An emergency law enforcement equipment management method and system

Abstract

The application provides an emergency law enforcement equipment management method and system, and relates to the technical field of equipment management.The emergency law enforcement equipment management method comprises the following steps: step S1, inputting equipment information; step S2, quickly binding the equipment; step S3, monitoring the equipment state, synchronizing the equipment state information of the bound equipment through Bluetooth and the Internet, storing the equipment state information in a database, and performing data analysis on the equipment state information by a neural network model based on the server; and step S4, performing daily management of the equipment.The equipment state information is synchronized through the cooperation of Bluetooth and the Internet, the data analysis is performed on the equipment state information by the neural network model based on the server, the real-time acquisition of the equipment information is realized, and the intelligent management of the law enforcement equipment is realized by fully utilizing the equipment state information.

Description

Technical Field

[0001] This invention relates to the field of equipment management technology, and in particular to a method and system for managing emergency law enforcement equipment. Background Technology

[0002] Emergency law enforcement equipment is an indispensable tool for law enforcement personnel to solve emergency tasks. The availability and maintenance quality of emergency law enforcement equipment directly affect the effectiveness of emergency task execution. An emergency law enforcement equipment management system is a necessary means to improve the level of equipment management.

[0003] Typical emergency law enforcement equipment management systems are limited to managing equipment attribute information and activities related to the equipment, such as equipment registration, maintenance, and replacement. They mainly realize the daily use management of emergency law enforcement equipment and are primarily based on a B / S architecture management system.

[0004] However, in the process of implementing the technical solutions in the embodiments of this application, the inventors of this application discovered that the above-mentioned technology has at least the following technical problems:

[0005] 1) It does not support mobile office. The typical B / S structure of emergency law enforcement equipment management system has limited use scenarios. In the context of the rapid development of mobile Internet, it can no longer meet the needs of law enforcement officers and managers to manage equipment and obtain dynamic information of equipment anytime and anywhere. It is an urgent need for law enforcement officers to rely on their personal devices to manage law enforcement equipment and interact with the equipment.

[0006] 2) Inability to monitor equipment status in real time. A law enforcement officer is usually equipped with multiple electronic devices. Traditional emergency law enforcement equipment management systems can only manage the attributes of the devices themselves and their ownership relationships. They lack the ability to monitor the real-time status of the devices, which can easily lead to situations such as insufficient battery power or insufficient storage space during law enforcement, affecting the normal functioning of the devices and hindering the successful completion of law enforcement tasks. Summary of the Invention

[0007] To overcome the shortcomings of existing technologies in managing emergency law enforcement equipment, such as the inability to monitor the status of the equipment in real time and the inability to conduct mobile office work, this application provides an emergency law enforcement equipment management method and system. By cooperating with Bluetooth and the Internet, the system achieves synchronization of equipment status information. Based on the equipment status information, the server performs data analysis through a neural network model. This enables real-time acquisition of equipment information while fully utilizing the equipment status information to achieve intelligent management of law enforcement equipment.

[0008] The technical solution adopted by the embodiments of this application to solve its technical problem is:

[0009] The management methods for emergency law enforcement equipment include the following steps:

[0010] Step S1: Enter device information;

[0011] Step S2: Quickly bind the device;

[0012] Step S3: Monitor device status, synchronize device status information with the bound device via Bluetooth and the Internet, store the device status information in the database, and the server performs data analysis based on the device status information using a neural network model;

[0013] Step S4: Perform daily management of the equipment.

[0014] Preferably, in step S1, the equipment manufacturer provides standardized equipment information, which is stored in the system database through a webService interface.

[0015] Preferably, in step S3, the bound emergency law enforcement equipment is divided into emergency law enforcement equipment with a built-in status information acquisition SDK and emergency law enforcement equipment with an installed equipment information collection and reporting client program.

[0016] Preferably, the emergency law enforcement device with built-in status information acquisition SDK transmits the device status information to the law enforcement terminal via the status information acquisition SDK and Bluetooth, and the law enforcement terminal transmits the device status information to the server via the Internet.

[0017] Preferably, the equipment information collection and reporting client program in the emergency law enforcement equipment will automatically and periodically report the equipment status information to the server via the Internet.

