Electronic fence safety control method and system based on behavior analysis

Abstract

The invention discloses an electronic fence safety control method and system based on behavior analysis. The method comprises the following steps: acquiring a signal of a fence area in real time through electronic fence equipment, and starting video monitoring equipment to obtain real-time video data; the central processing unit carries out preprocessing, target detection and tracking on the collected signals and data, analyzes a behavior mode of a target by utilizing a behavior analysis algorithm, and judges whether an abnormal behavior exists or not. And according to the behavior analysis result, making a decision according to a preset control strategy, controlling the electronic fence equipment to be turned on or turned off or triggering an alarm device, and recording related information of the abnormal event. According to the system and the method, multiple technical means are fused, so that accurate detection and quick response to security threats are realized, the intelligent level of security protection is improved, the false alarm rate is reduced, and the reliability and expandability of the system are enhanced.

Description

Technical Field

[0001] This application relates to the field of security control technology, and in particular to an electronic fence security control method and system based on behavior analysis. Background Technology

[0002] With societal development and technological advancements, the security field faces increasing challenges. While traditional electronic fence systems offer some physical protection, their functionality is relatively limited, relying primarily on physical barriers and simple alarm mechanisms. They lack the capacity for in-depth analysis and prediction of intrusion behavior. For instance, upon detecting an intrusion, a traditional electronic fence can only issue an alarm, unable to determine the intruder's intent and behavioral patterns, leading to a high false alarm rate and hindering timely implementation of targeted measures. Simultaneously, while video surveillance systems can record the situation, they typically require manual real-time monitoring or post-incident review, failing to achieve automated security control and real-time response.

[0003] Therefore, how to combine electronic fences with video surveillance technology to form a system capable of security control based on behavior analysis has become an urgent problem to be solved in the current security protection field. Summary of the Invention

[0004] Based on this, the embodiments of this application provide an electronic fence security control method and system based on behavior analysis. By integrating electronic fence and video surveillance technologies, and using behavior analysis algorithms to monitor and analyze intrusion behavior in real time, more efficient and accurate security control can be achieved, the false alarm rate can be reduced, and the level of intelligence of security protection can be improved.

[0005] Firstly, a behavior analysis-based electronic fence security control method is provided, which includes:

[0006] The electronic fence device collects signals from the fenced area in real time; the signals include voltage change signals and current change signals, which are used to reflect the status of the fence.

[0007] Activate the video surveillance equipment corresponding to the electronic fence area to acquire real-time video data; wherein, the video data includes image information of people or objects within the fenced area;

[0008] The collected electronic fence signals and video surveillance data are transmitted to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracts key features, performs target detection and tracking on the video data, identifies people or objects within the fenced area, and tracks their movement trajectories.

[0009] By combining behavioral analysis algorithms with electronic fence signals and video data, the behavioral patterns of the target are analyzed to determine whether there is abnormal behavior and generate behavioral analysis results; wherein, the abnormal behavior includes at least rapid movement, climbing, and prolonged stay.

[0010] Based on the behavioral analysis results, decisions are made according to the preset control strategy to control the opening and closing of the electronic fence equipment or trigger the alarm device, and relevant information on abnormal events is recorded.

[0011] Optionally, the electronic fence device specifically includes a pulse electronic fence, a tension electronic fence, and a vibration electronic fence. The pulse electronic fence can generate periodic high-voltage pulse signals to detect intrusion behavior; the tension electronic fence determines whether someone is climbing or damaging the fence by detecting changes in the fence's tension; and the vibration electronic fence identifies abnormal behavior by detecting the vibration frequency and amplitude of the fence.

[0012] The video surveillance equipment includes a high-definition camera, an infrared camera, and a panoramic camera. The high-definition camera can provide high-resolution images for clear identification of details of people and objects; the infrared camera can operate normally in low-light conditions to ensure the effectiveness of nighttime monitoring; and the panoramic camera can cover a wider monitoring range and reduce blind spots.

