A highway management equipment interaction system and method based on over-limit control of freight trucks

Abstract

The present invention relates to the technical field of highway management, and specifically relates to an interactive system and method for highway management equipment based on over-limit truck governance, including a capture layer, a monitoring layer, a tracking layer and highway management equipment; over-limit trucks are determined through the capture layer, and the capture layer synchronously captures characteristic parameters of the trucks determined to be over-limit. The monitoring layer obtains the truck characteristic parameters in real time and distributes the truck characteristic parameters to the highway management equipment. When the target highway management equipment receives the truck characteristic parameters, it further stores the truck characteristic parameters. The tracking layer tracks and intercepts the trucks based on the truck characteristic parameters stored by the highway management equipment; through the linkage interaction of the highway management equipment, the present invention monitors and tracks trucks with over-limit or suspected over-limit, effectively reducing the labor cost invested in highway over-limit governance and making highway over-limit governance more intelligent and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of highway management, and particularly relates to an interactive system and method for highway management equipment based on overloading control of trucks. Background Art

[0002] Highway management equipment for overloading control of trucks is an important tool for ensuring road safety and maintaining traffic order. It includes high-precision weighing sensors, intelligent monitoring cameras, data analysis systems, etc. It can accurately detect the load of trucks, capture illegal behaviors in real time, and quickly analyze data, providing reliable evidence for law enforcement and effectively curbing the phenomenon of overloading of trucks. For example, in some important sections, these devices have successfully reduced traffic accidents caused by overloading.

[0003] The invention patent with the application number 202310681027.0 discloses a truck over-limit detection system, including a license plate recognition device, a dynamic weighing device, a vehicle length and height detection device, an axle detection device, an axle detection camera cleaning device, an information display device, a warning device, a broadcast system and a control center; the license plate recognition device is used to recognize the front and rear license plates of the vehicle, including a front license plate recognition camera, a license plate display screen, and a rear license plate recognition camera; the dynamic weighing device is used to detect the weight of the vehicle, and a quartz dynamic weighing sensor is arranged inside; the vehicle length and height detection device is used to detect the length and height of the vehicle, including an inverted L-shaped monitoring rod, a laser sensor, an L-shaped monitoring rod, a laser sensor, an inverted L-shaped monitoring rod, a laser sensor; the axle detection device is used to detect the axle type and distribution of the vehicle, including an axle detection camera, a photoelectric sensor L-shaped monitoring rod; a vehicle information display screen is arranged at the rearmost part of the detection system, and the vehicle information display screen is used to display the basic information of the detected vehicle and the detection result; the axle detection camera cleaning device is used to clean the camera for axle detection, including a small wiper, an axle camera protection device and a small water gun; the control center is used to store the PP-YOLOE model for detecting the axle type and distribution and various data of the detected vehicle and compare them with national standards, the power supply module provides voltage for each device, the information display device is used to display the information of the current vehicle, and the warning device and the broadcast system are used to determine the warning after the vehicle is over-limit.

[0004] This application aims to solve the problem that "at present, the main method for governing over-limit of trucks on highways is that before the trucks enter the highway toll station, they first enter the over-limit detection station and cooperate with national law enforcement officers for vehicle detection, which requires a large amount of manpower and low efficiency. Due to the long detection time, it is extremely easy to cause vehicle congestion, and due to the need for manual participation, it is impossible to ensure all-day governance of over-limit".

[0005] However, most of the highway management equipment for overloading control of freight trucks only has simple interaction conditions, that is: if a freight truck is overloaded, the highway barrier will prohibit passage, etc. Due to the influence of external factors on the overloading detection equipment of freight trucks, it is difficult to make an accurate judgment on a freight truck approaching the overloading judgment value at one time. Therefore, before the freight truck leaves the overloading control section, it needs to perform at least one more overloading judgment, so as to finally make a judgment on whether the freight truck is overloaded;

[0006] Currently, based on the above scenario, before a freight truck leaves the overloading control section, during the driving process on the overloading control section, some freight trucks may use means such as vehicle body camouflage and license plate replacement, resulting in the inability to be tracked by the highway management equipment before the freight truck leaves the overloading control section, and finally avoiding the secondary overloading judgment in this way. Summary of the Invention

[0007] Aiming at the above-mentioned disadvantages of the prior art, the present invention provides an interactive system and method for highway management equipment based on overloading control of freight trucks, and solves the technical problems proposed in the above background technology.

[0008] To achieve the above objectives, the present invention is realized through the following technical solutions:

[0009] In the first aspect, an interactive system for highway management equipment based on overloading control of freight trucks includes a capture layer, a monitoring layer, a tracking layer and highway management equipment;

[0010] The highway management equipment includes: dynamic weighing equipment, width and height limit equipment, monitoring cameras and barriers. The dynamic weighing equipment, width and height limit equipment, monitoring cameras and barriers are deployed at the entrance and exit positions of the highway section served by the system. The monitoring cameras are evenly distributed on both sides of the highway section served by the system;

[0011] Overloaded freight trucks are judged by the capture layer. The capture layer synchronously captures the characteristic parameters of the freight trucks judged to be overloaded. The monitoring layer obtains the freight truck characteristic parameters in real time and distributes the freight truck characteristic parameters to the highway management equipment. When the target highway management equipment receives the freight truck characteristic parameters, it further stores the freight truck characteristic parameters. The tracking layer tracks and intercepts the freight truck based on the freight truck characteristic parameters stored by the highway management equipment;