[0018] Preferably, the specific process of the device information collection and reporting client reporting the status information includes:

[0019] Step S31: The device information collection and reporting client sends the device number to the device number verification interface;

[0020] Step S32: The device number verification interface returns the verification result;

[0021] Step S33: If the verification is successful, the device information collection and reporting client sends the device number and the device status information to the device information upload interface;

[0022] Step S34: The device information upload interface returns the upload operation result and the information upload interval configuration.

[0023] Preferably, in step S3, the server performs device status monitoring and application scenario analysis based on the device status information using a neural network model.

[0024] Preferably, the specific process of the device status monitoring is as follows: the input information is divided into device information and usage information; the device information is input into a first neural network; the first neural network can comprehensively judge the health status of the device based on the device's power consumption and storage space, and obtain a first result; the usage information is input into a second neural network; the second neural network judges the usage frequency and intensity of the device based on acceleration data, and obtains a second result; the first result and the second result are processed by a third neural network to obtain a prediction result for the future status of the law enforcement device; the data analysis program generates an analysis report based on the status prediction result and an analysis report template, and sends it to the law enforcement personnel and managers associated with the device.

[0025] Preferably, the specific process of the application scenario analysis is to summarize and analyze the common application scenarios of law enforcement equipment, obtain corresponding analysis and prediction models through training, substitute the state prediction results of each law enforcement equipment obtained through the equipment state monitoring into each analysis and prediction model, generate the final analysis report based on the output results of each analysis and prediction model, and verify whether the overall state of the current law enforcement equipment can meet the various application scenarios.

[0026] The emergency law enforcement equipment management system includes a server, device A, device B, a law enforcement terminal, a mobile terminal, and a web interface. Device A communicates with the server through the law enforcement terminal. Device B, the mobile terminal, and the web interface communicate with the server. The server includes a web service interface, a device number verification interface, a device information upload interface, and a database. Device A is an emergency law enforcement device with a built-in status information acquisition SDK. Device B is an emergency law enforcement device with a device information collection and reporting client program installed. The emergency law enforcement equipment management system can implement the above-mentioned emergency law enforcement equipment management method.

[0027] The advantages of the embodiments of this application are:

[0028] 1. By combining Bluetooth and the Internet, the device status information of bound devices is synchronized and stored in the database, allowing law enforcement officers and managers to manage or access device information anytime and anywhere through a mobile terminal APP;

[0029] 2. Based on device status information, the server uses a neural network model to monitor device status and analyze application scenarios, making full use of device status information to achieve intelligent management of law enforcement equipment. Attached Figure Description

[0030] Figure 1 This is a flowchart of the emergency law enforcement equipment management method of the present invention;

[0031] Figure 2This is a schematic diagram illustrating the device information synchronization of the present invention;

[0032] Figure 3 This is a flowchart of the device information collection and reporting client reporting status information according to the present invention;

[0033] Figure 4 This is a flowchart of the equipment maintenance process of the present invention;

[0034] Figure 5 This is a flowchart of the equipment replacement process of the present invention;

[0035] Figure 6 This is a flowchart of the equipment handover process for this invention;

[0036] Figure 7 This is a flowchart of the equipment inventory process of this invention;

[0037] Figure 8 This is a structural diagram of the emergency law enforcement equipment management system of the present invention. Detailed Implementation

[0038] This application provides an emergency law enforcement equipment management method and system to solve the problem in the prior art that the status of emergency law enforcement equipment cannot be detected in real time and mobile office is not possible. The technical solution uses the cooperation of Bluetooth and the Internet to synchronize equipment status information, so that the server can perform data analysis based on the equipment status information through a neural network model, thereby realizing the intelligent management of law enforcement equipment by making full use of the equipment status information.

[0039] The technical solution in this application is to solve the above problems, and the overall approach is as follows:

[0040] Example 1:

[0041] like Figure 1 As shown, the emergency law enforcement equipment management method proposed in this embodiment of the invention specifically includes the following steps:

[0042] Step S1: Enter Equipment Information. Emergency law enforcement equipment is numerous. If the equipment administrator were to enter the information for each device individually after delivery, it would be time-consuming and prone to errors. Therefore, this invention provides a web service interface for equipment manufacturers to upload equipment information. The equipment manufacturers proactively provide standardized equipment information, which is stored in the system database through the interface for rapid equipment information binding.

[0043] Step S2: Quickly bind the device. The administrator scans the QR code on the device box using the mobile app, decodes the QR code to obtain the device box ID, and then binds the device to the administrator's department. Law enforcement officers scan the QR code on the device box using the mobile app to bind the devices belonging to their department to their own name. This establishes a subordinate relationship between the device and the law enforcement officer, and subsequent use and maintenance of the device can only be performed by the law enforcement officer.

