Excessive based on non-site law enforcement data collection and analysis early warning system

Abstract

The application discloses a law enforcement data collection, analysis, early warning system based on overloading non-site, relates to the technical field of overloading management, and discloses an overloading non-record module, a law enforcement data analysis module, a law enforcement early warning starting module and a detection early warning execution module. When an overloading non-site law enforcement early warning vehicle appears, the on-site detection point for checking and handling the early warning vehicle is dynamically determined according to the speed of the early warning vehicle, the timeliness and accuracy of law enforcement are ensured, the on-site detection point is further analyzed, the overloading non-records of the starting detection point and the reselected on-site detection point are deeply analyzed, the detection points possibly passed by the early warning vehicle are comprehensively predicted, and it is no longer needed to arrange checking and handling personnel at each detection point, so that the precision and efficiency of overloading non-site law enforcement are improved.

Description

Technical Field

[0001] This invention relates to the field of overload control management technology, and more specifically, to an enforcement data collection, analysis and early warning system based on off-site enforcement data. Background Technology

[0002] In the transportation sector, overloading and exceeding weight limits have always been significant factors affecting road safety, damaging highway infrastructure, and disrupting the transportation market order.

[0003] Non-site enforcement of overloading regulations refers to the use of modern information technology, such as sensors, cameras, and weighing equipment, to monitor and collect data on moving vehicles in real time. This data is then analyzed to identify overloading and to take appropriate enforcement measures. This method has advantages such as a wide detection range, high enforcement efficiency, and relatively low cost, and has therefore been widely applied and promoted in recent years.

[0004] However, current off-site enforcement systems for overloading still have some problems. Traditional off-site enforcement systems often rely on fixed detection stations, lacking flexibility and dynamism. When on-site detection points detect overloaded vehicles passing by, the system often cannot promptly and effectively investigate and deal with them, and can only notify the driver via SMS to accept the punishment, often lacking the timeliness and accuracy of off-site enforcement.

[0005] To address the aforementioned issues, this invention proposes a law enforcement data collection, analysis, and early warning system based on off-site enforcement of overloading regulations. Summary of the Invention

[0006] In view of the shortcomings of existing technologies, the purpose of this invention is to provide an enforcement data collection, analysis and early warning system based on non-site enforcement of overloading regulations.

[0007] To achieve the above objectives, the present invention provides the following technical solution:

[0008] The enforcement data collection, analysis and early warning system based on non-site enforcement of overloading control includes an overloading control non-recording module, an enforcement data analysis module, an enforcement early warning activation module, and a detection and early warning execution module.

[0009] The overload control non-recording module is used to set up multiple overload control non-detection points on the road. Each time a vehicle passes through an overload control non-detection point, an overload control non-recording is generated.

[0010] The law enforcement data analysis module is used to obtain the comprehensive over-limit index of non-recorded over-limit vehicles. Based on the comparison result of the comprehensive over-limit index and the comprehensive over-limit threshold index, it determines whether to activate the law enforcement warning. After activating the law enforcement warning, the current non-detection point for over-limit vehicles is marked as the starting detection point, and the vehicle is marked as a warning vehicle at the same time.

[0011] When the law enforcement early warning activation module determines to activate the law enforcement early warning, it obtains the driving direction and speed of the non-recorded overload control vehicles, marks all non-overload control detection points after the starting detection point in the driving direction of the vehicles as preliminary on-site detection points, determines the reselection distance range based on the vehicle speed, obtains the reselection distance of the preliminary on-site detection points, and marks all preliminary on-site detection points whose reselection distance is within the reselection distance range as reselection on-site detection points.

[0012] The detection and early warning execution module is used to obtain the non-linkage value of the overload control at the selected on-site detection points. Based on the comparison result of the non-linkage value and the threshold value of the non-linkage value, the module determines the on-site detection points for early warning. All on-site detection points are given early warnings in preparation for the investigation and handling of the warned vehicles.

[0013] Furthermore, non-recorded information for overloading control includes the non-detection point number, vehicle license plate number, comprehensive overload index, record generation time, vehicle direction of travel, and vehicle speed.

