Anti-lost positioning system based on crowdsourcing mode

Abstract

The invention discloses an anti-lost positioning system based on a crowdsourcing mode, and relates to the technical field of positioning search, the anti-lost positioning system comprises a cloud server, an anti-lost positioning device and a mobile terminal, the cloud server comprises a database, a model and an algorithm, all parts are connected through wireless communication, and the anti-lost positioning device is installed on a searched target object. The position data of the anti-lost positioning devices in the system are collected and analyzed, guidance and help are provided for searching a single anti-lost positioning device according to the association among the position data of the anti-lost positioning devices, and the searching mode in the prior art which depends on the position data of the single anti-lost positioning device is converted into the searching mode which depends on the position data of multiple anti-lost positioning devices. The searching time is shortened, the searching efficiency is improved, and the safety threat of lost articles and the searching cost are reduced.

Description

Technical Field

[0001] The present invention relates to the field of positioning and searching technology, and in particular to an anti-lost positioning system based on a crowdsourcing mode. Background Art

[0002] At present, in order to prevent the elderly, children, pets, etc. from getting lost or losing their belongings, various types of wearable electronic devices and positioning devices are widely used. The Chinese invention patent with application number 202110769118.0 discloses a positioning and searching method based on the linkage of Bluetooth and GPS. By switching between GPS positioning and Bluetooth positioning, different accuracy requirements for long-distance and short-distance positioning are achieved. The Chinese invention patent with application number 202410067829.7 discloses an anti-lost device and a wireless communication system based on Bluetooth connection. The system includes a central processing module, a power management module, a Bluetooth module and a fingerprint module. The distance between the target object and the user is judged by the strength of the Bluetooth signal. The Chinese invention patent with application number 202410515091.6 discloses a miniature anti-lost positioning module that can actively send a distress signal, which is convenient for installation and real-time positioning, and can send an alarm signal to improve the positioning effect. The positioning method, positioning device or anti-lost device in the above invention improves the positioning effect, making the process of searching for the target object have accurate directionality. However, when the device and the distress signal are blocked, the distance is far, or the target object equipped with the device is a fast-moving child, pet, etc., the search process is still very time-consuming and the possibility of risks in the search process is also increased. In particular, when the device is lost, fails, or is manually dismantled, the real-time positioning function of the device fails, and the target object is very likely to be in trouble. At this time, the problem of search timeliness is particularly important. Therefore, it is of great significance to develop a system that fully utilizes the correlation of position data between anti-lost positioning devices and mutual assistance between devices to improve the efficiency of positioning and searching and reduce the risk of losing the target object. Summary of the invention

[0003] In order to solve the problems described in the above background technology, the present invention provides an anti-lost positioning system based on a crowdsourcing mode, which adopts a crowdsourcing mode to reasonably divide the location data collection and search tasks of the anti-lost positioning device, and changes from relying on the location data of a single anti-lost positioning device to relying on the location data of multiple anti-lost positioning devices for search, thereby shortening the search time, improving the search efficiency, and reducing the security threat and search cost of lost items.

[0004] To achieve the above purpose, the technical solution adopted by the present invention is: an anti-lost positioning system based on a crowdsourcing mode, the system includes a cloud server, an anti-lost positioning device, and a mobile terminal, the cloud server includes a database, a model and an algorithm, and each part is connected through wireless communication. The anti-lost positioning device is installed on the target object to be searched, and includes the following steps:

[0005] S1. Anti-lost positioning device configuration: Turn on the anti-lost positioning device, the anti-lost positioning device self-checks, the user associates the anti-lost positioning device through the mobile terminal, completes the characteristic information of the target object, the mobile terminal synchronously uploads the information to the cloud server database, and checks whether the position of the anti-lost positioning device is correct on the mobile terminal;

[0006] S2. During operation, the anti-lost positioning device transmits the location data and device data to the cloud server database in real time. If the location data changes less than the set threshold over a certain time interval, the data will no longer be transmitted to the cloud server until the location data changes more than the set threshold. The user can view the movement trajectory of the target object in real time on the mobile terminal;

[0007] S3 target object is lost, anti-lost positioning device and mobile terminal can initiate a request for help: the target object anti-lost positioning device sends a request for help to the cloud server, step S4, the user sends a request for help to the cloud server through the mobile terminal, step S5;

[0008] S4. The cloud server sends an alarm signal and the target object trajectory data, nearby environment data, and historical search information to the mobile terminal. After viewing, the user chooses to search by himself or request help from other users. When he chooses to request help, the user confirms the characteristic information of the target object and executes step S5. When he chooses to search by himself, the mobile terminal provides navigation to the destination;

