Dynamic weighing assembly, method and system

Abstract

The application discloses a dynamic weighing assembly, comprising a flat plate weighing unit and a narrow strip weighing unit, and a plurality of weighing sensors are arranged in the flat plate weighing unit and the narrow strip weighing unit respectively; wherein the flat plate weighing unit is provided with a joint part and a narrow strip embedding part, the joint part is arranged along one edge of the flat plate weighing unit, and two flat plate weighing units are connected through the joint part; the narrow strip embedding part is a rectangular notch inwards along the edge where the joint part is located, and the narrow strip weighing unit is at least partially embedded with the narrow strip embedding part. Correspondingly, the application also provides a dynamic weighing system and a dynamic weighing method, which can weigh the vehicle driving in the compression gap and the vehicle driving normally more accurately.

Description

Technical Field

[0001] This application relates to the field of technology-based control of overloading, and in particular to a dynamic weighing component, method and system. Background Technology

[0002] Existing dynamic weighing products mainly include flatbed weighing units, narrow-strip weighing units, and quartz weighing units. Flatbed weighing units typically consist of four load cells, are 1-2 meters long, approximately 900 mm wide, and have a weighing area of ​​up to 800 mm. They can completely capture the tire load of a vehicle during weighing, have a long sampling time, and high detection accuracy, but their scale body has high rigidity and poor stability. Narrow-strip and quartz weighing units have sensors covering the entire casing, are 0.5-2 meters long, approximately 80 mm wide, and have a weighing area of ​​about 70 mm. They have a short sampling time, can only collect weighing data locally, and then calculate the actual vehicle weight using algorithms. In practical use, 3-6 rows of sensors are usually required, resulting in higher costs and stricter requirements for road surface smoothness.

[0003] Due to design limitations of rigid components, the width of a single dynamic weighing device is insufficient to cover the entire road. Therefore, it is usually necessary to use 2-3 dynamic weighing devices spliced ​​together. During the calculation process, inductive loops or laser separators are used to separate vehicles, and the data collected by multiple sets of sensor components are averaged to obtain the final weighing data. Under normal driving conditions, the aforementioned dynamic weighing devices and dynamic weighing modules composed of multiple parallel dynamic weighing devices can all meet the accuracy requirements of dynamic level 5. However, in existing dynamic weighing modules, there are seams between two parallel dynamic weighing devices. Some unscrupulous overloaded drivers drive their vehicles over the seams when passing through the dynamic weighing modules (hereinafter referred to as "seam driving"), causing the weighing data measured by the dynamic weighing module to be less than the actual vehicle weight, making it impossible to accurately detect overloaded vehicles. Summary of the Invention

[0004] To address the aforementioned technical problems and to accurately weigh both vehicles traveling with seams and those traveling normally, the first aspect of this application discloses a dynamic weighing component, comprising a flat weighing unit and a narrow strip weighing unit, each equipped with multiple weighing sensors. The flat weighing unit has a joint and a narrow strip fitting portion. The joint is located along one side of the flat weighing unit, and two flat weighing units are connected through the joint. The narrow strip fitting portion is a rectangular notch extending inward along the side where the joint is located, and the narrow strip weighing unit is at least partially fitted into the narrow strip fitting portion.

[0005] In the above technical solution, the flat plate weighing unit is provided with a joint, and two flat plate weighing units can be connected through the joint to form a seam. The narrow strip fitting part is provided along the edge where the joint is located and fits into the narrow strip weighing unit. Through the above technical solution, when the vehicle under test passes through the dynamic weighing component with the seam pressed, the narrow strip weighing unit can replace the flat plate weighing unit to perform the weighing, thereby improving the weighing accuracy of the vehicle under test with the seam pressed.

[0006] In one feasible implementation, the width of the narrow strip fitting portion is equal to the width of the narrow strip weighing unit, and the length of the narrow strip fitting portion is half the length of the narrow strip weighing unit. Through this technical solution, when two flat weighing units are connected, the narrow strip weighing unit can be completely fitted by the two narrow strip fitting portions, improving weighing accuracy.

[0007] In one feasible implementation, the flat plate weighing unit includes two narrow strip fitting portions that are symmetrical about the center line of the flat plate weighing unit perpendicular to the joint portion.

[0008] In one feasible implementation, the plate weighing unit has two joints, which are respectively arranged along two opposite sides of the plate weighing unit. Each side of the joint has two narrow interlocking parts. Through this technical solution, the plate weighing unit can be connected end-to-end with two other plate weighing units, enabling the dynamic weighing assembly to be used on wider roads.

