CN116884210A

CN116884210A - Dynamic vehicle detection method and system

Info

Publication number: CN116884210A
Application number: CN202310648100.4A
Authority: CN
Inventors: 李海根; 梁伟; 赖松根; 管峰; 谢东辉; 王林; 兰华荣
Original assignee: Shaoxing Kent Mechanical & Electrical Co ltd; Xiamen Kunhengxuan Technology Industry Co ltd
Current assignee: Shaoxing Kent Mechanical & Electrical Co ltd; Xiamen Kunhengxuan Technology Industry Co ltd
Priority date: 2023-06-02
Filing date: 2023-06-02
Publication date: 2023-10-13

Abstract

The application relates to the technical field of traffic detection, and provides a method and a system for detecting a dynamic vehicle. The dynamic vehicle detection method comprises the following steps: acquiring weighing data of a target vehicle in a weighing area in response to the first sensing signal; determining a dynamic weight of the target vehicle based on the weighing data in response to the second sensing signal corresponding to the first sensing signal ending; determining a target correction parameter based on the number of axles of the target vehicle; correcting the dynamic weight based on the target correction parameter to obtain corrected weight; whether the target vehicle is overweight is determined based on the corrected weight. By adopting the technical scheme, the problem of poor traffic law enforcement effect can be solved, and because the target correction parameters are determined based on the axle number of the target vehicle, and the dynamic weight is corrected based on the target correction parameters to obtain corrected weight, the accuracy of the overweight judgment result obtained based on the corrected weight can be improved, and therefore traffic law enforcement can be accurately assisted.

Description

Dynamic vehicle detection method and system

Technical Field

The application relates to the technical field of traffic detection, in particular to a dynamic vehicle detection method and a system.

Background

The off-site traffic law enforcement overrun detection system is a road traffic site monitoring system which is installed at a specific highway site and dynamically weighs, photographs, records and processes motor vehicles passing through the site, and how to realize dynamic vehicle detection is the key of off-site overrun law enforcement.

In the related art, the dynamic vehicle detection system comprises a control device, an automobile scale and a vehicle sensing device, wherein when the vehicle sensing device senses that a vehicle enters a weighing area, the control device obtains the reading of the automobile scale and calculates the load of the vehicle based on the reading of the automobile scale so as to realize dynamic vehicle detection.

However, the inventor found that in the course of the dynamic detection, the calculated vehicle weight is inaccurate when the vehicle weight is calculated based on the reading of the truck scale, which may cause a problem of poor traffic enforcement effect.

Disclosure of Invention

In order to help solve the problem of poor traffic law enforcement effect caused by inaccurate detected vehicle weight, the application provides a dynamic vehicle detection method and a system.

In a first aspect, a dynamic vehicle detection method is provided, which is used for a dynamic vehicle detection system, and adopts the following technical scheme:

A dynamic vehicle detection method for a dynamic vehicle detection system, the method comprising:

acquiring weighing data of a target vehicle in a weighing area in response to a first sensing signal, wherein the first sensing signal is generated when a vehicle moves at an entrance position of the weighing area;

determining a dynamic weight of the target vehicle based on the weighing data in response to a second sensing signal corresponding to the first sensing signal ending, the second sensing signal being generated when a vehicle moves at an exit location of the weighing area;

determining a target correction parameter based on the number of axles of the target vehicle;

correcting the dynamic weight based on the target correction parameter to obtain corrected weight;

determining whether the target vehicle is overweight based on the corrected weight.

By adopting the technical scheme, the problem of poor traffic law enforcement effect caused by inaccurate vehicle weight calculation can be solved, in the technical scheme, the target correction parameters are determined based on the axle number of the target vehicle, the dynamic weight is corrected based on the target correction parameters, and the corrected weight is obtained, so that the accuracy of the determined vehicle weight is improved, the accuracy of an overweight judgment result obtained based on the corrected weight can be improved, and the traffic law enforcement can be accurately assisted.

Optionally, after determining whether the target vehicle is overweight based on the corrected weight, the method further includes:

under the condition that the overweight of the target vehicle is determined, acquiring vehicle identification information corresponding to the target vehicle;

and generating overweight prompt information based on the vehicle identification information, and sending the overweight prompt information to an information output device so that the information output device can output the overweight prompt information.

According to the technical scheme, the identification information of the target vehicle is acquired under the condition that the target vehicle is overweight, and the overweight prompt information is generated based on the identification information of the target vehicle, so that the identification information of the target vehicle can be acquired according to actual needs, misuse of the identification information of the vehicle can be avoided, and further safety of the vehicle information can be improved.

Optionally, the obtaining the vehicle identification information corresponding to the target vehicle includes:

determining a reference time period based on a start time of the first sense signal and an end time of the second sense signal;

and determining the vehicle identification information based on the identification information of the weighing area acquired in the reference time period.

According to the technical scheme, the reference time period is determined based on the starting time of the first induction signal and the ending time of the second induction signal, and the vehicle identification information is determined based on the identification information of the weighing area acquired in the reference time period, so that the determined vehicle identification information is matched with the target vehicle, the vehicle identification information of the target vehicle can be accurately determined, and the accuracy of the generated overweight prompting information can be improved.

Optionally, after the beginning of the response to the first sensing signal, the method further includes:

binding first reference information with the target vehicle, wherein the acquisition range of the first reference information comprises an area before the weighing area, and the acquisition time of the first reference information is positioned before the starting time of the first induction signal;

and responding to the end of a second sensing signal corresponding to the first sensing signal, further comprising:

binding second reference information with the target vehicle, wherein the acquisition range of the second reference information comprises an area behind the weighing area, and the acquisition time of the second reference information is positioned behind the starting time of the second induction signal.

In the above technical solution, since the first reference information collected in the area before the weighing area before the start time of the first sensing signal and the second reference information collected in the area after the weighing area after the start time of the second sensing signal are bound to the target vehicle, it is convenient to query information when the target vehicle passes through the area before and after the weighing area, and it is convenient to determine whether the target vehicle has abnormal driving behavior based on the reference information of the target vehicle.

under the condition that the overweight of the target vehicle is determined, acquiring vehicle identification information of the target vehicle;

and generating an overweight record based on the corrected weight, the first reference information, the second reference information, the vehicle identification information and/or the identification information corresponding to the target vehicle.