[0013] Optionally, the behavior analysis algorithm includes machine learning algorithms and deep learning algorithms, wherein the machine learning algorithms include support vector machines, decision trees, and random forests, and the deep learning algorithms include convolutional neural networks and recurrent neural networks;

[0014] Behavioral analysis algorithms can learn and optimize themselves based on historical data, including past intrusion event records, normal behavior patterns, and false alarm cases. Through continuous learning and adjustment, the algorithm can improve the accuracy of identifying abnormal behavior and reduce the false alarm rate.

[0015] Behavioral analysis algorithms also include analysis incorporating environmental factors, such as the impact of different weather conditions on behavioral patterns, and the analysis of human activity patterns at different time periods.

[0016] Optionally, the preset control strategy includes controlling the electronic fence device to issue alarm signals of different levels according to the type and severity of the abnormal behavior. The alarm signals include sound alarms, light alarms and SMS notifications. The sound alarms can adjust the volume and frequency according to the urgency of the abnormal behavior. The light alarms can convey different alarm information through flashing frequency and color changes. The SMS notifications can be sent to preset security personnel or managers to inform them of the specific information of the abnormal event.

[0017] The control strategy also includes automatically saving video data of the abnormal time period when abnormal behavior is detected, and sending relevant information about the abnormal event to the monitoring center or the mobile devices of relevant personnel. The relevant information about the abnormal event includes time, location, behavior pattern, and target characteristics, so as to facilitate subsequent investigation and analysis.

[0018] The control strategy can also be dynamically adjusted according to the current state of the electronic fence area, which includes normal state, alert state and emergency state. The alert state is triggered by abnormal behavior or system warning, and the emergency state is triggered by external threats or internal failures. Different control measures are taken in different states, including restricting access, triggering alarms, and notifying security personnel.

[0019] Optionally, the method further includes:

[0020] The collected electronic fence signals, video surveillance data, and behavior analysis results are stored in a database, and the data is analyzed regularly to evaluate the system's performance. Based on the feedback, the behavior analysis algorithm and security control strategy are adjusted and optimized. The database adopts a distributed storage architecture, which supports high-concurrency writing and fast querying. The distributed storage architecture can ensure efficient storage and retrieval of data across multiple devices or nodes.

[0021] The database can encrypt the stored data to ensure its security and integrity. The encryption process includes encrypting the data during storage and transmitting it during data transmission to prevent the data from being stolen or tampered with. The database can also automatically clean up expired data and free up storage space according to preset rules, which can be formulated based on the importance and frequency of use of the data.

[0022] Optionally, the method also includes regular maintenance and upgrades of the system. The maintenance includes checking the operating status of the electronic fence equipment and video surveillance equipment, replacing damaged parts, and ensuring the normal operation of the equipment. The upgrades include updating the behavior analysis algorithm, optimizing the control strategy, and upgrading the database management system to adapt to changing security needs and improve system performance.

[0023] Secondly, a behavior analysis-based electronic fence security control system is provided, which includes:

[0024] The data acquisition module is used to acquire signals from the fenced area in real time through the electronic fence device; wherein, the signals include voltage change signals and current change signals, which are used to reflect the status of the fence;

[0025] The acquisition module is used to activate the video surveillance equipment corresponding to the electronic fence area and acquire real-time video data; wherein, the video data includes image information of people or objects within the fence area;

[0026] The processing module is used to transmit the collected electronic fence signals and video surveillance data to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracts key features, performs target detection and tracking on the video data, identifies people or objects within the fenced area, and tracks their movement trajectories.

[0027] The analysis module is used to analyze the target's behavior patterns by combining behavior analysis algorithms with electronic fence signals and video data, determine whether there is abnormal behavior, and generate behavior analysis results; wherein, the abnormal behavior includes at least rapid movement, climbing, and prolonged stay;

[0028] The control module is used to make decisions based on the behavior analysis results and according to the preset control strategy, control the opening and closing of the electronic fence equipment or trigger the alarm device, and record relevant information of abnormal events.

[0029] Thirdly, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the electronic fence security control method described in any of the first aspects above.

[0030] Fourthly, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the electronic fence security control method described in any of the first aspects above.

