terminal devices corresponding to all users who are all in the second behavior mode and have the same instant behavior trajectory establish a temporary group. The "same real-time behavior trajectory" here includes not only users with the same real-time behavior trajectory, but also users whose difference in the real-time behavior trajectory is within a preset threshold range.

For example, if user M and user N are traveling friends and take the same flight together, then the immediate behavior trajectory of user M and user N are consistent. In a more reasonable situation, the behavior trajectories of users M and N are not exactly the same, but the difference is within a reasonable threshold. For example, when the user M walks in the cabin during the flight, the behavior trajectory changes slightly. At this time, the behavior trajectory of the user M and the user N is not completely consistent, but the difference is within the preset threshold. Therefore, it is still determined that the real-time behavior trajectories of user M and user N are "same" or "similar".

After the temporary group is established, it also includes: Step S104, the cloud system receives the related item information, and the related item information is collected by the terminal device in the group. Among them, each terminal device can collect one or more associated items. In this embodiment, the associated item is luggage, and each luggage corresponds to an electronic tag. Electronic tags are used to uniquely identify related items, such as RFID electronic tags. RFID (Radio Frequency Identification) is a radio frequency identification technology, also known as an electronic tag. It can identify a specific target through radio signals and read and write related data without the need to establish mechanical or optical contact between the identification system and the specific target. The signal of the radio is to transmit the data from the label attached to the item through the electromagnetic field tuned to the radio frequency to automatically identify and track the item. Scanning the electronic tag through the terminal device can read the related article information corresponding to the electronic tag and upload it to the cloud system.

Further, in step S105, the cloud system supervises the related items in the group, and sends notification information corresponding to the related items to each terminal device in the group. Specifically, step S105 includes the following substeps: step S1051, the cloud system sends a first baggage input prompt to all terminal devices in the temporary group and receives The first baggage information uploaded by each terminal device; Step S1052. After a preset time period, the cloud system sends a second baggage input prompt to all terminal devices in the temporary group and receives the second baggage information uploaded by each terminal device; step S1053. The cloud system judges whether the second baggage information in the temporary group matches the first baggage information, and sends a baggage missing notification to all terminal devices in the temporary group if they do not match.

The first baggage information includes multiple pieces of baggage information, specifically including multiple pieces of baggage information uploaded for the first time by all terminal devices in the temporary group (in this embodiment, the associated item information refers to baggage information). Correspondingly, the second luggage information includes multiple pieces of luggage information uploaded for the second time by all terminal devices in the temporary group. For example, the group includes ten users, each user holds a terminal device, and each terminal device scans the electronic tag corresponding to one or more pieces of luggage belonging to the user. Specifically, an electronic tag is set on each piece of luggage, so that a piece of luggage can uniquely correspond to an electronic tag. A user has several pieces of luggage, then his terminal device correspondingly scans the electronic tags corresponding to these pieces of luggage. Of course, a certain user can also scan the electronic tags corresponding to the luggage of other users in the same temporary group. Therefore, in this embodiment, both the first baggage information and the second baggage information are counted in the unit of the temporary group, so as to facilitate the assistance of each user in the temporary group to collect luggage. The specific way to determine whether the second baggage information matches the first baggage information is: after the second baggage information is uploaded to the cloud system, identify whether all electronic tags corresponding to the second baggage information in the temporary group are in the temporary group All the electronic tags corresponding to the first baggage information are completely consistent (including the number of electronic tags and the content of the electronic tags), if they are completely consistent, it indicates that the second baggage information and the first line If the Lee information matches, if it is inconsistent, it indicates that the second luggage information and the first luggage information do not match. For example, the number of electronic tags corresponding to the second baggage information is less than the number of electronic tags corresponding to the first baggage information, then there may be a missing baggage in the temporary group; If the content of the electronic tag corresponding to the information is inconsistent, the baggage may be wrongly received in the temporary group. In the case of a mismatch, the cloud system sends a baggage miss notification to all terminal devices in the temporary group to facilitate users in the temporary group to check each other for missing or wrong baggage.