According to the technical scheme, under the condition that the target vehicle is overweight, the overweight record is generated based on the corrected weight, the first reference information, the second reference information, the vehicle identification information and/or the identification information corresponding to the target vehicle, so that evidence of suspected overload of the target vehicle can be fixed, and traffic law enforcement departments can conveniently review and process the behavior of suspected overload of the target vehicle.

Optionally, the determining the target correction parameter based on the number of axles of the target vehicle includes:

acquiring the speed of the target vehicle;

the target correction parameter is determined based on the number of axles and the speed of the target vehicle.

The inventor finds that in the research process, the speed of the vehicle can influence the reading of the truck scale in the dynamic weighing process, and in the technical scheme, the target correction parameters can be determined by combining the axle number and the speed of the target vehicle, so that the accuracy of the determined target correction parameters can be improved, the corrected weight can better reflect the actual weight of the target vehicle, and the effect of traffic law enforcement can be improved.

Optionally, the acquiring the speed of the target vehicle includes:

acquiring first sensing data of a first position and second sensing data of a second position in the weighing area, wherein the first position and the second position are distributed along the driving-in direction of a vehicle in the weighing area;

the speed of the target vehicle is determined based on the change in the first sensor data, the change in the second sensor data, and the separation distance between the first location and the second location.

In the above technical solution, since the time of the target vehicle passing through the first position can be determined based on the change condition of the first sensing data of the first position, the time of the target vehicle passing through the second position can be determined based on the change condition of the second sensing data of the second position, and the speed of the target vehicle can be determined by combining the interval distance between the first position and the second position, the speed of the target vehicle can be determined based on the change condition of the first sensing data, the change condition of the second sensing data and the interval distance.

Optionally, the determining the target correction parameter based on the number of axles and the speed of the target vehicle includes:

determining a second mapping rule corresponding to the number of axles of the target vehicle;

the target correction parameter is determined based on the second mapping rule and a speed of the target vehicle.

In the above technical solution, the target correction parameter may be determined based on the second mapping rule corresponding to the number of axles of the target vehicle and the speed of the target vehicle, where the second mapping rule corresponding to the number of axles is preset, so that the target correction parameter may be determined by combining the number of axles of the target vehicle with the speed of the target vehicle, so that the calculation speed of the target correction parameter may be increased while the accuracy of the target correction parameter is ensured, and further the efficiency of vehicle detection may be improved.

In a second aspect, a dynamic vehicle detection system is provided, and the following technical scheme is adopted:

the dynamic vehicle detection system comprises a control device, at least one truck scale, a first vehicle sensing assembly, a second vehicle sensing assembly and an information acquisition device, wherein the at least one truck scale, the first vehicle sensing assembly, the second vehicle sensing assembly and the information acquisition device are in signal connection with the control device;

the truck scale is arranged in a weighing area and is used for collecting weighing data of vehicles in the weighing area;

the first vehicle sensing assembly is used for sensing a moving vehicle at the entrance position of the weighing area and transmitting a first sensing signal to the control equipment;

the second vehicle sensing assembly is used for sensing a moving vehicle at the outlet position of the weighing area and transmitting a second sensing signal to the control equipment;

the information acquisition equipment is used for acquiring the identification information in the weighing area and transmitting the identification information to the control equipment;

the control device is adapted to perform any of the dynamic weighing methods provided in the first aspect.

Optionally, the truck scale comprises a first weighing sensor arranged at a first position and a second weighing sensor arranged at a second position, and the first position and the second position are distributed along the driving-in direction of the truck scale.

In the technical scheme, the first position and the second position are distributed along the vehicle entrance direction of the truck scale, so that the vehicle can pass through the first weighing sensor and the second weighing sensor successively in the process of driving the vehicle through the weighing area, and the speed of the target vehicle can be conveniently determined based on the change condition of the weighing data acquired by the first weighing sensor, the change condition of the weighing data acquired by the second weighing sensor and the interval distance between the first position and the second position.

In summary, the present application includes at least one of the following beneficial technical effects:

1. the method can help solve the problem of poor traffic law enforcement effect caused by inaccurate calculation of the vehicle weight, and because the target correction parameters are determined based on the axle number of the target vehicle, and the dynamic weight is corrected based on the target correction parameters to obtain corrected weight, the method is favorable for improving the accuracy of the determined vehicle weight, so that the accuracy of an overweight judgment result obtained based on the corrected weight can be improved, and further traffic law enforcement can be accurately assisted.

2. Because the information of the target vehicle in the weighing area is acquired when the first sensing signal starts, and whether the target vehicle is overweight or not is determined when the second sensing signal corresponding to the first sensing signal ends, the acquisition of the information in the symmetrical weighing area can be controlled based on the first sensing signal and the second sensing signal, the acquired information can be matched with the vehicle, and the accuracy of the overweight judging result can be improved.

Drawings

FIG. 1 is a flow chart of a method for dynamic vehicle detection provided by an embodiment of the present application;

FIG. 2 is a flow chart of an overweight treatment method according to an embodiment of the present application;

FIG. 3 is a flowchart of a method for acquiring vehicle identification information according to an embodiment of the present application;

FIG. 4 is a flow chart of another overweight treatment method according to the embodiment of the application;

FIG. 5 is a flowchart of a method for determining a target correction parameter according to an embodiment of the present application;

FIG. 6 is a flowchart of another method for determining a target correction parameter according to an embodiment of the present application;

FIG. 7 is a flow chart of a speed determination method provided by an embodiment of the present application;

FIG. 8 is a block diagram of a dynamic vehicle detection system provided in an embodiment of the present application;

fig. 9 is a block diagram of another dynamic vehicle detection system provided by an embodiment of the present application.

Reference numerals illustrate: 810. a control device; 820. an automobile scale; 821. a first load cell; 822. a second load cell; 830. a first vehicle sensing assembly; 840. a second vehicle sensing assembly; 850. an information acquisition device.

