TW201915771A - 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

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

Huge 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 the fields of consumption, finance, industry, medical and other fields, huge amounts of data analysis are playing an increasingly important role.

For example, sleep monitoring devices based on analysis of huge amounts of data. When the user enters sleep, it automatically detects the sleep situation and analyzes the surrounding environment (including sound, light, temperature, etc.), and adjusts the surrounding environment to match the user's sleep situation. When the user cannot fall asleep, the sleep monitoring device can automatically play soothing music, indicating that the user falls asleep. Users in the same home can share a sleep monitoring device via the transmitter.

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

For example, baggage supervision when traveling, the current method still relies on manually pasting the identification code on the luggage, and scanning the identification code when receiving. For the missing baggage, the user cannot get the reminder in a reasonable first time, which brings great inconvenience to the trip.

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

In view of the shortcomings in the prior art, the object of the present invention is to provide a group notification method, system and storage medium based on user behaviors, to analyze user behavior patterns based on user information, and then determine whether the user behavior patterns trigger specific scenarios, and establish Groups provide 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 judges the user's behavior mode based on the user's instant location information ; The cloud system establishes a corresponding terminal device group according to the user information and behavior pattern; the cloud system receives related item information, and the related item information is collected by the terminal devices in the group; the cloud system compares the related items in the group based on the related item information 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 includes at least a receiving module, a judging module, a grouping module, and a management module, wherein: the receiving module The group 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 determination module determines the user's behavior mode based on the user's instant location information; the grouping module determines the corresponding terminal based on the user information and behavior mode 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 monitors each item in the group. The terminal device sends notification information corresponding to the associated item.

In the user behavior-based group notification method, the cloud system determining the user ’s behavior mode based on the user ’s instant location information includes: the cloud system obtains the user ’s instant behavior trajectory based on the user ’s instant location information; the cloud system determines the user ’s Whether the real-time behavior trajectory conforms to the user's preset trajectory. If so, the user is determined to be in the first behavior mode, otherwise the user is determined to be in the second behavior mode cloud system, and all users who are determined to be the second behavior mode and have the same instant behavior trajectory The corresponding terminal device is set as a temporary group.

The cloud system supervises the related items in the group including: 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 whether the second baggage information in the temporary group matches the first baggage information , In the case of mismatch, send a missing bag notification to all terminal devices in the temporary group.

In view of this, the cloud system has a beneficial effect compared with the prior art in that the present invention uses a huge amount of data analysis to instantly collect uploaded user information through a terminal device to analyze a user's behavior pattern, and the analysis and guarantee based on the huge amount of data The obtained behavior pattern has high accuracy; according to the behavior pattern of the user, a temporary group will be established for users in the same behavior pattern and with certain conditions, so as to provide uniformity for those users with the same behavior pattern in the temporary group. The related supervision service of related articles greatly facilitates users' daily travel. In order to better understand the above and other aspects of the present invention, the cloud system is described in detail below with embodiments and the accompanying drawings as follows:

Embodiment implementations will now be described more fully with reference to the accompanying 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; rather, providing these embodiments makes the present invention more comprehensive and complete, and conveys the concepts of the example embodiments comprehensively To those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

FIG. 1 is a schematic diagram illustrating steps of a group notification method based on user behaviors in an embodiment. FIG. 2 is a detailed flowchart of a group notification method based on user behavior in the embodiment. With reference to Figures 1 and 2, the group notification method 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. The “instant location information” collected by the terminal device includes not only the geographic location, but also the current time of obtaining the geographic location, so that subsequent cloud systems can instantly determine the user ’s behavior pattern based on the instant location information collected by the terminal device.

Step S102: The cloud system determines a 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 Figure 2 are directly drawn in the form of multiple sub-steps to show the specific process 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 trajectory is not repeated here.

Step S1022, the cloud system determines whether the real-time behavior trajectory of the user conforms to the preset trajectory of the user, 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.

