Intelligent ultra-wide checkpoint truck passing control method and system

Abstract

The invention relates to the technical field of intelligent traffic control, in particular to an intelligent ultra-wide checkpoint truck passing control method and system. The method comprises the following steps: arranging an ultra-wide main bayonet system, integrating a group of front and side double cameras and a 120-ton ultra-wide electronic weighbridge, and carrying out truck information double-camera identification and truck weighbridge weighing on a corresponding truck which is about to be driven in or out in the ultra-wide main bayonet system; the checkpoint double-camera truck information and the load weight of the checkpoint truck are obtained; carrying out load limit marking based on the checkpoint double-camera truck information and the load weight of the checkpoint truck so as to obtain an ultra-wide checkpoint release truck and an ultra-wide checkpoint overweight truck; barrier gate response passing adjustment is carried out on the ultra-wide checkpoint release truck, and a checkpoint truck barrier gate release adjustment strategy is generated; and carrying out overload guide control processing on the overweight truck with the ultra-wide bayonet, and generating an overweight truck guide passing control strategy. According to the invention, efficient and accurate management of passing of ultra-wide trucks can be realized.

Description

Technical Field

[0001] The present invention relates to the field of intelligent traffic control technology, and in particular to a method and system for intelligent super-wide checkpoint truck traffic control. Background Art

[0002] As a key tool for transporting large and heavy goods, the traffic management of extra-wide trucks faces many challenges. Traditional checkpoint systems are mainly designed for ordinary vehicles and are seriously inadequate when dealing with extra-wide trucks. When extra-wide trucks pass through, due to their large dimensions, they are very likely to cause traffic jams at the checkpoints. At the same time, traditional vehicle information collection methods, such as single-camera recognition, are difficult to fully obtain key information about extra-wide trucks, including precise vehicle width, cargo size and shape, etc. In addition, in the weighing process, ordinary scales cannot meet the weighing requirements of extra-wide trucks and have limited accuracy, making it difficult to effectively identify and control overloaded trucks. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a smart extra-wide checkpoint truck traffic control method and system to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above purpose, a smart extra-wide checkpoint truck traffic control method comprises the following steps:

[0005] Step S1: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; using the front and side dual cameras to perform dual-camera identification of truck information on the corresponding truck that is about to enter or exit the ultra-wide main bayonet system, so as to obtain bayonet dual-camera truck information; using the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main bayonet system on the truck floor scale, so as to obtain the bayonet truck load weight;

[0006] Step S2: Based on the double-camera truck information and the truck load weight at the checkpoint, the corresponding truck is marked with a load limit to obtain trucks released by the extra-wide checkpoint and trucks overweight by the extra-wide checkpoint;

[0007] Step S3: Obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate a checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work;

[0008] Step S4: Obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate based on the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, perform overload guidance and control processing on the corresponding super-wide checkpoint overweight truck, generate an overweight truck guidance and passage control strategy, and execute the corresponding checkpoint overweight truck guidance and passage control work.

[0009] Furthermore, the super-wide main checkpoint system described in step S1 is provided with two super-wide channels, one for entry and one for exit, so as to adopt double-barriers for travel.

[0010] Further, step S1 includes the following steps:

[0011] Step S11: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale on both sides of the 1-in and 1-out channel;

[0012] Step S12: using the front camera to identify the basic information of the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system, so as to clearly capture the corresponding front image of the truck under different lighting conditions, and use the OCR optical recognition technology to quickly and accurately identify the corresponding license plate number and vehicle type of the truck, and obtain the basic front information of the truck at the checkpoint;

[0013] Step S13: Using the side camera to identify the side information of the corresponding truck that is about to enter or exit the super-wide main checkpoint system, so as to accurately identify and measure the vehicle width, vehicle size and vehicle weight limit corresponding to the truck, and obtain the side vehicle information of the checkpoint truck;

[0014] Step S14: merging the basic information of the front of the checkpoint truck and the vehicle information of the side of the checkpoint truck to obtain the checkpoint dual-camera truck information;

[0015] Step S15: The corresponding truck that is about to enter or exit the super-wide main checkpoint system is weighed by the super-wide electronic floor scale to obtain the load weight of the checkpoint truck.

[0016] Further, step S2 includes the following steps:

[0017] Step S21: obtaining a corresponding truck structure design and a truck tire wheelbase through a corresponding truck that is about to enter or exit the ultra-wide main bayonet system;

[0018] Step S22: evaluating the tire load capacity of the corresponding truck based on the truck structure design and the truck tire wheelbase to obtain the truck tire load capacity;

[0019] Step S23: Compare and analyze the vehicle weight limit corresponding to the double-camera truck information at the checkpoint with the previous truck weights of the same type in the standard database to obtain a comparison deviation of the truck weights at the checkpoint;

[0020] Step S24: Based on the load capacity of the truck tires, the load comparison deviation of the truck types, the width and size of the truck, a theoretical load calculation formula is used to perform a theoretical load estimation calculation on the corresponding truck to obtain a theoretical maximum load weight of the truck.

[0021] Step S25: Compare and judge the load weight of the checkpoint truck based on the theoretical maximum load weight of the checkpoint truck. If the load weight of the checkpoint truck is less than the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint release truck; if the load weight of the checkpoint truck is greater than or equal to the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint overweight truck.

[0022] Furthermore, the theoretical load calculation formula of the truck in step S24 is specifically:

[0023]

[0024] In the formula, C m is the theoretical maximum load weight of the bayonet truck, k is the vehicle width corresponding to the truck, s is the vehicle size corresponding to the truck, ε is the tire load capacity of the bayonet truck, d is the wheelbase of the truck tire, δ is the load comparison deviation of the bayonet truck type, and η is the correction coefficient of the theoretical maximum load weight of the bayonet truck.

[0025] Further, step S3 includes the following steps:

[0026] Step S31: obtaining the corresponding checkpoint truck traffic flow and the checkpoint truck queuing braking distance through the traffic network of the surrounding roads corresponding to the ultra-wide main checkpoint system;

[0027] Step S32: obtaining the corresponding number of trucks at the checkpoint and the passing speed of trucks at the checkpoint through the truck traffic flow at the checkpoint, and determining the queuing time of trucks at the checkpoint by the braking distance of the queuing at the checkpoint based on the number of trucks at the checkpoint and the passing speed of trucks at the checkpoint, so as to obtain the queuing time of trucks at the checkpoint;

[0028] Step S33: Based on the truck traffic flow at the checkpoint and the queuing time of trucks at the checkpoint, the gate response passage adjustment is performed for the trucks released at the extra-wide checkpoint. When the truck traffic flow at the checkpoint is large and the queuing time of trucks at the checkpoint is long, the opening frequency and opening time of the corresponding gate of the extra-wide main checkpoint system are appropriately increased. Otherwise, the number of trucks allowed to pass each time the gate is opened is appropriately reduced, and a checkpoint truck gate release adjustment strategy is generated to execute the corresponding checkpoint traffic control work for non-overweight trucks.