[0031] Fifthly, a computer program product is provided, on which a computer program is stored, and when the computer program is executed by a processor, it implements the electronic fence security control method described in any of the first aspects above.

[0032] The beneficial effects of the technical solutions provided in this application include at least the following:

[0033] (1) By integrating electronic fence and video surveillance technologies and introducing behavior analysis algorithms, intrusion behavior can be monitored and intelligently analyzed in real time. Compared with traditional electronic fence systems, this invention can not only detect intrusion behavior, but also determine the intruder's intent and behavior patterns, thereby achieving more precise security control, effectively reducing false alarm rates, and improving the level of intelligence in security protection.

[0034] (2) When abnormal behavior is detected, the system can make rapid decisions based on preset control strategies, such as triggering alarm devices or notifying security personnel, to ensure that security threats can be dealt with in a timely manner. At the same time, the system will automatically save video data during the abnormal period, providing strong support for subsequent investigation and analysis, and enhancing the timeliness and effectiveness of security response. Attached Figure Description

[0035] To more clearly illustrate the embodiments of this application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0036] Figure 1 A flowchart illustrating the steps of an electronic fence security control method based on behavior analysis, provided in an embodiment of this application;

[0037] Figure 2 A block diagram of an electronic fence security control system based on behavior analysis provided in an embodiment of this application;

[0038] Figure 3 This is a schematic diagram of an electronic device provided in an embodiment of this application. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0040] In the description of this application, the terms "comprising," "having," and any variations thereof are intended to cover non-exclusive inclusion, such as a process, method, system, product, or apparatus that includes a series of steps or units, not necessarily limited to those steps or units that are expressly listed, but may also include other steps or units that are not expressly listed but are inherent to these processes, methods, products, or apparatuses, or steps or units added based on further optimizations conceived in this application.

[0041] With societal development and technological advancements, the security field faces increasing challenges. While traditional electronic fence systems offer some physical protection, their functionality is relatively limited, relying primarily on physical barriers and simple alarm mechanisms. They lack the capacity for in-depth analysis and prediction of intrusion behavior. For instance, upon detecting an intrusion, a traditional electronic fence can only issue an alarm, unable to determine the intruder's intent and behavioral patterns, leading to a high false alarm rate and hindering timely implementation of targeted measures. Simultaneously, while video surveillance systems can record the situation, they typically require manual real-time monitoring or post-incident review, failing to achieve automated security control and real-time response.

[0042] Therefore, how to combine electronic fences with video surveillance technology to form a system capable of security control based on behavior analysis has become an urgent problem to be solved in the current security protection field.

[0043] Please refer to Figure 1 The diagram illustrates a flowchart of a behavior analysis-based electronic fence security control method provided in an embodiment of this application. The method may include the following steps:

[0044] S1 collects signals from the fenced area in real time through electronic fence equipment.

[0045] The signals include voltage change signals and current change signals, which are used to reflect the state of the fence.

[0046] In this step, pulsed electronic fences, tension electronic fences, and vibration electronic fences are installed in the areas requiring protection. Pulsed electronic fences detect intrusion by generating periodic high-voltage pulse signals; tension electronic fences determine whether someone is climbing or damaging the fence by detecting changes in fence tension; and vibration electronic fences identify abnormal behavior by detecting the vibration frequency and amplitude of the fence. These electronic fence devices collect signals from the fenced area in real time, including voltage and current change signals, which reflect the fence's status.

[0047] S2, activate the video surveillance equipment corresponding to the electronic fence area to obtain real-time video data.

[0048] The video data includes image information of people or objects within the fenced area.

[0049] In this step, the video surveillance equipment corresponding to the electronic fence area is activated, including high-definition cameras, infrared cameras, and panoramic cameras. High-definition cameras provide high-resolution images for clear identification of details of people and objects; infrared cameras can operate normally in low-light conditions, ensuring the effectiveness of nighttime monitoring; panoramic cameras can cover a wider monitoring range and reduce blind spots. These video surveillance devices acquire real-time video data within the fenced area, including image information of people or objects.