[0009] S5. The cloud server calculates a list of anti-lost positioning devices with priority that can push help signals based on the model, and pushes it to the mobile terminal requesting help. The user selects the anti-lost positioning device to which the request for help signal is to be sent. The cloud server sends a request for help signal to a specific anti-lost positioning device and the mobile terminal associated therewith according to the user's selection, including the characteristic information and address of the target object to be found;

[0010] S6. The anti-lost positioning device that receives the request for help signal reminds the target object and the user through the display control module. The user views the characteristic information and location of the lost target object on the associated mobile terminal and can choose whether to provide help. For users who provide help, the cloud server calculates the search path and divides the search area according to the model. The helper shares the search situation in real time. The cloud server adjusts the search path and search area of ​​the helper's mobile terminal in real time through the model calculation in combination with the real situation;

[0011] S7 provides help to the user to find the lost target object, initiate a target object confirmation request through the mobile terminal, if so, execute step S8, if not, continue to help search;

[0012] S8. The user who requested help finds the lost target object, and ends the request for help through the mobile terminal. The cloud server pushes the search end information to the mobile terminal that receives the request for help signal. The cloud server evaluates the associated anti-lost positioning device based on the evaluation of the user who requested help and the actual contribution of the user who provided help.

[0013] Furthermore, the mobile terminal in step S1 can be associated with the anti-lost positioning device through Bluetooth configuration or code scanning configuration.

[0014] Furthermore, the anti-lost positioning device list in step S5 describes the device identification, location data, credit rating, whether it is a friend, whether it is online, and interaction time. The cloud server updates the anti-lost positioning device list in real time according to the movement of the target object to be found.

[0015] Furthermore, the assistance provided in step S6 includes providing clues. The cloud server performs preliminary screening and integration through model calculation and pushes them to the mobile terminals participating in the search in a timely manner. The user can adjust the search route after screening the information.

[0016] Furthermore, the models and algorithms of the cloud server include a list generation model for anti-lost positioning devices in a crowdsourcing mode, an optimal search path planning model, a data screening and integration algorithm, etc.

[0017] The anti-lost positioning device list generation model in the crowdsourcing mode is a calculation model that selects anti-lost positioning devices within a certain range at the current time node and whose positions interact with the trajectory data of the anti-lost positioning device to be found at the historical time node based on the trajectory data of the anti-lost positioning device, and sets priority sorting according to variables such as position, time, device data and motion characteristics.

[0018] The optimal path configuration model in the crowdsourcing mode divides the search area and path planning of the anti-lost positioning devices participating in the search according to the spatial position distribution, path information, real-time traffic information, device movement characteristics, natural environment, etc. of the anti-lost positioning devices participating in the search, and is continuously updated according to feedback information.

[0019] The data screening and integration algorithm pre-processes the data, filters out invalid data, and counts and integrates duplicate data.

[0020] Specifically, the mobile terminal is a mobile phone or tablet computer with Bluetooth and GPS functions and system software installed, and a map is also installed on the mobile terminal.

[0021] Furthermore, the anti-lost positioning device in the above system includes a microprocessor module and a positioning module connected thereto, a wireless communication module, a power module, a display and control module, an NFC reading and writing module, and an alarm module;

[0022] The microprocessor module includes data acquisition, data processing and execution modules;

[0023] The positioning module includes a Bluetooth positioning module and a satellite navigation positioning module, which are used to obtain the location information of the target object. The Bluetooth positioning module is used to receive and send Bluetooth signals to the mobile terminal, and the satellite navigation positioning module includes positioning modes such as BDS, GPS or BDS / GPS dual mode;

[0024] The wireless communication module includes an LTE communication module to realize data interaction with a cloud server or a mobile terminal;

[0025] The power module is a lithium battery, which meets the power supply requirements of each module;

[0026] The display and control module includes a signal display module signal, including a warning signal, a help signal, etc., and the alarm module is a help signal input module;

[0027] The NFC reading and writing module realizes contactless identification information interaction between anti-loss positioning devices.

[0028] Furthermore, the user can set the location data of the anti-lost positioning device not to be shared and send the location information directly to the mobile terminal.

[0029] The present invention has the positive effects: the anti-lost positioning system based on the crowdsourcing mode of the present invention relies on the collection and analysis of the position data of the anti-lost positioning device in the system, and provides guidance and assistance for finding a single anti-lost positioning device according to the association between the position data of the anti-lost positioning device. It changes from relying on the position data of a single anti-lost positioning device to relying on the position data of multiple anti-lost positioning devices for searching in the prior art, which shortens the searching time, improves the searching efficiency, and reduces the security threat and searching cost of lost items. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a schematic diagram of an anti-lost positioning system based on a crowdsourcing model;

[0031] Figure 2 This is the block diagram of the anti-lost positioning device. DETAILED DESCRIPTION

[0032] The technical solution of the present invention is clearly and completely described below through specific embodiments so that the present invention can be more easily understood by those skilled in the art.