[0012] The monitoring layer includes a distribution module, a construction module, and a reduction module. The construction module is used to upload the distribution information of the highway section served by the system, construct a highway topology model based on the highway section distribution information, and mark the deployment positions of the highway management equipment on the highway topology model. The distribution module is used to receive the freight truck characteristic parameters captured by the capture layer and distribute the freight truck characteristic parameters to each highway management equipment. The freight truck characteristic parameters are stored by the highway management equipment. The reduction module is used to monitor the highway management equipment that first matches the freight truck characteristic parameters, and perform a reduction operation with the highway management equipment other than the subordinate highway management equipment of the highway management equipment that monitors the freight truck characteristic parameters as the reduction target;

[0013] When the distribution module performs the distribution of truck characteristic parameters, the truck characteristic parameter distribution operation is subject to:

[0014]

[0015] where: ε is the priority of the distribution target highway management device; m is the set of highway management devices on the adjacent sections of the section where the highway management device α is located at the highway section entrance and exit position; d(α,j) is the path distance between the jth group of highway management devices and the highway management device α at the highway section entrance and exit position; down(M) j is the total number of road intersections on the section where the jth group of highway management devices is located based on the forward direction of the truck; up(M) j is the total number of road intersections on the section where the jth group of highway management devices is located based on the approaching direction of the truck;

[0016] Among them, based on the priority ε of the distribution target highway management device, a highway management device distribution queue is created, and it is identified whether each adjacent highway management device in the highway management device distribution queue comes from the same section. When the identification result is yes, any one of the two adjacent groups of highway management devices is swapped with its other adjacent highway management device until each adjacent highway management device in the highway management device distribution queue does not come from the same section. The finally obtained highway management device distribution queue is applied to the priority distribution of truck characteristic parameters.

[0017] Furthermore, the capture layer includes a determination module, a capture module, and a transmission module. The determination module is used to determine whether the truck entering the highway is over-limit. The capture module is used to receive the current determination result of the determination module. When the determination result is yes, the capture operation of the characteristic parameters of the truck entering the highway is performed. The transmission module is used to receive the truck characteristic parameters captured by the capture module, pack the truck characteristic parameters and transmit them to the monitoring layer;

[0018] Among them, the determination module is integrated by a dynamic weighing device and a width and height limit device. The truck over-limit determination content includes: weight over-limit and size over-limit. The truck over-limit determination is completed by any one or two of the dynamic weighing device and the width and height limit device when the truck enters the highway entrance and exit. The capture module is integrated by a dynamic weighing device, a width and height limit device, and a monitoring camera. The truck characteristic parameters captured by the capture module include: truck weight, truck width and height, and truck appearance image.

[0019] Further, the determination module is provided with two sets of determination values based on overweight and oversize in the truck over-limit determination content. The determination values are denoted as the first overweight determination value, the second overweight determination value, the first oversize determination value, and the second oversize determination value. The first determination value is smaller than the second determination value. When the determination module determines whether a truck driving into the road is over-limit, it captures the truck weight and the truck width and height of the truck with a dynamic weighing device and a width and height limit device, and compares the truck weight and the truck width and height with the determination values. When either or both of the truck weight and the truck width and height are greater than the first determination value and smaller than the second determination value, the truck is determined to be over-limit, that is, it is determined to be over-limit. On the contrary, the truck is determined to be not over-limit, that is, it is determined to be not over-limit. When either or both of the truck weight and the truck width and height are greater than the second determination value, the truck is determined to be a vehicle prohibited from driving in.

[0020] Further, before packing the truck characteristic parameters, the transmission module synchronously picks up the truck appearance image from the truck characteristic parameters and performs license plate number and key feature area recognition on the picked-up truck appearance image;

[0021] When recognizing the license plate number, the license plate area image is extracted from the truck appearance image based on the license plate color, and further character recognition operation is performed on the license plate area image to obtain the truck license plate number;

[0022] The key feature area is the area image defined by the truck windshield in the truck appearance image. When recognizing the key feature area, the pixel gradient of each pixel in the truck appearance image is calculated based on the Sobel operator, an image contour determination value is set, the image contour pixels are determined based on the comparison between each pixel gradient and the image contour determination value, the image contour is determined through the image contour pixels, and further the truck appearance image is segmented based on the image contour to obtain several groups of image blocks, and the image blocks representing the key feature area are picked up from the several groups of image blocks;

[0023] Among them, the license plate number and the key feature area recognized in the truck appearance image are synchronously processed by the transmission module with the truck characteristic parameters.

[0024] Further, the key feature area recognition logic is expressed as:

[0025]

[0026] In the formula: θ(a) is the determination value of whether the image block a is a suspected key feature area; SIMM shape (MAX) is the highest similarity of the image block calculated based on the outer contour of the image to a rectangular, trapezoidal or parallel suspected key feature area; f a(·) is the decision function; D is the sum of the perpendicular distances from each corner point on the outer contour of the image block to the image edge in the advancing direction of the truck in the truck appearance image where the image block is located; n is the set of corner points on the outer contour of the image block; l i is the perpendicular distance from the i-th group of corner points to the image edge in the advancing direction of the truck in the truck appearance image where the image block is located;

[0027] Among them, the decision function f a (·) takes a value of 0 or 1. When SIMM shape (MAX) ≥ 90%, the decision function f a (·) = 1. Conversely, the decision function f a (·) = 0. When the decision value θ(a) of whether the image block a is a suspected key feature area is 1, the corresponding calculated target image block is determined to be yes. Conversely, the corresponding calculated target image block is determined to be no. For the image block determined to be yes, D is further obtained based on Equation (2). The capture module takes the group of image blocks with the smallest D value as the key feature area recognition result;

[0028] Among the license plate number and the key feature area transmitted by the transmission module and the truck feature parameters, the key feature area and the truck appearance image are both converted into grayscale images before transmission, and then the transmission operation is performed.