[0029] Further, step S2 includes the following steps:

[0030] Step S41: Obtain the corresponding truck load and truck weight limit through the super-wide checkpoint overweight truck;

[0031] Step S42: Calculate the difference according to the truck load and the truck weight limit to obtain the truck excess weight;

[0032] Step S43: Obtain the corresponding truck frame condition and truck service life through the super-wide bayonet overweight truck, and perform suspension fatigue attenuation analysis on the suspension system corresponding to the super-wide bayonet overweight truck based on the truck frame condition and truck service life to obtain the suspension fatigue attenuation coefficient of the overweight truck;

[0033] Step S44: Calculate the overweight rate of the over-wide checkpoint overweight truck using the vehicle overweight rate calculation formula based on the truck vehicle load weight, the truck vehicle excess weight and the overweight truck suspension fatigue attenuation coefficient to obtain the checkpoint truck vehicle overweight rate;

[0034] Step S45: Based on the overweight rate of the checkpoint truck, the corresponding overload guidance control processing is performed on the super-wide checkpoint overweight truck, and an overweight truck guidance control strategy is generated to execute the corresponding checkpoint overweight truck guidance control work.

[0035] Furthermore, the vehicle overweight rate calculation formula described in step S44 is specifically:

[0036]

[0037] Where ρ is the overweight rate of trucks at the checkpoint, T is the time range for trucks to pass through, t is the time variable parameter, and W e (t) is the excess weight of the truck at time t, W c is the truck load, k f is the suspension fatigue attenuation coefficient of overweight truck.

[0038] Furthermore, the overweight truck guiding traffic control strategy described in step S45 is specifically to compare and judge the vehicle overweight rate of the checkpoint truck according to the preset vehicle overweight rate threshold. If the vehicle overweight rate of the checkpoint truck is greater than or equal to the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided back to restricted traffic; if the vehicle overweight rate of the checkpoint truck is less than the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided to the designated overload processing area for transport traffic control processing.

[0039] Furthermore, the present invention also provides a smart extra-wide checkpoint truck traffic control system, which is used to execute the smart extra-wide checkpoint truck traffic control method as described above, and the smart extra-wide checkpoint truck traffic control system includes:

[0040] The checkpoint truck information collection module is used to set up an ultra-wide main checkpoint system and integrate a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; use the front and side dual cameras to perform dual-camera truck information recognition on the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system to obtain the checkpoint dual-camera truck information; use the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system on the truck floor scale to obtain the checkpoint truck load weight;

[0041] The checkpoint truck load limit marking module is used to mark the corresponding trucks with load limits based on the checkpoint dual-camera truck information and the checkpoint truck load weight, so as to obtain the trucks released by the extra-wide checkpoint and the extra-wide checkpoint overweight trucks;

[0042] The checkpoint truck gate release module is used to obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint released trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate the checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work;

[0043] The checkpoint overweight truck guidance and control module is used to obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate according to the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, the corresponding super-wide checkpoint overweight truck is subjected to overload guidance and control processing, and an overweight truck guidance and passage control strategy is generated to execute the corresponding checkpoint overweight truck guidance and passage control work.

[0044] Beneficial effects of the present invention:

[0045] 1. The intelligent extra-wide checkpoint truck traffic control method proposed in the present invention, compared with the prior art, has the beneficial effect that by setting up an extra-wide main checkpoint system and integrating a combination of front and side dual cameras and a 120-ton extra-wide electronic floor scale, real-time acquisition and monitoring of truck information can be performed efficiently and accurately. The front and side dual cameras can provide all-round truck image information, greatly enhancing the system's ability to identify trucks. The front camera can accurately identify the truck's license plate and model information, and the side camera helps to identify important parameters such as the truck's body features and cargo shape, ensuring double verification of truck information and improving the accuracy and reliability of data collection. The use of an extra-wide electronic floor scale enables each truck passing through the checkpoint to be weighed at a precise time node, automatically recording the truck's load condition, and interacting with the floor scale system in real time to ensure that the weighing process is correct. Through these accurate truck information and load data, it is possible to better judge whether the truck meets the prescribed load standard, and to fully obtain key information of extra-wide trucks, thereby providing reliable basic data for subsequent overweight judgment and traffic management, and also enhancing the intelligence level and traffic efficiency of the extra-wide main checkpoint system. Secondly, based on the truck information and load data collected previously, trucks can be marked with load limits and overweight trucks can be distinguished from non-overweight trucks. Through a comprehensive analysis of each truck's license plate information, vehicle model, appearance characteristics and load conditions, trucks that meet the load limit and overweight trucks can be automatically marked, thereby achieving accurate identification of overweight trucks, ensuring that each truck can pass according to the prescribed load standards, and improving the intelligence and efficiency of road traffic management. Then, by monitoring and analyzing the traffic flow and queuing time of trucks at the checkpoint, it can provide accurate traffic control solutions for checkpoint management. When the system detects that the traffic flow of trucks at the checkpoint is too large or the queuing time is too long, it can adjust the gate response traffic strategy in time to optimize the release order and passage path of trucks. According to real-time data, it can dynamically adjust the gate release speed and opening and closing time, reasonably allocate traffic resources, reduce the queuing time of trucks at the checkpoint, improve the traffic efficiency of the checkpoint, help managers adjust work strategies in time, improve the overall traffic capacity and management level of the checkpoint, avoid traffic bottlenecks caused by unreasonable release strategies, and thus improve the overall efficiency of logistics transportation.Finally, by comparing the vehicle load and the limit weight of overweight trucks, the overweight rate is calculated and a guidance and control strategy for overweight trucks is generated. This step can not only accurately identify overweight trucks, but also perform differentiated management according to the overweight rate of trucks, and provide personalized guidance and management plans for each overweight truck. By accurately calculating the overweight rate of overweight trucks, it can be determined whether the truck needs to change its route or take specific traffic control measures. For example, if the overweight rate of a truck exceeds the predetermined standard, the driver can be reminded to return to choose a suitable route, or take measures such as speed limit and traffic restriction to ensure the safety and smoothness of road traffic, avoid traffic congestion or safety hazards caused by excessive concentration of overweight trucks, and thus better control overweight trucks.

[0046] 2. The intelligent super-wide checkpoint truck traffic control system proposed in the present invention is composed of a checkpoint truck information collection module, a checkpoint truck load limit marking module, a checkpoint truck gate release module and a checkpoint overweight truck guidance control module. It can realize any intelligent super-wide checkpoint truck traffic control method described in the present invention, and is used to combine the operations between computer programs running on each module to realize the intelligent super-wide checkpoint truck traffic control method. The internal structures of the system cooperate with each other, which can greatly reduce repetitive work and manpower investment, and can quickly and effectively provide a more accurate and efficient intelligent super-wide checkpoint truck traffic control process, thereby simplifying the operation process of the intelligent super-wide checkpoint truck traffic control system. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0048] Figure 1 A schematic diagram of the steps of the intelligent ultra-wide checkpoint truck passage control method of the present invention;

[0049] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0050] Figure 3 for Figure 1 Detailed step flow chart of step S2 in FIG. DETAILED DESCRIPTION

[0051] The technical method of the present invention is described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0052] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0053] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0054] To achieve this, please refer to Figure 1 to Figure 2 The present invention provides a method for controlling the passage of trucks at an intelligent ultra-wide checkpoint, the method comprising the following steps:

[0055] Step S1: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; using the front and side dual cameras to perform dual-camera identification of truck information on the corresponding truck that is about to enter or exit the ultra-wide main bayonet system, so as to obtain bayonet dual-camera truck information; using the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main bayonet system on the truck floor scale, so as to obtain the bayonet truck load weight;

[0056] Step S2: Based on the double-camera truck information and the truck load weight at the checkpoint, the corresponding truck is marked with a load limit to obtain trucks released by the extra-wide checkpoint and trucks overweight by the extra-wide checkpoint;

[0057] Step S3: Obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate a checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work;

[0058] Step S4: Obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate based on the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, perform overload guidance and control processing on the corresponding super-wide checkpoint overweight truck, generate an overweight truck guidance and passage control strategy, and execute the corresponding checkpoint overweight truck guidance and passage control work.