Description of the embodiments

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings 1 to 9 and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

In order to help solve the problem of poor traffic law enforcement effect caused by inaccurate detected vehicle weight, the embodiment of the application provides a dynamic vehicle detection method and a system. In the research process, the inventor finds that in a dynamic weighing scene, the axle number of the vehicle can influence the weighing result of the truck scale on the vehicle, namely, the dynamic weighing result of vehicles with the same weight but different axle numbers may have differences.

The embodiment of the application provides a dynamic vehicle detection method, referring to fig. 1, the dynamic vehicle detection method comprises the following steps:

step 101, starting responding to a first sensing signal, and acquiring weighing data of a target vehicle in a weighing area.

Wherein the first sensing signal is generated when the vehicle moves at the entrance position of the weighing area.

Alternatively, the first sensing signal begins when the vehicle begins to pass through the entrance location of the weighing region and ends when the vehicle completely passes through the entrance location of the weighing region.

In one example, the entrance position of the weighing area is provided with a first induction coil that generates a first induction signal when the vehicle moves at the entrance position of the weighing area.

In actual implementation, the first sensing signal may also be generated by other sensing devices, such as: the sensing mode of the first sensing signal is not limited in this embodiment.

In this embodiment, the weighing data is used to indicate the weight of the target vehicle. Specifically, the weighing data are collected by the truck scale arranged in the weighing area.

In one example, the truck scale in the weighing area is an axle weight truck scale, and during running, each axle of the target vehicle may sequentially drive through the weighing area, where the weighing data of the target vehicle includes at least two pieces of weighing data, where the weighing data is used to indicate the axle weight of the axle of the target vehicle, that is, the weighing data collected when the axle of the axle passes through the truck scale.

Step 102, determining the dynamic weight of the target vehicle based on the weighing data in response to the second sensing signal corresponding to the first sensing signal ending.

Wherein the second sensing signal is generated when the vehicle moves at the exit position of the weighing area.

Alternatively, the second sensing signal begins when the vehicle begins to pass through the exit location of the weighing region and ends when the vehicle completely passes through the exit location of the weighing region.

In one example, the exit position of the weighing area is provided with a second induction coil that generates a second induction signal when the vehicle is moving at the exit position of the weighing area.

Optionally, the determining manner of the second sensing signal corresponding to the first sensing signal includes: and a second sensing signal having a start time located after the start time of the first sensing signal and having a start time closest to the start time of the first sensing signal. Since the vehicle passes through the entrance position and the exit position of the weighing area in sequence during running, the start time of the second sensing signal corresponding to the first sensing signal is later than the start time of the first sensing signal.

Further, since the first sensing signal and the second sensing signal are both obtained by sensing the vehicle, characteristic information (such as time length, waveform, peak value, etc.) of sensing signals corresponding to different vehicles may be different, and therefore, when the type of the first sensing signal acquisition device is the same as the type of the second sensing signal acquisition device, the determined second sensing signal can be verified based on the characteristic matching relationship between the first sensing signal and the second sensing signal, and the accuracy of the determined second sensing signal corresponding to the first sensing signal can be further improved.

Optionally, the method for determining the dynamic weight based on the weighing data is determined based on the calibration method of the truck scale corresponding to the weighing data.

In one example, determining the dynamic weight based on the weighing data includes: the product of the weighing data and the sensor gain is determined as a dynamic weight.

The sensing gain is obtained in the process of calibrating the truck scale in advance.

Optionally, in the case that the truck scale includes more than two weighing sensors, the weighing data is obtained by fusing the sensing data acquired by at least one weighing sensor. The mode of fusing the sensing data acquired by the sensor is determined based on the calibration mode of the truck scale.

In one example, the weighing data is obtained by adding up the sensing data acquired by some or all of the weighing sensors on the truck scale.

In one example, the load cell is an axle load cell, where determining the dynamic weight of the target vehicle based on the weighing data includes: determining a reference time period based on a start time of the first sense signal and an end time of the second sense signal; determining axle weights of all axles of the target vehicle based on weighing data acquired in a reference time period; the dynamic weight is determined based on the axle weights of the respective axles of the target vehicle.

Optionally, determining the reference time period based on the start time of the first sensing signal and the end time of the second sensing signal includes: a period of time between a start time of the first sensing signal and an end time of the second sensing signal is determined as a reference period of time.

Optionally, determining the axle weights of the axles of the target vehicle based on the weighing data collected during the reference time period includes: and for each weighing data acquired in the reference time period, determining the axle weight of the axle by multiplying the weighing data by the sensing gain to obtain the axle weight of each axle of the target vehicle.

Optionally, determining the dynamic weight based on the axle weights of the respective axles of the target vehicle includes: the sum of the axle weights of the respective axles of the target vehicle is determined as the dynamic weight.

In actual implementation, the dynamic weight may be determined based on the weighing data in other manners, and the method of determining the dynamic weight is not limited in this embodiment.

Step 103, determining a target correction parameter based on the number of axles of the target vehicle.

Alternatively, the number of axles of the target vehicle may be determined based on weighing data, such as: the determination is based on the number of wave peaks in the weighing data, or can be based on the identification information collected by the information collecting device, for example: based on the image information determination acquired by the image acquisition device, the present embodiment does not limit the manner of determining the number of axles of the target vehicle.

Optionally, determining the target correction parameter corresponding to the target vehicle based on the number of axles of the target vehicle includes: and determining a target correction parameter corresponding to the number of axles of the target vehicle based on a preset first mapping rule.

Wherein the first mapping rule is pre-stored in the control device.

In one example, the first mapping rule includes reference correction parameters corresponding to different axle numbers, and determining the axle number of the target vehicle based on the preset first mapping rule includes: and determining a preset correction reference corresponding to the number of axles of the target vehicle as a target correction parameter.

