Electronic fence prevention and control management method and system
By assessing the coverage correlation and regional characteristics between electronic fence setting points, and dividing control areas for differentiated configuration, the problems of resource waste and insufficient coverage in traditional electronic fence management are solved, achieving efficient and flexible border security management.
Patent Information
- Application Number
- CN202511963619.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-24
- Publication Date
- 2026-01-23
- Estimated Expiration
- 2045-12-24
AI Technical Summary
Traditional electronic fence management methods fail to effectively consider differences in border terrain and security needs, resulting in wasted resources or insufficient coverage. They also lack a quantitative evaluation system, making dynamic optimization difficult.
By comparing real-time vehicle location information with the electronic fence area, the coverage correlation between electronic fence setting points is assessed, control areas one and two are divided, and differentiated parameter configurations are made according to the characteristics of the areas, enabling real-time monitoring and graded response.
It has enabled the efficient use of electronic fence resources, reduced management costs, improved border security, provided a flexible tiered response mechanism, and prevented illegal border crossings.
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Figure CN121397464A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of electronic fence, more particularly, it relates to an electronic fence prevention and management method and system. BACKGROUND
[0002] The traditional electronic fence management method does not fully consider the topographic differences of different sections of the national boundary, and also ignores the safety requirement differences of each section of the national boundary, resulting in over-deployment of electronic fence in some areas, causing resource waste, or insufficient coverage in critical areas, forming a control loophole, for example, in mountainous border sections, due to complex terrain and serious signal attenuation, the traditional uniform deployment of electronic fence often appears a large number of coverage blind areas, which provides an opportunity for illegal border crossing behavior; while in the plain border section, the over-dense setting points will cause device energy consumption. At the same time, there is a lack of direct intervention means for vehicles crossing the border, and the coverage correlation degree of the electronic fence lacks a quantitative evaluation system, so that the management personnel cannot judge the actual protection performance of each section of the fence, that is, it is impossible to dynamically optimize according to the actual situation. SUMMARY
[0003] In view of the deficiencies in the prior art, the purpose of the present application is to provide an electronic fence prevention and management method and system.
[0004] To achieve the above-mentioned purpose, the present application provides the following technical scheme:
[0005] An electronic fence prevention and management method, the method comprising the following steps:
[0006] Obtaining real-time positioning information of the vehicle, and comparing the real-time positioning information with a preset electronic fence area; wherein the electronic fence area is formed by connecting lines of geographic coordinate points to cover the target area;
[0007] If the real-time positioning information of the vehicle is located in the electronic fence area, the vehicle is controlled to drive normally;
[0008] If the real-time positioning information of the vehicle is located outside the electronic fence area, a reminder signal is triggered;
[0009] After triggering the reminder signal and lasting for a preset time length, if the vehicle is still located outside the electronic fence area, a restriction instruction is output to the engine control unit to control the engine speed to linearly reduce to a limit value; wherein the vehicle terminal has an anti-disassembly function, when it is detected that the vehicle terminal is illegally disassembled, a prohibition starting instruction is output to the engine control unit to make the vehicle unable to start.
[0010] Preferably, the method further comprises the following steps:
[0011] Obtaining electronic fence data and electronic fence characteristic factors of each section of the national boundary in the target area;
[0012] The first correlation coefficient is obtained by evaluating the coverage correlation degree between the electronic fence setting points in each section of the national border based on the electronic fence data.
[0013] The second correlation coefficient is obtained by processing the electronic fence characteristic factors and the first correlation coefficient.
[0014] The second comprehensive correlation coefficient is obtained by evaluating the influence of the electronic fence characteristic factors on the electronic fence setting coverage data based on the first comprehensive correlation coefficient.
[0015] The processing result is obtained by processing the second comprehensive correlation coefficient and the second correlation coefficient, and the target area is divided into a control area I and a control area II according to the processing result; and the electronic fence of the control area I and the control area II is parameter configured according to the electronic fence setting coverage data.
[0016] Preferably, the electronic fence data includes the number and distribution data of the electronic fence setting points.
[0017] The electronic fence characteristic factors include the electronic fence setting density characteristic, the national border length characteristic, the regional terrain characteristic, and the border demand characteristic.
[0018] Preferably, the second correlation coefficient is obtained by processing the electronic fence characteristic factors and the first correlation coefficient, specifically including the following steps:
[0019] The first comprehensive correlation coefficient is obtained by evaluating the coverage correlation degree between the electronic fence setting points in each section of the national border according to the electronic fence characteristic factors; wherein 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 setting optimization information is obtained by processing and analyzing the first comprehensive correlation coefficient and the first correlation coefficient.
[0021] The control edge section and the coverage center section are obtained by dividing each section of the national border according to the setting optimization information, and the electronic fence setting coverage data of the control edge section and the coverage center section is obtained respectively.
[0022] The second correlation coefficient is obtained by evaluating the coverage correlation degree of the electronic fence setting coverage data.
[0023] Preferably, the first comprehensive correlation coefficient is obtained by evaluating the coverage correlation degree between the electronic fence setting points in each section of the national border according to the electronic fence characteristic factors, specifically including the following steps:
[0024] The density influence correlation coefficient is obtained by evaluating the coverage correlation degree between the electronic fence setting points in each section of the national border according to the electronic fence setting density characteristic in the electronic fence characteristic factors.