[0014] Furthermore, the comprehensive overload index for non-recorded overload control points is obtained through the following steps: Vehicles passing through non-detection points are photographed to obtain vehicle photos; features are extracted from the vehicle photos to obtain vehicle features; an axle count analysis model and an overload analysis model are obtained; the vehicle features are input into the axle count analysis model, which outputs the vehicle's axle count; the limit mass corresponding to this axle count is obtained; the actual mass of the vehicle is obtained; when the actual mass is greater than the limit mass, the difference between the actual mass and the limit mass is calculated to obtain the vehicle's overload mass Dse; the vehicle features are input into the overload analysis model, which outputs the vehicle's overload analysis value Zym; and the formula is used to... The comprehensive over-limit index Bvg for non-recorded over-limit control is obtained, where s1 is the over-limit quality coefficient and s2 is the over-limit analytical coefficient.

[0015] Furthermore, the reselection distance of the initial on-site testing points is obtained through the following steps: calculate the distance difference between the initial on-site testing points and the starting testing point to obtain the reselection distance of the initial on-site testing points.

[0016] Furthermore, the range of multiple selection distances is determined based on the vehicle speed. Specifically, each vehicle speed range corresponds to a range of multiple selection distances. First, the range of vehicle speeds includes (0, sh], (s1, s2], ..., (sh-1, sh], and the range of multiple selection distances includes (0, Ls1], (Ls1, Ls2], ..., (Lsh-1, Lsh).

[0017] Furthermore, the non-linkage value of the overload control at the selected on-site detection points is obtained through the following steps: The comprehensive non-recorded value of overload control at the starting detection point is obtained, along with the comparison value of the non-recorded value of overload control, and marked as... , The non-recorded comprehensive value of the overload control at the starting detection point. The non-recorded comparison value of overload control at the initial detection point is used to obtain the comprehensive non-recorded value of overload control at the selected on-site detection points and the non-recorded comparison value of overload control, and these values ​​are marked as follows. , To select the comprehensive value of non-recorded weight limits at the on-site inspection points, To compare the non-recorded values ​​of the selected on-site inspection points for overload control, the cosine similarity algorithm is used to calculate the non-linkage values ​​of the selected on-site inspection points for overload control.

[0018] Furthermore, the comprehensive value of non-recorded overload control data is obtained through the following steps: All non-recorded overload control data generated within time t before the current system time for a given non-detection point are obtained; the comprehensive overload index of the non-recorded overload control data is obtained; a comprehensive upper overload index and a comprehensive lower overload index are set; when the comprehensive overload index of the non-recorded overload control data is greater than or equal to the comprehensive upper overload index, the number of abnormal overloads is increased by one and marked as ESg; when the comprehensive overload index of the non-recorded overload control data is less than or equal to the comprehensive lower overload index, the number of reasonable overloads is increased by one and marked as RBz; when the comprehensive overload index of the non-recorded overload control data is between the comprehensive upper overload index and the comprehensive lower overload index, the non-recorded overload control data is marked as a fuzzy record; the comprehensive overload indices of all fuzzy records are summed and averaged to obtain the intermediate overload index WSK; and then the formula is used to calculate the intermediate overload index. The comprehensive value Mza of the non-detection point for overload control is obtained, where h1 is the first overload coefficient, h2 is the second overload coefficient, and h3 is the third overload coefficient.

[0019] Furthermore, the comparison value of non-recorded overload control data is obtained through the following steps: obtain all non-recorded overload control data generated within time t before the current system time at non-detection points; sort all non-recorded overload control data in chronological order of their generation time; match adjacent non-recorded overload control data into a continuous record group; obtain the non-continuous overload control value for each continuous record group; sum the non-continuous overload control values ​​of all continuous record groups and take the average to obtain the comparison value of non-recorded overload control data.

[0020] Furthermore, the discontinuous overload control values ​​of the continuous recording group are obtained through the following steps: The comprehensive overload indices of the two non-recorded overload control values ​​in the continuous recording group are summed to obtain the continuous overload control summation index Fjd; the difference between the two non-recorded overload control indices in the continuous recording group is calculated and the absolute value is taken to obtain the continuous overload control difference index Nip; and the value is then calculated using the formula... The non-continuous value of overload control, Sap, is obtained for the continuous record group, where u1 is the coefficient of continuous overload difference.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] 1. Set up a non-recording module for overload control and an enforcement data analysis module to perform in-depth enforcement data analysis on each vehicle passing through the non-detection point for overload control, and accurately and efficiently analyze the overloading behavior of each vehicle through data fusion.

