Vehicle over-limit and overload off-site law enforcement abnormal vehicle passing detection system

Abstract

The invention relates to the technical field of vehicle passing detection, in particular to a vehicle over-limit and overload off-site law enforcement abnormal vehicle passing detection system. Comprising an off-site law enforcement vehicle passing detection center, a monitoring end, a vehicle type matching evaluation unit, a dynamic vehicle passing tracking unit, a driving vibration passing unit, a differential passing matching unit, an overload evaluation unit and a warning management unit. According to the invention, analysis is carried out preliminarily from two aspects of vehicle identification and vehicle type matching evaluation, on one hand, the identification efficiency of vehicle type detection and the validity of license plate discrimination are improved, and on the other hand, the vehicle overrun evaluation efficiency is improved, so that an illegal vehicle is reminded to timely process in front, the output of manpower and material resources is effectively reduced, and the efficiency of vehicle overrun evaluation is improved. Analysis is carried out from the perspective of a dynamic passing route in an information progressive mode, and meanwhile, weighing abnormal passing behaviors are comprehensively and quantitatively analyzed from the two points of the driving behavior and the driving speed of the target vehicle, so that the abnormal passing detection efficiency of the target vehicle is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of vehicle passing detection, and in particular to a vehicle overload and overload non-site law enforcement abnormal vehicle passing detection system. Background Art

[0002] Overloaded vehicles are not only likely to cause traffic accidents and endanger the lives and property of the people, but also easily damage roads, bridges and other transportation infrastructure. The non-site enforcement system for overloaded and oversized vehicles on highways uses non-stop dynamic weighing to obtain information on overloaded and oversized freight vehicles, implement advance notification and reminders, and take penalty enforcement measures afterwards, thus transforming the process of overloaded and oversized penalty enforcement from on-site to an information-based office platform.

[0003] In the prior art, toll checkpoints on expressways are equipped with vehicle weighing instruments, which can effectively detect the weight of vehicles, and are of great significance for preventing vehicle overloading and protecting the personal safety of drivers. However, in the prior art, it is impossible to supervise the passing trajectory of vehicles, and thus there are abnormal passing operations that evade detection, and it is impossible to warn drivers in a timely manner, while reducing the detection accuracy and reliability of non-site enforcement of overload and overload, and it is impossible to reasonably match and adjust the vehicle model information based on vehicle identification, which reduces the overload detection efficiency and accuracy of vehicles;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a vehicle overload and non-site law enforcement abnormal vehicle passing detection system to solve the above-mentioned technical defects. The present invention initially analyzes from the two perspectives of vehicle identification and vehicle model matching evaluation. On the one hand, it helps to improve the recognition efficiency of the detection vehicle model and judge the effectiveness of the license plate. On the other hand, it helps to improve the efficiency of vehicle overload evaluation so as to remind the illegal vehicles to be dealt with in time in front, effectively reducing the output of manpower and material resources. Through the progressive information method, the dynamic route is evaluated and analyzed in a standardized driving path to determine whether there are any suspicious points in the driving of the target vehicle, so as to give early warning to the target vehicle based on the information feedback, so as to improve the efficiency of vehicle abnormal passing identification; and further, by comprehensively and quantitatively analyzing the target vehicle's weighing abnormal passing behavior from the two points of the target vehicle's driving behavior and driving speed, it helps to improve the efficiency of abnormal vehicle passing detection of the target vehicle, and at the same time helps to improve the comprehensiveness of abnormal vehicle passing analysis data, and improve the effectiveness and reliability of the analysis results.