[0025] According to the electronic fence characteristic factor, the length characteristic of the Chinese border line is used to evaluate the coverage correlation degree between the electronic fence set points in each section of the border line, and a length influence correlation coefficient is obtained.
[0026] According to the electronic fence characteristic factor, the length characteristic of the Chinese border line is used to evaluate the coverage correlation degree between the electronic fence set points in each section of the border line, and a length influence correlation coefficient is obtained.
[0027] According to the electronic fence characteristic factor, the length characteristic of the Chinese border line is used to evaluate the coverage correlation degree between the electronic fence set points in each section of the border line, and a length influence correlation coefficient is obtained.
[0028] The density influence correlation coefficient, the length influence correlation coefficient, the terrain influence correlation coefficient, and the demand influence correlation coefficient are comprehensively correlated to obtain a first comprehensive correlation coefficient.
[0029] Preferably, the first comprehensive correlation coefficient and the first correlation coefficient are processed and analyzed to obtain setting optimization information, specifically including the following steps:
[0030] The first comprehensive correlation coefficient and the first correlation coefficient are compared to obtain a similarity value;
[0031] If the similarity value is greater than or equal to a preset similarity threshold, then according to the electronic fence data and the actual correlation influence relationship, the electronic fence setting of each section of the border line in the target area is performed to obtain an electronic fence setting result.
[0032] If the similarity value is less than the preset similarity threshold, then the electronic fence output setting optimization information of each section of the border line in the target area is obtained.
[0033] Preferably, the second comprehensive correlation coefficient and the second correlation coefficient are processed to obtain a processing result, and the target area is divided into a control area one and a control area two according to the processing result, specifically including the following steps:
[0034] The second comprehensive correlation coefficient and the second correlation coefficient are subjected to difference operation to obtain a correlation fluctuation value;
[0035] According to the historical coverage stability data and the border security demand dynamic adjustment, a reference correlation interval is determined;
[0036] If the correlation fluctuation value is within the reference correlation interval, it is determined that the electronic fence coverage state of the corresponding section is stable coverage, and the section corresponding to the stable coverage is designated as the control area one.
[0037] If the correlation fluctuation value exceeds the reference correlation interval, it is determined that the electronic fence coverage state of the corresponding section is dynamic fluctuation coverage, and the section corresponding to the dynamic fluctuation coverage is designated as the control area two.
[0038] Preferably, the first correlation coefficient is obtained by evaluating the coverage correlation degree between the electronic fence set points in each section of the national border based on the electronic fence data, and specifically includes the following steps:
[0039] The spatial distribution characteristics of the electronic fence set points in each section of the national border are extracted, and the spatial distribution characteristics include the relative positions and distances of the electronic fence set points in the national border;
[0040] The coverage radiation range of adjacent electronic fence set points is determined by the signal emission parameters of the electronic fence set points;
[0041] The overlapping area of the coverage radiation ranges of adjacent electronic fence set points is calculated, and the initial coverage correlation degree is determined according to the morphological characteristics of the overlapping area;
[0042] The signal attenuation law of the electronic fence set points in each section of the national border under different environmental conditions is judged, and the initial coverage correlation degree is corrected according to the attenuation law;
[0043] The corrected initial coverage correlation degree is weighted according to the spatial distribution characteristics of the electronic fence set points in each section of the national border to obtain the first correlation coefficient.
[0044] Preferably, the second comprehensive correlation coefficient is obtained by evaluating the influence of the electronic fence feature factors on the electronic fence set coverage data based on the first comprehensive correlation coefficient, and specifically includes the following steps:
[0045] The influence weight is obtained by judging the historical influence degree of the electronic fence feature factors on the electronic fence set coverage data, and each electronic fence feature factor is hierarchically divided according to the influence weight;
[0046] The feature influence coefficient is obtained by associating and mapping each hierarchical electronic fence feature factor with the electronic fence set coverage data according to the first comprehensive correlation coefficient;
[0047] The interaction between different hierarchical electronic fence feature factors is judged, and the feature influence coefficient is coupled and corrected according to the interaction strength;
[0048] The coupled and corrected feature influence coefficient is dynamically associated with the first comprehensive correlation coefficient to obtain the second comprehensive correlation coefficient.
[0049] An electronic fence prevention and management system, comprising:
[0050] An acquisition module: acquiring real-time positioning information of a vehicle, and comparing the real-time positioning information with a preset electronic fence area; wherein the electronic fence area is formed by connecting lines of geographic coordinate points to cover a target area;
[0051] A first processing module: if the real-time positioning information of the vehicle is located in the electronic fence area, then controlling the vehicle to normally drive;
[0052] The second processing module triggers a reminding signal if the real-time positioning information of the vehicle is located outside the electronic fence area;
[0053] The control module outputs a restriction instruction to the engine control unit to linearly reduce the engine speed to a limit value if the vehicle is still located outside the electronic fence area after the reminding signal is triggered for a preset time length; wherein the vehicle terminal has an anti-disassembly function, and an engine start prohibition instruction is output to the engine control unit to make the vehicle unable to start when it is detected that the vehicle terminal is illegally disassembled.
[0054] An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the electronic fence prevention and management method when executing the program.