[0023] 2. An enforcement early warning activation module and a detection early warning execution module are set up. When an enforcement early warning vehicle for non-site enforcement of overloading is detected, the on-site detection point for the vehicle is dynamically determined based on the vehicle's speed, ensuring the timeliness and accuracy of enforcement. Furthermore, the on-site detection points are analyzed in depth. By analyzing the non-records of overloading at the initial detection point and the selected on-site detection points, the detection points that the early warning vehicle may pass through can be comprehensively predicted. This eliminates the need to station enforcement personnel at each detection point, improving the accuracy and efficiency of non-site enforcement of overloading. Attached Figure Description

[0024] Figure 1 This is a system flowchart for an enforcement data collection, analysis, and early warning system based on off-site enforcement of overloading regulations;

[0025] Figure 2 This is a system module diagram of a law enforcement data collection, analysis, and early warning system based on off-site enforcement of overloading regulations;

[0026] Figure 3 A flowchart for building the model of the axis number analytical model. Detailed Implementation

[0027] Reference Figures 1 to 3 The system is based on non-site enforcement data collection, analysis and early warning system for overloading control, including overloading control non-recording module, enforcement data analysis module, enforcement early warning activation module and detection early warning execution module.

[0028] Overload Control Non-Record Module: Multiple overload control non-detection points are set up on the road (these points are set up according to the actual road planning and are usually located at the main nodes of freight transportation on the road). When a vehicle passes through an overload control non-detection point, an overload control non-record is generated. The overload control non-record includes the overload control non-detection point number (each overload control non-detection point corresponds to an independent and unique number), vehicle license plate number, comprehensive overload index, record generation time, vehicle direction of travel, and vehicle speed.

[0029] The comprehensive overload index for non-recorded overload control points is obtained through the following steps: Vehicles passing through non-detection points are photographed to obtain vehicle photos; features are extracted from the vehicle photos (using image processing algorithms such as edge detection and contour extraction); an axle count analysis model and an overload analysis model are obtained; the vehicle features are input into the axle count analysis model, which outputs the vehicle's axle count; and the corresponding limit mass is obtained (limit mass is the mass limit for vehicles with a certain number of axles; different axle counts have different limit masses, e.g., a two-axle vehicle). The maximum mass is 'a' kg, and the maximum mass of a two-axle vehicle is 'b' kg (a kg is less than b kg). The actual mass of the vehicle is obtained. When the actual mass is greater than the maximum mass, the difference between the actual mass and the maximum mass is calculated to obtain the vehicle's overload mass Dse. When the actual mass is less than or equal to the maximum mass, no further processing is performed. The vehicle characteristics are input into the overload analysis model (the regulations for cargo length, cargo width, and cargo height are consistent for heavy-duty, medium-duty trucks, and semi-trailers in off-site overload control, so the same overload analysis model is used). The overload analysis model outputs the vehicle's overload analysis value Zym, which is then calculated using the formula... The comprehensive over-limit index Bvg for non-recorded over-limit control is obtained, where s1 is the over-limit quality coefficient and s2 is the over-limit analytical coefficient, with s1 taking the value of 0.98 and s2 taking the value of 0.81.

[0030] The axle count analysis model is constructed through the following steps: collect m sets of vehicle features, each set of vehicle features being the features of one vehicle; construct a neural network model; use the vehicle features as training data for the neural network model; assign a vehicle axle count to each training data point; divide the training data into a training set, a validation set, and a test set in a 3:1:1 ratio; perform iterative training of the neural network on the training set, validation set, and test set; once training is complete, the axle count analysis model is constructed.

[0031] The over-limit analysis model is constructed through the following steps: n sets of vehicle features are collected, each set representing the features of a single vehicle. A neural network model is constructed, using the vehicle features as training data for the neural network model. Each training data point is assigned an over-limit analysis value, ranging from 1.0 to 5.0. A larger over-limit analysis value indicates that the vehicle's cargo length, cargo width, and cargo height are less compliant with regulations, while a smaller value indicates that the vehicle's cargo length, cargo width, and cargo height are more compliant with regulations. The training data is divided into a training set, a validation set, and a test set in a 4:1:1 ratio. The neural network is iteratively trained on the training set, validation set, and test set. Once training is complete, the over-limit analysis model is constructed.