[0050] S3: The collected electronic fence signals and video surveillance data are transmitted to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracts key features, performs target detection and tracking on the video data, identifies people or objects within the fenced area, and tracks their movement trajectories.

[0051] In this step, the acquired electronic fence signals and video surveillance data are transmitted to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracting key features such as the amplitude and frequency of voltage changes and the duration of current changes. Simultaneously, it performs target detection and tracking on the video data, identifying people or objects within the fenced area and tracking their trajectories. Target detection can utilize deep learning algorithms, such as convolutional neural networks (CNNs), while tracking can employ algorithms such as Kalman filters.

[0052] S4 uses behavior analysis algorithms combined with electronic fence signals and video data to analyze the target's behavior patterns, determine whether there is abnormal behavior, and generate behavior analysis results.

[0053] Abnormal behaviors include at least rapid movement, climbing, and prolonged stay.

[0054] The central processing unit utilizes behavioral analysis algorithms, combined with electronic fence signals and video data, to analyze target behavior patterns. These algorithms include machine learning algorithms (such as support vector machines, decision trees, and random forests) and deep learning algorithms (such as convolutional neural networks and recurrent neural networks). The algorithms can learn and optimize themselves based on historical data, including past intrusion records, normal behavior patterns, and false alarm cases. Through continuous learning and adjustment, the algorithms can improve the accuracy of identifying abnormal behavior and reduce the false alarm rate. Furthermore, the algorithms also incorporate environmental factors, such as the impact of different weather conditions on behavioral patterns and the analysis of human activity patterns at different times.

[0055] S5, based on the behavioral analysis results, makes decisions according to the preset control strategy, controls the opening and closing of the electronic fence equipment or triggers the alarm device, and records relevant information of abnormal events.

[0056] In this step, decisions are made according to the pre-set control strategy based on the behavioral analysis results. The control strategy includes controlling the electronic fence equipment to issue different levels of alarm signals based on the type and severity of the abnormal behavior. Alarm signals include audible alarms, visual alarms, and SMS notifications. Audible alarms can adjust volume and frequency according to the urgency of the abnormal behavior; visual alarms can convey different alarm information through flashing frequency and color changes; SMS notifications can be sent to pre-set security personnel or managers, informing them of specific information about the abnormal event. The control strategy also includes automatically saving video data for the abnormal time period when abnormal behavior is detected and sending relevant information about the abnormal event to the monitoring center or the mobile devices of relevant personnel. The relevant information about the abnormal event includes time, location, behavioral patterns, target characteristics, etc., for subsequent investigation and analysis. The control strategy can also be dynamically adjusted according to the current state of the electronic fence area, including normal state, alert state, and emergency state. The alert state is triggered by abnormal behavior or system warnings, while the emergency state is triggered by external threats or internal failures. In different states, the system will take different control measures, including restricting access, triggering alarms, and notifying security personnel.

[0057] In optional embodiments of this application, the method further includes:

[0058] The collected electronic fence signals, video surveillance data, and behavior analysis results are stored in a distributed database. The database employs a distributed storage architecture, supporting high-concurrency writes and fast queries, ensuring efficient data storage and retrieval across multiple devices or nodes. The database encrypts the stored data to ensure its security and integrity. Encryption includes encrypting data storage and transmitting it during data transfer to prevent theft or tampering. The database also automatically cleans up expired data according to preset rules, freeing up storage space. These preset rules can be formulated based on the importance and frequency of data usage. Furthermore, the system periodically analyzes the data, evaluates its performance, and adjusts and optimizes the behavior analysis algorithms and security control strategies based on feedback.

[0059] Regular system maintenance and upgrades are performed. Maintenance includes checking the operational status of electronic fence and video surveillance equipment, replacing damaged parts, and ensuring normal equipment operation. Upgrades include updating behavior analysis algorithms, optimizing control strategies, and upgrading the database management system to adapt to changing security requirements and improve system performance. In addition, the system undergoes security audits and vulnerability scans, regularly checking security configurations, identifying and fixing potential security vulnerabilities, and ensuring system security.