[0055] Compared with the prior art, the present application has the following beneficial effects:
[0056] The present application obtains electronic fence data and characteristic factors, and through multi-level evaluation of the first correlation coefficient and the second correlation coefficient, can accurately identify weak coverage areas and stable areas. The control efficiency is greatly improved, and through the division of the control area I and the control area II, differential parameter configuration is implemented. For the stable coverage control area I, the signal transmission power of the electronic fence is reasonably reduced, the monitoring period is prolonged, and the energy consumption and equipment loss are reduced; and for the dynamic fluctuation control area II, resources are concentrated to increase the set point density and strengthen the signal strength. Efficient use of resources is realized, and management costs are greatly saved under the premise of ensuring safety. Real-time monitoring and hierarchical response mechanism provides fast and powerful guarantee for border security. When the vehicle exceeds the electronic fence area, the remote information processor linearly reduces the engine speed, so that the vehicle is forced to slow down without causing severe vehicle failure, avoiding malicious border crossing events; if the remote information processor is detected to be disassembled, the electronic control unit is immediately controlled to be powered off, thereby preventing illegal border crossing. This hierarchical response reflects the flexibility of disposal and ensures the seriousness of control. BRIEF DESCRIPTION OF DRAWINGS
[0057] Fig. 1 A step schematic diagram of the electronic fence prevention and management method is provided for the present application;
[0058] Fig. 2 A module schematic diagram of the electronic fence prevention and management system is provided for the present application;
[0059] Fig. 3 A structure schematic diagram of the electronic device provided by the embodiment of the present application.
[0060] 610, processor; 620, communication interface; 630, memory; 640, communication bus. DETAILED DESCRIPTION
[0061] In order to make the above objectives, characteristics and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings.
[0062] In the following description, a lot of specific details are set forth in order to provide a thorough understanding of the present application, but the present application can also be implemented in other different ways from the description, and those skilled in the art can make similar generalizations without departing from the concept of the present application, so the present application is not limited to the specific embodiments disclosed below.
[0063] Secondly, the "one embodiment" or "embodiment" referred to herein means that the specific features, structures or characteristics can be included in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not mean the same embodiment, nor is it an embodiment that is separate from or mutually exclusive with other embodiments.
[0064] Reference Figs. 1-3 As shown in the figure.
[0065] Embodiments further illustrate an electronic fence prevention and management method and system proposed by the present application.
[0066] An electronic fence prevention and management method, the method comprising the following steps:
[0067] Obtaining real-time positioning information of the vehicle, comparing the real-time positioning information with a preset electronic fence area; wherein the electronic fence area is formed by connecting lines of geographic coordinate points to cover the target area;
[0068] If the real-time positioning information of the vehicle is located within the electronic fence area, then control the vehicle to drive normally;
[0069] If the real-time positioning information of the vehicle is located outside the electronic fence area, then trigger a reminder signal;
[0070] After triggering the reminder signal and lasting for a preset time, if the vehicle is still located outside the electronic fence area, then output a restriction instruction to the engine control unit to control the engine speed to linearly decrease to a limit value; wherein the vehicle terminal has an anti-disassembly function, when it is detected that the vehicle terminal is illegally disassembled, then output an inhibition start instruction to the engine control unit to make the vehicle unable to start.
[0071] Continuously obtaining real-time positioning information of the vehicle, comparing it with a preset electronic fence area. The electronic fence area here is formed by connecting lines of geographic coordinate points, for example, in order to control the illegal out-of-border behavior of a certain brand of all-terrain vehicle, a plurality of key geographic coordinate points around the national border are selected, and these points are sequentially connected to enclose an electronic fence covering the target control area of the national border.
[0072] When the real-time positioning of the vehicle is in the electronic fence area, the vehicle is controlled to drive normally, for example, when the vehicle drives in the area where the vehicle is legally sold in the country, the engine and power system are not restricted and can be freely driven. If the real-time positioning of the vehicle appears outside the electronic fence area for the first time, a prompt signal is triggered immediately, for example, when the vehicle temporarily drives out of the electronic fence near the national border due to the driver's operation error, the platform end of the vehicle and the APP end of the driver will receive prompt information synchronously. After the prompt signal is triggered, if the vehicle is still outside the electronic fence area within a preset time (for example, set to 10 minutes), a restriction instruction is output to the engine control unit to control the engine speed to linearly decrease to a limit value, so that the vehicle slows down slowly to avoid driving risks caused by sudden stop.
[0073] The Tbox terminal on the whole vehicle has a disassembly prevention function, and the ECU cannot start normally after the Tbox is disassembled; when the vehicle positioning exceeds the range, the vehicle platform end and the app end immediately perform out-of-range prompting, and after a certain time of prompting, the ECU and the instrument end cooperate with the Tbox terminal to perform speed limiting operation and prompting.
[0074] The vehicle terminal has a disassembly prevention function, and if it is detected that the vehicle terminal is disassembled illegally, an engine control unit output prohibition start instruction is immediately output, so that the vehicle cannot start. For example, in order to illegally transport the vehicle out of the country, the illegal person tries to disassemble the vehicle terminal to evade control, at this time the vehicle will be intercepted because it cannot start, and the possibility of illegal exit is completely blocked.