[0006] The purpose of the present invention can be achieved by the following technical solutions: a vehicle overload off-site law enforcement abnormal vehicle passing detection system, including an off-site law enforcement vehicle passing detection center, a monitoring terminal, a vehicle model matching evaluation unit, a dynamic vehicle passing tracking unit, a driving vibration passing unit, a differential passing matching unit, an overload evaluation unit and a warning management unit;

[0007] The off-site law enforcement vehicle detection center is used to retrieve the continuous frame license plate information of the target vehicle from the monitoring end, and send the continuous frame license plate information to the vehicle model matching evaluation unit;

[0008] The vehicle model matching evaluation unit is used to perform vehicle identification and vehicle model matching evaluation analysis on the received continuous frame license plate information, and to perform judgment processing on the obtained over-limit evaluation value to obtain a normal signal or an alarm signal;

[0009] The dynamic vehicle passing tracking unit is used to respond to normal signals and collect the dynamic driving route of the target vehicle. At the same time, it performs standardized driving path evaluation and analysis on the dynamic driving route, performs discrimination analysis on the obtained driving standard area, and obtains effective vehicle passing signals or abnormal vehicle passing signals;

[0010] The vehicle vibration passing unit is used to respond to normal signals and collect the vibration frequency characteristic curve of the target vehicle. At the same time, it performs intermittent vehicle passing feature extraction and analysis on the vibration frequency characteristic curve to obtain intermittent vehicle passing signals or smooth vehicle passing signals.

[0011] The differential speed matching unit is used to respond to normal signals and collect the driving speed information of the target vehicle, and at the same time perform differential weighing and passing verification analysis on the driving speed information to obtain a passing qualified signal or a passing unqualified signal;

[0012] The overload assessment unit is used to respond to valid passing signals and pass signals, collect the actual overload information of the target vehicle, perform overload discrimination analysis on the actual overload information of the vehicle, and send the obtained overload warning signal to the warning management unit.

[0013] Preferably, the vehicle identification and vehicle model matching evaluation and analysis process is as follows:

[0014] Set a monitoring period and set it as a time threshold, obtain the measurement area of ​​overloaded vehicles within the time threshold, collect the continuous frame license plate information corresponding to the moment when the target vehicle enters the measurement area, the continuous frame license plate information includes the front license plate number and the rear license plate number, and compare and analyze the continuous frame license plate information with the license plate database to obtain a valid license plate signal or warning signal;

[0015] When a valid license plate signal is generated, characters are extracted from the continuous frames of license plate information, and the character string composed of the characters extracted from the continuous frames of license plate information is set as the vehicle model identification string. The model of the target vehicle is obtained based on the comparison between the vehicle model identification string and the vehicle model identification string library, and the model of the target vehicle is divided and analyzed. If the model of the target vehicle is a detection model, a feedback signal is generated. If the model of the target vehicle is a non-detection model, no signal is generated.

[0016] Preferably, when a feedback signal is generated, the over-limit information of the target vehicle is obtained based on the vehicle type identification string of the target vehicle; the actual vehicle type information of the target vehicle obtained by the laser scanning device in the measurement area is obtained, the actual vehicle type information is compared and analyzed with the over-limit information one by one, the number of times the corresponding value of the actual vehicle type information exceeds the over-limit information is obtained, and the value is set as the over-limit evaluation value, and the over-limit evaluation value is judged and processed to obtain a normal signal or an alarm signal.

[0017] Preferably, the standardized driving path evaluation and analysis process is as follows:

[0018] The initial registration 3D model corresponding to the moment when the target vehicle enters the dynamic weighing area is obtained. The initial registration 3D model is retrieved from the vehicle type identification string library based on the vehicle type identification string, and the initial registration 3D model is revised based on the actual vehicle type information of the target vehicle to obtain the revised 3D model, and the dynamic travel route of the revised 3D model within the time threshold is obtained;

[0019] The effective setting range boundary line of the target vehicle is obtained, and the dynamic traveling route is compared and analyzed with the effective setting range boundary line, and the area formed by the dynamic traveling route exceeding the effective setting range boundary line is obtained, and the area formed by the dynamic traveling route exceeding the effective setting range boundary line is set as the driving standard area, and the driving standard area is discriminated and analyzed to obtain a valid passing signal or an abnormal passing signal.