[0032] Enforcement data analysis module: Obtains the comprehensive overload index of non-recorded overload control, sets the comprehensive overload threshold index (the comprehensive overload threshold index is the system's preset index), and determines to activate enforcement warning when the comprehensive overload index of non-recorded overload control is greater than the comprehensive overload threshold index, marks the current non-detection point as the starting detection point, and simultaneously marks the vehicle as a warning vehicle. When the comprehensive overload index of non-recorded overload control is less than or equal to the comprehensive overload threshold index, no further processing is performed.

[0033] The system includes a non-recording module for overload control and an enforcement data analysis module. This module performs in-depth enforcement data analysis on each vehicle passing through the non-detection point for overload control, and uses data fusion to accurately and efficiently analyze the overloading behavior of each vehicle.

[0034] Enforcement early warning activation module: When an enforcement early warning is activated, the module obtains the driving direction and speed of the non-recorded overload control vehicle. All non-recorded overload control points after the initial detection point in the driving direction are marked as preliminary on-site detection points (all non-recorded overload control points after the driving direction are not necessarily on the same road, but may be distributed on multiple different branch roads, so the roads that the pre-selected vehicle will pass through are uncertain). The module determines the reselection distance range based on the vehicle speed, obtains the reselection distance of the preliminary on-site detection points, and marks all preliminary on-site detection points whose reselection distance is within the reselection distance range as reselection on-site detection points.

[0035] The reselection distance of the initial on-site testing points is obtained through the following steps: calculate the distance difference between the initial on-site testing points and the starting testing point to obtain the reselection distance of the initial on-site testing points.

[0036] The multiple selection distance range is determined based on the vehicle speed. Specifically, each vehicle speed range corresponds to a multiple selection distance range. First, the vehicle speed range includes (0, sh], (s1, s2], ..., (sh-1, sh], and the multiple selection distance range includes (0, Ls1], (Ls1, Ls2], ..., (Lsh-1, Lsh]). When the vehicle speed ∈ (0, sh], the corresponding multiple selection distance range is (0, Ls1).

[0037] Detection and early warning execution module: Obtains the comprehensive value of non-recorded overload control at the starting detection point and the comparison value of non-recorded overload control, and marks it as... , The non-recorded comprehensive value of the overload control at the starting detection point. The non-recorded comparison value of overload control at the initial detection point is used to obtain the comprehensive non-recorded value of overload control at the selected on-site detection points and the non-recorded comparison value of overload control, and these values ​​are marked as follows. , To select the comprehensive value of non-recorded weight limits at the on-site inspection points, To compare the non-recorded values ​​of the selected on-site inspection points, the cosine similarity algorithm is used to calculate the non-linkage value of the selected on-site inspection points. A threshold for the non-linkage value is set (the threshold is a preset threshold of the system). When the non-linkage value of the selected on-site inspection point is greater than the threshold, the selected on-site inspection point is marked as an early warning on-site inspection point. When the non-linkage value of the selected on-site inspection point is less than or equal to the threshold, no further processing is performed, and all early warning on-site inspection points issue an early warning, preparing to investigate and deal with the warned vehicles.

[0038] Non-linkage values ​​for overload control at on-site inspection points .

[0039] The comprehensive value of non-recorded overload control data is obtained through the following steps: Obtain all non-recorded overload control data generated within time t before the current system time for a given non-detection point; obtain the comprehensive overload index of the non-recorded overload control data; set the comprehensive upper overload index and the comprehensive lower overload index (the comprehensive upper overload index is greater than the comprehensive lower overload index, and both are system-preset indices); when the comprehensive overload index of the non-recorded overload control data is greater than or equal to the comprehensive upper overload index, increment the number of abnormal overloads by one and mark it as ESG; when the comprehensive overload index of the non-recorded overload control data is less than or equal to the comprehensive lower overload index, increment the number of reasonable overloads by one and mark it as RBz; when the comprehensive overload index of the non-recorded overload control data is between the comprehensive upper overload index and the comprehensive lower overload index, mark the non-recorded overload control data as a fuzzy record; sum the comprehensive overload indices of all fuzzy records and take the average to obtain the median overload index WSK; and then use the formula... The comprehensive value Mza of the non-detection point for overload control is obtained, where h1 is the first overload coefficient, h2 is the second overload coefficient, and h3 is the third overload coefficient. The value of h1 is 1.12, the value of h2 is 1.07, and the value of h3 is 0.63.

