Electronic fence prevention and management method and system

Abstract

This invention discloses an electronic fence prevention and control management method and system, relating to the field of electronic fence technology. The key technical solution includes the following steps: acquiring real-time vehicle location information and comparing it with a preset electronic fence area; wherein the electronic fence area is formed by connecting geographical coordinate points to cover the target area; if the vehicle's real-time location information is within the electronic fence area, the vehicle is controlled to drive normally; if the vehicle's real-time location information is outside the electronic fence area, an alert signal is triggered; after triggering the alert signal and continuing for a preset time, if the vehicle is still outside the electronic fence area, a restriction command is output to the engine control unit to control the engine speed to linearly decrease to the restriction value; wherein the vehicle-mounted terminal has an anti-tamper function, which improves management efficiency.

Description

Technical Field

[0001] This invention relates to the field of electronic fence technology, and more specifically, to an electronic fence prevention and control management method and system. Background Technology

[0002] Traditional electronic fence management methods fail to adequately consider the terrain differences across different sections of the border and neglect the varying security requirements of each section. This leads to either over-deployment of electronic fences in some areas, resulting in resource waste, or insufficient coverage in critical areas, creating control loopholes. For example, in mountainous border sections, due to the complex terrain and severe signal attenuation, traditionally uniformly deployed electronic fences often have numerous coverage blind spots, providing opportunities for illegal border crossings. Conversely, excessively dense deployment points in plains border sections increase equipment energy consumption. Furthermore, the lack of direct intervention measures for vehicles crossing the border and the absence of a quantitative evaluation system for the coverage correlation of electronic fences make it difficult for managers to assess the actual protective effectiveness of each section of the fence, thus hindering dynamic optimization based on actual conditions. Summary of the Invention

[0003] In view of the shortcomings of the existing technology, the purpose of this invention is to provide an electronic fence prevention and control management method and system.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A method for preventing and controlling electronic fences, comprising the following steps:

[0006] The vehicle's real-time location information is obtained and compared with a preset electronic fence area; wherein the electronic fence area is formed by connecting geographical coordinate points to cover the target area.

[0007] If the vehicle's real-time location information is within the electronic fence area, then control the vehicle to drive normally;

[0008] If the vehicle's real-time location information is outside the electronic fence area, an alert signal will be triggered;

[0009] After the reminder signal is triggered and the preset duration is maintained, if the vehicle is still outside the electronic fence area, a restriction command is output to the engine control unit to control the engine speed to decrease linearly to the limit value. The vehicle terminal has an anti-tamper function. When the vehicle terminal is detected to be illegally removed, a start prohibition command is output to the engine control unit to prevent the vehicle from starting.

[0010] Preferably, the method further includes the following steps:

[0011] Acquire electronic fence data and electronic fence feature factors for each segment of the border in the target area;

[0012] The first correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on electronic fence data.

[0013] The second correlation coefficient is obtained by processing the electronic fence feature factors and the first correlation coefficient;

[0014] The second comprehensive correlation coefficient is used to evaluate the impact of electronic fence feature factors on electronic fence setting coverage data based on the first comprehensive correlation coefficient.

[0015] The second comprehensive correlation coefficient is processed with the second correlation coefficient to obtain the processing result. Based on the processing result, the target area is divided into control area one and control area two. The parameters of the electronic fences in control area one and control area two are configured according to the electronic fence setting coverage data.

[0016] Preferably, the electronic fence data includes the number and distribution data of electronic fence setting points;

[0017] The electronic fence feature factors include electronic fence setting density features, border length features, regional terrain features, and border requirement features.

[0018] Preferably, the electronic fence feature factors and the first correlation coefficient are processed to obtain the second correlation coefficient, specifically including the following steps:

[0019] The first comprehensive correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on the characteristic factors of the electronic fence; the first comprehensive correlation coefficient includes the density influence correlation coefficient, the length influence correlation coefficient, the terrain influence correlation coefficient, and the demand influence correlation coefficient.

[0020] The first comprehensive correlation coefficient and the first correlation coefficient are processed and analyzed to obtain the set optimization information;

[0021] Based on the optimized settings, each section of the border is divided into a control edge section and a coverage center section. The electronic fence coverage data for the control edge section and the coverage center section are then obtained.

[0022] The second correlation coefficient is obtained by evaluating the coverage correlation of the electronic fence setting coverage data.

[0023] Preferably, the first comprehensive correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on the electronic fence characteristic factors, specifically including the following steps:

[0024] Based on the electronic fence setting density characteristics in the electronic fence feature factors, the degree of coverage correlation between electronic fence setting points in each segment of the border is evaluated to obtain the density influence correlation coefficient;

[0025] Based on the characteristic factors of the electronic fence and the length characteristics of the Chinese border, the coverage correlation between electronic fence setting points in each segment of the border is evaluated to obtain the length influence correlation coefficient.

[0026] The terrain influence correlation coefficient is obtained by assessing the coverage correlation between electronic fence setting points in each segment of the border based on the regional terrain features in the electronic fence characteristic factors.

[0027] Based on the boundary demand characteristics in the electronic fence feature factors, the degree of coverage correlation between electronic fence setting points in each segment of the border is evaluated to obtain the demand impact correlation coefficient.

[0028] The first comprehensive correlation coefficient is obtained by comprehensively evaluating the correlation coefficients of density, length, topography, and demand.

[0029] Preferably, the optimization information is obtained by processing and analyzing the first comprehensive correlation coefficient and the first correlation coefficient, specifically including the following steps:

[0030] The similarity value is obtained by comparing the first comprehensive correlation coefficient with the first correlation coefficient;

[0031] If the similarity value is greater than or equal to the preset similarity judgment threshold, then the electronic fence setting result is obtained by setting electronic fences for each section of the border in the target area based on the electronic fence data and the actual correlation and influence relationship.