In one example, the reference correction parameters corresponding to the number of axles are obtained by calibrating the truck scale by using test vehicles with different numbers of axles. For example: and (3) driving vehicles with different axle numbers through the truck scale, calculating to obtain the dynamic weight of the vehicle based on weighing data acquired by the truck scale, and determining the ratio of the actual weight of the vehicle to the dynamic weight as a correction parameter corresponding to the axle number of the vehicle. In actual test, multiple tests can be performed on vehicles with the same axle number, and then comprehensive analysis (such as average value taking) is performed on correction parameters obtained by the multiple tests to obtain correction parameters corresponding to the axle number, so that the accuracy of the determined correction parameters can be improved.

And 104, correcting the dynamic weight based on the target correction parameter to obtain corrected weight.

In one example, correcting the dynamic weight based on the target correction parameter to obtain a corrected weight includes: the product of the dynamic weight and the target correction parameter is determined as the corrected weight.

In one example, the product of the dynamic weight and the target correction parameter is determined as the corrected weight, expressed by:

wherein, the liquid crystal display device comprises a liquid crystal display device,is corrected weight; />Is a dynamic weight; />Parameters are modified for the target.

Step 105, determining whether the target vehicle is overweight based on the corrected weight.

Optionally, determining whether the target vehicle is overweight based on the corrected weight includes: determining whether the corrected weight is greater than a weight threshold; determining that the target vehicle is overweight if the corrected weight is greater than the weight threshold; in the event that the corrected weight is less than or equal to the weight threshold, it is determined that the target vehicle is not overweight.

Wherein, weight threshold value is preset according to actual detection needs.

Because there may be a difference in weight thresholds for vehicles having different numbers of axles, in one example, determining whether the corrected weight is greater than the weight threshold further includes: a weight threshold is determined based on the number of axles of the target vehicle. Therefore, the accuracy of the determined weight threshold value can be improved, the accuracy of traffic enforcement can be improved, and the effect of traffic enforcement can be improved.

Wherein weight thresholds corresponding to different numbers of axes are preset.

Since there may be differences in the weight thresholds corresponding to vehicles of different vehicle types, in another example, before determining whether the target vehicle is overweight based on the corrected weight, it includes: determining the model of a target vehicle; a weight threshold is determined based on the vehicle of the target vehicle. Therefore, the accuracy of the determined weight threshold value can be improved, the accuracy of traffic enforcement can be improved, and the effect of traffic enforcement can be improved.

Wherein weight thresholds corresponding to different vehicle types are preset.

Alternatively, the vehicle type of the target vehicle may be determined based on the identification information collected by the information collecting device, such as: the vehicle profile information acquired based on the vehicle image information or the laser radar acquired by the image acquisition device is determined, or may be determined based on vehicle identification information, such as: the license plate information is obtained by inquiring from a vehicle database, and the mode of acquiring the model of the target vehicle is not limited in the embodiment.

In actual implementation, the dynamic vehicle detection method may also be used to detect whether there is other abnormal driving behavior of the target vehicle, such as: the method comprises the steps of determining overspeed of a target vehicle based on the speed of the target vehicle, determining whether the target vehicle is in line or not based on image information collected by a camera, and determining whether the target vehicle is out of line based on vehicle outline information collected by a laser radar.

The implementation principle of the dynamic vehicle detection method provided by the embodiment comprises the following steps: acquiring weighing data of a target vehicle in a weighing area in response to the first sensing signal; determining a dynamic weight of the target vehicle based on the weighing data in response to the second sensing signal corresponding to the first sensing signal ending; determining a target correction parameter based on the number of axles of the target vehicle; correcting the dynamic weight based on the target correction parameter to obtain corrected weight; whether the target vehicle is overweight is determined based on the corrected weight. By adopting the technical scheme, the problem of poor traffic law enforcement effect caused by inaccurate vehicle weight calculation can be solved, and in the technical scheme, the target correction parameters are determined based on the axle number of the target vehicle, the dynamic weight is corrected based on the target correction parameters, and the corrected weight is obtained, so that the accuracy of the determined vehicle weight is improved, and the accuracy of the overweight judgment result obtained based on the corrected weight can be improved.

In addition, because the information of the target vehicle in the weighing area is acquired when the first sensing signal starts, and whether the target vehicle is overweight or not is determined when the second sensing signal corresponding to the first sensing signal ends, the acquisition of the information in the symmetrical weighing area can be controlled based on the first sensing signal and the second sensing signal, so that the acquired information can be matched with the vehicle, and the accuracy of the overweight judging result can be improved.

In some embodiments, referring to fig. 2, optionally, step 105, after determining whether the target vehicle is overweight based on the corrected weight, further comprises the steps of:

step 201, under the condition that the overweight of the target vehicle is determined, acquiring vehicle identification information corresponding to the target vehicle.

The identification information is used for uniquely identifying the vehicles, namely, the vehicle identification information corresponding to different vehicles is different. In one example, the identification information includes a license plate of the target vehicle.

Alternatively, the vehicle identification information corresponding to the target vehicle may be directly collected by the information collecting device, for example: the license plate recognition device can directly recognize the information or can recognize the information acquired by the information acquisition device, for example: the image information acquired by the image acquisition device is identified, and the method for acquiring the vehicle identification information corresponding to the target vehicle is not limited in this embodiment.

Further, the information collection range of the information collection device comprises a weighing area, so that the information collected by the information collection device can be conveniently matched with weighing data.

In one example, after beginning in response to the first sense signal, further comprising: and sending an information acquisition instruction to the information acquisition equipment to instruct the information acquisition equipment to acquire information.

In actual implementation, the information acquisition device may also acquire information based on instructions transmitted by other devices, or the information acquisition device may perform uninterrupted information acquisition, and the embodiment does not limit an information acquisition manner of the information acquisition device.

Step 202, generating overweight prompt information based on vehicle identification information of a target vehicle, and sending the overweight prompt information to an information output device so that the information output device can output the overweight prompt information.

Wherein, the information output device refers to: and a device capable of outputting the prompt information.

Optionally, the information output device may output the overweight prompt information through a display, a broadcast, or other modes, and this embodiment does not limit the output mode of the overweight prompt information.

In one example, the information output device includes an information board, and the outputting mode of the overweight prompt information includes displaying "license plate number" through the information board: XXXX's vehicle is suspected of being overweight).