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

For example, the preset trajectory of user A includes 3 preset activity routes, which are B to ↔C, B to ↔D, and C to D. Then, when judging whether the real-time behavior trajectory of the user A conforms to the preset trajectory of the user A, it can be judged whether the real-time behavior trajectory of the user A conforms to the preset activity route B of the user A to C, or B to D, or C place ↔ D place; when the real-time behavior trajectory of user A matches B B C lands, or B ↔ D lands, or C ↔ D lands, the real-time behavior of user A can be judged The trajectory conforms to 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 mode is set as a daily behavior mode. On this basis, in the preset activity route of the user A, the place B is, for example, an address, the place C is, for example, a company address, and the place D is, for example, a supermarket / shopping mall frequented by the user A.

In addition, the preset track of the user A may further 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 real-time behavior trajectory of the user A matches the preset active area. Compared with determining a behavior mode through a preset activity route, a method of determining a behavior mode by using a preset activity area is more flexible. For example, the preset activity route of user A includes B place ↔ C place, B place ↔ D place, C ↔ D place. If there is a temporary need for user A to detour to place E on the way to work one day, at this time, the real-time behavior trajectory of user A no longer conforms to the preset activity route. That is, the behavior mode of the user A is determined as the second behavior mode, and then subsequent group establishment and notification services are triggered. In fact, user A is still in the first behavior mode, and there is no need to trigger group establishment and notification services. Therefore, at this time, a method of presetting an active area may be used to further determine whether the user A is out of the daily behavior mode. Through the judgment, it is found that the place E is still within the preset activity area of the user A and does not exceed a reasonable range. Therefore, 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 manner in which the user's behavior pattern is determined by the matching relationship between the preset activity route and the instant behavior trajectory, and the manner in which the user's behavior pattern is determined by the preset activity range and the instant behavior trajectory can be used in combination or separately. According to the actual situation, settings and adjustments are made on the basis of the embodiments of the present invention.

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

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

Specifically, the step of establishing a temporary group includes: the cloud system first selects mobile terminals corresponding to all users in the second behavior mode. Then, a temporary group is established for terminal devices corresponding to all users who are in the second behavior mode and have the same instant behavior trajectory. The "same real-time behavior trajectory" here includes both users with identical real-time behavior trajectories and users whose difference between the real-time behavior trajectories is within a preset threshold range.

For example, if user M and user N are travellers and travel on the same flight, then the real-time behavior trajectories of user M and user N are consistent. In a more reasonable case, the behavior trajectories of user M and user N are not completely consistent, but the difference is within a reasonable threshold range. For example, when user M walks in the cabin during flight, his behavior trajectory changes slightly. At this time, the behavior trajectories of user M and user N are not completely consistent, but the difference is within a preset threshold range. Therefore, it is still determined that the real-time behavior trajectory of the user M and the user N is "same", or "similar".

After the temporary group is established, the method further includes: Step S104: The cloud system receives related item information, and the related item information is collected by terminal devices 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. An electronic tag is used to uniquely identify an associated item, such as an RFID electronic tag. RFID (Radio Frequency Identification) is a radio frequency identification technology, also known as an electronic tag. It can identify specific targets and read and write related data through radio signals, without the need to establish mechanical or optical contact between the identification system and the specific targets. The radio signal is transmitted through the electromagnetic field tuned to radio frequency, and the data is transmitted from the tag attached to the article to automatically identify and track the article. By scanning the electronic tag through the terminal device, the associated item information corresponding to the electronic tag can be read and uploaded to the cloud system.

Further, in step S105, the cloud system supervises 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 sub-steps: 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, a preset time period After that, 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 the second baggage information in the temporary group and the first baggage information. If the baggage information matches, send a missing bag notification to all terminal devices in the temporary group if they do not match.