[0060] like Figure 2 This application also provides an electronic fence security control system based on behavior analysis. The system may include:

[0061] The data acquisition module is used to acquire signals from the fenced area in real time through the electronic fence device; wherein, the signals include voltage change signals and current change signals, which are used to reflect the status of the fence;

[0062] The acquisition module is used to activate the video surveillance equipment corresponding to the electronic fence area and acquire real-time video data; wherein, the video data includes image information of people or objects within the fence area;

[0063] The processing module is used to transmit the collected electronic fence signals and video surveillance data to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracts key features, performs target detection and tracking on the video data, identifies people or objects within the fenced area, and tracks their movement trajectories.

[0064] The analysis module is used to analyze the target's behavior patterns by combining behavior analysis algorithms with electronic fence signals and video data, determine whether there is abnormal behavior, and generate behavior analysis results; wherein, the abnormal behavior includes at least rapid movement, climbing, and prolonged stay;

[0065] The control module is used to make decisions based on the behavior analysis results and according to the preset control strategy, control the opening and closing of the electronic fence equipment or trigger the alarm device, and record relevant information of abnormal events.

[0066] Specific limitations regarding the behavior analysis-based electronic fence security control system can be found in the limitations of the behavior analysis-based electronic fence security control method described above, and will not be repeated here. Each module in the aforementioned behavior analysis-based electronic fence security control system can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0067] In one embodiment, an electronic device is provided, which may be a computer, and its internal structure diagram may be as follows: Figure 3As shown, the electronic device includes a processor, memory, and a network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for behavior-based electronic fence security control data. The network interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a behavior-based electronic fence security control method.

[0068] Those skilled in the art will understand that, Figure 3 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0069] In one embodiment of this application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the steps of the above-described behavior analysis-based electronic fence security control method.

[0070] In one embodiment of this application, a computer program product is provided, including a computer program / instructions, which, when executed by a processor, implements the steps of the above-described behavior analysis-based electronic fence security control method.

[0071] The computer-readable storage medium and computer program product provided in this embodiment are similar in implementation principle and technical effect to the above method embodiments, and will not be repeated here.

[0072] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in M ​​forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0073] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0074] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A method for electronic fence security control based on behavior analysis, characterized in that, The method includes: The electronic fence device collects signals from the fenced area in real time; the signals include voltage change signals and current change signals, which are used to reflect the status of the fence. Activate the video surveillance equipment corresponding to the electronic fence area to acquire real-time video data; wherein, the video data includes image information of people or objects within the fenced area; The collected electronic fence signals and video surveillance data are transmitted to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracts key features, performs target detection and tracking on the video data, identifies people or objects within the fenced area, and tracks their movement trajectories. By combining behavioral analysis algorithms with electronic fence signals and video data, the behavioral patterns of the target are analyzed to determine whether there is abnormal behavior and generate behavioral analysis results; wherein, the abnormal behavior includes at least rapid movement, climbing, and prolonged stay. Based on the behavioral analysis results, decisions are made according to the preset control strategy to control the opening and closing of the electronic fence equipment or trigger the alarm device, and relevant information on abnormal events is recorded.

2. The electronic fence security control method according to claim 1, characterized in that, The electronic fence equipment specifically includes pulse electronic fences, tension electronic fences, and vibration electronic fences. The pulse electronic fence can generate periodic high-voltage pulse signals to detect intrusion behavior. The tension electronic fence determines whether someone is climbing or damaging it by detecting changes in the fence's tension; the vibration electronic fence identifies abnormal behavior by detecting the fence's vibration frequency and amplitude. The video surveillance equipment includes a high-definition camera, an infrared camera, and a panoramic camera. The high-definition camera can provide high-resolution images for clearly identifying details of people and objects. The infrared camera can operate normally in low light conditions, ensuring the effectiveness of nighttime monitoring; the panoramic camera can cover a wider monitoring range and reduce blind spots.