[0032] If the similarity value is less than the preset similarity threshold, then the electronic fence settings for each segment of the border in the target area will be optimized.

[0033] Preferably, the second comprehensive correlation coefficient is processed with the second correlation coefficient to obtain the processing result, and the target area is divided into control area one and control area two according to the processing result. Specifically, the following steps are included:

[0034] The correlation fluctuation value is obtained by calculating the difference between the second comprehensive correlation coefficient and the second correlation coefficient.

[0035] The baseline correlation interval is determined by dynamically adjusting based on historical coverage stability data and boundary security requirements;

[0036] If the associated fluctuation value is within the benchmark associated range, the electronic fence coverage status of the corresponding section is determined to be stable coverage, and the section corresponding to stable coverage is designated as control area one.

[0037] If the associated fluctuation value exceeds the benchmark associated range, the electronic fence coverage status of the corresponding section is determined to be dynamic fluctuation coverage, and the section corresponding to the dynamic fluctuation coverage is designated as control area two.

[0038] Preferably, the first correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on electronic fence data, specifically including the following steps:

[0039] Extract the spatial distribution characteristics of the electronic fence setting points in each section of the border line, including the relative orientation and spacing of the electronic fence setting points in the border line;

[0040] The coverage range of adjacent control points is determined by the signal transmission parameters of the electronic fence control points.

[0041] Calculate the overlapping area of ​​the coverage range of adjacent electronic fence setting points, and determine the initial coverage correlation degree based on the morphological characteristics of the overlapping area;

[0042] Determine the signal attenuation pattern of electronic fence setting points in different environmental conditions in each border segment, and correct the initial coverage correlation based on the attenuation pattern;

[0043] The first correlation coefficient is obtained by weighting the modified initial coverage correlation degree based on the spatial distribution characteristics of the electronic fence setting points in each section of the border.

[0044] Preferably, the second comprehensive correlation coefficient, which assesses the influence of electronic fence feature factors on electronic fence setting coverage data based on the first comprehensive correlation coefficient, specifically includes the following steps:

[0045] The influence weights are obtained by determining the historical impact of electronic fence feature factors on electronic fence setting coverage data, and each electronic fence feature factor is hierarchically divided according to the influence weights.

[0046] Based on the first comprehensive correlation coefficient, the feature factors of each level of electronic fence are correlated and mapped with the electronic fence setting coverage data to obtain the feature influence coefficient;

[0047] Determine the interaction between feature factors of electronic fences at different levels, and perform coupling correction on the feature influence coefficients based on the intensity of the interaction.

[0048] The second comprehensive correlation coefficient is obtained by dynamically correlating the feature influence coefficient after coupling correction with the first comprehensive correlation coefficient.

[0049] An electronic fence prevention and control management system includes:

[0050] Acquisition module: Acquires the real-time location information of the vehicle and compares the real-time location information with a preset electronic fence area; wherein, the electronic fence area is formed by connecting geographical coordinate points to cover the target area;

[0051] First processing module: If the vehicle's real-time location information is within the electronic fence area, then control the vehicle to drive normally;

[0052] Second processing module: If the vehicle's real-time location information is outside the electronic fence area, an alert signal will be triggered;

[0053] Control module: After triggering the reminder signal and continuing for a preset time, if the vehicle is still outside the electronic fence area, it outputs a restriction command to the engine control unit to control the engine speed to decrease linearly to the limit value; the vehicle terminal has an anti-tamper function. When it is detected that the vehicle terminal has been illegally removed, it outputs a start prohibition command to the engine control unit to prevent the vehicle from starting.

[0054] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the electronic fence prevention and control management method.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] This invention acquires electronic fence data and feature factors, and through multi-level evaluation using first and second correlation coefficients, accurately identifies areas with weak or stable coverage. It significantly improves control efficiency by dividing the area into Control Zone 1 and Control Zone 2, implementing differentiated parameter configurations. For Control Zone 1 with stable coverage, the signal transmission power of the electronic fence is reasonably reduced, and the monitoring cycle is extended, reducing energy consumption and equipment wear. For Control Zone 2 with dynamic fluctuations, resources are concentrated to increase the density of setpoints and strengthen signal strength. This achieves efficient resource utilization and greatly saves management costs while ensuring safety. The real-time monitoring and tiered response mechanism provides rapid and powerful protection for border security. When a vehicle exceeds the electronic fence area, the remote information processor linearly reduces the engine speed, thus forcing the vehicle to slow down without causing severe malfunctions and preventing malicious border crossings. If the remote information processor is detected to have been removed, the electronic control unit is immediately powered off, thereby preventing illegal border crossings. This tiered response reflects flexibility in handling while ensuring the seriousness of control. Attached Figure Description

[0057] Figure 1 This is a schematic diagram illustrating the steps of an electronic fence prevention and control management method proposed in this invention;

[0058] Figure 2 This invention provides a schematic diagram of the modules of an electronic fence prevention and control management system.

[0059] Figure 3 This is a schematic diagram of the structure of the electronic device provided in an embodiment of the present invention.

[0060] 610. Processor; 620. Communication interface; 630. Memory; 640. Communication bus. Detailed Implementation

[0061] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0062] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0063] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0064] Reference Figures 1-3 As shown.

[0065] The embodiments further illustrate the electronic fence prevention and control management method and system proposed in this invention.

[0066] A method for preventing and controlling electronic fences, comprising the following steps:

[0067] The vehicle's real-time location information is obtained and compared with a preset electronic fence area; wherein the electronic fence area is formed by connecting geographical coordinate points to cover the target area.