[0033] Example

[0034] like Figure 1The anti-lost positioning system based on crowdsourcing mode shown in the figure includes a cloud server, an anti-lost positioning device, and a mobile terminal. The cloud server includes a database and a computing model. Each part is connected through wireless communication. The anti-lost positioning device is installed on the target object to be searched. Figure 2 The anti-lost positioning device shown includes a microprocessor module and a positioning module connected thereto, a wireless communication module, a power module, a display and control module, an NFC reading and writing module, and an alarm module. The mobile terminal is a mobile phone or tablet with system software installed, which has Bluetooth function and positioning function, and a map is also installed on the mobile terminal. The user uses the mobile terminal to initialize and configure the anti-lost positioning device through Bluetooth connection or scanning a QR code, and completes the information of the target object on the configuration page. After the configuration is completed, the information is stored in the cloud server database, the anti-lost positioning device joins the system, and the information is written into the NFC reading and writing module at the same time.

[0035] Turn on the power switch of the anti-lost positioning device, and the anti-lost positioning device starts the self-check program to ensure that the application version is correct and the positioning module is working properly. The positioning data and device data are transmitted to the cloud server database through the wireless communication module in real time. The user can view the location information of the anti-lost positioning device through the mobile terminal. The target object can bring the anti-lost positioning device close to the NFC reading and writing module to read the other party's information, and the two parties become friends, and send the information to the cloud server database.

[0036] In the first case, the user finds that the target object is lost, and uses the mobile terminal to view the movement trajectory of the anti-lost positioning device and navigate to find it by himself. If the same mobile terminal is associated with multiple anti-lost positioning devices, the efficiency of finding the target object can be improved by associating the location data of the devices to assist in finding.

[0037] In the second case, the user finds that the target object is lost, and sends a request for help signal and the information of the anti-lost positioning device to be found to the cloud server through the mobile terminal. The cloud server selects the anti-lost positioning devices within a certain range at the current time node that interact with the trajectory data of the anti-lost positioning device to be found at the historical time node, and sets the priority sorting according to the location, time, device data and motion characteristics to form a list of anti-lost positioning devices. If the anti-lost positioning device is online and the current time point is close to the anti-lost positioning device to be found, the priority is high. The cloud server sends the list of anti-lost positioning devices to the mobile terminal that sent the help signal, and the user checks the anti-lost positioning device to which the request for help signal is to be sent. The cloud server sends the request for help signal and the characteristic information and address of the target object to be found to the specific anti-lost positioning device and the mobile terminal associated with it according to the user's selection. The cloud server updates the list of anti-lost positioning devices in real time according to the movement of the target object to be found.

[0038] The anti-lost positioning device that receives the help request signal reminds the target object and the user through the display and control module. The user views the characteristic information and location of the lost target object on the associated mobile terminal and can choose whether to provide help. For users who provide help, the cloud server divides the search area and path planning of the anti-lost positioning devices participating in the search according to the spatial position distribution, path information, real-time traffic information, device movement characteristics, natural environment, etc. of the anti-lost positioning devices participating in the search. The user views the search area and path planning through the mobile terminal and can share the search situation in real time. The cloud server continuously adjusts the search path and search area of ​​the helper's mobile terminal based on the actual situation.

[0039] The user who provides help finds the lost target object and initiates a target object confirmation request through the mobile terminal. After confirmation with the user of the lost target object, if it is the target object, the user who requests help sends a request to end the request for help through the mobile terminal. The cloud server pushes the search end information to the mobile terminal that receives the request for help signal. The cloud server evaluates the associated anti-lost positioning device based on the evaluation of the user requesting help and the actual contribution of the user providing help; if not, continue searching.

[0040] The user who requests help finds the lost target object and ends the request for help through the mobile terminal. The cloud server pushes the search end information to the mobile terminal that receives the request for help signal. The cloud server evaluates the associated anti-lost positioning device based on the evaluation of the user who requests help and the actual contribution of the user who provides help, and stores the search process in the database.

[0041] In the third case, the target object can realize that it is lost and send a help signal through the alarm module of the anti-lost positioning device. After receiving the help signal, the cloud server sends an alarm signal and the target object's trajectory data, nearby environment data, and historical search information to the associated mobile terminal. After viewing, the user chooses to search by himself or ask other users for help. When choosing to ask for help, the user confirms the characteristic information of the target object and switches to the second case. When choosing to search by himself, the mobile terminal provides destination navigation. If the user does not respond through the mobile terminal, the cloud server will continue to send information to the mobile terminal.