In addition, under the condition that the overweight of the target vehicle is determined, overweight prompt information is generated based on the vehicle identification information of the target vehicle, and the overweight prompt information is sent to the information output device for the information output device to output, so that a driver of the target vehicle can be prompted to perform corresponding processing under the condition that the target vehicle is overweight.

In one example, referring to fig. 3, in the step 201, the vehicle identification information corresponding to the target vehicle is obtained, and specifically includes the following steps:

in step 301, a reference time period is determined based on a start time of the first sense signal and an end time of the second sense signal.

Step 302, determining vehicle identification information based on identification information of a weighing area acquired during a reference time period.

The first sensing signal is started when the target vehicle starts to enter the weighing area, and the second sensing signal is ended when the target vehicle completely leaves the weighing area, so that the reference time period can reflect the time period when the target vehicle passes through the weighing area.

Accordingly, the identification information of the weighing region acquired in the reference time period contains the information of the target vehicle, so that the vehicle identification information can be determined based on the identification information.

In one example, the identification information includes image information of the weighing region, and determining the vehicle identification information based on the identification information of the weighing region acquired during the reference period includes: and identifying the image information to obtain the vehicle identification information in the image information.

In actual implementation, the identification information may also include the obtained vehicle identification information directly collected by the information collecting device, and the embodiment does not limit the manner of determining the vehicle identification information based on the identification information.

In some embodiments, optionally, after the beginning of the response to the first sensing signal in step 101, the method further includes: binding the first reference information with the target vehicle.

The acquisition range of the first reference information comprises an area before the weighing area, and the acquisition time of the first reference information is positioned before the starting time of the first induction signal.

Because the vehicle passes through the weighing area before the weighing area in the running process, the acquisition time of the first reference information is positioned before the starting time of the first sensing signal, so that the first reference information can contain the information of the target vehicle.

Optionally, the acquisition area of the first reference information includes an area within a first acquisition distance range preset before the entrance position of the weighing area.

The preset first acquisition distance is set based on actual acquisition requirements.

Optionally, the acquisition time of the first reference information includes a time within a preset first acquisition duration before the start time of the first sensing signal.

The preset first acquisition time length is set based on actual acquisition requirements.

In one example, the first reference information includes data within 50 meters before the entrance of the weighing region 5 seconds before the start time of the first sensing signal.

Optionally, binding the first reference information with the target vehicle includes: binding the first reference information with coding information corresponding to the target vehicle.

The code information of the target vehicle is a unique number which is given to the target vehicle by the dynamic vehicle detection system when the target vehicle is detected, the number is used for identifying the acquired data related to the target vehicle, and the code information is irrelevant to the vehicle characteristics of the target vehicle.

In actual implementation, the mode of binding the first reference information with the target vehicle information may be to directly obtain the vehicle identification information of the target vehicle, and the mode of binding the first reference information with the vehicle identification information of the target vehicle is not limited in this embodiment.

Optionally, the first reference information includes image information collected by the image collecting device and/or laser point cloud data collected by the laser radar.

According to the technical scheme, the first reference information acquired by the area before the weighing area before the starting time of the first sensing signal is bound with the target vehicle, so that information when the target vehicle passes through the area before the weighing area can be conveniently inquired, and whether the target vehicle has abnormal driving behaviors or not can be conveniently judged based on the reference information of the target vehicle.

Optionally, step 102, after ending the second sensing signal corresponding to the first sensing signal, further includes: and binding the second reference information with the target vehicle.

The acquisition range of the second reference information comprises an area behind the weighing area, and the acquisition time of the second reference information is located behind the starting time of the second induction signal.

Because the vehicle passes through the weighing area before passing through the area after the weighing area in the driving process, the acquisition time of the second reference information is positioned after the starting time of the second sensing signal, so that the second reference information can comprise the information of the target vehicle.

Optionally, the acquisition area of the second reference information includes an area within a preset first acquisition distance range after the exit position of the weighing area.

The preset second acquisition distance is set based on actual acquisition requirements.

Optionally, the acquisition time of the second reference information includes a time after a preset second acquisition duration after the start time of the second sensing signal.

The preset second acquisition time length is set based on actual acquisition requirements.

In one example, the second reference information includes data within 50 meters after the exit of the weighing region 5 seconds before the start time of the second sensing signal.

The binding manner of the second reference information and the target vehicle is the same as that of the first reference information and the target vehicle, and this embodiment is not described herein again.

Optionally, the second reference information includes image information collected by the image collecting device and/or laser point cloud data collected by the laser radar.

In the above technical solution, since the second reference information collected in the area after the weighing area after the start time of the second sensing signal is bound with the target vehicle, it is convenient to query information when the target vehicle passes through the area after the weighing area, and thus it is convenient to determine whether the target vehicle has abnormal driving behavior based on the reference information of the target vehicle.

Further, referring to fig. 4, step 105, after determining whether the target vehicle is overweight based on the corrected weight, further includes:

in step 401, in the case where it is determined that the target vehicle is overweight, vehicle identification information of the target vehicle is acquired.

In the above step 401, the method of obtaining the identification information of the target vehicle is the same as that in step 201, and the description of this embodiment is omitted here.

Step 402, generating an overweight record based on the corrected weight, the first reference information, the second reference information, the vehicle identification information, and/or the identification information corresponding to the target vehicle.

Optionally, the identification information corresponding to the target vehicle includes identification information of the weighing area acquired within a period from a start time of the first sensing signal to an end time of the second sensing signal.

In one example, an overweight record is generated based on the corrected weight, the first reference information, the second reference information, the vehicle identification information, and the identification information corresponding to the target vehicle.

In actual implementation, the overweight record may further include information such as a speed, a vehicle type, and/or an axle number of the target vehicle, and the embodiment does not limit what the overweight record actually includes.

In some embodiments, referring to fig. 5, step 103, determining the target correction parameter based on the number of axles of the target vehicle specifically includes the steps of:

step 501, the speed of a target vehicle is obtained.

Optionally, the speed of the target vehicle may be directly acquired by a device with a speed acquisition function (such as a speed measuring radar), or may be calculated based on information acquired by an information acquisition device (such as calculated based on position information of the target vehicle acquired by a laser radar at different moments), which is not limited by the speed acquisition mode of the target vehicle in this embodiment.