[0044] Step S3: Monitor device status. The bound emergency enforcement devices fall into two categories: First, the emergency enforcement devices themselves have a built-in status information acquisition SDK, which can be used to obtain device information; second, the emergency enforcement devices themselves do not have a dedicated SDK. This invention provides two versions of device information collection and reporting client programs for Windows and Android, which are installed on the emergency enforcement devices. All emergency enforcement devices are equipped with accelerometers that can simultaneously detect lateral and longitudinal acceleration. For example... Figure 2 As shown, Device A is an emergency law enforcement device with a built-in status information acquisition SDK, and Device B is an emergency law enforcement device with a device information collection and reporting client program installed. Device A transmits information such as battery level and storage space to the law enforcement terminal via the status information acquisition SDK and Bluetooth. The law enforcement terminal transmits the device status information to the server via the internet, and the law enforcement terminal can display the status information of the emergency law enforcement device through an APP. The device information collection and reporting client program in Device B automatically and periodically reports the device's battery level, storage space, and other status information to the server via the internet. Figure 3 As shown, the specific process of the device information collection and reporting client reporting status information includes: Step S31, the device information collection and reporting client sends the device number to the device number verification interface on the server; Step S32, the device number verification interface returns the verification result; Step S33, if the verification is successful, the device information collection and reporting client sends the device number and device status information to the device information upload interface on the server; Step S34, the device information upload interface returns the upload operation result and the information upload interval configuration. Modifying the information upload interval configuration for each emergency law enforcement device individually is time-consuming. This invention automatically configures the information upload interval for each emergency law enforcement device by returning the upload interval value configured on the server through the device information upload interface. The system dynamically synchronizes data with user-bound devices via Bluetooth, the Internet, etc., obtaining information such as device battery level, storage space, and acceleration data, and stores the device status information in a database for use by other applications, such as large-screen systems.

[0045] The server performs device status monitoring and application scenario analysis based on device status information. The specific process of device status monitoring involves dividing the input information into device information and usage information. Device information includes battery level and storage space, while usage information includes acceleration data. The device information is input into a first neural network. Real-time battery level data reflects the device's power consumption, indirectly indicating whether the battery capacity is decreasing. Storage space data reflects whether the data in the device is adequate and whether the remaining space can meet the needs of law enforcement tasks. Based on battery level and storage space, the first neural network can comprehensively judge the device's health status, obtaining a first set of scores. Considering the complexity of the classification cases that the first neural network needs to consider, the AdaBoost classifier is selected. The AdaBoost classifier is composed of multiple decision tree weak classifiers and has high classification accuracy. The information is input into the second neural network. Acceleration data can reflect the usage time and status of law enforcement equipment, indirectly reflecting the equipment's usage. The second neural network judges the usage frequency and intensity of the equipment based on the acceleration data, and the second result is a second array of scores. Since the data pattern faced by the second neural network is relatively simple, a decision tree classifier can be used to simplify the computational complexity, which is relatively fast. The first and second results are processed by the third neural network to obtain the state prediction result for predicting the future state of law enforcement equipment. The state prediction result is also an array of scores. The third neural network uses the Softmax model. The data analysis program generates an analysis report based on the state prediction result and an analysis report template, and sends it to the law enforcement and management personnel associated with the equipment. The specific process of application scenario analysis involves summarizing and analyzing the common application scenarios of law enforcement equipment, and training corresponding analysis and prediction models. Common application scenarios include routine inspections, quarterly inspections, year-end major inspections, surprise inspections, and special inspections. The analysis and prediction models use multilayer artificial neural networks (ANNs), and the neuron composition methods differ between different analysis and prediction models. The status prediction results of each law enforcement device obtained through equipment status monitoring are substituted into each analysis and prediction model. Based on the output results of each analysis and prediction model, a final analysis report is generated to verify whether the overall status of the current law enforcement equipment can meet the various application scenarios, providing a reference for law enforcement equipment management.

[0046] Step S4: Conduct daily management of the equipment. Daily management of emergency law enforcement equipment includes equipment maintenance, equipment replacement, equipment handover, and equipment inventory.