3. The electronic fence security control method according to claim 1, characterized in that, Behavioral analysis algorithms include machine learning algorithms and deep learning algorithms. The machine learning algorithms include support vector machines, decision trees, and random forests. The deep learning algorithms include convolutional neural networks and recurrent neural networks. Behavioral analysis algorithms can learn and optimize themselves based on historical data, including past intrusion event records, normal behavior patterns, and false alarm cases. Through continuous learning and adjustment, the algorithm can improve the accuracy of identifying abnormal behavior and reduce the false alarm rate. Behavioral analysis algorithms also include analysis incorporating environmental factors, such as the impact of different weather conditions on behavioral patterns, and the analysis of human activity patterns at different time periods.

4. The electronic fence security control method according to claim 1, characterized in that, The preset control strategy includes controlling the electronic fence device to issue alarm signals of different levels according to the type and severity of the abnormal behavior. The alarm signals include sound alarms, light alarms and SMS notifications. The sound alarms can adjust the volume and frequency according to the urgency of the abnormal behavior. The light alarms can convey different alarm information through flashing frequency and color changes. The SMS notifications can be sent to preset security personnel or managers to inform them of the specific information of the abnormal event. The control strategy also includes automatically saving video data of the abnormal time period when abnormal behavior is detected, and sending relevant information about the abnormal event to the monitoring center or the mobile devices of relevant personnel. The relevant information about the abnormal event includes time, location, behavior pattern, and target characteristics, so as to facilitate subsequent investigation and analysis. The control strategy can also be dynamically adjusted according to the current state of the electronic fence area, which includes normal state, alert state and emergency state. The alert state is triggered by abnormal behavior or system warning, and the emergency state is triggered by external threats or internal failures. Different control measures are taken in different states, including restricting access, triggering alarms, and notifying security personnel.

5. The electronic fence security control method according to claim 1, characterized in that, The method further includes: The collected electronic fence signals, video surveillance data, and behavior analysis results are stored in a database, and the data is analyzed regularly to evaluate the system's performance. Based on the feedback, the behavior analysis algorithm and security control strategy are adjusted and optimized. The database adopts a distributed storage architecture, which supports high-concurrency writing and fast querying. The distributed storage architecture can ensure efficient storage and retrieval of data across multiple devices or nodes. The database can encrypt the stored data to ensure its security and integrity. The encryption process includes encrypting the data during storage and transmitting it during data transmission to prevent the data from being stolen or tampered with. The database can also automatically clean up expired data and free up storage space according to preset rules, which can be formulated based on the importance and frequency of use of the data.

6. The electronic fence security control method according to claim 1, characterized in that, The method also includes regular maintenance and upgrades of the system. The maintenance includes checking the operating status of the electronic fence equipment and video surveillance equipment, replacing damaged parts, and ensuring the normal operation of the equipment. The upgrades include updating the behavior analysis algorithm, optimizing the control strategy, and upgrading the database management system to adapt to changing security needs and improve system performance.

7. A behavior analysis-based electronic fence security control system, characterized in that, The system includes: The data acquisition module is used to acquire signals from the fenced area in real time through the electronic fence device; wherein, the signals include voltage change signals and current change signals, which are used to reflect the status of the fence; The acquisition module is used to activate the video surveillance equipment corresponding to the electronic fence area and acquire real-time video data; wherein, the video data includes image information of people or objects within the fence area; The processing module is used to transmit the collected electronic fence signals and video surveillance data to the central processing unit. The central processing unit preprocesses the electronic fence signals, extracts key features, performs target detection and tracking on the video data, identifies people or objects within the fenced area, and tracks their movement trajectories. The analysis module is used to analyze the target's behavior patterns by combining behavior analysis algorithms with electronic fence signals and video data, determine whether there is abnormal behavior, and generate behavior analysis results; wherein, the abnormal behavior includes at least rapid movement, climbing, and prolonged stay. The control module is used to make decisions based on the behavior analysis results and according to the preset control strategy, control the opening and closing of the electronic fence equipment or trigger the alarm device, and record relevant information of abnormal events.

8. An electronic device, characterized in that, It includes a memory and a processor, the memory storing a computer program that, when executed by the processor, implements the electronic fence security control method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed by a processor, implements the electronic fence security control method as described in any one of claims 1 to 6.

10. A computer program product comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the electronic fence security control method according to any one of claims 1 to 6.

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