In one example, the speed of the target vehicle is the speed of the target vehicle as it passes through the weighing region, such that the speed of the target vehicle may be matched to the weighing data.

In one example, obtaining a speed of a target vehicle includes: the speed of the target vehicle is determined based on the distance between the entrance position and the exit position of the weighing region and the time difference between the start time of the first sensor signal and the start time of the second sensor signal.

Step 502, determining a target correction parameter based on the number of axles and the speed of the target vehicle.

In one example, determining the target correction parameter based on the number of axles and the speed of the target vehicle includes: and inquiring target correction parameters corresponding to the axle number and the speed of the target vehicle in a preset corresponding relation table.

The corresponding relation table is stored in the control device in advance, and the corresponding relation table stores reference correction parameters corresponding to the reference shaft number and the reference speed.

Optionally, the reference correction parameters under the preset axle number and the preset speed are obtained by calibrating the truck scale under different speeds by using vehicles with different axle numbers. For example: and driving the vehicles with different axle numbers through the truck scale at different reference vehicle speeds, calculating the dynamic weight of the vehicle based on weighing data acquired by the truck scale, and determining the ratio of the actual weight of the vehicle to the dynamic weight as the axle number of the vehicle and the correction parameters at the reference speed.

In one example, a preset correction reference having the same reference axis number as the axis number of the target vehicle and having the smallest difference between the reference speed and the speed of the target vehicle in a preset correspondence table is determined as the target correction parameter.

In some embodiments, optionally, referring to fig. 6, step 502, determining the target correction parameter based on the number of axles and the speed of the target vehicle, specifically includes the steps of:

step 601, determining a second mapping rule corresponding to the number of axles of the target vehicle.

Wherein, the second mapping rule corresponding to the number of axes is preset. In one example, the second mapping rule corresponding to the number of axles is obtained by calibrating the truck scale at different speeds using vehicles of the corresponding number of axles. For example: and driving the vehicle with a certain axle number through the truck scale at different reference speeds, determining the ratio of the dynamic weight indicated by the weighing data of the truck scale under the reference speeds to the actual weight of the truck as a correction parameter corresponding to the reference speed, and finally obtaining the correction parameters corresponding to different reference speeds under the axle number, namely a second mapping rule corresponding to the axle number.

In one example, the second mapping rule includes a reference speed and a reference correction parameter corresponding to the reference speed.

In actual implementation, the second mapping rule may be a corresponding relation between the speed and the correction parameter obtained by performing mathematical analysis on the correction parameters corresponding to different speeds in the test process, and the embodiment does not limit the representation mode of the second mapping rule.

In step 602, a target correction parameter is determined based on the second mapping rule and the speed of the target vehicle.

Accordingly, determining the target correction parameter based on the second mapping rule and the speed of the target vehicle includes: determining whether a target reference speed identical to a speed of the target vehicle exists in the respective reference speeds; if the target reference speed exists, determining a reference correction parameter corresponding to the target reference speed as a target correction parameter; if the target speed interval does not exist, determining a reference speed interval to which the speed of the target vehicle belongs from at least two preset speed intervals, and determining a target correction parameter based on the reference speed corresponding to the reference speed interval and the speed of the target vehicle.

The speed interval is obtained by dividing the weight measurement range of the truck scale by using the reference speed. Such as: the reference speeds include 10, 30, 40, 60, 120, and the speed intervals include 10-30, 30-40, 40-60, and 60-120.

The inventors found that the speed and the correction parameter are linearly related in a certain range in the research process, so that the relation between the speed of the target vehicle and the target correction parameter can be estimated based on the following formula:

Wherein, the liquid crystal display device comprises a liquid crystal display device,correcting parameters for the target; />A reference correction parameter corresponding to a lower limit reference speed of the reference speed interval; />A reference correction parameter corresponding to the upper limit reference speed of the reference speed interval; />Is the speed of the target vehicle; />A lower reference speed that is a reference speed interval; />Is the upper reference speed corresponding to the reference speed interval.

Accordingly, a target correction parameter is determined based on the reference speed corresponding to the reference speed section and the speed of the target vehicle, which is expressed by the following formula:

In other examples, when it is determined that the target reference speed identical to the speed of the target vehicle does not exist in the respective preset reference speeds, the reference correction parameter corresponding to the reference speed with the smallest speed difference of the target vehicle may be directly determined as the target correction parameter, which may help to reduce the calculation amount in the determination process of the target correction parameter, and may also improve the determination calculation speed of the target correction reference.

In actual implementation, when the mapping rule is a correspondence between the speed and the correction parameter, the target correction parameter may be determined directly based on the correspondence, and the method for determining the target correction parameter is not limited in this embodiment.

In some embodiments, optionally, referring to fig. 7, step 501, obtaining the speed of the target vehicle specifically includes the following steps:

step 701, acquiring first sensing data of a first position and second sensing data of a second position in a weighing area.

The first position and the second position are arranged along the vehicle driving-in direction of the weighing area.

Because the first position and the second position are arranged along the vehicle entrance direction of the weighing area, the vehicle can pass through the first position and the second position in sequence in the process of passing through the weighing area.

In one example, a truck scale is arranged in a weighing area, a first weighing sensor of the truck scale is arranged at a first position of the weighing area, the first weighing sensor is used for collecting first sensing data, a second weighing sensor of the truck scale is arranged at a second position, and the second weighing sensor is used for collecting second sensing data, so that the first sensing data and the second sensing data can be accurately collected.

In actual implementation, the first sensing data and the second sensing data may also be collected by other sensors besides the weighing sensor, for example: the first sensing data and the second sensing data are collected by the infrared detection sensor, and at this time, the first sensing data and the second sensing data are infrared sensing signals, and the type of the collecting device of the first sensing data and the second sensing data is not limited in this embodiment.

Step 702, determining a speed of the target vehicle based on the change in the first sensed data, the change in the second sensed data, and the separation distance between the first location and the second location.