[0029] Furthermore, the distribution module continuously executes. Taking each highway management device in the highway management device distribution queue obtained from the previous run as the α applied in the priority stage of obtaining the distribution target highway management device in the next run until all highway management devices are in the highway management device distribution queue, the distribution module performs the distribution operation of the truck feature parameters;

[0030] The system service highway section distribution information uploaded in the construction module is the position information of both ends of each section of the highway in the system service highway section. The highway topology model is constructed based on the connection of the position information of both ends of each section of the highway;

[0031] The elimination operation performed by the elimination module is the operation of deleting the truck feature parameters stored in the highway management device. The elimination target determined in the elimination module is: the highway management devices other than all the subordinate highway management devices of the highway management device that first matches the truck feature parameters, but does not include all the superior highway management devices of the highway management device that first matches the truck feature parameters. The superior and subordinate of the highway management device are determined based on the driving direction of the truck on the highway. The advancing direction is the subordinate, and the approaching direction is the superior;

[0032] The construction module, distribution module, and reduction module all operate on highway management devices, which are surveillance cameras. The operation of the reduction module to monitor the highway management device that first matches the truck feature parameters means any surveillance camera that captures an overall similarity of no less than 95% with the truck appearance image and key feature areas or has the same license plate number.

[0033] Furthermore, the tracking layer includes a receiving module and an interception module. The receiving module is used to receive the truck feature parameters captured in real-time by highway management devices other than the reduction targets determined by the reduction module, and pick up the truck movement path in the highway topology model based on the highway management device where the truck feature parameters come from. The interception module is used to obtain the truck movement path picked up in the receiving module, determine the highway management device at the end of the truck movement path based on the truck movement path, and intercept the truck based on the determined terminal highway management device.

[0034] Among them, the truck feature parameters received by the receiving module are the truck appearance image, key feature areas, and license plate number. The source of the truck feature parameters is the surveillance camera in the highway management device. The truck movement path picked up by the receiving module in the highway topology model is the path in the highway topology model where all the sources of the truck feature parameters are highway management devices.

[0035] Furthermore, the interception module determines that the highway management devices at the end of the truck movement path are surveillance cameras and gate barriers. When the surveillance camera in the highway management device at the end of the truck movement path captures a truck appearance image with an overall similarity of no less than 95% with the truck appearance image and key feature areas or has the same license plate number, the gate barrier in the highway management device at the end of the truck movement path is linked and closed.

[0036] Furthermore, the distribution module is wirelessly interconnected with the construction module and the reduction module. The distribution module is wirelessly interconnected with the transmission module. The transmission module is wirelessly interconnected with the determination module and the capture module. The reduction module is wirelessly interconnected with the receiving module. The receiving module is wirelessly interconnected with the interception module.

[0037] In a second aspect, a method for interacting highway management devices based on truck overload control includes:

[0038] S1: Determine whether the trucks entering the highway section served by the system are overloaded according to the highway management devices.

[0039] S2: Capture the feature parameters of overloaded trucks, set the distribution logic, and distribute the feature parameters of overloaded trucks to the highway management devices deployed on the highway section served by the system in real-time.

[0040] S3: The highway management devices deployed on the highway sections of the system service operate in real time. After receiving the characteristic parameters of over-limit trucks, using the characteristic parameters of over-limit trucks as the matching target, the captured truck appearance images are matched with the characteristic parameters of over-limit trucks in real time;

[0041] S4: Upload the distribution information of the highway sections of the system service, construct a highway topology model, determine the reduction target of the highway management device based on the highway topology model and the highway management device that first matches the characteristic parameters of over-limit trucks, and perform a reduction operation on the reduction target of the highway management device;

[0042] S5: Use the highway management devices that have not performed the reduction operation to capture the characteristic parameters of over-limit trucks in real time, and pick up the truck movement path in the highway topology model based on the highway management device where the characteristic parameters of over-limit trucks come from;

[0043] S6: Determine the highway management device at the path terminal according to the picked-up truck movement path, and intercept the over-limit truck through the determined highway management device at the path terminal.

[0044] Adopting the technical solution provided by the present invention, compared with the known public technologies, it has the following beneficial effects:

[0045] The present invention provides a highway management device interaction system based on truck over-limit governance. During the operation of this system, through the linkage interaction of highway management devices, it monitors and tracks trucks with over-limit and suspected over-limit conditions, effectively reducing the labor cost input for highway over-limit governance, making highway over-limit governance more intelligent and reliable. At the same time, during the operation of this system, by combining the capture of various truck characteristic parameters, it can effectively prevent the problem that trucks evade secondary over-limit detection through methods such as vehicle body camouflage and license plate swapping, ensuring the actual benefits of highway over-limit governance, maintaining highway traffic safety, and at the same time avoiding additional damage to the highway caused by overweight problems;

[0046] In addition, it also provides a highway management device interaction method based on truck over-limit governance. Based on the execution of the steps in this method, the above-mentioned system operation logic is further provided to ensure that the technical solution composed of the above-mentioned system and method better serves the over-limit governance highway sections during the specific implementation stage. Brief Description of the Drawings

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following-described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0048] Figure 1It is a schematic structural diagram of a highway management equipment interaction system based on over-limit control of freight vehicles;

[0049] Figure 2 It is a schematic flow diagram of a highway management equipment interaction method based on over-limit control of freight vehicles;

[0050] Figure 3 It is an example diagram of a highway management equipment collecting the appearance image of a freight vehicle;

[0051] Figure 4 In the present invention, the system uses Figure 3 the appearance image of the freight vehicle in it as the schematic diagram of the key feature area recognized as the processing target;

[0052] The labels in the figure respectively represent: 1. The edge of the appearance image of the freight vehicle; 2. The key feature area. Detailed implementation manners

[0053] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0054] The present invention will be further described below with reference to the embodiments.