[0059] In the embodiment of the present invention, please refer to Figure 1 FIG. 1 is a schematic diagram of the steps of the intelligent super-wide checkpoint truck passage control method of the present invention. In this example, the intelligent super-wide checkpoint truck passage control method includes the following steps:

[0060] Step S1: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; using the front and side dual cameras to perform dual-camera identification of truck information on the corresponding truck that is about to enter or exit the ultra-wide main bayonet system, so as to obtain bayonet dual-camera truck information; using the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main bayonet system on the truck floor scale, so as to obtain the bayonet truck load weight;

[0061] In an embodiment of the present invention, a corresponding ultra-wide main checkpoint system is set up and integrated with front and side dual cameras and a 120-ton ultra-wide electronic floor scale to realize information collection and weighing operations on trucks that are about to enter or exit the checkpoint. The front camera is used to obtain image data of the front of the truck, and the side camera takes real-time photos of the side of the truck, so as to collect complete truck appearance information. Through these two cameras, combined with computer vision technology, the model, license plate number, body size and other information of the truck can be automatically identified to generate checkpoint dual-camera truck information. At the same time, the 120-ton ultra-wide electronic floor scale in the checkpoint will weigh the passing trucks in real time to measure the load weight of the trucks at the checkpoint. The ultra-wide main checkpoint system uses two ultra-wide channels with 1 in and 1 out, and cooperates with the double gate system to control the passage of trucks entering and leaving, ensuring the normal release of trucks or handling of abnormal situations.

[0062] Step S2: Based on the double-camera truck information and the truck load weight at the checkpoint, the corresponding truck is marked with a load limit to obtain trucks released by the extra-wide checkpoint and trucks overweight by the extra-wide checkpoint;

[0063] In an embodiment of the present invention, the load limit of the truck is marked based on the truck information and the load weight of the truck through the dual cameras of the checkpoint. According to the truck information obtained from the front and side cameras, the specific type, appearance, license plate and other information of each truck are automatically determined. Combined with the weighing results of the scale, the load of the truck is further calculated. If the load of a truck exceeds the set weight limit, the system will mark it as an "overweight truck" and feed back the relevant information to the checkpoint control system. The system will classify and process the information according to the set load limit standards: trucks that meet the standards will be marked as "released trucks", and overweight trucks will be marked as "overweight trucks" for subsequent processing or guidance, and finally ultra-wide checkpoint released trucks and ultra-wide checkpoint overweight trucks will be obtained.

[0064] Step S3: Obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate a checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work;

[0065] In the embodiment of the present invention, the super-wide main checkpoint system adjusts the gate response by acquiring the traffic flow data and queue time of trucks in real time. The checkpoint system monitors the traffic conditions of trucks at the checkpoint in real time through traffic flow monitoring equipment. By accurately calculating the queue time of trucks, the congestion of the checkpoint is judged. During peak hours, the system will automatically adjust the response strategy of the gate to improve the release efficiency, ensure that trucks can pass through the checkpoint smoothly, and reduce the waiting time of vehicles. According to the traffic flow and queue time, the opening frequency and passage order of the gate will be adjusted as needed to reasonably guide trucks to pass through the checkpoint in order. In addition, the corresponding checkpoint truck gate release adjustment strategy will be generated according to the real-time traffic data to ensure the intelligence and efficiency of the checkpoint traffic management, and finally generate the checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck traffic control work.

[0066] Step S4: Obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate based on the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, perform overload guidance and control processing on the corresponding super-wide checkpoint overweight truck, generate an overweight truck guidance and passage control strategy, and execute the corresponding checkpoint overweight truck guidance and passage control work.

[0067] In an embodiment of the present invention, when the system identifies an overweight truck, the actual load data of the truck is obtained through the electronic floor scale system, and compared with the preset truck weight limit standard, the overweight rate of the truck is calculated, thereby obtaining the overweight rate of the checkpoint truck vehicle. At the same time, a comparison and judgment will be made. If the overweight rate exceeds the set safety threshold, an overweight truck guidance and control strategy will be further generated. Specifically, if the overweight rate of the checkpoint truck is greater than or equal to the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided back to restricted traffic; if the overweight rate of the checkpoint truck is less than the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided to the designated overload processing area for transportation traffic control. This strategy will be activated in the checkpoint system to guide overweight trucks to drive to special overweight lanes to prevent them from entering normal traffic lanes, thereby affecting traffic efficiency. For overweight trucks, vehicles need to be required to undergo additional inspections, unloading or be guided to designated parking areas to ensure that the trucks meet road safety standards. Through this series of automated operations, the system achieves effective management and safe guidance of overweight trucks, avoids illegal passage of overweight vehicles and possible safety hazards, and ultimately executes the corresponding checkpoint overweight truck guidance and traffic control work.

[0068] Furthermore, the super-wide main checkpoint system described in step S1 is provided with two super-wide channels, one for entry and one for exit, so as to adopt double-barriers for travel.

[0069] Further, step S1 includes the following steps:

[0070] Step S11: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale on both sides of the 1-in and 1-out channel;

[0071] Step S12: using the front camera to identify the basic information of the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system, so as to clearly capture the corresponding front image of the truck under different lighting conditions, and use the OCR optical recognition technology to quickly and accurately identify the corresponding license plate number and vehicle type of the truck, and obtain the basic front information of the truck at the checkpoint;

[0072] Step S13: Using the side camera to identify the side information of the corresponding truck that is about to enter or exit the super-wide main checkpoint system, so as to accurately identify and measure the vehicle width, vehicle size and vehicle weight limit corresponding to the truck, and obtain the side vehicle information of the checkpoint truck;

[0073] Step S14: merging the basic information of the front of the checkpoint truck and the vehicle information of the side of the checkpoint truck to obtain the checkpoint dual-camera truck information;

[0074] Step S15: The corresponding truck that is about to enter or exit the super-wide main checkpoint system is weighed by the super-wide electronic floor scale to obtain the load weight of the checkpoint truck.