[0068] If the vehicle's real-time location information is within the electronic fence area, then control the vehicle to drive normally;

[0069] If the vehicle's real-time location information is outside the electronic fence area, an alert signal will be triggered;

[0070] After the reminder signal is triggered and the preset duration is maintained, if the vehicle is still outside the electronic fence area, a restriction command is output to the engine control unit to control the engine speed to decrease linearly to the limit value. The vehicle terminal has an anti-tamper function. When the vehicle terminal is detected to be illegally removed, a start prohibition command is output to the engine control unit to prevent the vehicle from starting.

[0071] The system continuously acquires real-time vehicle location information and compares it with pre-defined electronic fence areas. These electronic fence areas are formed by connecting geographical coordinate points. For example, to control the illegal crossing of a certain brand of all-terrain vehicles across the border, multiple key geographical coordinate points around the border are selected, and these points are connected sequentially to form an electronic fence covering the target control area along the border.

[0072] When the vehicle's real-time location is within the geofence area, normal vehicle operation is maintained. For example, when the vehicle is legally sold within the country, the engine and power system are unrestricted, allowing for free driving. If the vehicle's real-time location first appears outside the geofence area, an alert signal is immediately triggered. For instance, if the vehicle briefly crosses the geofence near the border due to driver error, both the vehicle's platform and the driver's app will receive an alert simultaneously. After triggering the alert signal, if the vehicle remains outside the geofence area for a preset time (e.g., 10 minutes), a restriction command is sent to the engine control unit to linearly reduce the engine speed to the limit value, allowing the vehicle to slow down gradually and avoid driving risks caused by sudden stops.

[0073] The Tbox terminal on the vehicle has anti-tampering function. If the Tbox is removed, the ECU will not be able to start normally. When the vehicle is located outside the range, the vehicle platform and the app will immediately issue an out-of-range reminder. After a certain period of time, the ECU and the instrument panel will work with the Tbox terminal to perform speed limiting operation and reminder.

[0074] The vehicle-mounted terminal has anti-tampering capabilities. If it detects that the terminal has been illegally removed, it immediately sends a start-prevention command to the engine control unit, preventing the vehicle from starting. For example, if criminals attempt to remove the terminal to circumvent controls in order to smuggle a vehicle out of the country, the vehicle will be intercepted because it cannot start, completely blocking the possibility of illegal exit.

[0075] Acquire electronic fence data and electronic fence feature factors for each segment of the border in the target area;

[0076] The first correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on electronic fence data.

[0077] The second correlation coefficient is obtained by processing the electronic fence feature factors and the first correlation coefficient;

[0078] The second comprehensive correlation coefficient is used to evaluate the impact of electronic fence feature factors on electronic fence setting coverage data based on the first comprehensive correlation coefficient.

[0079] The second comprehensive correlation coefficient is processed with the second correlation coefficient to obtain the processing result. Based on the processing result, the target area is divided into control area one and control area two. The parameters of the electronic fences in control area one and control area two are configured according to the electronic fence setting coverage data.

[0080] The correlation fluctuation value is obtained by calculating the difference between the second comprehensive correlation coefficient and the second correlation coefficient, with the aim of quantifying the degree of correlation difference between the two. For example, assuming that the second comprehensive correlation coefficient of a certain border section is 0.8 and the second correlation coefficient is 0.6, then the correlation fluctuation value is 0.2.

[0081] The baseline correlation interval is determined by dynamically adjusting the historical coverage stability data and border security requirements. For example, in plain areas along the border, historical coverage stability data is relatively good, so border security requirements are relatively stable, and the baseline correlation interval is set to 0.1-0.3; while in mountainous areas, due to complex terrain, historical coverage stability data fluctuates more, and border security requirements are also higher, so the baseline correlation interval is 0.05-0.25.

[0082] Control areas are defined based on the relationship between the correlation fluctuation value and the baseline correlation interval. If the correlation fluctuation value is within the baseline correlation interval, the electronic fence coverage status of the corresponding segment is determined to be stable coverage, and the segment corresponding to stable coverage is designated as Control Area 1. For example, if the correlation fluctuation value of a certain segment is 0.2, then the correlation fluctuation value of this segment is within the baseline correlation interval for plain areas, and this area is Control Area 1. Based on the electronic fence coverage data set for Control Area 1, the signal transmission power and monitoring frequency of the electronic fence are appropriately optimized to reduce energy consumption while ensuring coverage quality. For example, the signal transmission power can be adjusted from 5W to 4W, and the monitoring frequency can be adjusted from once per minute to once every two minutes.

[0083] If the correlation fluctuation value exceeds the baseline correlation range, the electronic fence coverage status of the corresponding section is determined to be dynamic fluctuation coverage, and the section corresponding to this dynamic fluctuation coverage is designated as Control Area Two. For example, if the correlation fluctuation value of a section in a mountainous area is 0.3, exceeding the baseline correlation range of 0.05-0.25 for that area, then that area is Control Area Two. Based on the electronic fence coverage data set in Control Area Two, the density of electronic fence setting points is increased, signal strength is improved, and monitoring intervals are shortened. For example, the setting point density is increased from 5 per kilometer to 8 per kilometer, the signal strength is increased from 40dBm to 50dBm, and the monitoring interval is shortened from once every two minutes to once per minute. If necessary, radar and infrared multi-sensor equipment are integrated to construct a three-dimensional protection network.

[0084] Electronic fence coverage data refers to the coverage area, signal strength, and overlap rate of the electronic fence setting points. It can accurately determine the coverage status of electronic fences in different areas, thereby enabling the development of reasonable parameter configuration schemes for Control Zone 1 and Control Zone 2, and achieving effective management of the target area's electronic fence.