[0055] Embodiment 1:

[0056] A highway management equipment interaction system based on over-limit control of freight vehicles in this embodiment, as Figure 1 shown, includes a capture layer, a monitoring layer, a tracking layer, and highway management equipment;

[0057] The highway management equipment includes: a dynamic weighing device, a width and height limiting device, a monitoring camera, and a barrier gate. The dynamic weighing device, the width and height limiting device, the monitoring camera, and the barrier gate are deployed at the entrance and exit positions of the highway section served by the system. The monitoring cameras are evenly distributed on both sides of the highway section served by the system;

[0058] Over-limit freight vehicles are determined by the capture layer. The capture layer synchronously captures the characteristic parameters of the freight vehicles determined to be over-limit. The monitoring layer obtains the freight vehicle characteristic parameters in real time and distributes the freight vehicle characteristic parameters to the highway management equipment. When the target highway management equipment receives the freight vehicle characteristic parameters, it further stores the freight vehicle characteristic parameters. The tracking layer tracks and intercepts the freight vehicle based on the freight vehicle characteristic parameters stored by the highway management equipment;

[0059] The capture layer includes a determination module, a capture module, and a transmission module. The determination module is used to determine whether a truck entering the road is overweight. The capture module is used to receive the current determination result of the determination module. When the determination result is yes, it performs an operation to capture the characteristic parameters of the truck entering the road. The transmission module is used to receive the truck characteristic parameters captured by the capture module, package the truck characteristic parameters and transmit them to the monitoring layer;

[0060] Among them, the determination module is integrated by a dynamic weighing device and a width and height limit device. The content of truck overweight determination includes: weight overweight and size overweight. The truck overweight determination is completed by any one or two of the dynamic weighing device and the width and height limit device when the truck enters the road entrance and exit. The capture module is integrated by a dynamic weighing device, a width and height limit device, and a monitoring camera. The truck characteristic parameters captured by the capture module include: truck weight, truck width and height, and truck appearance image;

[0061] The monitoring layer includes a distribution module, a construction module, and a reduction module. The construction module is used to upload the distribution information of the system service road sections, construct a road topology model based on the road section distribution information, and mark the deployment positions of road management devices on the road topology model. The distribution module is used to receive the truck characteristic parameters captured by the capture layer, distribute the truck characteristic parameters to each road management device, and store the truck characteristic parameters through the road management device. The reduction module is used to monitor the road management device that first matches the truck characteristic parameters, and perform a reduction operation with the road management devices other than the subordinate road management devices of the road management device that has monitored the truck characteristic parameters as the reduction target;

[0062] When the distribution module performs the distribution operation of the truck characteristic parameters, the truck characteristic parameter distribution operation follows:

[0063]

[0064] In the formula: ε is the priority of the distribution target road management device; m is the set of road management devices on the adjacent road sections of the road management device α at the road section entrance and exit position; d(α,j) is the path distance between the jth group of road management devices and the road management device α at the road section entrance and exit position; down(M) j is the total number of road forks on the road section where the jth group of road management devices is located based on the forward direction of the truck; up(M) j is the total number of road forks on the road section where the jth group of road management devices is located based on the approaching direction of the truck;

[0065] Among them, based on the priority ε of the distributed target highway management equipment, a highway management equipment distribution queue is created, and it is identified whether each adjacent highway management equipment in the highway management equipment distribution queue and the adjacent highway management equipment come from the same road section. When the identification result is yes, any one of the two groups of adjacent highway management equipment is swapped with its other adjacent highway management equipment until each adjacent highway management equipment in the highway management equipment distribution queue does not come from the same road section. The finally obtained highway management equipment distribution queue is applied to the priority distribution of the truck characteristic parameters;

[0066] The tracking layer includes a receiving module and an intercepting module. The receiving module is used to receive the truck characteristic parameters captured in real time by the highway management equipment other than the reduction target determined by the reduction module, and pick up the truck movement path in the highway topology model based on the highway management equipment where the truck characteristic parameters come from. The intercepting module is used to obtain the truck movement path picked up in the receiving module, determine the highway management equipment at the end of the truck movement path based on the truck movement path, and intercept the truck based on the determined terminal highway management equipment;

[0067] Among them, the truck characteristic parameters received by the receiving module are the truck appearance image, the key feature area, and the license plate number. The source of the truck characteristic parameters is the monitoring camera in the highway management equipment. The truck movement path picked up by the receiving module in the highway topology model is the path in the highway topology model where all the sources of the truck characteristic parameters are the highway management equipment;

[0068] The distribution module is connected to the construction module and the reduction module through wireless network interaction. The distribution module is connected to the transmission module through wireless network interaction. The transmission module is connected to the determination module and the capture module through wireless network interaction. The reduction module is connected to the receiving module through wireless network interaction. The receiving module is connected to the intercepting module through wireless network interaction.