[0047] (1) Equipment maintenance

[0048] Equipment repair requires the law enforcement officer associated with the equipment to submit a repair application. The application is tracked based on its application number and equipment number until approval is granted, and the repair status is updated upon completion of the repair. For example... Figure 4 As shown, the specific process of equipment maintenance includes:

[0049] Step S411: Law enforcement officers fill out an equipment repair application form. The form can be filled out on a mobile terminal or on a web platform.

[0050] Step S412: The administrator approves the equipment repair application. The approval process can be performed on a mobile terminal or on the web.

[0051] Step S413: If the approval is granted, the administrator will contact the manufacturer offline for repairs and register the information on the equipment sent for repair, repaired and returned, and the backup equipment.

[0052] Step S414: After the repair is completed, the administrator notifies the law enforcement personnel.

[0053] Step S415: After receiving the notification, law enforcement officers retrieved the equipment offline.

[0054] (2) Equipment replacement

[0055] Equipment replacement is used for equipment that is unrepairable, lost, or destroyed. Equipment replacement involves the purchase of new equipment, which requires registration and approval. After approval, the equipment is purchased according to the type requested for replacement. After purchase, the administrator updates and replaces the equipment number in the system. The information of the new equipment is obtained from the equipment manufacturer through a data upload interface. For example... Figure 5 As shown, the specific process for equipment replacement includes:

[0056] Step S421: Law enforcement officers fill out an equipment replacement application form. The form can be filled out on a mobile device or on a web-based platform.

[0057] Step S422: The administrator approves the device replacement application. The approval process can be performed on a mobile terminal or on the web.

[0058] Step S423: If the approval is granted, the administrator will contact the manufacturer offline to provide new equipment.

[0059] Step S424: After the new equipment arrives, the administrator fills in the new equipment number and notifies law enforcement personnel.

[0060] Step S425: After receiving the notification, law enforcement officers retrieved the equipment offline.

[0061] (3) Equipment handover

[0062] Equipment handover is used for the transfer of equipment by law enforcement personnel during job relocation. The person handing over the equipment submits a handover application, which is then approved by the administrator. The system automatically transfers the equipment's ownership from the initiator to the recipient, automatically releasing the original user's binding relationship and establishing a new one. For example... Figure 6 As shown, the specific process of equipment handover includes:

[0063] Step S431: The law enforcement officer handing over the equipment fills out the equipment handover application form. The form can be filled out on a mobile terminal or on the web.

[0064] Step S432: The administrator approves the equipment handover application. The approval process can be performed on a mobile terminal or on the web.

[0065] Step S433: If the approval is approved, the system automatically transfers the equipment affiliation from the law enforcement officer who handed over the equipment to the law enforcement officer who received the equipment.

[0066] Step S434: The administrator notifies the law enforcement personnel who handed over the equipment and the law enforcement personnel who received the equipment.

[0067] (4) Equipment inventory

[0068] Law enforcement equipment requires regular inventory checks to obtain comprehensive equipment status information and proactively identify damaged or missing equipment. The inventory process involves administrators creating inventory tasks, law enforcement personnel manually checking the equipment and reporting the status of each device through the system. The system automatically compiles these reports into an inventory report, providing law enforcement managers with a complete overview of their unit's law enforcement equipment, including its deployment and availability. Figure 7 As shown, the specific process of equipment inventory includes:

[0069] Step S441: The administrator creates an inventory task. The creation operation can be performed on a mobile terminal or on the web.

[0070] Step S442: Law enforcement officers enter the status of the inventory equipment and submit the status information of each piece of equipment through the system.

[0071] Step S443: After all equipment has been inventoried, the system will automatically compile an inventory report and end the inventory process.

[0072] Example 2:

[0073] like Figure 8As shown, the emergency law enforcement equipment management system includes a server, device A, device B, a law enforcement terminal, a mobile terminal, and a web interface. Device A communicates with the server via the law enforcement terminal. Device B, the mobile terminal, and the web interface communicate with the server via the internet. The server includes a web service interface, a device number verification interface, a device information upload interface, and a database. The web service interface is used for inputting device information and receiving standardized device information provided by the manufacturer. The device number verification interface and the device information upload interface work together to enable device B to upload status information. Device A is an emergency law enforcement device with a built-in status information acquisition SDK. Device A transmits information such as device battery level and storage space to the law enforcement terminal via the status information acquisition SDK and Bluetooth. The law enforcement terminal transmits the device status information to the server via the internet. Device B is an emergency law enforcement device with a device information collection and reporting client program installed. The device information collection and reporting client program in device B automatically and periodically reports the device's battery level, storage space, and other status information to the server via the internet. Law enforcement personnel can access device information at any time via the mobile terminal and the web interface. The emergency law enforcement equipment management system can implement the emergency law enforcement equipment management method in Example 1.