[0085] The system monitors the location of vehicles within the target area in real time. When a vehicle exceeds the electronic fence area, the engine speed is linearly reduced through the remote information processor. If the remote information processor is detected to be removed, the electronic control unit is powered off. Finally, the system outputs the electronic fence prevention and control management results.

[0086] The system continuously monitors the location information of vehicles within the target area in real time, obtaining the vehicle's location coordinates through real-time communication between the positioning base station and the vehicle's terminal. For example, the vehicle's onboard terminal within the border control area sends location information every 10 seconds.

[0087] When a vehicle is detected to have exceeded the geofence area, a Level 1 response is triggered, linearly reducing the engine speed via a telematics processor. Linear reduction means continuously decreasing the engine speed at a set rate until the vehicle speed drops to a safe level. Assume the initial engine speed of the vehicle is... The rate of linear decrease is The unit is revolutions per second, and the elapsed time is... Then, engine speed For example, if a vehicle's engine speed is 2000 rpm (approximately 33.3 rpm) when it crosses the electronic fence, the system's set deceleration rate... At 5 revolutions per second, after 5 seconds the engine speed drops to 33.3 - 5 × 5 = 8.3 revolutions per second. The vehicle will gradually slow down due to insufficient power, thus preventing the vehicle from continuing to cross the boundary.

[0088] If the system detects that the telematics processor has been removed, it triggers a Level 2 response, which involves powering down the electronic control unit (ECU). The ECU is the core control component of the vehicle; if power is cut off, the vehicle will immediately shut off and become inoperable.

[0089] The platform allows for enabling / disabling the electronic fence function. When disabled, vehicles can drive normally both inside and outside the declared vehicle area without any warning. The Tbox terminal's anti-tamper function can also be enabled / disabled via the platform. By default, the Tbox terminal sends "Anti-tamper flag 0x01 (Anti-tamper enabled)" in its message. When it receives an anti-tamper function disable signal from the platform, the Tbox terminal sends "Anti-tamper flag 0x00 (Anti-tamper disabled)". This state can be repeatedly switched; when the terminal is not connected, the last setting applies.

[0090] After the ECU and instrument cluster receive the corresponding message for the anti-tamper function of the Tbox terminal and confirm its validity three times, they shall set the function according to the corresponding message and the ECU and instrument cluster shall be powered off to store the information.

[0091] If the vehicle's ACC is on but no valid location information can be obtained, the timer will pause. If the valid location information obtained after the vehicle's ACC is on is outside the range and no further valid location information can be obtained, the timer will resume. If valid location information within the range is obtained at this point, the timer will be reset to zero.

[0092] After completing the aforementioned monitoring and response operations, key data from the entire process are recorded, including vehicle location and trajectory, time of border crossing, implementation status of response measures, and equipment status. The final output is the electronic fence prevention and control management result. These results can provide data support for subsequent optimization of border control strategies and equipment maintenance and upgrades, thereby improving the effectiveness of border control.

[0093] Electronic fence data includes the number and distribution of electronic fence control points;

[0094] The characteristic factors of electronic fences include electronic fence setting density characteristics, border length characteristics, regional terrain characteristics, and border requirement characteristics.

[0095] Electronic fence data includes the number and distribution of electronic fence control points. The number of control points refers to the number of electronic fence devices deployed along a certain section of the border. The distribution data records in detail the spatial location information of each control point, including its relative orientation and spacing. This distribution data provides a spatial basis for subsequent calculations of coverage area and correlation.

[0096] The characteristic factors of an electronic fence include electronic fence setting density, border length, regional terrain, and border requirements. Electronic fence setting density refers to the number of electronic fence setting points per unit length of border line, calculated as: Setting Density = Number of Setting Points / Border Length.

[0097] The length of a border line refers to the actual mileage of each segment. Different border lengths require different resource allocation and coverage strategies when deploying electronic fences. For example, a 20-kilometer-long border line and a 50-kilometer-long border line will have significantly different planning requirements for the number of control points; longer border lines require more control points or a more optimized distribution method to ensure coverage.

[0098] Regional terrain features encompass the terrain types along the border, such as mountains, plains, water bodies, and the complexity of the terrain. Different terrains significantly impact the propagation of electronic fence signals and the deployment of equipment. In mountainous terrain, electronic fence signals are easily attenuated due to obstruction by mountains, requiring an increase in the number of setpoints or a higher signal transmission power during equipment deployment. In contrast, signal propagation is relatively smooth in plains, allowing for a more appropriate increase in the spacing between setpoints.

[0099] Border demand characteristics refer to the control intensity requirements determined by the border's security level. For example, border sections with frequent cross-border criminal activities have high control intensity corresponding to border demand characteristics, requiring higher setting density and more sensitive monitoring mechanisms when deploying electronic fences. Conversely, areas with lower security levels have relatively lower control intensity, and the deployment of electronic fences is relatively more lenient. For instance, military-sensitive border areas have high border demand characteristics and are equipped with multi-sensor fusion monitoring equipment, while border agricultural and pastoral areas have medium to low border demand characteristics, and the monitoring equipment is relatively simple.

[0100] The second correlation coefficient is obtained by processing the electronic fence feature factors and the first correlation coefficient, specifically including the following steps:

[0101] The first comprehensive correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on the characteristic factors of the electronic fence; the first comprehensive correlation coefficient includes the density influence correlation coefficient, the length influence correlation coefficient, the terrain influence correlation coefficient, and the demand influence correlation coefficient.

[0102] Based on the electronic fence setting density characteristics in the electronic fence feature factors, the degree of coverage correlation between electronic fence setting points in each segment of the border is evaluated to obtain the density influence correlation coefficient;

[0103] Based on the characteristic factors of the electronic fence and the length characteristics of the Chinese border, the coverage correlation between electronic fence setting points in each segment of the border is evaluated to obtain the length influence correlation coefficient.