[0075] Obtain electronic fence data and electronic fence characteristic factors of each section of the national border in the target area;
[0076] Based on the electronic fence data, the coverage correlation degree between the electronic fence set points in each section of the national border is evaluated to obtain a first correlation coefficient;
[0077] The electronic fence characteristic factors and the first correlation coefficient are processed to obtain a second correlation coefficient;
[0078] Based on the first comprehensive correlation coefficient, a second comprehensive correlation coefficient of the electronic fence set coverage data affected by the electronic fence characteristic factors is evaluated;
[0079] The second comprehensive correlation coefficient and the second correlation coefficient are processed to obtain a processing result, and the target area is divided into a control area one and a control area two according to the processing result; the electronic fence of the control area one and the control area two is parameter configured according to the electronic fence set coverage data.
[0080] The correlation fluctuation value is obtained by difference operation between the second comprehensive correlation coefficient and the second correlation coefficient, and the purpose is to quantify the correlation difference between the two. For example, assuming that the second comprehensive correlation coefficient of a certain section of the national border is 0.8, and the second correlation coefficient is 0.6, the correlation fluctuation value is 0.2.
[0081] The reference correlation interval is dynamically adjusted according to the historical coverage stability data and the border security demand. For example, in the plain area of the border, the historical coverage stability data is good, so the border security demand is relatively stable, and the reference correlation interval is set to 0.1-0.3; while in the mountainous area, due to the complex terrain, the historical coverage stability data fluctuates greatly, and the border security demand is higher, so the reference correlation interval is 0.05-0.25.
[0082] According to the relationship between the correlation fluctuation value and the reference correlation interval, the control area is divided. If the correlation fluctuation value is within the reference correlation interval, it is determined that the electronic fence coverage state of the corresponding section is stable coverage, and the section corresponding to the stable coverage is divided into control area one. For example, the correlation fluctuation value of a certain section is 0.2, so the correlation fluctuation value of the section is within the reference correlation interval of the plain area, and the area is control area one. According to the electronic fence setting coverage data of control area one, the signal transmission power and monitoring frequency of the electronic fence are optimized, and the energy consumption is reduced under the premise of ensuring the coverage quality, such as adjusting the signal transmission power from 5W to 4W and the monitoring frequency from once every minute to once every two minutes.
[0083] If the correlation fluctuation value exceeds the reference correlation interval, it is determined that the electronic fence coverage state of the corresponding section is dynamic fluctuation coverage, and the section corresponding to the dynamic fluctuation coverage is divided into control area two. For example, the correlation fluctuation value of a certain mountainous area is 0.3, which exceeds the reference correlation interval of 0.05-0.25 in this area, so the area is control area two. According to the electronic fence setting coverage data of control area two, the electronic fence setting point density is increased, the signal strength is improved, and the monitoring interval is shortened. For example, the setting point density is increased from 5 per kilometer to 8 per kilometer, the signal strength is improved from 40dBm to 50dBm, and the monitoring interval is shortened from once every two minutes to once every minute, and if necessary, a three-dimensional protection network is established by integrating radar and infrared multi-sensor equipment.
[0084] The electronic fence setting coverage data refers to the coverage range, signal strength and overlap rate data of the electronic fence setting point. It can accurately judge the coverage of the electronic fence in different areas, so as to formulate reasonable parameter configuration scheme for control area one and control area two, and realize the management of the electronic fence in the target area.
[0085] Real-time monitoring of the position information of the vehicle in the target area, when the vehicle exceeds the electronic fence area, the engine speed is linearly reduced by the telematics processor, if the telematics processor is detected to be removed, the electronic control unit is controlled to be powered off, and finally the electronic fence prevention and management result is output.
[0086] Real-time monitoring of the position information of the vehicle in the target area is continuously carried out, and the position coordinates of the vehicle are obtained through real-time communication between the positioning base station and the vehicle terminal. For example, the vehicle terminal in the border control area sends position information every 10 seconds.
[0087] When it is monitored that the vehicle exceeds the electronic fence area, the first level response is triggered, and the engine speed is linearly reduced by the telematics processor. Linear reduction means that the engine speed is continuously reduced at a rate until the vehicle speed is reduced to a safe range. Assuming that the initial engine speed of the vehicle is , the linear reduction rate is , the unit is revolutions / second, and after a time of , the engine speed , for example, when a vehicle exceeds the electronic fence, the engine speed is 2000 revolutions / minute, i.e. about 33.3 revolutions / second, and the system sets the reduction rate to 5 revolutions / second. After 5 seconds, the engine speed is reduced to 33.3-5x5=8.3 revolutions / second, and the vehicle will gradually slow down due to insufficient power, thereby avoiding the vehicle from continuing to cross the border.
[0088] If the system detects that the telematics processor is removed, the second level response is triggered, i.e. the electronic control unit is powered off. The electronic control unit is the core control component of the vehicle, and after being powered off, the vehicle will immediately stall, thereby being unable to continue driving.