[0009] The second aspect of this application discloses a dynamic weighing method, including:

[0010] S1. Collect the vehicle axle type, vehicle speed and dynamic weighing data of the vehicle to be tested, wherein the dynamic weighing data is measured by the dynamic weighing component mentioned above.

[0011] S2. Detect whether the vehicle under test is driving through the gap. In response to the vehicle driving through the gap, the dynamic weighing data measured by the narrow strip weighing unit is used as the valid dynamic weighing data. Otherwise, the dynamic weighing data measured by the flat plate weighing unit is used as the valid dynamic weighing data.

[0012] S3. The vehicle axle type, speed and effective dynamic weighing data of the vehicle under test are analyzed and calculated using a dynamic weighing model to obtain the actual weight of the vehicle under test.

[0013] The above technical solution selects different dynamic weighing data as effective weighing data based on whether the vehicle is driving through seams. Then, the effective dynamic weighing data is used as the basis for calculating the actual vehicle weight, which has high weighing accuracy.

[0014] In one feasible implementation, the operation to detect whether the vehicle under test is driving through the gaps is as follows: in response to the largest dynamic weighing data coming from the narrow strip weighing unit, the gap-crossing pattern of the vehicle under test is determined. When the vehicle under test drives over the dynamic weighing assembly, the dynamic weighing data measured by each weighing sensor in the dynamic weighing assembly are different. Among them, the dynamic weighing data measured by the weighing sensor at the position of positive tire pressure is the largest. Therefore, the dynamic weighing data with the largest value can be used to determine whether the vehicle under test is driving through the gaps.

[0015] In a feasible implementation, the operation of establishing a dynamic weighing model is as follows:

[0016] S401. Collect and build a database of vehicle axle type, vehicle speed, dynamic weighing data, whether the vehicle under test is driving with the seams pressed, and actual vehicle weight for multiple test vehicles to obtain a dynamic weighing database.

[0017] S402. Based on the source of the effective dynamic weighing data of the test vehicles, the test vehicles are divided into narrow-strip weighing groups and flat-plate weighing groups. Then, deep learning algorithms are used to analyze the relationship between the vehicle axle type, vehicle speed, effective dynamic weighing data and actual vehicle weight of the narrow-strip weighing group and the flat-plate weighing group, respectively, to obtain the narrow-strip weighing integral algorithm and the flat-plate weighing integral algorithm.

[0018] In the above technical solution, data collection and model building are carried out for both the case of vehicle driving with and without seams.

[0019] In a feasible implementation, the specific operation of S3 is as follows: in response to the effective dynamic weighing data being the dynamic weighing data measured by the plate weighing unit, the vehicle axle type, vehicle speed and effective dynamic weighing data of the vehicle under test are calculated by the plate weighing integral algorithm to obtain the actual vehicle weight of the vehicle under test.

[0020] Alternatively, in response to the effective dynamic weighing data being the dynamic weighing data measured by the narrow strip weighing unit, the vehicle axle type, vehicle speed, and effective dynamic weighing data of the vehicle under test are calculated using the narrow strip weighing integration algorithm to obtain the actual vehicle weight of the vehicle under test.

[0021] The above technical solution uses a narrow strip weighing integral algorithm to calculate the weight of vehicles traveling with seams, and a flat plate weighing integral algorithm to calculate the weight of vehicles traveling without seams, which has high weighing accuracy.

[0022] In a feasible implementation, the dynamic weighing method also includes the following steps:

[0023] S5. Compare the vehicle axle type, speed, dynamic weighing data, whether the vehicle is driving with gaps, and actual weight of the vehicle under test with the data in the dynamic weighing database. If the error of the actual weight of the vehicle under test exceeds the dynamic level 5 range, then the error of the actual weight of the vehicle under test will be corrected.

[0024] By correcting the calculated actual vehicle weight for errors, the accuracy of weighing can be further improved.

[0025] Furthermore, a third aspect of this application discloses a dynamic weighing system, comprising:

[0026] The driving status recognition module is configured to collect vehicle axle type, vehicle speed and dynamic weighing data of the vehicle under test, wherein the dynamic weighing data is measured by the aforementioned dynamic weighing component.

[0027] The weighing data selection module is configured to detect whether the vehicle under test is driving through the seam. In response to the vehicle driving through the seam, the dynamic weighing data measured by the narrow strip weighing unit is used as the valid dynamic weighing data; otherwise, the dynamic weighing data measured by the flat plate weighing unit is used as the valid dynamic weighing data.