[0075] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0076] Step S11: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale on both sides of the 1-in and 1-out channel;

[0077] In an embodiment of the present invention, in the design of a smart ultra-wide checkpoint truck traffic control system, an ultra-wide main checkpoint system is first set up. The system has an ultra-wide main checkpoint and an integrated set of dual cameras and an ultra-wide electronic floor scale. The design of the ultra-wide main checkpoint system requires that it can accommodate larger trucks and ensure complete channel management on both sides. A front camera and a side camera are set on each side. The camera installation position needs to be aimed at the front and side of the truck that is about to enter or exit, to ensure that a clear image of the vehicle can be obtained. At the same time, the checkpoint system also needs to integrate a 120-ton ultra-wide electronic floor scale (size: 24 meters long and 4 meters wide) to accurately weigh trucks entering or leaving. The installation of the floor scale needs to ensure that it is parallel to the direction of vehicle travel to ensure that the vehicle can fully contact the floor scale every time it passes, thereby ensuring the accuracy and stability of the weighing.

[0078] Step S12: using the front camera to identify the basic information of the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system, so as to clearly capture the corresponding front image of the truck under different lighting conditions, and use the OCR optical recognition technology to quickly and accurately identify the corresponding license plate number and vehicle type of the truck, and obtain the basic front information of the truck at the checkpoint;

[0079] In an embodiment of the present invention, when performing front information recognition of a truck, the front camera adopts a high-resolution lens and combines it with infrared technology to ensure that the front image of the truck can be clearly captured even at night or in low light conditions. Through a specific image processing algorithm, the truck image collected by the front camera is first optimized by image preprocessing technology such as noise removal and contrast enhancement to ensure image quality. After the image quality is optimized, the system automatically recognizes the license plate in the image through OCR (optical character recognition) technology to obtain the license plate number of the truck. In addition, OCR technology can also automatically identify the type of truck (such as large trucks, special transport vehicles, etc.) according to the characteristics of the license plate. All front images and license plate recognition information will be recorded in the database as basic data for subsequent traffic management, and finally the basic front information of the truck at the checkpoint is obtained.

[0080] Step S13: Using the side camera to identify the side information of the corresponding truck that is about to enter or exit the super-wide main checkpoint system, so as to accurately identify and measure the vehicle width, vehicle size and vehicle weight limit corresponding to the truck, and obtain the side vehicle information of the checkpoint truck;

[0081] In an embodiment of the present invention, when performing side information recognition, the side camera needs to adopt a high-precision ranging technology, combined with a laser radar or an ultrasonic sensor, so as to capture the side image of the truck in real time and perform measurements. By combining the image obtained by the side camera with other sensor data, the width, length and height of the truck can be accurately measured. During the measurement process, the side image of the truck is compared and analyzed with a preset vehicle size model, and the actual size of the vehicle is calculated through an algorithm. The weight limit information of the truck can also be identified and calculated. According to the specific type and design specifications of the vehicle and combined with the transportation regulations of different roads, the maximum load limit of the vehicle is determined, and finally the side vehicle information of the checkpoint truck is obtained.

[0082] Step S14: merging the basic information of the front of the checkpoint truck and the vehicle information of the side of the checkpoint truck to obtain the checkpoint dual-camera truck information;

[0083] In an embodiment of the present invention, after completing the front and side information collection, the front basic information and the side vehicle information of the truck are merged through data fusion technology. During the data merging process, the information collected by the front camera and the side camera are synchronously associated through specific timestamps to ensure accurate matching of images and data. The system integrates the license plate number, vehicle type (OCR information from the front camera recognition) and vehicle size, width, and weight limit information (measurement results from the side camera). Through algorithm processing, a comprehensive data packet containing all the key information of the truck is obtained, and stored in the database for subsequent checkpoint passage decisions and management, and finally the checkpoint dual-camera truck information is obtained.

[0084] Step S15: The corresponding truck that is about to enter or exit the super-wide main checkpoint system is weighed by the super-wide electronic floor scale to obtain the load weight of the checkpoint truck.

[0085] In an embodiment of the present invention, when a truck passes through an extra-wide main checkpoint, an electronic scale starts working to accurately measure the load of the truck. The extra-wide electronic scale adopts a high-precision sensor that can sense the weight changes of the truck in real time. When the truck enters the scale, the system will automatically record the actual load of the vehicle according to the speed of the vehicle and the response time of the scale sensor, and judge whether the vehicle is overloaded by comparing it with other vehicle information (such as weight limit data). The data measured by the scale will be associated with other information of the truck to ensure the compliance and data consistency of the entire passage process. The load information obtained by weighing is uploaded to the management system in real time, and finally the load weight of the truck at the checkpoint is obtained.

[0086] Further, step S2 includes the following steps:

[0087] Step S21: obtaining a corresponding truck structure design and a truck tire wheelbase through a corresponding truck that is about to enter or exit the ultra-wide main bayonet system;

[0088] Step S22: evaluating the tire load capacity of the corresponding truck based on the truck structure design and the truck tire wheelbase to obtain the truck tire load capacity;

[0089] Step S23: Compare and analyze the vehicle weight limit corresponding to the double-camera truck information with the previous truck weights of the same type in the standard database to obtain a comparison deviation of the truck weights of the truck type at the checkpoint;

[0090] Step S24: Based on the load capacity of the truck tires, the load comparison deviation of the truck types, the width and size of the truck, a theoretical load calculation formula is used to perform a theoretical load estimation calculation on the corresponding truck to obtain a theoretical maximum load weight of the truck.

[0091] Step S25: Compare and judge the load weight of the checkpoint truck based on the theoretical maximum load weight of the checkpoint truck. If the load weight of the checkpoint truck is less than the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint release truck; if the load weight of the checkpoint truck is greater than or equal to the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint overweight truck.

[0092] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 1 Detailed step flow diagram of step S2 in FIG. 1 , in this embodiment, step S2 includes the following steps:

[0093] Step S21: obtaining a corresponding truck structure design and a truck tire wheelbase through a corresponding truck that is about to enter or exit the ultra-wide main bayonet system;

[0094] In an embodiment of the present invention, in an ultra-wide main bayonet system, first, sensors and cameras installed in the bayonet system are used to capture relevant information of a truck that is about to enter or exit. This process will extract the outline, body structure and other physical features of the truck through high-precision image recognition technology. Then, by analyzing the image data, the structural design of the truck is extracted, including characteristic information such as the length, width and height of the car body, body material, and frame form. At the same time, the wheel contact point detection and image analysis are used to accurately measure the wheelbase of the truck tires, that is, the distance between the axles. All the acquired information will be matched with the known truck model through the built-in database to determine the structural design of the truck and the tire wheelbase data, and finally the truck structural design and truck tire wheelbase are obtained.

[0095] Step S22: evaluating the tire load capacity of the corresponding truck based on the truck structure design and the truck tire wheelbase to obtain the truck tire load capacity;

[0096] In an embodiment of the present invention, after obtaining the structural design and tire wheelbase of the truck, the tire load capacity is calculated according to the vehicle design specifications and relevant parameters of the tire. Specifically, according to a standardized tire load capacity evaluation model (such as ISO specifications, technical parameters provided by tire manufacturers), the tire size, wheelbase and design load data of the truck are input, and a comprehensive analysis is performed in combination with the maximum load capacity of each tire. Through the evaluation results, the load capacity of each tire and the overall load capacity of the truck tires are obtained, and a corresponding load capacity report is generated. This evaluation not only takes into account the load limit of the tire, but also comprehensively considers the load changes under different road conditions to ensure the accuracy of the evaluation results, and finally obtains the load capacity of the bayonet truck tire.