[0089] The platform end enables the opening / closing of the electronic fence function, when it is selected to be closed, the vehicle can normally drive in and out of the vehicle declaration area without prompting. The Tbox terminal anti-disassembly function can be enabled by the platform end to open / close, the Tbox terminal message sends the "anti-disassembly flag bit 0x01 (anti-disassembly effective)" by default, and when the anti-disassembly function closing signal sent by the platform end is received, the Tbox terminal message sends the "anti-disassembly flag bit 0x00 (anti-disassembly ineffective)". The state can be repeatedly switched, and when the terminal is not connected, the Tbox anti-disassembly function setting is accurate to the last setting.
[0090] The ECU and instrument end receive the corresponding Tbox terminal anti-disassembly function message for 3 times, and set according to the corresponding message and need to be powered off and stored by the ECU and instrument end itself.
[0091] If the vehicle cannot obtain valid positioning information after ACC ON, the timer is paused. If the valid positioning information obtained after ACC ON is out of range and valid positioning information cannot be obtained again, the timer continues, and if valid positioning information within the range is obtained, the timer is cleared.
[0092] Key data of the entire process, including vehicle position trajectory, boundary crossing time, response measure execution, and device state, are recorded after the above monitoring and response operations are completed, and finally the electronic fence prevention and management results are output. These results can provide data support for subsequent optimization of border control strategies, equipment maintenance and upgrading, thereby improving the effectiveness of border control.
[0093] The electronic fence data includes electronic fence set point quantity and distribution data.
[0094] The electronic fence characteristic factors include electronic fence set density characteristics, border length characteristics, regional terrain characteristics, and border demand characteristics.
[0095] The electronic fence data includes electronic fence set point quantity and distribution data. The set point quantity refers to the number of electronic fence devices deployed on a certain section of the border. The distribution data details the spatial location information of each set point, including relative orientation and spacing. Such distribution data provides a spatial basis for subsequent calculation of coverage range and correlation degree.
[0096] The electronic fence characteristic factors include electronic fence set density characteristics, border length characteristics, regional terrain characteristics, and border demand characteristics. The electronic fence set density characteristics refer to the number of electronic fence set points per unit length of the border, and the calculation formula is: set density = set point quantity / border length.
[0097] The border length characteristics are the actual mileage of each section of the border. Different lengths of the border require different resource inputs and coverage strategies when deploying electronic fences. For example, a 20-kilometer-long border and a 50-kilometer-long border have obvious differences in set point quantity planning. A longer border requires more set points or a more optimized distribution method to ensure coverage.
[0098] The regional terrain characteristics cover the terrain types of the border region, such as mountains, plains, water areas, and terrain complexity. Different terrains have a significant impact on the propagation of electronic fence signals and the deployment of devices. The signal of electronic fence in mountainous terrain is easily attenuated by the mountain barrier, and the number of set points needs to be increased or the signal transmission power needs to be improved when deploying the device. The signal propagation in plain terrain is relatively smooth, and the spacing between set points can be appropriately increased.
[0099] The border demand feature is a control strength requirement determined according to the security level of the border. For example, if there are frequent cross-border criminal activities in a border section, the control strength corresponding to the border demand feature is high, and the deployment of the electronic fence requires a higher setting density and a more sensitive monitoring mechanism. In areas with a lower security level, the control strength is relatively low, and the deployment of the electronic fence is relatively loose. For example, the military sensitive area of the border has a high border demand feature, and is equipped with multi-sensor fusion monitoring equipment, while the border demand feature of the border farming and pastoral area is low to middle level, and the monitoring equipment is relatively simple.
[0100] The electronic fence feature factor and the first correlation coefficient are processed to obtain a second correlation coefficient, specifically including the following steps:
[0101] According to the electronic fence feature factor, the coverage correlation degree between the electronic fence setting points in each section of the national border is evaluated to obtain a first comprehensive correlation coefficient; wherein the first comprehensive correlation coefficient includes a density influence correlation coefficient, a length influence correlation coefficient, a terrain influence correlation coefficient and a demand influence correlation coefficient;
[0102] According to the electronic fence setting density feature in the electronic fence feature factor, the coverage correlation degree between the electronic fence setting points in each section of the national border is evaluated to obtain the density influence correlation coefficient;
[0103] According to the national border length feature in the electronic fence feature factor, the coverage correlation degree between the electronic fence setting points in each section of the national border is evaluated to obtain the length influence correlation coefficient;
[0104] According to the regional terrain feature in the electronic fence feature factor, the coverage correlation degree between the electronic fence setting points in each section of the national border is evaluated to obtain the terrain influence correlation coefficient;
[0105] According to the border demand feature in the electronic fence feature factor, the coverage correlation degree between the electronic fence setting points in each section of the national border is evaluated to obtain the demand influence correlation coefficient;
[0106] The density influence correlation coefficient, the length influence correlation coefficient, the terrain influence correlation coefficient and the demand influence correlation coefficient are comprehensively correlated to obtain the first comprehensive correlation coefficient.
[0107] The first comprehensive correlation coefficient and the first correlation coefficient are processed and analyzed to obtain setting optimization information;
[0108] The first comprehensive correlation coefficient and the first correlation coefficient are compared to obtain a similarity value;
[0109] If the similarity value is greater than or equal to a preset similarity threshold, then according to the electronic fence data and the actual correlation influence relationship, the electronic fence setting of each section of the national border in the target area is performed to obtain an electronic fence setting result;
[0110] If the similarity value is less than the preset similarity threshold, optimization information is set for the electronic fence output of each section of the national boundary line in the target region.