[0040] The comparison value of non-recorded overload control data is obtained through the following steps: obtain all non-recorded overload control data generated within time t before the current system time at non-detection points; sort all non-recorded overload control data in chronological order of their generation time; match adjacent non-recorded overload control data into a continuous record group; obtain the non-continuous overload control value for each continuous record group; sum the non-continuous overload control values ​​of all continuous record groups and take the average to obtain the comparison value of non-recorded overload control data.

[0041] The discontinuous overload control values ​​of the continuous recording group are obtained through the following steps: Summing the comprehensive overload indices of the two non-recorded overload control values ​​in the continuous recording group yields the continuous overload control summation index Fjd; calculating the difference between the two non-recorded overload control indices in the continuous recording group and taking the absolute value yields the continuous overload control difference index Nip; and then applying the formula... The non-continuous value Sap of the overload control for the continuous record group is obtained, where u1 is the overload continuity difference coefficient, and the value of u1 is 0.39.

[0042] The system is equipped with an enforcement early warning activation module and a detection early warning execution module. When an enforcement early warning vehicle for overloading is detected, the system dynamically determines the on-site detection point for the vehicle based on its speed, ensuring the timeliness and accuracy of enforcement. Furthermore, the system analyzes the on-site detection points in depth, including the initial detection point and the selected on-site detection points, to predict the detection points that the warning vehicle may pass through. This eliminates the need to deploy enforcement personnel at each detection point, improving the accuracy and efficiency of non-site enforcement of overloading regulations.

[0043] The above formulas are all dimensionless calculations, and the preset parameters in the formulas should be set by those skilled in the art according to the actual situation.

[0044] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0045] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0046] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0047] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0048] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0049] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion 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 this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0050] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A system for collecting, analyzing, and warning based on off-site law enforcement data of overloading, characterized in that, The system comprises a non-recorded overloading treatment module, a law enforcement data analysis module, a law enforcement early warning starting module, and a detection early warning execution module. The non-recorded overloading treatment module is configured to set multiple non-recorded overloading treatment detection points on a road, and generate a non-recorded overloading treatment record for each vehicle passing through a non-recorded overloading treatment detection point. The law enforcement data analysis module is configured to obtain a comprehensive over-limit index of the non-recorded overloading treatment record, determine whether to start law enforcement early warning based on a comparison result of the comprehensive over-limit index and a comprehensive over-limit threshold index, and after starting law enforcement early warning, mark a current non-recorded overloading treatment detection point as a starting detection point and mark the vehicle as a warning vehicle. The law enforcement early warning starting module is configured to, when determining to start law enforcement early warning, obtain a vehicle driving direction and a vehicle speed of the non-recorded overloading treatment record, mark all non-recorded overloading treatment detection points after the starting detection point in the vehicle driving direction as preliminary selected on-site detection points, determine a reselected distance range according to the vehicle speed, obtain a reselected distance of the preliminary selected on-site detection points, and mark all preliminary selected on-site detection points with the reselected distance within the reselected distance range as reselected on-site detection points. The detection early warning execution module is configured to obtain a non-recorded overloading treatment linkage value of the reselected on-site detection points, determine a warning on-site detection point based on a comparison result of the non-recorded overloading treatment linkage value and a non-recorded overloading treatment linkage value threshold, and perform early warning on all warning on-site detection points and prepare to handle the warning vehicle.

2. The system according to claim 1, characterized in that, The non-recorded overloading treatment record comprises a non-recorded overloading treatment detection point number, a vehicle license plate number, a comprehensive over-limit index, a record generation time, a vehicle driving direction, and a vehicle speed.