[0020] Preferably, the intermittent driving feature extraction and analysis process is as follows:

[0021] The duration between the time when the target vehicle enters the dynamic weighing area and the time when it passes through the dynamic weighing area is obtained, and it is set as the weighing duration, and the vibration frequency characteristic curve of the target vehicle within the weighing duration is obtained, and the horizontal line parallel to the X-axis corresponding to the upper limit point of the vibration frequency characteristic curve is set as the upper limit vibration frequency line, and the horizontal line parallel to the X-axis corresponding to the lower limit point of the vibration frequency characteristic curve is set as the lower limit vibration frequency line;

[0022] The rated vibration frequency range of the target vehicle within the weighing time is obtained, the size of the area enclosed by the upper limit vibration frequency line and the lower limit vibration frequency line is obtained, and it is set as the vibration frequency abnormality value, the size of the area enclosed by the rated vibration frequency range is set as the rated vibration frequency index, and the value obtained by subtracting the rated vibration frequency index from the vibration frequency abnormality value is set as the abnormal vehicle passing vibration index, and the abnormal vehicle passing vibration index is discriminated and analyzed to obtain an intermittent vehicle passing signal or a smooth vehicle passing signal.

[0023] Preferably, the differential weighing verification and analysis process is as follows:

[0024] Obtain the abnormal driving speed information of the same historical vehicle corresponding to the vehicle model information of the target vehicle within the weighing time; preprocess the abnormal driving speed information, including cleaning and screening, and train and build a vehicle abnormal passing recognition model after preprocessing the abnormal driving speed information, obtain the driving speed information of the target vehicle within the weighing time, substitute the driving speed information into the vehicle abnormal passing recognition model for matching, obtain the matching degree of the driving speed information of the target vehicle, and set it as the abnormal passing matching degree, perform discrimination analysis on the abnormal passing matching degree, and obtain an intermittent driving signal or a continuous signal;

[0025] If the smooth vehicle passing signal and the continuous signal are generated at the same time, a pass signal is obtained; if the smooth vehicle passing signal and the continuous signal are not generated at the same time, a pass failure signal is obtained.

[0026] Preferably, the overload discrimination analysis process of the overload evaluation unit is as follows:

[0027] The actual overload information of the target vehicle is obtained, and the actual overload information of the vehicle includes vehicle weight, vehicle axle weight, and vehicle axle spacing. The actual overload information of the target vehicle is compared and analyzed with the preset threshold value. If at least one of the actual overload information of the vehicle is met, an overload warning signal is generated. If at least one of the actual overload information of the vehicle is not met, no signal is generated.

[0028] The beneficial effects of the present invention are as follows:

[0029] (1) The present invention is initially analyzed from two perspectives: vehicle identification and vehicle model matching evaluation. On the one hand, it helps to improve the recognition efficiency of the vehicle model and determine the validity of the license plate. On the other hand, it helps to improve the efficiency of vehicle overload evaluation, so as to remind the illegal vehicles ahead to deal with them in time, effectively reducing the output of manpower and material resources. Through the progressive information method, the dynamic driving route is evaluated and analyzed to determine whether there is any suspicious driving of the target vehicle, so as to give the target vehicle an early warning based on the information feedback, so as to improve the efficiency of abnormal vehicle passing identification;

[0030] (2) The present invention further performs a comprehensive quantitative analysis of the target vehicle's abnormal passing behavior by weighing from two aspects: the target vehicle's driving behavior and driving speed. This helps to improve the efficiency of detecting abnormal passing of the target vehicle, and at the same time helps to improve the comprehensiveness of abnormal passing analysis data, and improve the validity and reliability of the analysis results. Based on the overload discrimination analysis of vehicles under normal passing conditions, it can display warnings for overloaded vehicles and remind vehicles ahead to deal with them in a timely manner, which helps to improve road driving safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings;