Whether in a business trip, travel or other situation, the user is in the second behavior mode, that is, the non-daily behavior mode, the user will carry luggage. In practice, the "luggage" can be a laptop, mouse, power bank, or luggage Any one or more of them. Therefore, when the cloud system determines that the user is in the second behavior mode, the baggage supervision service is automatically triggered. The cloud system sends the first baggage input prompt to the users in the temporary group. At this time, the user may also choose whether to require baggage supervision services. If necessary, you can enter the first baggage information according to the prompt of the cloud system; if not, the user can manually exit the temporary group. The temporary group may be a temporary group created by the cloud system through an application software on the terminal device, or a temporary group such as WeChat group and QQ group. When the user deviates from the daily behavior trajectory, the cloud system determines that some users deviate from the daily behavior trajectory and the immediate behavior trajectory is similar. It can be determined that these users may be co-workers traveling together, family members traveling together, etc. The corresponding mobile terminal establishes a temporary group. And provide baggage supervision service for the temporary group.

Further, as long as the related items in the temporary group are scanned and uploaded to the cloud system by any mobile terminal, the state of the related items can be determined to be normal, and no reminder is required. As a result, travellers or colleagues traveling together can scan and upload related item information to each other, and can also remind each other when luggage is missing.

This implementation analyzes the behavior mode based on the user's real-time location information, and then pulls users who are in the non-daily behavior mode and have the same motion trajectory into the group according to the user's behavior mode, realizing unified supervision reminders for luggage within the group, and greatly facilitating user travel . The unified supervision reminder of the group can also facilitate the users in the group to remind each other after receiving the notification, so as to avoid missing a notification and missing luggage caused by a user disconnection.

The present invention also provides a group notification system based on user behavior. FIG. 3 shows a modular structure diagram of a group notification system based on user behavior in an exemplary embodiment of the present invention. Referring to FIG. The inventive group notification system based on user behavior includes at least one cloud system 31 and a plurality of terminal devices 32 that are communicatively connected. The cloud system 31 includes at least a receiving module 311, a judging module 312, a grouping module 313, and a management module 314. The cloud system 31 is, for example, a cloud processing device with a processing function, and the terminal device is, for example, a GPS signal collector with a positioning function, or a smart phone.

Specifically, the receiving module 311 receives the user information instantly collected by the terminal device 32, and the user information includes at least the user's instant location information; the judgment module 312 judges the user's behavior mode according to the user's instant location information; the grouping module 313 according to the user Information and behavior patterns, establish groups of corresponding terminal devices 32; receive The module 311 receives the related item information, and the related item information is collected by the terminal devices 32 in the group; the management module 314 supervises the related item in the group based on the related item information and sends it to each terminal device 32 in the group Corresponding notification information for related items.

The judgment module 312 specifically executes: obtaining the user's real-time behavior trajectory according to the user's real-time position information; determining whether the user's real-time behavior trajectory conforms to the user's preset trajectory, and if so, determining that the user is in the first behavior mode, if Otherwise, it is determined that the user is in the second behavior mode.

Further, the grouping module 313 specifically executes: when it is determined that the user is in the second behavior mode, all of them will be in the second behavior mode, and the terminal devices 32 corresponding to all users having the same immediate behavior trajectory establish a temporary group.

Further, the associated item is luggage, and each luggage corresponds to an electronic tag. On this basis, the management module 314 specifically executes: sending a first baggage input prompt to all terminal devices 32 in the temporary group and receiving the first baggage information uploaded by each terminal device 32; after a preset time period, the temporary All terminal devices 32 in the group send a second baggage input prompt and receive the second baggage information uploaded by each terminal device; and, determine whether the second baggage information in the temporary group matches the first baggage information. In the case of, a notification of missing luggage is sent to all terminal devices 32 in the temporary group.

For the specific working process and principle of each module, reference may be made to the description of the above embodiment, and no more details are provided here.

In an exemplary embodiment of the present invention, there is also provided a computer-readable storage medium on which a computer program is stored, which when executed by, for example, a processor can implement the user behavior-based described in any of the above embodiments Steps of group notification method. In some possible implementation manners, various aspects of the present invention may also be implemented in the form of a program product, which includes program code, and when the program product runs on a terminal device, the program code is used to make the terminal The device executes the steps according to various exemplary embodiments of the present invention described in the group notification method for luggage of the present specification.

Referring to FIG. 4, a program product 400 for implementing the above method according to an embodiment of the present invention is described. It can use a portable read-only memory disc (CD-ROM) and include the program code, and can be used in the terminal. Devices, such as personal computers. However, the program product of the present invention is not limited to this. In this document, the readable storage medium may be any tangible medium containing or storing a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.

Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described here can be implemented by software, or can be implemented by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile readable storage medium (which can be a CD-ROM, pen drive, mobile hard drive, etc.) Or on the network, several instructions are included to enable a computing device (which may be a personal computer, server, or network device, etc.) to perform the above-mentioned baggage group notification method according to an embodiment of the present invention.

In summary, although the present invention has been disclosed as above with examples, it is not intended to limit the present invention. Those with ordinary knowledge in the technical field to which the present invention belongs can make various modifications and retouching without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention shall be deemed as defined by the scope of the attached patent application.

S101~S105‧‧‧Process steps

Claims (10)

A group notification method based on user behavior includes: a cloud system receives user information collected by a terminal device in real time, the user information includes at least the user's instant location information; the cloud system determines the location based on the user's instant location information The user's behavior pattern; the cloud system establishes a group of the corresponding terminal devices based on the user information and the behavior pattern; the cloud system receives a piece of luggage information, and the luggage information is determined by the group Collected by the terminal equipment within; and the cloud system supervises the luggage within the group based on the luggage information, and sends notification information corresponding to the luggage to each terminal equipment within the group Wherein the cloud system supervises the luggage in the group based on the luggage information includes: the cloud system sends a first luggage input prompt to the terminal device in a temporary group and receives each The terminal device uploads one piece of first luggage information. The group notification method based on user behavior as described in item 1 of the scope of patent application, wherein the cloud system judging the user's behavior mode based on the user's instant location information includes: the cloud system according to the user To obtain the user’s real-time behavior trajectory; and The cloud system determines whether the user's immediate behavior trajectory conforms to the user's preset trajectory, and if so, determines that the user is in the first behavior mode, and otherwise determines that the user is in the second behavior mode. The method for group notification based on user behavior as described in item 2 of the patent application scope, wherein the cloud system, according to the user information and the behavior mode, establishes a group of corresponding terminal devices in the group includes: The second behavior mode, and the terminal devices corresponding to the users having the same instant behavior trajectory are established into the temporary group. The group notification method based on user behavior as described in item 1 of the patent application scope, wherein each luggage has an electronic tag. The group notification method based on user behavior as described in item 4 of the patent application scope, wherein the cloud system supervises the luggage in the group based on the luggage information includes: after a preset period of time, The cloud system then sends a second baggage input prompt to the terminal devices in the temporary group, and receives a second baggage information uploaded by each terminal device; and the cloud system determines the temporary group Whether the second baggage information in the group matches the first baggage information, and in the case of a mismatch, send a baggage missing notification to the terminal device in the temporary group. The group notification method based on user behavior as described in item 2 of the patent application scope, wherein the user's preset trajectory includes the user's preset activity route and/or the user's preset activity area. The group notification method based on user behavior as described in item 2 of the patent application scope, wherein the preset trajectory of the user is pre-stored in the cloud system by the terminal device, or the preset trajectory of the user is determined by all The cloud system is calculated according to the historical location information of the user collected by the terminal device. The group notification method based on user behavior as described in item 3 of the patent application scope, wherein the terminal devices corresponding to all the users with the same instant behavior trajectory include: all the stations with completely consistent instant behavior trajectory The terminal device corresponding to the user, and all the terminal devices corresponding to all the users whose difference in real-time behavior trajectory is within a preset threshold range. A group notification system based on user behavior includes at least one cloud system and multiple terminal devices. The cloud system at least includes a receiving module, a judging module, a grouping module, and a management module, wherein: The receiving module receives user information collected by the terminal device in real time, and the user information includes at least the user's instant location information; the judgment module determines the user's behavior mode based on the user's instant location information; The grouping module establishes a group of the corresponding terminal devices according to the user information and the behavior pattern; the receiving module receives a baggage information, and the baggage information is determined by the Terminal equipment collection; and The management module supervises the luggage in the group based on the luggage information, and sends notification information corresponding to the luggage to each terminal device in the group; and wherein the management module Supervising the baggage in the group based on the baggage information includes: the management module sends a first baggage input prompt to the terminal device in a temporary group and receives the upload from each terminal device A first baggage information. A computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, a group notification method based on user behavior as described in any one of items 1 to 8 of the patent application step.

Images