[0111] The national boundary line is divided according to the set optimization information to obtain a control edge section and a coverage center section, and electronic fence setting coverage data of the control edge section and the coverage center section are obtained respectively.
[0112] The coverage correlation degree of the electronic fence setting coverage data is evaluated to obtain a second correlation coefficient.
[0113] The coverage correlation degree between the electronic fence setting points in each section of the national boundary line is evaluated based on the electronic fence characteristic factors to obtain a first comprehensive correlation coefficient. The higher the density in the electronic fence setting density feature, the more dense the setting points, and the more sufficient the coverage overlap between adjacent setting points. The density influence correlation coefficient is evaluated accordingly. By judging the coverage range overlap of the setting points under the density, the density influence correlation coefficient is obtained as 0.8. If the setting points are not reasonably distributed in a long national boundary line, a coverage breakpoint occurs. The coverage correlation degree between the electronic fence setting points in each section of the national boundary line is evaluated in combination with the length feature of the national boundary line to obtain a length influence correlation coefficient. For example, for a 3000 km long national boundary line, the length influence correlation coefficient is 0.7 due to the uniform distribution of the setting points. In terms of regional terrain features, mountainous terrain can cause serious attenuation of the electronic fence signal and reduce the coverage correlation degree, while plain terrain is conducive to signal propagation and has a high coverage correlation degree. The terrain influence correlation coefficient is obtained accordingly, such as a terrain influence correlation coefficient of 0.5 for a mountainous section and a terrain influence correlation coefficient of 0.9 for a plain section. In terms of border demand features, high security demand areas require a high coverage correlation degree, and low demand areas can appropriately reduce the coverage correlation degree, thereby obtaining a demand influence correlation coefficient. For example, the demand influence correlation coefficient of a high demand area is 0.9, and the demand influence correlation coefficient of a low demand area is 0.6. The density influence correlation coefficient, the length influence correlation coefficient, the terrain influence correlation coefficient, and the demand influence correlation coefficient are comprehensively correlated and evaluated, which can be achieved by weighted summation. Assuming that the weights of the factors are w1, w2, w3, and w4, and w1+w2+w3+w4=1, the first comprehensive correlation coefficient is w1×density influence correlation coefficient+w2×length influence correlation coefficient+w3×terrain influence correlation coefficient+w4×demand influence correlation coefficient. For example, for a certain section of the national boundary line, w1=0.3, w2=0.2, w3=0.3, and w4=0.2, and the correlation coefficients of the factors are 0.8, 0.7, 0.5, and 0.9 respectively. The first comprehensive correlation coefficient is 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 a similarity value. The similarity value can be calculated as the ratio of the absolute value of the difference to the average value of the two, i.e., 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 a preset similarity determination threshold, such as a preset similarity determination threshold of 0.2, if the calculated similarity value is 0.15, since the similarity value is less than the preset similarity determination threshold, the electronic fence setting result of each section of the national boundary in the target area is obtained according to the electronic fence data and the actual correlation influence relationship; if the similarity value is 0.25, since the similarity value is greater than the preset similarity determination threshold, the set optimization information of the electronic fence of each section of the national boundary in the target area is output, such as the need to increase the number of set points and adjust the distribution of set points for a section of the national boundary.
[0115] According to the set optimization information, the national boundary is divided into a control edge section and a coverage center section. The control edge section is a relatively weak coverage area of the electronic fence, which is prone to coverage gaps. The coverage center section is a stable coverage area of the electronic fence, which is closely related. For example, according to the set optimization information, the part close to the mountainous area is the control edge section, and the plain hinterland is the coverage center section. Electronic fence setting coverage data of the control edge section and the coverage center section are obtained respectively. These data include coverage range, signal strength, and overlap rate.
[0116] The coverage correlation degree of the electronic fence setting coverage data is evaluated to obtain a second correlation coefficient. 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 distance; the coverage radiation range of adjacent electronic fence setting points is determined through the signal emission parameters of the electronic fence setting points; the overlap area of the coverage radiation range of adjacent electronic fence setting points is calculated, and the initial coverage correlation degree is determined according to the morphological characteristics of the overlap area; the signal attenuation law of different sections under different environmental conditions is judged, and the initial coverage correlation degree is corrected according to the attenuation law; the second correlation coefficient is obtained by weighting the corrected initial coverage correlation degree combined with the spatial distribution characteristics. For example, the distance between the set points in the coverage center section is small, and the signal is strong. After weighting the corrected initial coverage correlation degree, the second correlation coefficient is 0.85, and the second correlation coefficient of the control edge section is 0.55.
[0117] Based on the electronic fence data, the coverage correlation degree between the electronic fence setting points in each section of the national boundary is evaluated to obtain a first correlation coefficient, which includes the following steps:
[0118] The spatial distribution characteristics of the electronic fence setting points in each section of the national boundary are extracted, including the relative orientation and distance of the electronic fence setting points in the national boundary;
[0119] determine the coverage radiation range of adjacent electronic fence setting points through the signal transmission parameters of the electronic fence setting points;
[0120] calculate the overlapping area of the coverage radiation range of adjacent electronic fence setting points, and determine the initial coverage correlation degree according to the morphological characteristics of the overlapping area;
[0121] determine the signal attenuation law of the electronic fence setting points in different environmental conditions in each section of the national border, and correct the initial coverage correlation degree according to the attenuation law;
[0122] combine the spatial distribution characteristics of the electronic fence setting points in each section of the national border to perform weighted processing on the corrected initial coverage correlation degree to obtain a first correlation coefficient.