[0097] Step S23: Compare and analyze the vehicle weight limit corresponding to the double-camera truck information with the previous truck weights of the same type in the standard database to obtain a comparison deviation of the truck weights of the truck type at the checkpoint;

[0098] In an embodiment of the present invention, the vehicle's weight limit information is extracted from the truck information obtained from the dual cameras at the checkpoint, and compared and analyzed with the historical load data of the same type of trucks stored in a database. The database contains standard load data of various types of trucks, including historical load records of trucks of different models, different production years, and different uses. Through algorithm comparison, the difference between the actual weight limit of the truck and the average load or historical load of similar types of trucks in the database is calculated. Based on the deviation, it can be determined whether the truck exceeds the normal load range or is within the design range, and finally the checkpoint truck type load comparison deviation is obtained.

[0099] Step S24: Based on the load capacity of the truck tires, the load comparison deviation of the truck types, the width and size of the truck, a theoretical load calculation formula is used to perform a theoretical load estimation calculation on the corresponding truck to obtain a theoretical maximum load weight of the truck.

[0100] In an embodiment of the present invention, a suitable theoretical load calculation formula for trucks is formed by combining the corresponding vehicle width, vehicle size, load capacity of truck tires, wheelbase of truck tires, load comparison deviation of truck types and related parameters to perform estimated quantitative calculations, so as to perform item-by-item calculations based on known standards (such as highway transport specifications, vehicle design specifications, etc.), thereby quantitatively calculating and outputting the corresponding theoretical maximum load weight. In addition, in addition to the above calculation formula, any statistical method for estimating the theoretical load of trucks in this field can also be used to determine the theoretical maximum load weight of trucks, and finally obtain the theoretical maximum load weight of trucks.

[0101] Step S25: Compare and judge the load weight of the checkpoint truck based on the theoretical maximum load weight of the checkpoint truck. If the load weight of the checkpoint truck is less than the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint release truck; if the load weight of the checkpoint truck is greater than or equal to the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint overweight truck.

[0102] In an embodiment of the present invention, after obtaining the theoretical maximum load-bearing weight of the truck at the checkpoint, the actual load of the truck is compared with the theoretical maximum load-bearing weight. If the actual load of the truck is less than the theoretical maximum load-bearing weight, the truck is marked as an "extra-wide checkpoint released truck" and allowed to pass through the extra-wide checkpoint system. At this time, the system will send a corresponding passing signal and record the time and related data of the truck's passing. If the load of the truck is greater than or equal to the theoretical maximum load-bearing weight, the truck is marked as an "extra-wide checkpoint overweight truck" and an alarm is triggered, indicating that the truck is overweight and cannot pass through the extra-wide checkpoint. At this time, the system will automatically guide the overweight truck into a further inspection process, and will require re-evaluation or other inspections to ensure the safety and efficiency of the extra-wide checkpoint.

[0103] Furthermore, the theoretical load calculation formula of the truck in step S24 is specifically:

[0104]

[0105] In the formula, C m is the theoretical maximum load weight of the bayonet truck, k is the vehicle width corresponding to the truck, s is the vehicle size corresponding to the truck, ε is the tire load capacity of the bayonet truck, d is the wheelbase of the truck tire, δ is the load comparison deviation of the bayonet truck type, and η is the correction coefficient of the theoretical maximum load weight of the bayonet truck.

[0106] The present invention obtains a theoretical load calculation formula for trucks by using a specific mathematical model and after verification, which is used to perform theoretical estimated calculations on corresponding trucks. The theoretical load calculation formula for trucks is comprehensively calculated through multiple factors (such as vehicle width, size, tire load capacity, wheelbase, load deviation, etc.), so as to achieve accurate estimation of the theoretical maximum load weight of trucks. This theoretical estimation can help relevant personnel evaluate whether the load of trucks is reasonable in actual operation, and avoid safety hazards and damage to road facilities caused by overloading. Through reasonable evaluation of truck load, it is possible to effectively identify which trucks are in an overloaded state. For overloaded trucks, measures can be taken in advance, such as restricting traffic, adjusting transportation plans, etc., to ensure the safety of road transportation. The formula can provide a scientific basis for transportation management, help traffic management departments monitor the difference between the actual load and theoretical load capacity of trucks in real time, and through this data-driven analysis, it is possible to dynamically manage trucks, optimize traffic flow, and reduce traffic problems caused by overloading. In addition, the correction coefficient in the formula makes the theoretical load calculation formula flexible and can be adjusted according to the needs of different situations, so that the calculation results are more in line with the actual situation. This allows the formula to adapt to different application scenarios and maintain a high degree of accuracy. In summary, the formula fully considers the theoretical maximum load weight C of the bayonet truck. m , the vehicle width k corresponding to the truck, the vehicle size s corresponding to the truck, the tire load capacity ε of the bayonet truck, the wheelbase d of the truck tire, the load comparison deviation δ of the bayonet truck type, the correction coefficient η of the theoretical maximum load weight of the bayonet truck, according to the theoretical maximum load weight C of the bayonet truck m The correlation between the above parameters constitutes a functional relationship At the same time, by introducing the correction coefficient η of the theoretical maximum load-bearing weight of the bayonet truck, it can be adjusted according to the errors occurring in the calculation process, thereby improving the accuracy and applicability of the calculation formula for the theoretical load-bearing weight of the truck.

[0107] Further, step S3 includes the following steps:

[0108] Step S31: obtaining the corresponding checkpoint truck traffic flow and the checkpoint truck queuing braking distance through the traffic network of the surrounding roads corresponding to the ultra-wide main checkpoint system;

[0109] In an embodiment of the present invention, the traffic network of the surrounding roads is monitored in real time through the monitoring equipment of the ultra-wide main checkpoint system to obtain traffic flow data of the roads around the checkpoint. The data can be obtained through ground traffic sensors, video surveillance, traffic light signal control systems and other intelligent traffic system equipment. In specific implementation, the system uses the traffic monitoring system of the ultra-wide main checkpoint, laser radar, video image recognition technology or geomagnetic sensors, etc. to accurately identify the type, number and driving speed of passing trucks, and then calculate the traffic flow of trucks at the checkpoint. Then, the system further calculates the braking distance of the checkpoint truck queue in the area according to the specific conditions of the roads around the checkpoint, combined with the real-time traffic flow and the number of trucks. The braking distance refers to the safe distance and required braking distance between each vehicle and the vehicle in front when the vehicles are queued, and finally the traffic flow of trucks at the checkpoint and the braking distance of trucks in the checkpoint are obtained.