The first baggage information includes multiple pieces of baggage information, and specifically includes multiple pieces of baggage information uploaded by all terminal devices in the temporary group for the first time (in this embodiment, the associated item information refers to baggage information). Correspondingly, the second baggage information includes multiple pieces of baggage information uploaded by all the terminal devices in the temporary group for the second time. For example, the group includes ten users, each user holding a terminal device, and each terminal device correspondingly scans an electronic tag corresponding to one or more pieces of luggage belonging to the user. Specifically, an electronic tag is provided on each piece of luggage, so that one piece of luggage can uniquely correspond to one electronic label. If a user has several pieces of luggage, the terminal device correspondingly scans the electronic tags corresponding to the pieces of luggage. Of course, a user can also scan the electronic tags corresponding to the luggage of other users in the same temporary group. Therefore, in this embodiment, the first baggage information and the second baggage information are both counted in a temporary group as a unit, so as to facilitate the collection of luggage among users in the temporary group. 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, identifying whether all the 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 the same (including the same number of electronic tags and the same content of the electronic tags). If they are completely the same, it means that the second baggage information matches the first baggage information. The information does not match the first baggage information. For example, if 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, there may be a case of missing baggage in the temporary group; or the content of the electronic tag corresponding to the second baggage information and the first baggage The contents of the electronic tags corresponding to the information are inconsistent, and there may be a case where the luggage is misplaced in the temporary group. In the case of a mismatch, the cloud system sends a missing bag notification to all terminal devices in the temporary group, so that users in the temporary group can check each other for missing or misplaced luggage.

Whether on business, travel, or other situations, 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 computer, a mouse, a mobile power supply, or a suitcase, etc. 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 a 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, the first baggage information can be entered according to the prompt of the cloud system; if not required, the user can manually exit the temporary group. The temporary group may be a temporary group established by a cloud system through an application software on a terminal device, or may be a temporary group such as a WeChat group or a QQ group. When the user deviates from the daily behavior trajectory, the cloud system judges that some users deviate from the daily behavior trajectory and the real-time behavior trajectories are similar. Then it can be determined that these users may be co-workers on business trips, family travels together, etc. The corresponding mobile terminal establishes a temporary group. And provide luggage supervision services for this 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, it can be determined that the status of the related items is normal, and there is no need to remind. 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 pattern based on the user's immediate location information, and then pulls users who are in non-daily behavior patterns and have the same motion trajectory into the group according to the user's behavior pattern, and realizes unified supervision of luggage supervision within the group, which greatly facilitates user travel . The unified monitoring of group reminders can also facilitate users in the group to remind each other after receiving notifications, to avoid a user's disconnection resulting in missing notifications and missing luggage.

The present invention also provides a group notification system based on user behavior. FIG. 3 illustrates 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 invention-based 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 determining 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 user information collected by the terminal device 32 in real time, and the user information includes at least the user's instant location information; the determination module 312 determines the user's behavior mode based on the user's instant location information; the grouping module 313 determines the user's behavior mode according to the user's instant location information; Information and behavior mode, the corresponding terminal device 32 is grouped; the receiving module 311 receives the related item information, and the related item information is collected by the terminal device 32 in the group; the management module 314 Related items are monitored, and notification information corresponding to the related items is sent to each terminal device 32 in the group.

The judgment module 312 specifically executes: obtaining the user's real-time behavior trajectory based on the user's real-time location information; determining whether the user's real-time behavior trajectory conforms to the user's preset trajectory; 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, the terminal devices 32 corresponding to all users who are in the second behavior mode and have the same instant behavior trajectory establish a temporary group.

Further, the associated items are 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 the terminal devices 32 in the temporary group, and receiving the first baggage information uploaded by each terminal device 32; 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, and does not match. In the case of a missing baggage notification, all terminal devices 32 in the temporary group are sent.

For specific working processes and principles of each module, reference may be made to the description of the foregoing embodiment, and details are not described herein again.

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

Referring to FIG. 4, a program product 400 for implementing the above method according to an embodiment of the present invention is described. The program product 400 may be a CD-ROM, and may include a program code. Device, such as a personal computer. However, the program product of the present invention is not limited thereto. 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, device, or device.