[0123] First, the spatial distribution characteristics of the electronic fence setting points in each section of the national border are extracted, wherein the relative position refers to the positional relationship of the setting points in the direction of the national border, such as a national border with an east-west direction, and the setting points are located on the north and south sides of the line respectively; the interval is the distance between adjacent setting points. These spatial distribution characteristics are the basis for subsequent analysis of coverage correlation.
[0124] Then, the coverage radiation range of adjacent electronic fence setting points is determined through the signal transmission parameters of the electronic fence setting points. The signal transmission parameters include transmission power and frequency, and different parameters correspond to different coverage radii. Assuming that the transmission power of a setting point is P, according to the technical specifications of the device, the radius R of the coverage radiation range is calculated by the formula , k is a constant related to the type of device. For example, when k = 20 and P = 25 W, R = 100 meters, that is, the coverage radiation range of the setting point is a circular area with a radius of 100 meters and the setting point as the center.
[0125] Then, the overlapping area of the coverage radiation range of adjacent electronic fence setting points is calculated, and the initial coverage correlation degree is determined according to 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. Assuming that the coverage radii of two adjacent setting points are R1 and R2, and the interval is d, there is an overlapping area when d < R1 + R2. The overlapping area is calculated by a geometric formula, 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 areas, that is, the initial coverage correlation degree = S 重叠 / (S1+S2), S1=πR1 2 , S2=πR2 2 . For example, R1 = 100 meters, R2 = 100 meters, and d = 150 meters. Through calculation, S 重叠 ≈3.14×(100 2 -(75 2))≈13737.5 square meters, S1+S2=2x3.14x100 2 =62800 square meters, initial coverage correlation degree ≈ 13737.5 ÷ 62800 ≈ 0.22.
[0126] The signal attenuation law of the electronic fence setting point in each section of the national boundary line under different environmental conditions is judged, and the initial coverage correlation degree is corrected according to the attenuation law. Different environmental conditions such as terrain (mountainous area, plain) and climate (rainy day, sunny day) will result in different signal attenuation degrees. Taking the mountainous terrain as an example, the signal attenuation coefficient is 0.8 for each 100-meter-high mountain, that is, the signal strength becomes 80% of the original. If a certain overlapping area is in a mountainous environment, the actual effective coverage correlation degree after attenuation needs to be multiplied by the attenuation coefficient on the basis of the initial coverage correlation degree. Assuming that the attenuation coefficient is 0.7, the corrected coverage correlation degree = 0.22x0.7 = 0.154.
[0127] Finally, the first correlation coefficient is obtained by weighting the corrected initial coverage correlation degree combined with the spatial distribution characteristics of the electronic fence setting point in each section of the national boundary line. The spacing and relative orientation in the spatial distribution characteristics have different importance to the coverage correlation, so different weights are given. Assuming that the weight of the spacing is w5 and the weight of the relative orientation is w6, and w5+w6=1, then the first correlation coefficient = w5x (corrected initial coverage correlation degree 1) + w6x (corrected initial coverage correlation degree 2). For example, the weight of the spacing w5 is 0.6 and the weight of the relative orientation w6 is 0.4 in a certain section of the national boundary line, and the coverage correlation degree due to the spacing factor after correction is 0.154 and the coverage correlation degree due to the relative orientation factor is 0.2, then the first correlation coefficient = 0.6x0.154+0.4x0.2 = 0.0924+0.08 = 0.1724. Through such weighting processing, the influence of the spatial distribution characteristics on the coverage correlation can be comprehensively reflected, so as to obtain the first correlation coefficient.
[0128] Based on the first comprehensive correlation coefficient, a second comprehensive correlation coefficient of the electronic fence setting coverage data affected by the electronic fence characteristic factor is evaluated, which specifically includes the following steps:
[0129] The influence weight of the electronic fence characteristic factor on the electronic fence setting coverage data is judged to divide the electronic fence characteristic factor into different levels according to the influence weight;
[0130] The electronic fence characteristic factor and the electronic fence setting coverage data of each level are associated and mapped according to the first comprehensive correlation coefficient to obtain a characteristic influence coefficient;
[0131] The interaction between different levels of electronic fence characteristic factors is judged, and the characteristic influence coefficient is coupled and corrected according to the interaction strength;
[0132] The coupling corrected feature influence coefficient is dynamically correlated with the first comprehensive correlation coefficient to obtain a second comprehensive correlation coefficient.
[0133] First, the influence weight of the electronic fence feature factor on the historical influence of the electronic fence setting coverage data is determined, and the electronic fence feature factors are hierarchically divided according to the influence weight. In terms of the length of the national border feature, if the point distribution of the longer national border is unreasonable, it is easy to cause obvious fluctuation of the coverage data. According to the significant degree of the historical influence, the weight is determined. In the regional terrain feature, the attenuation influence of the mountain terrain on the coverage data is much greater than that of the plain, so the influence weight of the mountain terrain is higher than that of the plain. In the border demand feature, the high security demand area has high requirements for the integrity of the coverage data, and the influence weight is also higher. Assuming that the influence weight of the setting density feature is w1=0.3, the length of the national border feature is w2=0.2, the regional terrain feature is w3=0.3, and the border demand feature is w4=0.2, the feature factors are divided into different levels according to these weights, such as the core layer (such as setting density, regional terrain), the important layer (such as the length of the national border), the general layer (such as the border demand), etc.