[0069] In this embodiment, the determination module determines whether the trucks driving into the road are overweight. The capture module receives the current determination result of the determination module in real time. When the determination result is positive, the capture module performs the operation of capturing the characteristic parameters of the trucks driving into the road. The transmission module further receives the characteristic parameters of the trucks captured by the capture module, packs the characteristic parameters of the trucks and transmits them to the monitoring layer. The construction module runs later to upload the distribution information of the road sections of the system service road, constructs a road topology model based on the distribution information of the road sections, marks the deployment positions of the road management devices on the road topology model, and then the distribution module receives the characteristic parameters of the trucks captured by the capture layer, distributes the characteristic parameters of the trucks to each road management device, stores the characteristic parameters of the trucks through the road management devices, and the elimination module synchronizes to monitor the road management device that first matches the characteristic parameters of the trucks, and performs the elimination operation with the road management devices other than the subordinate road management devices of the road management device that monitors the characteristic parameters of the trucks as the elimination targets. Then, the receiving module receives the characteristic parameters of the trucks captured in real time by the road management devices other than the elimination targets determined by the elimination module, picks up the moving path of the trucks in the road topology model based on the source road management device of the characteristic parameters of the trucks, and finally the interception module obtains the moving path of the trucks picked up in the receiving module, determines the road management device at the end of the moving path of the trucks based on the moving path of the trucks, and intercepts the trucks based on the determined terminal road management device.

[0070] Through the system in the above embodiment, an intelligent interaction logic is brought to the road management devices used for the treatment of overweight trucks on the road, ensuring real-time interaction based on the road management devices, monitoring and tracking overweight and suspected overweight trucks, and preventing trucks from evading the secondary overweight inspection carried out to determine whether they are overweight.

[0071] See Figure 3 and Figure 4 as shown in Figure 3 For example, the appearance image of the truck. Further, Figure 4 The edge 1 and the key feature area 2 of the appearance image of the truck marked in are the comprehensive lengths of the groups of line segments shown by the dotted lines in the figure;

[0072] It should be noted that for the convenience of viewing and reading information, Figure 4 only the corresponding image blocks of the key feature areas are shown in

[0073] Embodiment 2:

[0074] At the specific implementation level, on the basis of Embodiment 1, this embodiment further specifically describes a road management device interaction system based on truck overweight treatment in Embodiment 1 with reference to Figure 1 :

[0075] The determination module is respectively provided with two sets of determination values based on weight overlimit and size overlimit in the truck over-limit determination content. The determination values are denoted as the first weight overlimit determination value, the second weight overlimit determination value, the first size overlimit determination value, and the second size overlimit determination value. The first determination value is less than the second determination value. When the determination module determines whether a truck driving into the road is over-limit, it captures the truck weight and the truck width and height of the truck with a dynamic weighing device and a width and height limiting device, and based on the comparison of the truck weight, the truck width and height with the determination values, when either or both of the truck weight and the truck width and height are greater than the first determination value and less than the second determination value, the truck is determined to be yes, that is, determined to be over-limit. On the contrary, the truck is determined to be no, that is, determined not to be over-limit. When either or both of the truck weight and the truck width and height are greater than the second determination value, the truck is determined to be a vehicle prohibited from driving in.

[0076] Through the above settings, further operational logic support is provided for the determination module of the system in the first embodiment, ensuring that the subsequent operation of the system can target specific trucks, that is, over-limit and suspected over-limit trucks.

[0077] As Figure 1 shown, before the transmission module packs the truck characteristic parameters, it synchronously picks up the truck appearance image from the truck characteristic parameters and performs license plate number and key feature area recognition on the picked-up truck appearance image;

[0078] When recognizing the license plate number, based on the license plate color, the license plate area image is extracted from the truck appearance image, and further character recognition operations are performed on the license plate area image to obtain the truck license plate number;

[0079] The key feature area is the area image defined by the truck windshield in the truck appearance image. When recognizing the key feature area, based on the Sobel operator, the gradients of each pixel in the truck appearance image are calculated, an image contour determination value is set, and based on the comparison of each pixel gradient with the image contour determination value, the image contour pixels are determined. The image contour is determined through the image contour pixels, and further based on the image contour, the truck appearance image is segmented to obtain several groups of image blocks, and the image blocks representing the key feature area are picked up from the several groups of image blocks;

[0080] Among them, the license plate number and the key feature area recognized in the truck appearance image are synchronously processed by the transmission module together with the truck characteristic parameters.

[0081] Through the above settings, further operational function limitations are provided for the transmission module. Based on the further recognition of the image information of the key feature area and the license plate number, further operational data support is provided for the system in the first embodiment, reducing and avoiding the problem of trucks using body camouflage, license plate cloning and other methods to evade secondary over-limit detection.

[0082] As Figure 1 shown, the key feature area recognition logic is expressed as:

[0083]

[0084] Where: θ(a) is the determination value of whether the image block a is a suspected key feature area; SIMM shape (MAX) is the highest similarity of the image block calculated based on the outer contour of the image to the rectangular, trapezoidal or parallel suspected key feature areas; f a (·) is the determination function; D is the sum of the perpendicular distances from each corner point on the outer contour of the image block to the image edge of the truck forward direction in the truck appearance image where the image block is located; n is the set of corner points on the outer contour of the image block; l i is the perpendicular distance from the i-th group of corner points to the image edge of the truck forward direction in the truck appearance image where the image block is located;

[0085] Among them, the determination function f a (·) takes values of 0 or 1. When SIMM shape (MAX) ≥ 90%, the determination function f a (·) = 1. Conversely, the determination function f a (·) = 0. When the determination value θ(a) of whether the image block a is a suspected key feature area is 1, the corresponding calculated target image block is determined to be yes. Conversely, the corresponding calculated target image block is determined to be no. For the image blocks determined to be yes, D is further calculated based on Equation (2). The capture module takes the group of image blocks with the smallest D value as the key feature area recognition result;

[0086] Among the license plate number and the key feature area transmitted by the transmission module and the truck feature parameters, both the key feature area and the truck appearance image are converted into grayscale images before transmission, and then the transmission operation is performed.