[0104] The terrain influence correlation coefficient is obtained by assessing the coverage correlation between electronic fence setting points in each segment of the border based on the regional terrain features in the electronic fence characteristic factors.

[0105] Based on the boundary demand characteristics in the electronic fence feature factors, the degree of coverage correlation between electronic fence setting points in each segment of the border is evaluated to obtain the demand impact correlation coefficient.

[0106] The first comprehensive correlation coefficient is obtained by comprehensively evaluating the correlation coefficients of density, length, topography, and demand.

[0107] The first comprehensive correlation coefficient and the first correlation coefficient are processed and analyzed to obtain the set optimization information;

[0108] The similarity value is obtained by comparing the first comprehensive correlation coefficient with the first correlation coefficient;

[0109] If the similarity value is greater than or equal to the preset similarity judgment threshold, then the electronic fence setting result is obtained by setting electronic fences for each section of the border in the target area based on the electronic fence data and the actual correlation and influence relationship.

[0110] If the similarity value is less than the preset similarity threshold, then the electronic fence settings for each segment of the border in the target area will be optimized.

[0111] Based on the optimized settings, each section of the border is divided into a control edge section and a coverage center section. The electronic fence coverage data for the control edge section and the coverage center section are then obtained.

[0112] The second correlation coefficient is obtained by evaluating the coverage correlation of the electronic fence setting coverage data.

[0113] The coverage correlation between electronic fence setting points in each border segment is evaluated based on the characteristic factors of the electronic fence to obtain the first comprehensive correlation coefficient. In the electronic fence setting density feature, higher density means denser setting points and more sufficient coverage overlap between adjacent setting points; based on this, the density influence correlation coefficient is obtained. By judging the overlap of the coverage range of setting points under this density, the density influence correlation coefficient is found to be 0.8. If the distribution of setting points is unreasonable along a long border, coverage breaks will occur. Combining the border length characteristic, the coverage correlation between electronic fence setting points in each border segment is evaluated to obtain the length influence correlation coefficient. For example, for a 3000-kilometer border segment, because the setting points are evenly distributed, the length influence correlation coefficient is 0.7. Regarding regional terrain characteristics, mountainous terrain will cause severe signal attenuation of the electronic fence, reducing the coverage correlation, while plain terrain is conducive to signal propagation and has a high coverage correlation; based on this, the terrain influence correlation coefficient is obtained. For example, the terrain influence correlation coefficient for mountainous sections is 0.5, and the terrain influence correlation coefficient for plain sections is 0.9. In terms of boundary demand characteristics, areas with high security demand require a high degree of coverage correlation, while areas with low demand can have a lower requirement, thus obtaining the demand impact correlation coefficient. For example, the demand impact correlation coefficient for high-demand areas is 0.9, and for low-demand areas it is 0.6. A comprehensive correlation assessment of the density impact correlation coefficient, length impact correlation coefficient, terrain impact correlation coefficient, and demand impact correlation coefficient can be performed using a weighted summation method. Assuming the weights of each factor are w1, w2, w3, and w4, and w1 + w2 + w3 + w4 = 1, then the first comprehensive correlation coefficient = w1 × density impact correlation coefficient + w2 × length impact correlation coefficient + w3 × terrain impact correlation coefficient + w4 × demand impact correlation coefficient. For example, if a certain section of border line has w1=0.3, w2=0.2, w3=0.3, and w4=0.2, and the correlation coefficients of each factor are 0.8, 0.7, 0.5, and 0.9 respectively, then the first comprehensive correlation coefficient = 0.3×0.8+0.2×0.7+0.3×0.5+0.2×0.9=0.24+0.14+0.15+0.18=0.71.

[0114] The first comprehensive correlation coefficient and the first correlation coefficient are processed and analyzed to obtain the set optimization information. First, the two are compared to obtain the similarity value. The similarity value can be calculated by the ratio of the absolute value of the difference to the average value of the two, that is, similarity value = |first comprehensive correlation coefficient - first correlation coefficient| / ((first comprehensive correlation coefficient + first correlation coefficient) / 2). If the similarity value is greater than or equal to the preset similarity judgment threshold, for example, if the preset similarity judgment threshold is 0.2 and the calculated similarity value is 0.15, since the similarity value is less than the preset similarity judgment threshold, the electronic fence is set for each segment of the border in the target area according to the electronic fence data and the actual correlation influence relationship to obtain the electronic fence setting result; if the similarity value is 0.25, since the similarity value is greater than the preset similarity judgment threshold, the setting optimization information is output for each segment of the border in the target area, such as increasing the number of setting points or adjusting the distribution of setting points for a certain segment of the border.

[0115] Based on the optimized settings, each segment of the border is divided into control edge segments and coverage center segments. Control edge segments are areas with relatively weak geofence coverage and prone to coverage gaps, while coverage center segments are areas with stable and closely interconnected geofence coverage. For example, based on the optimized settings, the portion of a border segment closer to mountains is the control edge segment, while the plains are the coverage center segment. Geofence coverage data for both the control edge and coverage center segments is then acquired, including coverage area, signal strength, and overlap rate.

[0116] The second correlation coefficient is obtained by evaluating the coverage correlation of the electronic fence setting coverage data. First, the spatial distribution characteristics of the electronic fence setting points in the control edge section and the coverage center section are extracted, including relative orientation and spacing. The coverage radiation range of adjacent setting points is determined by the signal transmission parameters of the electronic fence setting points. The overlapping area of ​​the coverage radiation range of adjacent electronic fence setting points is calculated, and the initial coverage correlation degree is determined based on the morphological characteristics of the overlapping area. The signal attenuation pattern of different sections under different environmental conditions is judged, and the initial coverage correlation degree is corrected according to the attenuation pattern. Finally, the corrected initial coverage correlation degree is weighted and processed in conjunction with the spatial distribution characteristics to obtain the second correlation coefficient. For example, in the coverage center section, the setting point spacing is small and the signal is strong; the corrected initial coverage correlation degree, after weighting, yields a second correlation coefficient of 0.85, while the second correlation coefficient for the control edge section is 0.55.