[0042] Through crowdsourcing anti-lost positioning device location data collection and crowdsourcing search task division, the correlation between the location data of the anti-lost positioning device is fully utilized, and the efficiency of finding the target object is improved.

[0043] The above-mentioned implementation mode is only for illustrating the technical concept and features of the present invention, and its purpose is to enable people familiar with this technology to understand the content of the present invention and implement it. Any equivalent changes or modifications made according to the spirit of the present invention should be included in the protection scope of the present invention.

Claims

1. An anti-lost positioning system based on crowdsourcing mode, characterized by: The system includes a cloud server, an anti-lost positioning device, and a mobile terminal. The cloud server includes a database, a model, and an algorithm. Each part is connected via wireless communication. The anti-lost positioning device is installed on the target object to be searched, and includes the following steps: S1. Anti-lost positioning device configuration: Turn on the anti-lost positioning device, the anti-lost positioning device self-checks, the user associates the anti-lost positioning device through the mobile terminal, completes the characteristic information of the target object, the mobile terminal synchronously uploads the information to the cloud server database, and checks whether the position of the anti-lost positioning device is correct on the mobile terminal; S2. During operation, the anti-lost positioning device transmits the location data and device data to the cloud server database in real time, and the user can view the movement trajectory of the target object in real time on the mobile terminal; S3 target object is lost, anti-lost positioning device and mobile terminal can initiate a request for help: the target object anti-lost positioning device sends a request for help to the cloud server, step S4, the user sends a request for help to the cloud server through the mobile terminal, step S5; S4. The cloud server sends an alarm signal and the target object trajectory data, nearby environment data, and historical search information to the mobile terminal. After viewing, the user chooses to search by himself or request help from other users. When he chooses to request help, the user confirms the characteristic information of the target object and executes step S5. When he chooses to search by himself, the mobile terminal provides navigation to the destination; S5. The cloud server calculates a list of anti-lost positioning devices with priority that can push help signals based on the model, and pushes it to the mobile terminal requesting help. The user selects the anti-lost positioning device to which the request for help signal is to be sent. The cloud server sends a request for help signal to a specific anti-lost positioning device and the mobile terminal associated therewith according to the user's choice, as well as feature information and location information of the target object to be found; S6. The anti-lost positioning device that receives the request for help signal reminds the target object and the user through the display control module. The user views the characteristic information and location of the lost target object on the mobile terminal and can choose whether to provide help. For users who provide help, the cloud server calculates the search path and divides the search area according to the model and sends it to the mobile terminal. The helper shares the search situation in real time. The cloud server adjusts the search path and search area in real time based on the model calculation in combination with the actual situation; S7 provides help to the user to find the lost target object, initiates a target object confirmation request through the mobile terminal, and if so, executes step S8, if not, continue searching; S8. The user who requested help finds the lost target object, and ends the request for help through the mobile terminal. The cloud server pushes the search end information to the mobile terminal that receives the request for help signal. The cloud server evaluates the associated anti-lost positioning device based on the evaluation of the user who requested help and the actual contribution of the user who provided help.

2. The anti-lost positioning system based on crowdsourcing mode according to claim 1 is characterized in that: The mobile terminal in step S1 can be associated with the anti-lost positioning device through Bluetooth configuration or code scanning configuration.

3. The anti-lost positioning system based on crowdsourcing mode according to claim 1, characterized in that: The anti-lost positioning device list in step S5 is updated in real time by the cloud server according to the movement of the target object to be found.

4. The anti-lost positioning system based on crowdsourcing mode according to claim 1, characterized in that: The assistance provided in step S6 includes providing clues, and the cloud server performs preliminary screening and integration through model calculation and pushes them to the mobile terminals participating in the search in a timely manner.

5. The anti-lost positioning system based on crowdsourcing mode according to claim 1 or 2, characterized in that: The mobile terminal is a mobile phone or tablet with Bluetooth and GPS functions and system software installed, and a map is also installed on the mobile terminal.

6. The anti-lost positioning system based on crowdsourcing mode according to any one of claims 1 to 3, characterized in that: The anti-lost positioning device includes a microprocessor module and a positioning module connected thereto, a wireless communication module, a power module, a display and control module, an NFC reading and writing module, and an alarm module; The microprocessor module includes data acquisition, data processing and execution modules; The positioning module includes a Bluetooth positioning module and a satellite navigation positioning module, which are used to obtain the location information of the target object. The Bluetooth positioning module is used to receive and send Bluetooth signals to and from the mobile terminal. The wireless communication module includes an LTE communication module to realize data interaction with a cloud server or a mobile terminal; The power module is a lithium battery, which meets the power supply requirements of each module; The display and control module is a signal display module, and the alarm module is a help signal input module; The NFC reading and writing module realizes contactless identification information interaction between anti-loss positioning devices.

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