[0074] This invention utilizes technologies such as mobile internet, QR codes, and Bluetooth to synchronously collect device status information and transmit it to a server. This allows law enforcement personnel and managers to access device status information anytime, anywhere via mobile apps and web interfaces, providing a means for managing and obtaining information about law enforcement equipment. This makes equipment management more efficient, enabling continuous equipment monitoring and maintaining optimal readiness. Simultaneously, based on the device status information, the server employs a neural network model for equipment status monitoring and application scenario analysis, fully leveraging device status information to achieve intelligent management of law enforcement equipment.

[0075] Finally, it should be noted that the above embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for managing emergency law enforcement equipment, characterized in that... The emergency law enforcement equipment management method includes the following steps: Step S1: Enter device information; Step S2: Quickly bind the device; Step S3: Monitor device status, synchronize device status information of the bound device via Bluetooth and Internet, store the device status information in the database, and the server performs data analysis based on the device status information using a neural network model; Step S4: Perform routine equipment management; The server uses a neural network model to monitor device status and analyze application scenarios based on the device status information. The specific process of the equipment status monitoring is as follows: the input information is divided into equipment information and usage information. The equipment information is input into a first neural network. The first neural network judges the health status of the equipment based on the equipment power and storage space, and obtains a first result. The usage information is input into a second neural network. The second neural network judges the usage frequency and usage intensity of the equipment based on acceleration data, and obtains a second result. The first result and the second result are processed by a third neural network to obtain a prediction result for the future status of law enforcement equipment. The data analysis program generates an analysis report based on the status prediction result and an analysis report template, and sends it to the law enforcement personnel and management personnel associated with the equipment. The specific process of application scenario analysis is as follows: the conventional application scenarios of law enforcement equipment are summarized and analyzed, corresponding analysis and prediction models are obtained through training, the state prediction results of each law enforcement equipment obtained through the equipment state monitoring are substituted into each analysis and prediction model, and the final analysis report is generated based on the output results of each analysis and prediction model to verify whether the overall state of the current law enforcement equipment can meet the various application scenarios.

2. The emergency law enforcement equipment management method according to claim 1, characterized in that, In step S1, the equipment manufacturer provides standardized equipment information, which is stored in the system database through a webService interface.

3. The emergency law enforcement equipment management method according to claim 1, characterized in that, In step S3, the bound emergency law enforcement equipment is divided into emergency law enforcement equipment with built-in status information acquisition SDK and emergency law enforcement equipment with installed equipment information collection and reporting client program.

4. The emergency law enforcement equipment management method according to claim 3, characterized in that, The emergency law enforcement device with its built-in status information acquisition SDK transmits the device status information to the law enforcement terminal via the status information acquisition SDK and Bluetooth. The law enforcement terminal then transmits the device status information to the server via the Internet.

5. The emergency law enforcement equipment management method according to claim 3, characterized in that, The client program for collecting and reporting equipment information in emergency law enforcement equipment will automatically and periodically report the equipment status information to the server via the Internet.

6. The emergency law enforcement equipment management method according to claim 5, characterized in that, The specific process of the device information collection and reporting client reporting the status information includes: Step S31: The device information collection and reporting client sends the device number to the device number verification interface; Step S32: The device number verification interface returns the verification result; Step S33: If the verification is successful, the device information collection and reporting client sends the device number and the device status information to the device information upload interface; Step S34: The device information upload interface returns the upload operation result and the information upload interval configuration.

7. An emergency law enforcement equipment management system, characterized in that... The emergency law enforcement equipment management system includes a server, device A, device B, a law enforcement terminal, a mobile terminal, and a web interface. Device A communicates with the server through the law enforcement terminal. Device B, the mobile terminal, and the web interface communicate with the server. The server includes a web service interface, a device number verification interface, a device information upload interface, and a database. Device A is an emergency law enforcement device with a built-in status information acquisition SDK. Device B is an emergency law enforcement device with a device information collection and reporting client program installed. The emergency law enforcement equipment management system can implement the emergency law enforcement equipment management method according to any one of claims 1-6.

Images