[0117] The first correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on electronic fence data. The specific steps include:

[0118] Extract the spatial distribution characteristics of the electronic fence setting points in each section of the border line. The spatial distribution characteristics include the relative orientation and spacing of the electronic fence setting points in the border line.

[0119] Determine the coverage radiation range of adjacent set points through the signal emission parameters of the electronic fence set points;

[0120] Calculate the overlapping area of the coverage radiation ranges of adjacent electronic fence set points, and determine the initial coverage correlation degree based on the morphological characteristics of the overlapping area;

[0121] Judge the signal attenuation law of the electronic fence set points in each section of the national border under different environmental conditions, and correct the initial coverage correlation degree according to the attenuation law;

[0122] Combine the spatial distribution characteristics of the electronic fence set points in each section of the national border to perform weighted processing on the corrected initial coverage correlation degree to obtain the first correlation coefficient.

[0123] First, extract the spatial distribution characteristics of the electronic fence set points in each section of the national border. The relative orientation refers to the positional relationship of the set points in the direction of the national border. For example, for a section of the national border running east-west, the set points are located on the north and south sides of the line respectively; the spacing is the distance between adjacent set points. These spatial distribution characteristics are the basis for subsequent analysis of coverage correlation.

[0124] Then, determine the coverage radiation range of adjacent set points through the signal emission parameters of the electronic fence set points. The signal emission parameters include transmission power and frequency, and different parameters correspond to different coverage radii. Assume that the transmission power of a certain set point is P. According to the equipment technical specifications, the radius R of its coverage radiation range is calculated by the formula where k is a constant related to the equipment type. For example, when k = 20 and P = 25W, R = 100 meters, that is, the coverage radiation range of this set point is a circular area centered on itself with a radius of 100 meters.

[0125] Next, calculate the overlapping area of the coverage radiation ranges of adjacent electronic fence set points, and determine the initial coverage correlation degree based on the morphological characteristics of the overlapping area. The morphology of the overlapping area includes the overlapping area and the degree of fit of the overlapping shape. Assume that the coverage radii of two adjacent set points are R1 and R2 respectively, and the spacing is d. When d < R1 + R2, there is an overlapping area. The calculation of the overlapping area is derived through geometric formulas, and the initial coverage correlation degree is determined by the ratio of the overlapping area to the sum of the areas of the two coverage regions. The initial coverage correlation degree = S 重叠 / (S1 + S2), S1 = πR1 2 , S2 = πR2 2 . For example, R1 = 100 meters, R2 = 100 meters, d = 150 meters. By calculation, S 重叠 ≈3.14×(100 2 -(75 2))≈13737.5 square meters, S1+S2=2×3.14×100 2 =62,800 square meters, initial coverage correlation degree ≈13737.5÷62800≈0.22.

[0126] The signal attenuation patterns of electronic fence settings along each border segment are determined under different environmental conditions, and the initial coverage correlation is corrected based on these patterns. Different environmental conditions, such as terrain (mountains, plains) and climate (rainy days, sunny days), will lead to varying degrees of signal attenuation. Taking mountainous terrain as an example, the signal attenuation coefficient is 0.8 for every 100-meter-high hill it passes through, meaning the signal strength becomes 80% of its original value. If an overlapping area is located in a mountainous environment, the actual effective coverage correlation after attenuation needs to be multiplied by the attenuation coefficient from the initial coverage correlation. Assuming the attenuation coefficient is 0.7, the corrected coverage correlation = 0.22 × 0.7 = 0.154.

[0127] Finally, the first correlation coefficient is obtained by weighting the corrected initial coverage correlation coefficient based on the spatial distribution characteristics of the electronic fence setting points in each border segment. The spacing and relative orientation in the spatial distribution characteristics have different importance to the coverage correlation, and are therefore assigned different weights. Assuming the weight of spacing is w5, the weight of relative orientation is w6, and w5 + w6 = 1, then the first correlation coefficient = w5 × (corrected initial coverage correlation coefficient 1) + w6 × (corrected initial coverage correlation coefficient 2). For example, for a border segment with w5 = 0.6 and w6 = 0.4, the corrected coverage correlation coefficient due to spacing is 0.154, and the coverage correlation coefficient due to relative orientation is 0.2. Therefore, the first correlation coefficient = 0.6 × 0.154 + 0.4 × 0.2 = 0.0924 + 0.08 = 0.1724. This weighted processing comprehensively reflects the influence of spatial distribution characteristics on coverage correlation, thus obtaining the first correlation coefficient.

[0128] The second comprehensive correlation coefficient, which assesses the impact of electronic fence feature factors on electronic fence setting coverage data based on the first comprehensive correlation coefficient, specifically includes the following steps:

[0129] The influence weights are obtained by determining the historical impact of electronic fence feature factors on electronic fence setting coverage data, and each electronic fence feature factor is hierarchically divided according to the influence weights.

[0130] Based on the first comprehensive correlation coefficient, the feature factors of each level of electronic fence are correlated and mapped with the electronic fence setting coverage data to obtain the feature influence coefficient;

[0131] Determine the interaction between feature factors of electronic fences at different levels, and perform coupling correction on the feature influence coefficients based on the intensity of the interaction.