Because in the process that the target vehicle passes through the weighing area, the target vehicle can firstly approach the position and then be far away from the position, in the process, the sensing data of the position can be firstly increased and then reduced, and the time of the maximum sensing data corresponding to the position is the time of the axle of the target vehicle passing through the position, so that the time of the axle of the target vehicle passing through the position can be determined based on the change condition of the sensing data of the position in the weighing area.

The first time when the axle of the target vehicle passes through the first position can be determined based on the change condition of the first sensing data, and the first time when the axle of the target vehicle passes through the second position can be determined based on the change condition of the second sensing data.

In one example, determining the speed of the target vehicle based on the change in the first sensed data, the change in the second sensed data, and the separation distance between the first location and the second location includes: determining a time corresponding to the peak position of the first sensing data as a first time; determining the time corresponding to the peak position which is positioned behind the first time and closest to the first time in the second sensing data as second time; determining an interval duration between the first time and the second time; the ratio of the separation distance to the separation duration is determined as the speed of the target vehicle.

Further, determining, as the second time, a time corresponding to a peak position, which is located after the second time and is closest to the first time, in the second sensing data, includes: and determining the time corresponding to the unused peak position which is positioned behind the second time and closest to the first time in the second sensing data as the second time, and marking the peak position as the used peak position. Therefore, the problem of error in determining the second time caused by repeated use of the peaks in the second sensing data under the condition that the distance between the wheels of different rows of the vehicle is smaller than the interval distance can be solved, and the fact that the used peaks are marked as used peaks can be solved, so that repeated use of the peaks can be avoided, and accuracy of the determined second time can be improved.

In practical implementation, the two rows of wheels of the vehicle can be avoided from being located between the first position and the second position at the same time by reasonably setting the spacing distance, for example: the separation distance is smaller than the wheelbase of the vehicle, which may also help to avoid that peaks in the second sensor data are reused.

In addition, since the first position and the second position are located in the weighing area, the speed determined based on the change condition of the first sensing data, the change condition of the second sensing data and the interval distance is the speed of the target vehicle passing through the road section between the first position and the second position, namely the speed of the target vehicle passing through the weighing area, the determined speed is the actual speed of the target vehicle in the dynamic weighing process, and therefore accuracy of the target correction parameters determined based on the speed and the wheelbase of the target vehicle can be improved.

The embodiment of the application also provides a dynamic vehicle detection system which is applied to the off-site traffic law enforcement overrun detection system. Referring to fig. 8, the dynamic vehicle detection system includes: control device 810, truck scale 820, first vehicle sensing assembly 830, second vehicle sensing assembly 840, and information collecting device 850.

Wherein the control device 810 is in signal connection with the truck scale 820, the first vehicle sensing assembly 830, the second vehicle sensing assembly 840, and the information collecting device 850, respectively.

Optionally, the truck scale 820, the first vehicle sensing assembly 830, the second vehicle sensing assembly 840, and the information collecting device 850 correspond to different weighing zones. In actual implementation, the control device 810 may interact with the corresponding truck scale 820, first vehicle sensing assembly 830, second vehicle sensing assembly 840, and information collecting device 850 of multiple weighing zones, such that dynamic detection of vehicles within multiple weighing zones may be accomplished simultaneously.

The control device 810 is a device having a calculation function. Specifically, the control device 810 may be an industrial personal computer, a microcomputer, a microcontroller, or the like, so long as the corresponding computing operation can be performed, and the type of the control device 810 is not limited in this embodiment.

In this embodiment, the control device 810 is configured to perform the dynamic vehicle detection method provided in the above-described dynamic vehicle detection method part embodiment.

Optionally, the control device 810 may send the acquired information and/or the data obtained by processing to the current storage device and/or the cloud device in a preset manner, so that the data and the detection result in the detection process may be conveniently saved.

In one example, the control device 810 is an industrial personal computer, which is disposed in a control cabinet on one side of the roadway. Further, monitoring equipment, a gateway and an uninterruptible power supply (Uninterruptible Power Supply, UPS) are further arranged in the control cabinet, the industrial personal computer is connected with the video acquisition assembly through detection equipment in a signal mode, data are sent to the cloud through the gateway, and the uninterruptible power supply is used for supplying power to equipment in the control cabinet.

The truck scale 820 is disposed within the weighing zone for collecting weighing data of the vehicle within the weighing zone. In one example, the truck scale 820 is a shaft-weight truck scale.

In one example, the weighing area includes a sensing area component area of two truck scales 820 disposed side-by-side within the same lane.

Optionally, the main part of truck scale is disposed below the road, and the weighing surface and the lane of truck scale are on a plane, so the vehicle can not produce violent jolting in the in-process of passing through the weighing area, and then can ensure the accuracy of weighing result.

Optionally, the truck scale 820 comprises at least one load cell.

In one example, the load cell is a strain gauge load cell.

In one example, the strain gauge load sensor has a range of 10 tons, an accuracy rating of C3, 2 strain gauges, and an operating temperature of-20 ℃ to 60 ℃; the structure is a bridge type structure.

In practical implementation, the weighing sensor is also implemented in other ways, as long as weighing data can be collected, and the type of the asymmetric weighing sensor in this embodiment is limited.

The first vehicle sensing assembly 830 is configured to sense a moving vehicle at an entrance position of a weighing area and transmit a first sensing signal to the control device 810.

The second vehicle sensing assembly 840 senses a moving vehicle at an exit location of the weighted area and transmits a second sensing signal to the control device 810.

In one example, first vehicle sensing assembly 830 is used with second vehicle sensing assembly 840, first vehicle sensing assembly 830 being the same type as second vehicle sensing assembly 840.

In one example, the first vehicle induction assembly 830 includes a first induction coil and the second vehicle induction assembly 840 includes a second induction coil. The first induction coil is arranged below the ground at the entrance position of the weighing area, and the second induction coil is arranged below the ground at the exit position of the weighing area.

In actual implementation, the first vehicle sensing assembly 830 and the second vehicle sensing assembly 840 can also be other sensing devices, such as: lidar, ultrasonic radar, vehicle detectors, etc., the present embodiment is not limited to the type of first vehicle sensing assembly 830 and second vehicle sensing assembly 840.