[0032] Figure 1 It is a flowchart of the system of the present invention;

[0033] Figure 2 It is a local analysis reference diagram of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] Embodiment 1:

[0036] See also Figure 1 to Figure 2 As shown, the present invention is a vehicle overload and overload non-site law enforcement abnormal vehicle passing detection system, including a non-site law enforcement vehicle passing detection center, a monitoring end, a vehicle type matching evaluation unit, a dynamic vehicle passing tracking unit, a vehicle vibration passing unit, a differential passing matching unit, an overload evaluation unit and a warning management unit, the monitoring end is in a one-way communication connection with the non-site law enforcement vehicle passing detection center, the non-site law enforcement vehicle passing detection center is in a one-way communication connection with the vehicle type matching evaluation unit, the vehicle type matching evaluation unit is in a one-way communication connection with the dynamic vehicle passing tracking unit, the vehicle vibration passing unit and the differential passing matching unit, the dynamic vehicle passing tracking unit is in a one-way communication connection with the differential passing matching unit, the vehicle vibration passing unit and the differential passing matching unit are in a one-way communication connection with the overload evaluation unit, and the overload evaluation unit is in a one-way communication connection with the warning management unit;

[0037] The off-site law enforcement vehicle detection center is used to retrieve the continuous frame license plate information of the target vehicle from the monitoring end, and send the continuous frame license plate information to the vehicle model matching evaluation unit;

[0038] The vehicle model matching evaluation unit is used to perform vehicle identification and vehicle model matching evaluation analysis on the received continuous frame license plate information. On the one hand, it helps to improve the recognition efficiency of the detection vehicle model and determine the validity of the license plate. On the other hand, it helps to improve the efficiency of vehicle overload evaluation. The specific vehicle identification and vehicle model matching evaluation analysis process is as follows:

[0039] Set a monitoring period and set it as a time threshold, obtain the measurement area of ​​overloaded vehicles within the time threshold, and collect the continuous frame license plate information corresponding to the moment when the target vehicle enters the measurement area. The continuous frame license plate information includes the front license plate number and the rear license plate number;

[0040] The license plate information of the continuous frames is compared and analyzed with the license plate database. If the license plate information of the continuous frames belongs to the license plate database, a valid license plate signal is generated. If the license plate information of the continuous frames does not belong to the license plate database, a warning signal is generated and sent to the warning management unit through the driving vibration passage unit. After receiving the warning signal, the warning management unit immediately records the passing video of the target vehicle and performs corresponding operations of the warning signal, so as to conduct subsequent accountability for vehicles whose license plates are not detected, so as to improve road driving safety and monitoring and warning effects;

[0041] When a valid license plate signal is generated, characters are extracted from the license plate information of consecutive frames, and the character string composed of the characters extracted from the license plate information of consecutive frames is set as the vehicle model identification string. The vehicle model of the target vehicle is obtained by comparing the vehicle model identification string with the vehicle model identification string library, and the vehicle model of the target vehicle is divided and analyzed. If the vehicle model of the target vehicle is a detection vehicle model, a feedback signal is generated. If the vehicle model of the target vehicle is a non-detection vehicle model, no signal is generated.

[0042] When generating a feedback signal:

[0043] Based on the vehicle type recognition database, the target vehicle's overload information is obtained, including vehicle length limit, vehicle height limit, vehicle width limit, etc.

[0044] The actual vehicle model information of the target vehicle in the measurement area is obtained by the laser scanning device. The actual vehicle model information includes the actual vehicle length, actual vehicle height, actual vehicle width, etc. The actual vehicle model information is compared and analyzed with the over-limit information one by one, and the number of times the corresponding value of the actual vehicle model information exceeds the over-limit information is obtained, and it is set as the over-limit evaluation value, and the over-limit evaluation value is judged and processed:

[0045] If the over-limit evaluation value is equal to zero, a normal signal is generated;

[0046] If the over-limit evaluation value is not equal to zero, an alarm signal is generated, and the normal signal or alarm signal is sent to the alarm management unit via the vehicle vibration passage unit. After receiving the normal signal or alarm signal, the alarm management unit immediately displays the preset warning text corresponding to the alarm signal on the road display screen to remind the vehicle ahead to deal with it in time. This reduces the output of manpower and material resources, and increases the early warning reminder function, which can be applied to all passing vehicles.