[0110] Step S32: obtaining the corresponding number of trucks at the checkpoint and the passing speed of trucks at the checkpoint through the truck traffic flow at the checkpoint, and determining the queuing time of trucks at the checkpoint by the braking distance of the queuing at the checkpoint based on the number of trucks at the checkpoint and the passing speed of trucks at the checkpoint, so as to obtain the queuing time of trucks at the checkpoint;

[0111] In an embodiment of the present invention, the number of trucks at each checkpoint is further determined based on the previously obtained truck traffic flow data at the checkpoint, and the travel speed of the trucks at each checkpoint is calculated in combination with the actual traffic flow. In order to accurately obtain the number of trucks at the checkpoint and the travel speed, the traffic data and time window are used for dynamic analysis. For example, a fixed time period (such as every 5 minutes) is set, the number of trucks is determined based on the traffic flow data, and the average speed of these trucks is calculated through ground sensors, radar or video image recognition technology. According to the number of trucks and the travel speed, the queue time of each checkpoint can be calculated based on the physical model. The queue time is determined by the number of trucks at the checkpoint and the queue braking distance. When the number of trucks at the checkpoint is large or the travel speed is slow, a longer queue time will be calculated, and finally the queue time of trucks at the checkpoint is obtained, that is, Where N is the number of trucks at the checkpoint, L is p is the pass length of the bayonet, v avg is the average speed of trucks passing through the checkpoint, d b is the braking distance required for each truck in the queuing process, λ is the traffic flow, and in addition to the above calculation formula, any statistical analysis of the queuing time in this field can also be used to determine it.

[0112] Step S33: Based on the truck traffic flow at the checkpoint and the queuing time of trucks at the checkpoint, the gate response passage adjustment is performed for the trucks released at the extra-wide checkpoint. When the truck traffic flow at the checkpoint is large and the queuing time of trucks at the checkpoint is long, the opening frequency and opening time of the corresponding gate of the extra-wide main checkpoint system are appropriately increased. Otherwise, the number of trucks allowed to pass each time the gate is opened is appropriately reduced, and a checkpoint truck gate release adjustment strategy is generated to execute the corresponding checkpoint traffic control work for non-overweight trucks.

[0113] In an embodiment of the present invention, intelligent release adjustment is performed on the gate system of the super-wide main gate according to the previously obtained truck traffic flow and queuing time data at the gate. During specific implementation, the system adopts an adaptive control algorithm to adjust the gate opening frequency and opening time in real time according to the size of the truck traffic flow at the gate and the length of the queuing time. When the truck traffic flow at the gate is large and the queuing time is long, the system will automatically increase the opening frequency of the super-wide main gate gate and extend the gate opening time, thereby improving the truck passage efficiency. If the number of trucks at the gate is small and the queuing time is short, the system will appropriately reduce the number of trucks allowed to pass each time the gate is opened to avoid waste of resources. The specific gate response adjustment will be adjusted in real time according to the traffic forecast and queuing status of each time period through the optimization algorithm, and a corresponding gate truck gate release adjustment strategy will be generated. These adjustments will be transmitted to the gate control system in real time for execution, ensuring the smooth passage of non-overweight trucks, while avoiding unnecessary blockage and delays to the passage of the super-wide gate, and finally executing the corresponding gate non-overweight truck passage control work.

[0114] Further, step S2 includes the following steps:

[0115] Step S41: Obtain the corresponding truck load and truck weight limit through the super-wide checkpoint overweight truck;

[0116] In an embodiment of the present invention, by obtaining the corresponding truck vehicle load weight and the truck vehicle limit weight, a set of accurate weighing systems can be used to cooperate with the extra-wide bayonet device to weigh the truck in real time. During operation, the extra-wide bayonet detects the load condition of the truck in real time through the weighing scale, including the composite result of the vehicle body weight and the load weight, and transmits the weighing data to the central control system using sensors and automatic identification systems. Through the on-board identification equipment, the system can automatically identify the truck's limit weight (i.e., the maximum load-bearing weight when the vehicle body is designed) and compare the two values. After the on-board system is able to obtain this data, the load weight and the limit weight are returned to the control system for the next step of processing, and finally the truck vehicle load weight and the truck vehicle limit weight are obtained.

[0117] Step S42: Calculate the difference according to the truck load and the truck weight limit to obtain the truck excess weight;

[0118] In an embodiment of the present invention, the difference is calculated based on the truck load and the truck limit weight, and the actual truck load is compared with the maximum allowable load using the calculated overweight difference. The difference is the excess weight. The difference between the load and the limit weight is calculated by a central processing unit. The calculation formula is "excess weight = actual load - limit weight". If the actual load is greater than the limit weight, the excess weight is automatically recorded, and the excess weight of the truck is finally obtained.

[0119] Step S43: Obtain the corresponding truck frame condition and truck service life through the super-wide bayonet overweight truck, and perform suspension fatigue attenuation analysis on the suspension system corresponding to the super-wide bayonet overweight truck based on the truck frame condition and truck service life to obtain the suspension fatigue attenuation coefficient of the overweight truck;

[0120] In an embodiment of the present invention, by scanning the usage of the truck frame, data on the frame (such as metal fatigue, wear, cracks, etc.) is collected and combined with the service life of the truck (recorded as vehicle maintenance information), the fatigue attenuation degree of the truck suspension system is analyzed based on this data. The fatigue attenuation analysis model is based on historical data and standardized algorithms, and considers the correlation between load weight, service life and frame condition to derive the suspension fatigue attenuation coefficient. This coefficient reflects the performance attenuation degree of the truck suspension system, and finally the suspension fatigue attenuation coefficient of the overweight truck is obtained.

[0121] Step S44: Calculate the overweight rate of the over-wide checkpoint overweight truck using the vehicle overweight rate calculation formula based on the truck vehicle load weight, the truck vehicle excess weight and the overweight truck suspension fatigue attenuation coefficient to obtain the checkpoint truck vehicle overweight rate;

[0122] In an embodiment of the present invention, a suitable vehicle overweight rate calculation formula is formed by combining the truck passing time range, time variable parameters, truck vehicle excess weight, truck vehicle load and overweight truck suspension fatigue attenuation coefficient for quantitative calculation, and an accurate overweight rate value is obtained comprehensively. This calculation result reflects the actual overloading situation of overweight trucks at ultra-wide checkpoints. In addition, in addition to the above calculation formula, any truck overweight rate calculation method in the field can also be used, such as the ratio between the real-time load of the truck vehicle and the limited weight of the truck vehicle, and finally the overweight rate of the truck vehicle at the checkpoint is obtained.

[0123] Step S45: Based on the overweight rate of the checkpoint truck, the corresponding overload guidance control processing is performed on the super-wide checkpoint overweight truck, and an overweight truck guidance control strategy is generated to execute the corresponding checkpoint overweight truck guidance control work.