[0087] Through the above settings, the key feature area recognition logic is further defined to ensure that the transmission module operates stably to recognize the key feature areas in the truck appearance image.

[0088] Such as Figure 1 shown, the distribution module continuously executes. Taking each highway management device in the highway management device distribution queue obtained from the previous run as the α applied in the priority stage for obtaining the distribution target highway management device in the next run until all highway management devices are in the highway management device distribution queue, the distribution module performs the distribution operation of the truck feature parameters;

[0089] The system service highway section distribution information uploaded in the construction module, that is, the position information of both ends of each section of the highway in the system service highway section, and the highway topology model is constructed based on the mutual connection of the position information of both ends of each section of the highway;

[0090] The deletion operation performed by the deletion module is an operation to delete the truck characteristic parameters stored in the highway management equipment. The deletion target determined in the deletion module is: highway management equipment other than all subordinate highway management equipment of the highway management equipment that first matches the truck characteristic parameters, but does not include all superior highway management equipment of the highway management equipment that first matches the truck characteristic parameters. The superior and subordinate levels of the highway management equipment are determined based on the driving direction of the truck on the highway. The forward direction is the subordinate level, and the approaching direction is the superior level;

[0091] The highway management equipment pointed to by the construction module, distribution module, and deletion module during operation is a monitoring camera. The operation of monitoring the highway management equipment that first matches the truck characteristic parameters in the deletion module is: any monitoring camera that captures a comprehensive similarity of no less than 95% or the same license plate number with the truck appearance image and key feature areas.

[0092] Through the above settings, it provides further operation logic support and limitation for the monitoring layer of the system in Embodiment 1.

[0093] As Figure 1 shown, the interception module determines that the highway management equipment at the end of the truck movement path based on the truck movement path is a monitoring camera and a barrier gate. When the monitoring camera in the highway management equipment at the end of the truck movement path captures a truck appearance image with a comprehensive similarity of no less than 95% or the same license plate number with the truck appearance image and key feature areas, the barrier gate in the highway management equipment at the end of the truck movement path is linked and closed.

[0094] Through the above settings, the operation logic of the interception module is further limited, ensuring that the interception module stably operates based on the operation result of the receiving module in the tracking layer, and further intercepting overloaded and suspected overloaded trucks, providing conditions for the secondary overloading detection of trucks.

[0095] Embodiment Three:

[0096] At the specific implementation level, based on Embodiment 1, this embodiment further specifically describes a highway management equipment interaction system for truck overload control in Embodiment 1 with reference to Figure 2 :

[0097] A highway management equipment interaction method for truck overload control includes:

[0098] S1: Determine whether the truck driving into the highway section served by the system is overloaded according to the highway management equipment;

[0099] S2: Capture the characteristic parameters of the overloaded truck, set the distribution logic, and distribute the characteristic parameters of the overloaded truck to the highway management equipment deployed on the highway section served by the system in real time;

[0100] S3: The highway management devices deployed on the highway sections of the system service operate in real time. After receiving the characteristic parameters of over-limit trucks, using the characteristic parameters of over-limit trucks as the matching target, the captured truck appearance images are matched with the characteristic parameters of over-limit trucks in real time;

[0101] S4: Upload the distribution information of the highway sections of the system service, construct a highway topology model, determine the reduction target of the highway management device based on the highway topology model and the highway management device that first matches the characteristic parameters of over-limit trucks, and perform a reduction operation on the reduction target of the highway management device;

[0102] S5: Use the highway management devices that have not performed the reduction operation to capture the characteristic parameters of over-limit trucks in real time, and pick up the truck movement path in the highway topology model based on the highway management device from which the characteristic parameters of over-limit trucks are sourced;

[0103] S6: Determine the highway management device at the path terminal according to the picked-up truck movement path, and intercept the over-limit truck through the determined highway management device at the path terminal.

[0104] In summary, during the operation of the system in the above embodiments, through the linkage interaction of highway management devices, over-limit and suspected over-limit trucks are monitored and tracked, effectively reducing the labor cost invested in highway over-limit governance, making highway over-limit governance more intelligent and reliable. At the same time, during the operation of this system, combined with the capture of various truck characteristic parameters, it can effectively prevent trucks from evading secondary over-limit detection by means of vehicle body camouflage, license plate cloning, etc., ensuring the actual benefits of highway over-limit governance, maintaining highway traffic safety, and at the same time avoiding additional damage to the highway caused by overweight problems; in addition, based on the execution of the steps in the method in the above embodiments, the operation logic of the above system is further provided to ensure that the technical solution composed of the above system and method better serves the over-limit governance highway sections in the specific implementation stage.