[0047] Embodiment 2:

[0048] When a normal signal is generated, the dynamic vehicle tracking unit is used to respond to the normal signal and collect the dynamic route of the target vehicle. At the same time, the standard driving path evaluation and analysis is performed on the dynamic route to determine whether the driving of the target vehicle is suspicious and provide data support for subsequent abnormal vehicle passing. The specific standard driving path evaluation and analysis process is as follows:

[0049] The initial registration 3D model corresponding to the moment when the target vehicle enters the dynamic weighing area is obtained. The initial registration 3D model is retrieved from the vehicle type identification string library based on the vehicle type identification string, and the initial registration 3D model is revised based on the actual vehicle type information of the target vehicle to obtain the revised 3D model, and the dynamic travel route of the revised 3D model within the time threshold is obtained;

[0050] The effective setting range boundary line of the target vehicle is obtained, and the dynamic travel route is compared and analyzed with the effective setting range boundary line, and the area formed by the dynamic travel route exceeding the effective setting range boundary line is obtained, and the area formed by the dynamic travel route exceeding the effective setting range boundary line is set as the driving standard area, and the driving standard area is discriminated and analyzed:

[0051] If the driving specification area is equal to zero, a valid passing signal is generated;

[0052] If the driving standard area is not equal to zero, an abnormal vehicle passing signal is generated, and the valid vehicle passing signal or the abnormal vehicle passing signal is sent to the warning management unit through the differential speed passage matching unit. After receiving the valid vehicle passing signal or the abnormal vehicle passing signal, the warning management unit immediately displays the preset warning text corresponding to the abnormal vehicle passing signal on the road display screen to remind the vehicle ahead to handle it in time, thus reducing the output of manpower and material resources and increasing the warning reminder function;

[0053] In the embodiment of the present invention, the effective setting range boundary lines represent two boundary lines of the vehicle overload effective detection area.

[0054] Embodiment three:

[0055] When a normal signal is generated, the driving vibration passage unit is used to respond to the normal signal and collect the vibration frequency characteristic curve of the target vehicle. At the same time, the intermittent driving feature extraction and analysis of the vibration frequency characteristic curve is performed to determine whether the target vehicle has a stop-and-go intermittent driving phenomenon, so as to provide data support for subsequent analysis. The specific intermittent driving feature extraction and analysis process is as follows:

[0056] The duration between the time when the target vehicle enters the dynamic weighing area and the time when it passes through the dynamic weighing area is obtained, and it is set as the weighing duration, the vibration frequency characteristic curve of the target vehicle within the weighing duration is obtained, the upper limit point of the vibration frequency characteristic curve corresponds to a horizontal line parallel to the X-axis, and it is set as the upper limit vibration frequency line, and the lower limit point of the vibration frequency characteristic curve corresponds to a horizontal line parallel to the X-axis as the lower limit vibration frequency line;

[0057] The rated vibration frequency range of the target vehicle within the weighing time is obtained, the size of the area enclosed by the upper and lower vibration frequency lines is obtained, and it is set as the vibration frequency abnormality value, the size of the area enclosed by the rated vibration frequency range is set as the rated vibration frequency index, the value obtained by subtracting the rated vibration frequency index from the vibration frequency abnormality value is set as the abnormal vehicle passing vibration index, and the abnormal vehicle passing vibration index is discriminated and analyzed:

[0058] If the abnormal vehicle passing vibration index is greater than the preset abnormal vehicle passing vibration index threshold, an intermittent vehicle passing signal is generated;

[0059] If the abnormal vehicle passing vibration index is less than or equal to the preset abnormal vehicle passing vibration index threshold, a smooth vehicle passing signal is generated;

[0060] When a normal signal is generated, the differential speed matching unit is used to respond to the normal signal and collect the driving speed information of the target vehicle, and at the same time perform differential weighing and passing verification analysis on the driving speed information. The specific differential weighing and passing verification analysis process is as follows:

[0061] Obtain the abnormal driving speed information of the same vehicle in history corresponding to the model information of the target vehicle within the weighing time;

[0062] In the embodiment of the present invention, the abnormal driving speed information includes driving speed, acceleration, etc.;

[0063] The abnormal driving speed information is preprocessed, including cleaning and screening. After the abnormal driving speed information is preprocessed, a vehicle abnormal passing recognition model is trained and constructed to obtain the driving speed information of the target vehicle within the weighing time. The driving speed information is substituted into the vehicle abnormal passing recognition model for matching, and the matching degree of the driving speed information of the target vehicle is obtained and set as the abnormal passing matching degree. It should be noted that the larger the value of the abnormal passing matching degree is, the greater the suspicious risk of abnormal passing of the target vehicle is.

[0064] Discriminant analysis of abnormal vehicle matching:

[0065] If the abnormal vehicle passing matching degree is greater than or equal to the preset abnormal vehicle passing matching degree threshold, an intermittent driving signal is generated;

[0066] If the abnormal vehicle passing matching degree is less than the preset abnormal vehicle passing matching degree threshold, a continuous signal is generated;

[0067] If a smooth passing signal and a continuous signal are generated simultaneously, a passing qualified signal is obtained;

[0068] If the smooth passing signal and the continuous signal are not generated at the same time, a passing failure signal is obtained, and the passing passing signal or the passing failure signal is sent to the warning management unit. After receiving the passing passing signal or the passing failure signal, the warning management unit immediately displays the preset warning text corresponding to the passing failure signal on the road display screen to remind the vehicle ahead to handle it in time, and the target vehicle's driving behavior and driving speed are comprehensively and quantitatively analyzed to weigh the abnormal passing behavior of the target vehicle, which helps to improve the abnormal passing detection efficiency of the target vehicle;

[0069] When a valid passing signal and a pass signal are generated, the overload evaluation unit is used to respond to the valid passing signal and the pass signal, collect the actual overload information of the target vehicle, and perform overload discrimination analysis on the actual overload information of the vehicle, so as to remind the vehicle ahead to handle it in time. The specific overload discrimination analysis process is as follows:

[0070] The actual overload information of the target vehicle is obtained, and the actual overload information of the target vehicle includes vehicle weight, vehicle axle weight, vehicle axle spacing, etc. The actual overload information of the target vehicle is compared and analyzed with the preset threshold value. If at least one of the actual overload information of the vehicle is met, an overload warning signal is generated. If at least one of the actual overload information of the vehicle is not met, no signal is generated, and the overload warning signal is sent to the warning management unit. After receiving the overload warning signal, the warning management unit immediately displays the preset warning text corresponding to the overload warning signal on the road display screen, so as to remind the vehicle ahead to handle it in time;

[0071] In summary, the present invention is initially analyzed from the two perspectives of vehicle identification and vehicle model matching evaluation. On the one hand, it helps to improve the recognition efficiency of the detection vehicle model and determine the validity of the license plate. On the other hand, it helps to improve the efficiency of vehicle overload evaluation, so as to remind the illegal vehicles to be dealt with in time in front, effectively reducing the output of manpower and material resources. Through the progressive information method, the dynamic driving route is evaluated and analyzed in a standardized driving path to determine whether the driving of the target vehicle is suspicious, so as to give an early warning to the target vehicle based on the information feedback, so as to improve the efficiency of abnormal vehicle passing recognition.