[0028] The actual vehicle weight calculation module is configured to analyze and calculate the vehicle axle type, vehicle speed, and effective dynamic weighing data of the vehicle under test using a dynamic weighing model, so as to obtain the actual vehicle weight of the vehicle under test.

[0029] The aforementioned dynamic weighing system measures multiple sets of dynamic weighing data using dynamic weighing components. Then, by selecting the valid dynamic weighing data and calculating the actual vehicle weight using a dynamic weighing model, it can obtain the weight of the vehicle under test relatively accurately, thereby determining whether the vehicle under test is overweight. Attached Figure Description

[0030] Figure 1 This is a schematic diagram of a dynamic weighing system provided in one embodiment of this application;

[0031] Figure 2 This is a schematic diagram of the structure of a dynamic weighing component provided in one embodiment of this application;

[0032] Figure 3 This is a schematic diagram of the structure of a dynamic weighing assembly with three flat plate weighing units, which is one possible implementation of this application.

[0033] Figure 4 This is a schematic diagram of the structure of a dynamic weighing component provided by one possible implementation of the present application, which has a narrow strip fitting part along the edge where each joint is located;

[0034] Figure 5This is a schematic diagram of a dynamic weighing component with three narrow strip fittings along the edge where each joint is located, provided as one possible implementation of this application.

[0035] Figure 6 This is a schematic diagram of the process of summarizing, building a database, and analyzing vehicle data and actual vehicle weight in a dynamic weighing method provided in one embodiment of this application;

[0036] Figure 7 This is a schematic diagram illustrating the process of dynamically weighing a vehicle under test and obtaining the actual vehicle weight through a dynamic weighing model and a dynamic weighing database in a dynamic weighing method provided in one embodiment of this application.

[0037] The meanings of the numbers in the diagram are as follows: 1-Driving status recognition module, 2-Weighing data selection module, 3-Actual vehicle weight calculation module, 4-Correction compensation module, 5-Information notification module, 6-Plate weighing unit, 601-Narrow strip fitting part, 602-Joint part, 7-Seam, 8-Narrow strip weighing unit. Detailed Implementation

[0038] To make the above-mentioned objectives, features, and advantages of this application more apparent and understandable, the specific embodiments of this application are described in detail below with reference to the accompanying drawings. Many specific details are set forth in the following description to provide a thorough understanding of this application. However, this application can be implemented in many other ways different from those described herein, and those skilled in the art can make similar modifications without departing from the spirit of this application. Therefore, this application is not limited to the specific embodiments disclosed below.

[0039] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the specification of this application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0040] like Figure 1 As shown in the figure, this embodiment discloses a dynamic weighing system, including a driving status recognition module, a weighing data selection module, an actual vehicle weight calculation module, a correction and compensation module, and an information notification module.

[0041] Among the above modules, the driving status recognition module is configured to collect the vehicle type, axle type, speed and dynamic weighing data of the vehicle under test and the test vehicle (hereinafter collectively referred to as the vehicle), wherein the dynamic weighing data is measured by the dynamic weighing component.

[0042] Specifically, the driving status recognition module is communicatively connected to the inductive loop, radar speedometer, vehicle axle type recognition device, and dynamic weighing component. The inductive loop can sense whether a vehicle enters or leaves the measurement area. When the inductive loop senses that a vehicle has entered the measurement area, the driving status recognition module controls the radar speedometer to detect the vehicle's speed, the vehicle axle type recognition device to measure the vehicle's axle type, and the dynamic weighing component to measure the vehicle's dynamic weighing data.

[0043] In this embodiment, as Figure 2 As shown, the dynamic weighing assembly includes two flat weighing units 6 and two narrow strip weighing units 8. Each flat weighing unit 6 and narrow strip weighing unit 8 is equipped with multiple weighing sensors, which can measure different dynamic weighing data at multiple points on the flat weighing unit 6 and narrow strip weighing unit 8. The flat weighing unit 6 is provided with a joint 602, and the two flat weighing units 6 are joined together through the joint 602 to form a seam 7. Each flat weighing unit 6 has two narrow strip fitting parts 601 formed on the side where the joint 602 is located. The two narrow strip fitting parts 601 are symmetrical along the perpendicular bisector of the side where the joint 602 is located. Since the two flat units have the same structure in this embodiment, the symmetrical narrow strip fitting parts 601 can ensure that when one flat weighing unit 6 is rotated 180° and joined with the other flat weighing unit 6, the narrow strip fitting parts 601 on the two flat weighing units 6 can fit together to accommodate the narrow strip weighing unit 8. Furthermore, in this application, the width of the narrow strip fitting portion 601 is the same as that of the narrow strip weighing unit 8, and the length of the narrow strip fitting portion 601 is half that of the narrow strip weighing unit 8. Two opposing narrow strip fitting portions 601 can just accommodate one narrow strip weighing unit 8, making the structure of the dynamic weighing component compact and the measurement more accurate.