[0134] Then, the electronic fence feature factors of each level are associated with the electronic fence setting coverage data to obtain the feature influence coefficient according to the first comprehensive correlation coefficient. For example, 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; the length of the national border feature of the important layer, if the first comprehensive correlation coefficient is 0.7, the feature influence coefficient is 0.7×w2=0.7×0.2=0.14; and the feature influence coefficients of the feature factors of each level are obtained in the same way.
[0135] Then, the interaction between the electronic fence feature factors of different levels is determined, and the feature influence coefficient is coupled and corrected according to the interaction strength. For example, the setting density feature (core layer) and the regional terrain feature (core layer) have interaction, in the case of mountain terrain and high setting density, the synergistic effect of the two makes the change degree of the coverage data greater than the sum of the individual action, assuming that the interaction strength coefficient is 1.2, then the coupling corrected feature influence coefficient of the two feature factors is (0.21+0.21)×1.2=0.504; the interaction between the length of the national border feature (important layer) and the border demand feature (general layer) is weak, the interaction strength coefficient is 0.8, and the coupling corrected feature influence coefficient is (0.14+0.14)×0.8=0.224.
[0136] Finally, the coupling-corrected feature influence coefficient is dynamically correlated with the first comprehensive correlation coefficient to obtain a second comprehensive correlation coefficient. Assuming that the coupling-corrected total feature influence coefficient is C (for example, C = 0.504 + 0.224 = 0.728 in the above example), the second comprehensive correlation coefficient = the first comprehensive correlation coefficient * C + the first comprehensive correlation coefficient * (1-C) * k, k is a dynamic correlation coefficient, which is adjusted according to the actual scene, and here it is assumed that k = 0.5, that is, 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. Through such operation, the comprehensive influence of the electronic fence feature factor on the set coverage data can be quantified, so as to obtain the second comprehensive correlation coefficient.
[0137] An electronic fence prevention and management system, comprising:
[0138] An acquisition module: acquiring real-time positioning information of a vehicle, and comparing the real-time positioning information with a preset electronic fence area; wherein the electronic fence area is formed by connecting lines of geographic coordinate points to enclose a target area;
[0139] A first processing module: if the real-time positioning information of the vehicle is located within the electronic fence area, controlling the vehicle to normally travel;
[0140] A second processing module: if the real-time positioning information of the vehicle is located outside the electronic fence area, triggering a reminder signal;
[0141] A control module: after triggering the reminder signal and lasting for a preset time length, if the vehicle is still located outside the electronic fence area, outputting a restriction instruction to an engine control unit to linearly reduce the engine speed to a limit value; wherein the vehicle terminal has an anti-disassembly function, and when it is detected that the vehicle terminal is illegally disassembled, outputting a prohibition start instruction to the engine control unit to make the vehicle unable to start.
[0142] An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements an electronic fence prevention and management method when executing the program.
[0143] As shown in Fig. 3 The electronic device can 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 invoke the logical instructions in the memory 630 to execute an electronic fence prevention and management method.
[0144] In addition, the logic instructions in the memory 630 described above can be implemented in the form of software functional units and sold or used as independent products, and can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application essentially or the parts that contribute to the prior art or parts of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk, and various media that can store program codes.
[0145] In another aspect, the present application also provides a computer program product, which comprises a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and the computer program can be executed by a processor to enable a computer to execute an electronic fence prevention management method.
[0146] In another aspect, the present application also provides a non-transitory computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement an electronic fence prevention management method.
[0147] The device embodiments described above are only schematic, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., they can be located in one place, or distributed on multiple network units. Part or all of the modules can be selected to achieve the purpose of the present embodiment according to actual needs. Those skilled in the art can understand and implement without creative labor.
[0148] From the above description of the embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software plus necessary universal hardware platforms, and of course can also be realized by hardware. Based on such understanding, the above technical solutions essentially or the parts that contribute to the prior art can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.
[0149] It should be pointed out finally that the above embodiments are only used to illustrate the technical solutions of the present application, but not to limit the same; and although the present application has been described in detail with reference to the foregoing embodiments, it should be appreciated by those skilled in the art that the technical solutions recorded in the foregoing embodiments can be modified, or some technical features thereof can be replaced equivalently; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
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.
2. The electronic fence prevention and control management method according to claim 1, characterized in that, It also includes the following steps: 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 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.
3. The electronic fence prevention and control management method according to claim 2, 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.
4. 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 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 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.
5. The electronic fence prevention and control management method according to claim 4, 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.
6. The electronic fence prevention and control management method according to claim 5, 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.
7. The electronic fence prevention and control management method according to claim 2, 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.
8. The electronic fence prevention and control management method according to claim 2, 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.
9. 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 8, 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.
10. 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 the electronic fence prevention and control management method as described in any one of claims 1 to 8.
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