[0072] Further comprehensive quantitative analysis of the target vehicle's abnormal weighing behavior from two points of view, namely, its driving behavior and driving speed, can help improve the efficiency of abnormal vehicle passing detection of the target vehicle, and at the same time help improve the comprehensiveness of abnormal vehicle passing analysis data, and improve the validity and reliability of the analysis results. Based on the overload discrimination analysis under normal vehicle passing, it can display warnings for overloaded vehicles and remind vehicles ahead to deal with them in time, which can help improve road driving safety.

[0073] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0074] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A vehicle overload and overload non-site law enforcement abnormal vehicle detection system, characterized in that: It includes off-site law enforcement vehicle inspection center, monitoring terminal, vehicle model matching evaluation unit, dynamic vehicle tracking unit, driving vibration passage unit, differential passage matching unit, overload evaluation unit and warning management unit; The off-site law enforcement vehicle detection center is used to retrieve the continuous frame license plate information of the target vehicle from the monitoring end, and send the continuous frame license plate information to the vehicle model matching evaluation unit; The vehicle model matching evaluation unit is used to perform vehicle identification and vehicle model matching evaluation analysis on the received continuous frame license plate information, and to perform judgment processing on the obtained over-limit evaluation value to obtain a normal signal or an alarm signal; The dynamic vehicle passing tracking unit is used to respond to normal signals and collect the dynamic driving route of the target vehicle. At the same time, it performs standardized driving path evaluation and analysis on the dynamic driving route, performs discrimination analysis on the obtained driving standard area, and obtains effective vehicle passing signals or abnormal vehicle passing signals; The vehicle vibration passing unit is used to respond to normal signals and collect the vibration frequency characteristic curve of the target vehicle. At the same time, it performs intermittent vehicle passing feature extraction and analysis on the vibration frequency characteristic curve to obtain intermittent vehicle passing signals or smooth vehicle passing signals. The differential speed matching unit is used to respond to normal signals and collect the driving speed information of the target vehicle, and at the same time perform differential weighing and passing verification analysis on the driving speed information to obtain a passing qualified signal or a passing unqualified signal; The overload assessment unit is used to respond to valid passing signals and pass signals, collect the actual overload information of the target vehicle, perform overload discrimination analysis on the actual overload information of the vehicle, and send the obtained overload warning signal to the warning management unit.

2. According to claim 1, a vehicle overload and overload non-site law enforcement abnormal vehicle passing detection system is characterized in that: The vehicle identification and vehicle model matching evaluation and analysis process is as follows: Set a monitoring period and set it as a time threshold, obtain the measurement area of ​​overloaded vehicles within the time threshold, collect the continuous frame license plate information corresponding to the moment when the target vehicle enters the measurement area, the continuous frame license plate information includes the front license plate number and the rear license plate number, and compare and analyze the continuous frame license plate information with the license plate database to obtain a valid license plate signal or warning signal; When a valid license plate signal is generated, characters are extracted from the continuous frames of license plate information, and the character string composed of the characters extracted from the continuous frames of license plate information is set as the vehicle model identification string. The model of the target vehicle is obtained based on the comparison between the vehicle model identification string and the vehicle model identification string library, and the model of the target vehicle is divided and analyzed. If the model of the target vehicle is a detection model, a feedback signal is generated. If the model of the target vehicle is a non-detection model, no signal is generated.

3. The vehicle overload and overload non-site enforcement abnormal vehicle passing detection system according to claim 2 is characterized in that: When the feedback signal is generated, the overload information of the target vehicle is obtained based on the vehicle type identification string of the target vehicle; The actual vehicle model information of the target vehicle in the measurement area is obtained by the laser scanning equipment, and the actual vehicle model information is compared and analyzed with the over-limit information one by one. The number of times the corresponding value of the actual vehicle model information exceeds the over-limit information is obtained, and it is set as the over-limit evaluation value, and the over-limit evaluation value is judged and processed to obtain a normal signal or an alarm signal.