3. The system according to claim 1, characterized in that, The comprehensive overload index of non-recorded treatment is obtained through the following steps: taking a photo of the vehicle passing through the non-detection point of the treatment, obtaining a vehicle photo, extracting features from the vehicle photo to obtain vehicle features, obtaining an axle number analysis model and an overload analysis model, inputting the vehicle features into the axle number analysis model, and outputting the vehicle axle number from the axle number analysis model, obtaining the limit mass corresponding to the vehicle axle number, obtaining the actual mass of the vehicle, when the actual mass is greater than the limit mass, calculating the difference between the actual mass and the limit mass to obtain the overload mass Dse of the vehicle, inputting the vehicle features into the overload analysis model, and outputting the overload analysis value Zym of the vehicle from the overload analysis model, and using the formula to obtain the comprehensive overload index Bvg of non-recorded treatment, wherein s1 is an overload mass coefficient, and s2 is an overload analysis coefficient.

4. The system according to claim 1, characterized in that, The reselected distance of the preliminary selected on-site detection points is obtained by the following steps: calculating a distance difference value between the preliminary selected on-site detection points and the starting detection point to obtain the reselected distance of the preliminary selected on-site detection points.

5. The system according to claim 1, characterized in that, The reselected distance range is determined according to the vehicle speed, and specifically, a range of each vehicle speed corresponds to a reselected distance range. First, the range of the vehicle speed includes (0, sh], (s1, s2], …, (sh-1, sh], and the range of the reselected distance range includes (0, Ls1], (Ls1, Ls2], …, (Lsh-1, Lsh].

6. The system according to claim 1, characterized in that, The non-linkage value of the overloading treatment of the rechecked field detection point is obtained by the following steps: obtaining the non-record comprehensive value and the non-record comparison value of the overloading treatment of the starting detection point, and marking them as , is the non-record comprehensive value of the overloading treatment of the starting detection point, is the non-record comparison value of the overloading treatment of the starting detection point, obtaining the non-record comprehensive value and the non-record comparison value of the overloading treatment of the rechecked field detection point, and marking them as , is the non-record comprehensive value of the overloading treatment of the rechecked field detection point, is the non-record comparison value of the overloading treatment of the rechecked field detection point, and the non-linkage value of the overloading treatment of the rechecked field detection point is calculated by using the cosine similarity algorithm.

7. The system according to claim 6, characterized in that, The comprehensive value of the overload non-recording is obtained by the following steps: obtaining all overload non-recording generated by an overload non-detection point in a time period of t before the current time of the system, obtaining the comprehensive overload index of the overload non-recording, setting the comprehensive overload upper index and the comprehensive overload lower index, when the comprehensive overload index of the overload non-recording is greater than or equal to the comprehensive overload upper index, increasing the overload abnormal times by one, marking the overload abnormal times as ESg, when the comprehensive overload index of the overload non-recording is less than or equal to the comprehensive overload lower index, increasing the overload reasonable times by one, marking the overload reasonable times as RBz, when the comprehensive overload index of the overload non-recording is between the comprehensive overload upper index and the comprehensive overload lower index, marking the overload non-recording as a fuzzy record, summing and averaging the comprehensive overload indexes of all fuzzy records to obtain the median overload index WSk, and obtaining the comprehensive value Mza of the overload non-recording of the overload non-detection point by the formula wherein h1 is the first overload coefficient, h2 is the second overload coefficient, and h3 is the third overload coefficient.

8. The system according to claim 6, characterized in that, The non-recorded overloading treatment record comparison value is obtained by the following steps: obtaining all non-recorded overloading treatment records generated by the non-recorded overloading treatment detection points within a time length t before the current time of the system, sequentially sorting all non-recorded overloading treatment records according to the record generation time, matching the adjacent two non-recorded overloading treatment records after sorting as a continuous record group, obtaining a non-recorded overloading treatment continuous value of each continuous record group, summing all non-recorded overloading treatment continuous values of the continuous record groups and taking an average value to obtain the non-recorded overloading treatment record comparison value.

9. The system according to claim 8, characterized in that, The non-continuous value of the super-control of the continuous record group is obtained by the following steps: summing the two super-control non-records in the continuous record group to obtain a super-limit continuous summation index Fjd, and calculating the difference of the two super-control non-records in the continuous record group and taking the absolute value to obtain a super-limit continuous difference index Nip, and using the formula to obtain the non-continuous value Sap of the super-control of the continuous record group, wherein u1 is a super-limit continuous difference coefficient.

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