[0132] The second comprehensive correlation coefficient is obtained by dynamically correlating the feature influence coefficient after coupling correction with the first comprehensive correlation coefficient.

[0133] First, the historical influence of electronic fence feature factors on electronic fence coverage data is determined to obtain influence weights. Based on these weights, each electronic fence feature factor is then stratified. Regarding border length, longer borders, if the distribution of setting points is unreasonable, can easily cause significant fluctuations in coverage data; its weight is determined based on the significance of its historical impact. In terms of regional terrain features, mountainous terrain has a much greater attenuation effect on coverage data than plains; therefore, the influence weight of mountainous terrain is higher than that of plains. Regarding boundary requirement features, areas with high security requirements have high demands for the integrity of coverage data, and their influence weight is also relatively high. Assuming that, based on historical data, the influence weights of setting density are w1=0.3, border length is w2=0.2, regional terrain is w3=0.3, and boundary requirement is w4=0.2, the feature factors are divided into different levels based on these weights: core layer (e.g., setting density, regional terrain), important layer (e.g., border length), and general layer (e.g., boundary requirements).

[0134] Next, based on the first comprehensive correlation coefficient, the feature factors of each level of the electronic fence are correlated and mapped with the electronic fence setting coverage data to obtain the feature influence coefficient. For example, for the setting density feature of the core layer, when the first comprehensive correlation coefficient is 0.7, the feature influence coefficient corresponding to the setting density feature is 0.7×w1=0.7×0.3=0.21; for the border length feature of the important layer, if the first comprehensive correlation coefficient is 0.7, its feature influence coefficient is 0.7×w2=0.7×0.2=0.14; and so on, to obtain the feature influence coefficient of each level of feature factors.

[0135] Then, the interaction between the feature factors of different levels of electronic fences is determined, and the feature influence coefficient is adjusted based on the strength of the interaction. For example, if the density feature (core layer) and the regional terrain feature (core layer) interact, in mountainous terrain with a high density, the synergistic effect of the two makes the change in coverage data greater than the sum of their individual effects. Assuming the interaction strength coefficient is 1.2, the feature influence coefficient after the coupling adjustment of these two feature factors is (0.21 + 0.21) × 1.2 = 0.504. On the other hand, the interaction between the border length feature (important layer) and the boundary demand feature (general layer) is weaker, with an interaction strength coefficient of 0.8. Its feature influence coefficient after the coupling adjustment is (0.14 + 0.14) × 0.8 = 0.224.

[0136] Finally, the coupled and corrected feature influence coefficient is dynamically correlated with the first comprehensive correlation coefficient to obtain the second comprehensive correlation coefficient. Assuming the coupled and corrected total feature influence coefficient is C (e.g., C = 0.504 + 0.224 = 0.728 in the example above), then the second comprehensive correlation coefficient = first comprehensive correlation coefficient × C + first comprehensive correlation coefficient × (1 - C) × k, where k is the dynamic correlation coefficient, adjusted according to the actual scenario. Here, we assume k = 0.5, meaning the second comprehensive correlation coefficient is 0.7 × 0.728 + 0.7 × (1 - 0.728) × 0.5 = 0.5096 + 0.7 × 0.272 × 0.5 = 0.5096 + 0.0952 = 0.6048. This calculation quantifies the comprehensive impact of electronic fence feature factors on the set coverage data, thus obtaining the second comprehensive correlation coefficient.

[0137] An electronic fence prevention and control management system includes:

[0138] Acquisition module: Acquires the real-time location information of the vehicle and compares the real-time location information with a preset electronic fence area; wherein, the electronic fence area is formed by connecting geographical coordinate points to cover the target area;

[0139] First processing module: If the vehicle's real-time location information is within the electronic fence area, then control the vehicle to drive normally;

[0140] Second processing module: If the vehicle's real-time location information is outside the electronic fence area, an alert signal will be triggered;

[0141] Control module: After triggering the reminder signal and continuing for a preset time, if the vehicle is still outside the electronic fence area, it outputs a restriction command to the engine control unit to control the engine speed to decrease linearly to the limit value; the vehicle terminal has an anti-tamper function. When it is detected that the vehicle terminal has been illegally removed, it outputs a start prohibition command to the engine control unit to prevent the vehicle from starting.

[0142] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements an electronic fence prevention and control management method.

[0143] like Figure 3 As shown, the electronic device may include a processor 610, a communication interface 620, a memory 630, and a communication bus 640, wherein the processor 610, the communication interface 620, and the memory 630 communicate with each other through the communication bus 640. The processor 610 can call logical instructions in the memory 630 to execute an electronic fence prevention and management method.

[0144] Furthermore, the logical instructions in the aforementioned memory 630 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory, random access memory, magnetic disks, or optical disks.

[0145] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer is able to execute an electronic fence prevention and control management method.

[0146] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform an electronic fence prevention and control management method.

[0147] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0148] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0149] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for electronic fence prevention and control management, characterized in that, The method includes the following steps: The vehicle's real-time location information is obtained and compared with a preset electronic fence area; wherein the electronic fence area is formed by connecting geographical coordinate points to cover the target area. If the vehicle's real-time location information is within the electronic fence area, then control the vehicle to drive normally; If the vehicle's real-time location information is outside the electronic fence area, an alert signal will be triggered; After the reminder signal is triggered and the preset duration is maintained, if the vehicle is still outside the electronic fence area, a restriction command is output to the engine control unit to control the engine speed to decrease linearly to the limit value. The vehicle terminal has an anti-tamper function. When the vehicle terminal is detected to be illegally removed, a start prohibition command is output to the engine control unit to prevent the vehicle from starting. Acquire electronic fence data and electronic fence feature factors for each segment of the border in the target area; The first correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on electronic fence data. The second correlation coefficient is obtained by processing the electronic fence feature factors and the first correlation coefficient; The first comprehensive correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on the characteristic factors of the electronic fence; the first comprehensive correlation coefficient includes the density influence correlation coefficient, the length influence correlation coefficient, the terrain influence correlation coefficient, and the demand influence correlation coefficient. The second comprehensive correlation coefficient is used to evaluate the impact of electronic fence feature factors on electronic fence setting coverage data based on the first comprehensive correlation coefficient. The second comprehensive correlation coefficient is processed with the second correlation coefficient to obtain the processing result. Based on the processing result, the target area is divided into control area one and control area two. The parameters of the electronic fences in control area one and control area two are configured according to the electronic fence setting coverage data.