4. The vehicle overload and overload non-site enforcement abnormal vehicle passing detection system according to claim 1 is characterized in that: The standard driving path evaluation and analysis process is as follows: The initial registration 3D model corresponding to the moment when the target vehicle enters the dynamic weighing area is obtained. The initial registration 3D model is retrieved from the vehicle type identification string library based on the vehicle type identification string, and the initial registration 3D model is revised based on the actual vehicle type information of the target vehicle to obtain the revised 3D model, and the dynamic travel route of the revised 3D model within the time threshold is obtained; The effective setting range boundary line of the target vehicle is obtained, and the dynamic traveling route is compared and analyzed with the effective setting range boundary line, and the area formed by the dynamic traveling route exceeding the effective setting range boundary line is obtained, and the area formed by the dynamic traveling route exceeding the effective setting range boundary line is set as the driving standard area, and the driving standard area is discriminated and analyzed to obtain a valid passing signal or an abnormal passing signal.

5. The vehicle overload and overload non-site enforcement abnormal vehicle passing detection system according to claim 1 is characterized in that: The intermittent driving feature extraction and analysis process is as follows: The duration between the time when the target vehicle enters the dynamic weighing area and the time when it passes through the dynamic weighing area is obtained, and it is set as the weighing duration, and the vibration frequency characteristic curve of the target vehicle within the weighing duration is obtained, and the horizontal line parallel to the X-axis corresponding to the upper limit point of the vibration frequency characteristic curve is set as the upper limit vibration frequency line, and the horizontal line parallel to the X-axis corresponding to the lower limit point of the vibration frequency characteristic curve is set as the lower limit vibration frequency line; The rated vibration frequency range of the target vehicle within the weighing time is obtained, the size of the area enclosed by the upper limit vibration frequency line and the lower limit vibration frequency line is obtained, and it is set as the vibration frequency abnormality value, the size of the area enclosed by the rated vibration frequency range is set as the rated vibration frequency index, and the value obtained by subtracting the rated vibration frequency index from the vibration frequency abnormality value is set as the abnormal vehicle passing vibration index, and the abnormal vehicle passing vibration index is discriminated and analyzed to obtain an intermittent vehicle passing signal or a smooth vehicle passing signal.

6. The vehicle overload and overload non-site enforcement abnormal vehicle passing detection system according to claim 5 is characterized in that: The differential weighing pass verification analysis process is as follows: Obtain the abnormal driving speed information of the same historical vehicle corresponding to the vehicle model information of the target vehicle within the weighing time; preprocess the abnormal driving speed information, including cleaning and screening, and train and build a vehicle abnormal passing recognition model after preprocessing the abnormal driving speed information, obtain the driving speed information of the target vehicle within the weighing time, substitute the driving speed information into the vehicle abnormal passing recognition model for matching, obtain the matching degree of the driving speed information of the target vehicle, and set it as the abnormal passing matching degree, perform discrimination analysis on the abnormal passing matching degree, and obtain an intermittent driving signal or a continuous signal; If the smooth vehicle passing signal and the continuous signal are generated at the same time, a pass signal is obtained; if the smooth vehicle passing signal and the continuous signal are not generated at the same time, a pass failure signal is obtained.

7. The vehicle overload and overload non-site enforcement abnormal vehicle passing detection system according to claim 1 is characterized in that: The overload discrimination analysis process of the overload evaluation unit is as follows: The actual overload information of the target vehicle is obtained, and the actual overload information of the vehicle includes vehicle weight, vehicle axle weight, and vehicle axle spacing. The actual overload information of the target vehicle is compared and analyzed with the preset threshold value. If at least one of the actual overload information of the vehicle is met, an overload warning signal is generated. If at least one of the actual overload information of the vehicle is not met, no signal is generated.

Images