[0124] In an embodiment of the present invention, overload guidance and control processing is performed on the corresponding overweight truck at the super-wide checkpoint based on the overweight rate of the checkpoint truck. This step involves comparing and judging the overweight rate of the checkpoint truck according to a preset vehicle overweight rate threshold, and taking guidance measures. In the specific implementation, the calculated truck overweight rate is first compared with the preset overweight rate threshold, and it is automatically determined whether the truck exceeds the predetermined overweight standard. If the overweight rate of the truck is greater than or equal to the threshold, the restricted traffic guidance is triggered, and the truck is guided to the restricted area and moved back to stop it from entering the super-wide checkpoint; if the overweight rate of the truck is lower than the threshold, the guidance system guides the truck to the designated overload processing area, and continues the transportation traffic control. This guidance control is prompted by road display screens, automatic guidance facilities and traffic signal systems to ensure that the truck unloads small overloads along the prescribed path, reduce damage to roads and trucks, and finally perform the corresponding checkpoint overweight truck guidance and traffic control work.

[0125] Furthermore, the vehicle overweight rate calculation formula described in step S44 is specifically:

[0126]

[0127] Where ρ is the overweight rate of trucks at the checkpoint, T is the time range for trucks to pass through, t is the time variable parameter, and W e (t) is the excess weight of the truck at time t, W c is the truck load, k f is the suspension fatigue attenuation coefficient of overweight truck.

[0128] The present invention obtains a vehicle overweight rate calculation formula by using a specific mathematical model and verifying it, which is used to calculate the overweight rate of overweight trucks at ultra-wide checkpoints. The formula fully considers the overweight rate ρ of the checkpoint truck, the time range T of the truck passing through, the time variable parameter t, and the excess weight W of the truck at time t. e (t), truck load W c , overweight truck suspension fatigue attenuation coefficient k f According to the correlation between the overweight rate of trucks at checkpoints and the above parameters, a functional relationship is formed: This formula can realize the process of calculating the overweight rate of overweight trucks with extra-wide checkpoints. The vehicle overweight rate calculation formula takes into account the change of the truck's excess weight over time and combines the fatigue attenuation factor of the suspension system. Through this comprehensive calculation, the overweight condition of the truck can be evaluated more accurately, especially in the actual transportation process, the load of the truck will change over time. The dynamic analysis of the excess weight through the formula can better reflect the overweight condition of the truck during the entire driving process, rather than just the static data at a certain moment. The time variable and integral term in the formula reflect the change of the overweight condition of the truck over time when the truck passes through the checkpoint. Through this dynamic process, the overweight condition of the vehicle at every moment during the passage can be fully evaluated, unlike the traditional static measurement method that can only reflect the overweight condition at a single moment. In this way, the total amount of overweight of the truck during the entire passage process can be calculated more accurately. The fatigue attenuation coefficient of the suspension system plays a key role in the calculation formula. The suspension system of a truck will become fatigued as the service life increases, which may affect the load-bearing capacity. By incorporating the suspension fatigue attenuation factor into the calculation formula, the impact of overweight on the vehicle suspension system can be more accurately assessed, thereby reasonably predicting the potential safety risks brought by overweight. This analysis helps to strengthen the monitoring and management of old vehicles or vehicles with poor suspension systems and improve traffic safety. The vehicle overweight rate, as a quantitative indicator for assessing the degree of overweight, can provide an accurate basis for subsequent guidance and control. The calculation results of the vehicle overweight rate of checkpoint trucks can provide traffic management departments with a clear degree of overweight, and then formulate personalized overload guidance and control measures. For example, for trucks with a high overweight rate, speed limit, diversion or adjustment of driving routes can be adopted to avoid further damage to road and bridge facilities and optimize the safety and efficiency of transportation.

[0129] Furthermore, the overweight truck guiding traffic control strategy described in step S45 is specifically to compare and judge the vehicle overweight rate of the checkpoint truck according to the preset vehicle overweight rate threshold. If the vehicle overweight rate of the checkpoint truck is greater than or equal to the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided back to restricted traffic; if the vehicle overweight rate of the checkpoint truck is less than the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided to the designated overload processing area for transport traffic control processing.

[0130] Furthermore, the present invention also provides a smart extra-wide checkpoint truck traffic control system, which is used to execute the smart extra-wide checkpoint truck traffic control method as described above, and the smart extra-wide checkpoint truck traffic control system includes:

[0131] The checkpoint truck information collection module is used to set up an ultra-wide main checkpoint system and integrate a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; use the front and side dual cameras to perform dual-camera truck information recognition on the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system to obtain the checkpoint dual-camera truck information; use the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system on the truck floor scale to obtain the checkpoint truck load weight;

[0132] The checkpoint truck load limit marking module is used to mark the corresponding trucks with load limits based on the checkpoint dual-camera truck information and the checkpoint truck load weight, so as to obtain the trucks released by the extra-wide checkpoint and the extra-wide checkpoint overweight trucks;

[0133] The checkpoint truck gate release module is used to obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint released trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate the checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work;

[0134] The checkpoint overweight truck guidance and control module is used to obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate according to the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, the corresponding super-wide checkpoint overweight truck is subjected to overload guidance and control processing, and an overweight truck guidance and passage control strategy is generated to execute the corresponding checkpoint overweight truck guidance and passage control work.

[0135] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0136] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A smart method for controlling the passage of trucks at ultra-wide checkpoints, characterized in that: The following steps are involved: Step S1: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; using the front and side dual cameras to perform dual-camera identification of truck information on the corresponding truck that is about to enter or exit the ultra-wide main bayonet system, so as to obtain bayonet dual-camera truck information; using the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main bayonet system on the truck floor scale, so as to obtain the bayonet truck load weight; Step S2: Based on the double-camera truck information and the truck load weight at the checkpoint, the corresponding truck is marked with a load limit to obtain trucks released by the extra-wide checkpoint and trucks overweight by the extra-wide checkpoint; Step S3: Obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate a checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work; Step S4: Obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate based on the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, perform overload guidance and control processing on the corresponding super-wide checkpoint overweight truck, generate an overweight truck guidance and passage control strategy, and execute the corresponding checkpoint overweight truck guidance and passage control work.

2. The intelligent super-wide checkpoint truck traffic control method according to claim 1 is characterized in that: The super-wide main checkpoint system described in step S1 is provided with two super-wide passages, one for entry and one for exit, so as to adopt double-barriers for travel.

3. The intelligent super-wide checkpoint truck traffic control method according to claim 2 is characterized in that: Step S1 includes the following steps: Step S11: by setting up an ultra-wide main bayonet system and integrating a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale on both sides of the 1-in and 1-out channel; Step S12: using the front camera to identify the basic information of the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system, so as to clearly capture the corresponding front image of the truck under different lighting conditions, and use the OCR optical recognition technology to quickly and accurately identify the corresponding license plate number and vehicle type of the truck, and obtain the basic front information of the truck at the checkpoint; Step S13: Using the side camera to identify the side information of the corresponding truck that is about to enter or exit the super-wide main checkpoint system, so as to accurately identify and measure the vehicle width, vehicle size and vehicle weight limit corresponding to the truck, and obtain the side vehicle information of the checkpoint truck; Step S14: merging the basic information of the front of the checkpoint truck and the vehicle information of the side of the checkpoint truck to obtain the checkpoint dual-camera truck information; Step S15: The corresponding truck that is about to enter or exit the super-wide main checkpoint system is weighed by the super-wide electronic floor scale to obtain the load weight of the checkpoint truck.