[0105] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A highway management equipment interaction system based on over-limit control of freight trucks, characterized in that, It includes a capture layer, a monitoring layer, a tracking layer and highway management equipment; The highway management equipment includes: dynamic weighing equipment, width and height limiting equipment, monitoring cameras and barriers. The dynamic weighing equipment, width and height limiting equipment, monitoring cameras and barriers are deployed at the entrances and exits of the highway sections served by the system. The monitoring cameras are evenly distributed on both sides of the highway sections served by the system; Overweight trucks are determined by the capture layer. The capture layer simultaneously captures the characteristic parameters of the trucks determined to be overweight. The monitoring layer obtains the truck characteristic parameters in real time and distributes the truck characteristic parameters to the highway management equipment. When the target highway management equipment receives the truck characteristic parameters, it further stores the truck characteristic parameters. The tracking layer tracks and intercepts the trucks based on the truck characteristic parameters stored by the highway management equipment; The monitoring layer includes a distribution module, a construction module, and a reduction module. The construction module is used to upload the distribution information of the highway sections served by the system, construct a highway topology model based on the highway section distribution information, and mark the deployment positions of the highway management equipment on the highway topology model. The distribution module is used to receive the truck characteristic parameters captured by the capture layer and distribute the truck characteristic parameters to each highway management equipment. The truck characteristic parameters are stored by the highway management equipment. The reduction module is used to monitor the highway management equipment that first matches the truck characteristic parameters, and performs a reduction operation with the highway management equipment other than the subordinate highway management equipment of the highway management equipment that has detected the truck characteristic parameters as the reduction target; When the distribution module executes the truck characteristic parameter distribution, the truck characteristic parameter distribution operation is subject to: ； Wherein: is the priority for distributing the target highway management equipment; is the highway management equipment at the entrance and exit positions of the highway section and is the set of highway management equipment on the adjacent sections of the section where it is located; is the path distance between the highway management equipment in the j-th group and the highway management equipment at the entrance and exit positions of the highway section ; is the total number of road intersections on the section where the highway management equipment in the j-th group is located based on the forward direction of the truck; is the total number of road intersections on the section where the highway management equipment in the j-th group is located based on the approaching direction of the truck. Among them, based on the priority of the distributed target highway management equipment , a highway management equipment distribution queue is created, and it is identified whether each adjacent highway management equipment in the highway management equipment distribution queue comes from the same road section. When the identification result is yes, any group of highway management equipment in two adjacent groups of highway management equipment is swapped with its other adjacent highway management equipment until each adjacent highway management equipment in the highway management equipment distribution queue does not come from the same road section. The finally obtained highway management equipment distribution queue is applied to the priority distribution of truck characteristic parameters.

2. The highway management equipment interaction system based on overloading control of freight trucks according to claim 1, characterized in that, The capture layer includes a determination module, a capture module, and a transmission module. The determination module is used to determine whether the trucks entering the highway are overweight. The capture module is used to receive the current determination result of the determination module. When the determination result is yes, it performs the capture operation of the characteristic parameters of the trucks entering the highway. The transmission module is used to receive the truck characteristic parameters captured by the capture module, package the truck characteristic parameters and transmit them to the monitoring layer; Among them, the determination module is integrated by the dynamic weighing equipment and the width and height limiting equipment. The truck overweight determination content includes: weight overweight and size overweight. The truck overweight determination is based on any one or two sets of equipment among the dynamic weighing equipment and the width and height limiting equipment, and the determination is completed when the truck enters the highway entrance and exit. The capture module is integrated by the dynamic weighing equipment, the width and height limiting equipment, and the monitoring cameras. The truck characteristic parameters captured by the capture module include: truck weight, truck width and height, and truck appearance image.

3. The highway management equipment interaction system based on over-limit control of freight vehicles according to claim 2, characterized in that, The determination module is respectively provided with two sets of determination values based on weight overrun and size overrun in the truck overrun determination content. The determination values are denoted as the first weight overrun determination value, the second weight overrun determination value, the first size overrun determination value, and the second size overrun determination value. The first determination value is less than the second determination value. When the determination module determines whether a truck driving into the road is overrun, it captures the truck weight and the truck width and height of the truck with a dynamic weighing device and a width and height limiting device, and compares the truck weight, truck width and height with the determination values. When the truck weight, truck width and height are greater than the first determination value, less than the second determination value, either one or both, the truck is determined to be overrun, that is, determined to be overrun. Otherwise, the truck is determined to be not overrun, that is, determined to be not overrun. When the truck weight, truck width and height are greater than the second determination value, either one or both, the truck is determined to be a vehicle prohibited from driving in.

4. An interactive system for highway management equipment based on overloading control of freight trucks according to claim 2, characterized in that, Before the transmission module packs the truck characteristic parameters, it synchronously picks up the truck appearance image from the truck characteristic parameters and performs license plate number and key feature area recognition on the picked-up truck appearance image. When the license plate number is recognized, the license plate area image is extracted from the truck appearance image based on the license plate color, and further character recognition operations are performed on the license plate area image to obtain the truck license plate number. The key feature area is the area image defined by the truck windshield in the truck appearance image. When the key feature area is recognized, the pixel gradient of each pixel in the truck appearance image is calculated based on the Sobel operator, and the image contour determination value is set. Based on the comparison between each pixel gradient and the image contour determination value, the image contour pixels are determined, and the image contour is determined through the image contour pixels. Further, the truck appearance image is segmented based on the image contour to obtain several groups of image blocks, and the image blocks representing the key feature area are picked up from the several groups of image blocks. Among them, the license plate number and key feature area recognized in the truck appearance image and the truck characteristic parameters are synchronously processed by the transmission module.