2. The electronic fence prevention and control management method according to claim 1, characterized in that, The electronic fence data includes the number and distribution data of the electronic fence control points; The electronic fence feature factors include electronic fence setting density features, border length features, regional terrain features, and border requirement features.

3. The electronic fence prevention and control management method according to claim 2, characterized in that, The second correlation coefficient is obtained by processing the electronic fence feature factors and the first correlation coefficient, specifically including the following steps: The first comprehensive correlation coefficient and the first correlation coefficient are processed and analyzed to obtain the set optimization information; Based on the optimized settings, each section of the border is divided into a control edge section and a coverage center section. The electronic fence coverage data for the control edge section and the coverage center section are then obtained. The second correlation coefficient is obtained by evaluating the coverage correlation of the electronic fence setting coverage data.

4. The electronic fence prevention and control management method according to claim 3, characterized in that, The optimization information is obtained by processing and analyzing the first comprehensive correlation coefficient and the first correlation coefficient, specifically including the following steps: The similarity value is obtained by comparing the first comprehensive correlation coefficient with the first correlation coefficient; If the similarity value is greater than or equal to the preset similarity judgment threshold, then the electronic fence setting result is obtained by setting electronic fences for each section of the border in the target area based on the electronic fence data and the actual correlation and influence relationship. If the similarity value is less than the preset similarity threshold, then the electronic fence settings for each segment of the border in the target area will be optimized.

5. The electronic fence prevention and control management method according to claim 4, characterized in that, The second comprehensive correlation coefficient is processed with the second correlation coefficient to obtain the processing result. Based on the processing result, the target area is divided into control area one and control area two. The specific steps include: The correlation fluctuation value is obtained by calculating the difference between the second comprehensive correlation coefficient and the second correlation coefficient. The baseline correlation interval is determined by dynamically adjusting based on historical coverage stability data and boundary security requirements; If the associated fluctuation value is within the benchmark associated range, the electronic fence coverage status of the corresponding section is determined to be stable coverage, and the section corresponding to stable coverage is designated as control area one. If the associated fluctuation value exceeds the benchmark associated range, the electronic fence coverage status of the corresponding section is determined to be dynamic fluctuation coverage, and the section corresponding to the dynamic fluctuation coverage is designated as control area two.

6. The electronic fence prevention and control management method according to claim 5, characterized in that, The first correlation coefficient is obtained by evaluating the coverage correlation between electronic fence setting points in each segment of the border based on electronic fence data. The specific steps include: Extract the spatial distribution characteristics of the electronic fence setting points in each section of the border line, including the relative orientation and spacing of the electronic fence setting points in the border line; The coverage range of adjacent control points is determined by the signal transmission parameters of the electronic fence control points. Calculate the overlapping area of ​​the coverage range of adjacent electronic fence setting points, and determine the initial coverage correlation degree based on the morphological characteristics of the overlapping area; Determine the signal attenuation pattern of electronic fence setting points in different environmental conditions in each border segment, and correct the initial coverage correlation based on the attenuation pattern; The first correlation coefficient is obtained by weighting the modified initial coverage correlation degree based on the spatial distribution characteristics of the electronic fence setting points in each section of the border.

7. The electronic fence prevention and control management method according to claim 6, characterized in that, The second comprehensive correlation coefficient, which assesses the impact of electronic fence feature factors on electronic fence setting coverage data based on the first comprehensive correlation coefficient, specifically includes the following steps: The influence weights are obtained by determining the historical impact of electronic fence feature factors on electronic fence setting coverage data, and each electronic fence feature factor is hierarchically divided according to the influence weights. Based on the first comprehensive correlation coefficient, the feature factors of each level of electronic fence are correlated and mapped with the electronic fence setting coverage data to obtain the feature influence coefficient; Determine the interaction between feature factors of electronic fences at different levels, and perform coupling correction on the feature influence coefficients based on the intensity of the interaction. The second comprehensive correlation coefficient is obtained by dynamically correlating the feature influence coefficient after coupling correction with the first comprehensive correlation coefficient.

8. An electronic fence prevention and control management system, applied to the electronic fence prevention and control management method according to any one of claims 1 to 7, characterized in that, include: Acquisition module: Acquires the real-time location information of the vehicle and compares the real-time location information with a preset electronic fence area; wherein, the electronic fence area is formed by connecting geographical coordinate points to cover the target area; First processing module: If the vehicle's real-time location information is within the electronic fence area, then control the vehicle to drive normally; Second processing module: If the vehicle's real-time location information is outside the electronic fence area, an alert signal will be triggered; Control module: After triggering the reminder signal and continuing for a preset time, if the vehicle is still outside the electronic fence area, it outputs a restriction command to the engine control unit to control the engine speed to decrease linearly to the limit value; the vehicle terminal has an anti-tamper function. When it is detected that the vehicle terminal has been illegally removed, it outputs a start prohibition command to the engine control unit to prevent the vehicle from starting.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements an electronic fence prevention and control management method as described in any one of claims 1 to 7.

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