4. The intelligent super-wide checkpoint truck traffic control method according to claim 3 is characterized in that: Step S2 includes the following steps: Step S21: obtaining a corresponding truck structure design and a truck tire wheelbase through a corresponding truck that is about to enter or exit the ultra-wide main bayonet system; Step S22: evaluating the tire load capacity of the corresponding truck based on the truck structure design and the truck tire wheelbase to obtain the truck tire load capacity; Step S23: Compare and analyze the vehicle weight limit corresponding to the double-camera truck information at the checkpoint with the previous truck weights of the same type in the standard database to obtain a comparison deviation of the truck weights at the checkpoint; Step S24: Based on the load capacity of the truck tires, the load comparison deviation of the truck types, the width and size of the truck, a theoretical load calculation formula is used to perform a theoretical load estimation calculation on the corresponding truck to obtain a theoretical maximum load weight of the truck. Step S25: Compare and judge the load weight of the checkpoint truck based on the theoretical maximum load weight of the checkpoint truck. If the load weight of the checkpoint truck is less than the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint release truck; if the load weight of the checkpoint truck is greater than or equal to the theoretical maximum load weight of the checkpoint truck, the corresponding truck will be marked as an extra-wide checkpoint overweight truck.

5. The intelligent super-wide checkpoint truck traffic control method according to claim 4 is characterized in that: The specific calculation formula for the theoretical load of the truck described in step S24 is: In the formula, C m is the theoretical maximum load weight of the bayonet truck, k is the vehicle width corresponding to the truck, s is the vehicle size corresponding to the truck, ε is the tire load capacity of the bayonet truck, d is the wheelbase of the truck tire, δ is the load comparison deviation of the bayonet truck type, and η is the correction coefficient of the theoretical maximum load weight of the bayonet truck.

6. The intelligent super-wide checkpoint truck traffic control method according to claim 1 is characterized in that: Step S3 includes the following steps: Step S31: obtaining the corresponding checkpoint truck traffic flow and the checkpoint truck queuing braking distance through the traffic network of the surrounding roads corresponding to the ultra-wide main checkpoint system; Step S32: obtaining the corresponding number of trucks at the checkpoint and the passing speed of trucks at the checkpoint through the truck traffic flow at the checkpoint, and determining the queuing time of trucks at the checkpoint by the braking distance of the queuing at the checkpoint based on the number of trucks at the checkpoint and the passing speed of trucks at the checkpoint, so as to obtain the queuing time of trucks at the checkpoint; Step S33: Based on the truck traffic flow at the checkpoint and the queuing time of trucks at the checkpoint, the gate response passage adjustment is performed for the trucks released at the extra-wide checkpoint. When the truck traffic flow at the checkpoint is large and the queuing time of trucks at the checkpoint is long, the opening frequency and opening time of the corresponding gate of the extra-wide main checkpoint system are appropriately increased. Otherwise, the number of trucks allowed to pass each time the gate is opened is appropriately reduced, and a checkpoint truck gate release adjustment strategy is generated to execute the corresponding checkpoint traffic control work for non-overweight trucks.

7. The intelligent super-wide checkpoint truck traffic control method according to claim 1 is characterized in that: Step S2 includes the following steps: Step S41: Obtain the corresponding truck load and truck weight limit through the super-wide checkpoint overweight truck; Step S42: Calculate the difference between the truck load and the truck weight limit to obtain the truck excess weight; Step S43: Obtain the corresponding truck frame condition and truck service life through the super-wide bayonet overweight truck, and perform suspension fatigue attenuation analysis on the suspension system corresponding to the super-wide bayonet overweight truck based on the truck frame condition and truck service life to obtain the suspension fatigue attenuation coefficient of the overweight truck; Step S44: Calculate the overweight rate of the over-wide checkpoint overweight truck using the vehicle overweight rate calculation formula based on the truck vehicle load weight, the truck vehicle excess weight and the overweight truck suspension fatigue attenuation coefficient to obtain the checkpoint truck vehicle overweight rate; Step S45: Based on the overweight rate of the checkpoint truck, the corresponding overload guidance control processing is performed on the super-wide checkpoint overweight truck, and an overweight truck guidance control strategy is generated to execute the corresponding checkpoint overweight truck guidance control work.

8. The intelligent super-wide checkpoint truck traffic control method according to claim 7 is characterized in that: The vehicle overweight rate calculation formula described in step S44 is specifically: Where ρ is the overweight rate of trucks at the checkpoint, T is the time range for trucks to pass through, t is the time variable parameter, and W e (t) is the excess weight of the truck at time t, W c is the truck load, k f is the suspension fatigue attenuation coefficient of overweight truck.

9. The intelligent super-wide checkpoint truck traffic control method according to claim 7 is characterized in that: The overweight truck guiding traffic control strategy described in step S45 is specifically to compare and judge the vehicle overweight rate of the checkpoint truck according to the preset vehicle overweight rate threshold. If the vehicle overweight rate of the checkpoint truck is greater than or equal to the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided back to restricted traffic; if the vehicle overweight rate of the checkpoint truck is less than the preset vehicle overweight rate threshold, the corresponding over-wide checkpoint overweight truck will be guided to the designated overload processing area for transport traffic control processing.

10. A smart extra-wide checkpoint truck traffic control system, characterized in that: Used to execute the intelligent super-wide checkpoint truck passage control method as claimed in claim 1, the intelligent super-wide checkpoint truck passage control system comprises: The checkpoint truck information collection module is used to set up an ultra-wide main checkpoint system and integrate a set of front and side dual cameras and a 120-ton ultra-wide electronic floor scale; use the front and side dual cameras to perform dual-camera truck information recognition on the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system to obtain the checkpoint dual-camera truck information; use the ultra-wide electronic floor scale to weigh the corresponding truck that is about to enter or exit the ultra-wide main checkpoint system on the truck floor scale to obtain the checkpoint truck load weight; The checkpoint truck load limit marking module is used to mark the corresponding trucks with load limits based on the checkpoint dual-camera truck information and the checkpoint truck load weight, so as to obtain the trucks released by the extra-wide checkpoint and the extra-wide checkpoint overweight trucks; The checkpoint truck gate release module is used to obtain the corresponding checkpoint truck traffic flow and checkpoint truck queue time through the super-wide main checkpoint system, and adjust the gate response passage of the super-wide checkpoint released trucks based on the checkpoint truck traffic flow and checkpoint truck queue time, and generate the checkpoint truck gate release adjustment strategy to execute the corresponding checkpoint non-overweight truck passage control work; The checkpoint overweight truck guidance and control module is used to obtain the corresponding truck vehicle load weight and truck vehicle limit weight through the super-wide checkpoint overweight truck, and calculate the overweight rate according to the truck vehicle load weight and the truck vehicle limit weight to obtain the checkpoint truck vehicle overweight rate; based on the checkpoint truck vehicle overweight rate, the corresponding super-wide checkpoint overweight truck is subjected to overload guidance and control processing, and an overweight truck guidance and passage control strategy is generated to execute the corresponding checkpoint overweight truck guidance and passage control work.

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