5. The highway management equipment interaction system based on over-limit control of freight vehicles according to claim 4, characterized in that, The key feature area recognition logic is expressed as: ； Wherein: is the determination value of whether the image block a is a suspected key feature area; is the highest similarity of the image block calculated based on the outer contour of the image to the suspected key feature areas of the rectangle and trapezoid; is the decision function; is the sum of the perpendicular distances from each corner point on the outer contour of the image block to the image edge in the forward direction of the truck in the truck appearance image where the image block is located; is the set of corner points on the outer contour of the image block; is the perpendicular distance from the i-th group of corner points to the image edge in the forward direction of the truck in the truck appearance image where the image block is located; Among them, the decision function takes values of 0 or 1. When ≥ 90%, the decision function = 1. Conversely, the decision function = 0. When the decision value that determines whether the image patch a is a suspected key feature region is 1, the corresponding image patch is determined to be yes. Conversely, the corresponding image patch is determined to be no. For the image patches determined to be yes, the is further obtained based on Equation (2). The capture module uses the set of image patches with the smallest value as the recognition result of the key feature region; In the license plate number and key feature area transmitted by the transmission module and the truck characteristic parameters, the key feature area and the truck appearance image are both converted into grayscale images before transmission, and then the transmission operation is performed.

6. The highway management equipment interaction system based on overloading control of freight vehicles according to claim 1, characterized in that, The distribution module continuously executes, using each highway management device in the highway management device distribution queue obtained from the previous run as the one for the next run when calculating the priority levels of the target highway management devices to be distributed , until all highway management devices are in the highway management device distribution queue, and then the distribution module performs the distribution operation of the truck characteristic parameters The system service highway section distribution information uploaded in the construction module is the position information of both ends of each section of the highway in the system service highway section. The highway topology model is constructed based on the mutual connection of the position information of both ends of each section of the highway. The deletion operation performed by the deletion module is to delete the truck characteristic parameters stored in the highway management equipment. The deletion target determined in the deletion module is: the highway management equipment other than all the subordinate highway management equipment of the highway management equipment that first matches the truck characteristic parameters, but does not include all the superior highway management equipment of the highway management equipment that first matches the truck characteristic parameters. The superior and subordinate of the highway management equipment are determined based on the driving direction of the truck on the highway. The forward direction is the subordinate, and the approaching direction is the superior. The construction module, distribution module, and elimination module all operate with the highway management device being a surveillance camera. The elimination module monitors the highway management device that first matches the characteristic parameters of the truck, that is, any surveillance camera that captures a truck appearance image, a key feature area, with a comprehensive similarity of not less than 95% or the same license plate number.

7. The highway management equipment interaction system based on overloading control of freight vehicles according to claim 1, characterized in that, The tracking layer includes a receiving module and an interception module. The receiving module is used to receive the characteristic parameters of the truck captured in real-time by highway management devices other than the elimination target determined by the elimination module, and pick up the moving path of the truck in the highway topology model based on the highway management device where the truck characteristic parameters come from. The interception module is used to obtain the moving path of the truck picked up in the receiving module, determine the highway management device at the end of the truck moving path based on the moving path of the truck, and intercept the truck based on the determined terminal highway management device. Among them, the truck characteristic parameters received by the receiving module are the truck appearance image, the key feature area, and the license plate number, and the source of the truck characteristic parameters is the surveillance camera in the highway management device.

8. The highway management equipment interaction system based on overloading control of freight trucks according to claim 7, wherein, The highway management device at the end of the truck moving path determined by the interception module based on the truck moving path is a surveillance camera and a barrier gate. When the surveillance camera in the highway management device at the end of the truck moving path captures a truck appearance image with a comprehensive similarity of not less than 95% or the same license plate number as the truck appearance image in the key feature area, the barrier gate in the highway management device at the end of the truck moving path is linked and closed.

9. The highway management equipment interaction system based on truck overloading control according to claim 1, wherein, The distribution module is wirelessly interconnected with the construction module and the elimination module. The distribution module is wirelessly interconnected with the transmission module. The transmission module is wirelessly interconnected with the determination module and the capture module. The elimination module is wirelessly interconnected with the receiving module. The receiving module is wirelessly interconnected with the interception module.

10. A highway management equipment interaction method based on overloading control of freight vehicles, the method being based on a highway management equipment interaction system as described in any one of claims 1-9, characterized in that, Including: S1: Determine whether the truck entering the highway section served by the system is overloaded according to the highway management device. S2: Capture the characteristic parameters of the overloaded truck, set the distribution logic, and distribute the characteristic parameters of the overloaded truck to the highway management devices deployed on the highway section served by the system in real-time. S3: The highway management devices deployed on the highway section served by the system operate in real-time, and after receiving the characteristic parameters of the overloaded truck, use the characteristic parameters of the overloaded truck as the matching target, and match the captured truck appearance image with the characteristic parameters of the overloaded truck in real-time. S4: Upload the distribution information of the highway section served by the system, construct a highway topology model, determine the elimination target of the highway management device based on the highway topology model and the highway management device that first matches the characteristic parameters of the overloaded truck, and perform an elimination operation on the elimination target of the highway management device. S5: Use the highway management device that has not performed the elimination operation to capture the characteristic parameters of the overloaded truck in real-time, and pick up the moving path of the truck in the highway topology model based on the highway management device where the characteristic parameters of the overloaded truck come from. S6: Determine the highway management device at the end of the path according to the picked-up moving path of the truck, and intercept the overloaded truck through the determined highway management device at the end of the path.

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