The information collecting device 850 is used for collecting identification information in the weighing area and transmitting the identification information to the control device 810. Specifically, the information acquisition device 850 may be an image acquisition device, such as: the camera may be either a laser radar or an ultrasonic radar as long as information for identifying the vehicle can be acquired, and the type of the information acquisition device 850 is not limited in this embodiment.

In one example, information acquisition device 850 includes a camera and a lidar. The camera is used for acquiring information such as license plate numbers, license plate colors, vehicle colors and/or vehicle types of the vehicles, and the laser radar is used for acquiring information such as speeds of target vehicles, vehicle outlines and/or vehicle types.

Alternatively, the number of information collecting devices 850 may be one or two or more, and in the case where the number of information collecting devices 850 is two or more, the types or setting positions of different information collecting devices 850 are different.

In one example, the set-up location of information-gathering device 850 includes above the weighing zone. In actual implementation, the device position of the information collecting device 850 may also include a position before the weighing area and/or a position after the weighing area, as long as the identification information in the weighing area can be collected, and the setting position of the information collecting device 850 is not limited in this embodiment.

Optionally, the information acquisition device 850 is further configured to acquire information within a preset range before the weighing area and/or information within a preset range after the weighing area, so as to facilitate acquiring the first reference information and the second reference information of the target vehicle.

In one example, the information collection range of information collection device 850 includes an area within a preset first collection distance before the weighing area entrance location and an area within a preset second collection distance after the weighing area exit location.

In actual implementation, the first reference information and the second reference information of the target vehicle may also be acquired by an auxiliary acquisition device that is separately provided, and the embodiment does not limit the acquisition devices of the first reference information and the second reference information.

In one example, the dynamic vehicle detection system further includes an information output device in signal connection with the control device 810 for outputting the alert information.

Alternatively, the information output device may be a device capable of outputting information, such as an information board, a speaker, an alarm device, or the like.

Optionally, the information output device is arranged in a preset range behind the weighing area, so that a driver of the vehicle can conveniently check overweight prompt information output by the information output device.

In some embodiments, referring to fig. 9, the truck scale 820 optionally includes a first load cell 821 disposed at a first location and a second load cell 822 disposed at a second location, the first and second locations being distributed along the vehicle entrance direction of the truck scale 820.

The first position is the same as the first position in the dynamic vehicle detection method, and the second position is the same as the second position in the dynamic vehicle detection method.

A first load cell 821 for acquiring first sensing data of a first location.

A second load cell 822 for acquiring second sensor data for a second location.

In one example, the first location is proximate to a vehicle entrance location of the truck scale 820 and the second location is proximate to a vehicle exit location of the truck scale 820. Further, the first and second positions are the same distance from the geometric center of the truck scale 820.

In one example, the truck scale 820 further comprises a third load cell for acquiring third sensory data. In the process of calibrating the truck scale 820, the third weighing sensor is independently calibrated, so that weighing data can be determined based on the third sensing data, and therefore separation of speed measurement and weighing functions of the truck scale 820 can be achieved, and the setting positions of different weighing sensors can be determined reasonably.

In actual implementation, the weighing data may be determined based on the first sensing data and/or the second sensing data, and the determination manner of the asymmetric weighing data in this embodiment is limited.

In the above technical solution, since the first position and the second position are distributed along the vehicle entrance direction of the truck scale 820, the vehicle passes through the first load cell 821 and the second load cell 822 in succession during the process of driving the vehicle through the weighing area, so that the speed of the target vehicle can be determined based on the change condition of the weighing data collected by the first load cell 821, the change condition of the weighing data collected by the second load cell 822, and the interval distance between the first position and the second position.

Further, the truck scale 820 includes two weighing modules, and the weighing modules are arranged along the direction perpendicular to the vehicle driving direction of the truck scale 820, and the first position and the second position are located in the weighing modules, namely, each weighing module includes a first weighing sensor 821 arranged in the first position and a second weighing sensor 822 arranged in the second position, so that weighing data collected by the first weighing sensor 821 and the second weighing sensor 822 on each weighing module can be mutually verified, and accuracy of the determined first sensing data and second sensing data can be improved.

It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein.

The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations should and are intended to be comprehended within the scope of the present application.

Claims

1. A dynamic vehicle detection method for use in a control device, the method comprising:

2. The method of claim 1, wherein after determining whether the target vehicle is overweight based on the corrected weight, further comprising:

3. The method according to claim 2, wherein the obtaining the vehicle identification information corresponding to the target vehicle includes:

4. The method of claim 1, wherein after the beginning of the response to the first sense signal, further comprising:

5. The method of claim 4, wherein after determining whether the target vehicle is overweight based on the corrected weight, further comprising:

6. The method of claim 1, wherein the determining a target correction parameter based on the number of axles of the target vehicle comprises:

Acquiring the speed of the target vehicle;

7. The method of claim 6, wherein the obtaining the speed of the target vehicle comprises:

8. The method of claim 6, wherein the determining the target correction parameter based on the number of axles and the speed of the target vehicle comprises:

9. A dynamic vehicle detection system, characterized in that the dynamic vehicle detection system comprises a control device (810), at least one truck scale (820) in signal connection with the control device (810), a first vehicle sensing assembly (830), a second vehicle sensing assembly (840) and an information acquisition device (850);

The truck scale (820) is arranged in a weighing area and is used for collecting weighing data of vehicles in the weighing area;

-said first vehicle sensing assembly (830) is adapted to sense a moving vehicle at an entrance position of said weighing area and to transmit a first sensing signal to said control device (810);

-said second vehicle sensing assembly (840) is adapted to sense a moving vehicle at an exit position of said weighing area and to transmit a second sensing signal to said control device (810);

the information acquisition device (850) is used for acquiring identification information in the weighing area and transmitting the identification information to the control device (810);

the control device (810) is configured to perform the dynamic weighing method of any one of claims 1 to 8.

10. The system of claim 9, wherein the truck scale (820) comprises a first load cell (821) disposed at a first location and a second load cell (822) disposed at a second location, the first location and the second location being distributed along a vehicle entrance direction of the truck scale (820).