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

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

31‧‧‧Cloud System

311‧‧‧Receiving module

312‧‧‧Judgment Module

313‧‧‧Grouping module

314‧‧‧Management Module

32‧‧‧ terminal equipment

400‧‧‧Program Products

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

FIG. 1 is a schematic flowchart of a user behavior-based group notification method in an exemplary embodiment of the present invention; FIG. 2 is a detailed flowchart of a user behavior-based group notification method 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 present invention; Figure 4 is a schematic diagram of a storage medium in an exemplary embodiment of the present invention.

Claims (10)

A user notification-based group notification method includes: a cloud system receiving user information collected by a terminal device in real-time, the user information including at least the user's instant location information; and the cloud system determining a user location based on the user's instant location information The user's behavior mode; the cloud system establishes a corresponding group of the terminal device according to the user information and the behavior mode; the cloud system receives associated item information, and the associated item information is determined by the group Collection by the terminal devices in the group; and the cloud system supervises the related items in the group based on the related item information, and sends the corresponding correspondence to each of the terminal devices in the group Item notification information. The user behavior-based group notification method according to item 1 of the scope of patent application, wherein the cloud system determining the user's behavior mode based on the user's instant location information includes: the cloud system according to the user The real-time location information of the user to obtain the real-time behavior trajectory of the user; and the cloud system determines whether the real-time behavior trajectory of the user conforms to the preset trajectory of the user, and if so, determines that the user is in the first behavior mode, if not It is determined that the user is in a second behavior mode. The user behavior-based group notification method according to item 2 of the scope of patent application, wherein the cloud system establishes the corresponding terminal device into a group according to the user information and the behavior mode, including: The second behavior mode, and the terminal devices corresponding to the users with the same instant behavior trajectory are established into a temporary group. The user behavior-based group notification method according to item 1 of the scope of patent application, wherein the associated items are luggage, and each luggage has an electronic tag. The user behavior-based group notification method according to item 4 of the scope of patent application, wherein the cloud system supervising related items in the group based on the related item information includes: The terminal device in the temporary group sends a first baggage input prompt, and receives one of the first baggage information uploaded by each of the terminal devices; after a preset period of time, the cloud system again sends a message to the temporary baggage. The terminal device in the group sends a second baggage input prompt, and receives a second baggage information uploaded by each of the terminal devices; and the cloud system determines the second baggage information in the temporary group If the first baggage information matches the first baggage information, a missing baggage notification is sent to the terminal device in the temporary group if there is no match. The user behavior-based group notification method according to item 2 of the scope of patent application, wherein the preset track of the user includes a preset activity route of the user and / or a preset activity area of the user. The user behavior-based group notification method according to item 2 of the scope of patent application, wherein the preset track of the user is pre-stored by the terminal device to the cloud system, or the preset track of the user is determined by The cloud system calculates based on the historical location information of the user collected by the terminal device. The user behavior-based group notification method according to item 3 of the scope of patent application, wherein the terminal devices corresponding to all the users having the same instant behavior trajectory include: all the devices having completely consistent instant behavior trajectories The terminal device corresponding to the user, and the terminal devices corresponding to all the users whose difference in the instant behavior trajectory is within a preset threshold range. A user notification-based group notification system includes at least one cloud system and multiple terminal devices. The cloud system includes at least a receiving module, a determining 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 real-time location information of the user; the determining module determines the user's behavior mode according to the user's instant location information; The grouping module establishes a group of the corresponding terminal device according to the user information and the behavior mode; the receiving module receives related item information, and the related item information is received by all members in the group. The terminal device collection; and the management module supervises the related items in the group based on the related item information, and sends a notification corresponding to the related items to each of the terminal devices in the group information. A computer-readable storage medium having stored thereon a computer program that, when executed by a processor, implements a group notification method based on user behavior as described in any one of claims 1 to 8 of the scope of patent application. step.