[0044] Other possible implementation methods, depending on the actual road paving needs, such as Figure 3 As shown, multiple flat weighing units 6 can be set up and connected in pairs. The flat weighing unit 6 located in the middle can have multiple joints 602 and multiple narrow strip fitting parts 601; along the edge where each joint 602 is located, such as Figure 4 and Figure 5 As shown, one or more narrow strip fitting portions 601 can also be provided.

[0045] Furthermore, while a radar speedometer is used for vehicle speed testing in this embodiment, vehicle speed can also be collected through other means, including but not limited to cameras or inductive loop detectors, in other possible implementations. In this embodiment, the vehicle axle shape recognition device operates on the principle of lidar recognition; however, image recognition can also be performed using a camera in other possible implementations.

[0046] Among the modules described above, the weighing data selection module is configured to detect whether the vehicle is driving with its tires pressed against the seams. In response to this, the dynamic weighing data measured by the narrow strip weighing unit is used as the valid dynamic weighing data; otherwise, the dynamic weighing data measured by the flat plate weighing unit is used. The point with the largest dynamic weighing data indicates the position of the vehicle's positive tire pressure. Therefore, the dynamic weighing data can be used to determine whether the vehicle is driving with its tires pressed against the seams. The weighing data selection module first determines whether the vehicle is driving with its tires pressed against the seams, and then selects the corresponding dynamic weighing data as the valid dynamic weighing data, thus improving weighing accuracy.

[0047] Among the aforementioned modules, the data modeling module is configured to aggregate and build a database of vehicle axle type, speed, dynamic weighing data, whether the vehicle under test is driving with seams, and actual vehicle weight from multiple sets of test vehicles, resulting in a dynamic weighing database. Then, based on the source of the valid dynamic weighing data, the test vehicles are divided into narrow-strip weighing groups and flat-plate weighing groups. Subsequently, deep learning algorithms are used to analyze the relationship between vehicle axle type, speed, valid dynamic weighing data, and actual vehicle weight for both the narrow-strip weighing group and the flat-plate weighing group, respectively, to derive the narrow-strip weighing integral algorithm and the flat-plate weighing integral algorithm.

[0048] In the aforementioned modules, the actual vehicle weight calculation module is configured to analyze and calculate the vehicle axle type, speed, and effective dynamic weighing data of the vehicle under test using a dynamic weighing model to obtain the actual vehicle weight. In this embodiment, since the data modeling module groups the test vehicles based on whether they are driven through seams, the flatbed weighing integral algorithm is used for the vehicle under test whose effective dynamic weighing data is measured by the flatbed weighing unit, and the narrow-strip weighing integral algorithm is used for the vehicle under test whose effective dynamic weighing data is measured by the narrow-strip weighing unit. This embodiment further improves weighing accuracy by using the data modeling module and the actual vehicle weight calculation module in conjunction to perform grouped analysis and calculation of the test vehicles and the vehicles under test.

[0049] Among the above modules, the correction and compensation module is configured to compare the actual weight of the vehicle under test with the test vehicle data in the dynamic weighing database, based on the vehicle axle type and speed of the vehicle under test. If the error exceeds the dynamic level 5 range, the actual weight of the vehicle under test will be corrected and compensated.

[0050] Among the above modules, the information notification module pushes the actual vehicle weight calculated by the actual weighing calculation module or the actual vehicle weight corrected by the correction and compensation module to the driver via LED display and SMS.

[0051] The dynamic weighing method is described below. Before deploying the dynamic weighing system on the vehicle under test, it is necessary to first compile and analyze the vehicle data and actual weight through testing the vehicle, such as... Figure 6As shown, the specific steps are as follows:

[0052] S401. Collect and build a database of vehicle axle type, vehicle speed, dynamic weighing data, whether the vehicle under test is driving with the seams pressed, and actual vehicle weight for multiple test vehicles to obtain a dynamic weighing database.

[0053] S402. Based on the source of the effective dynamic weighing data of the test vehicles, the test vehicles are divided into narrow-strip weighing groups and flat-plate weighing groups. Then, deep learning algorithms are used to analyze the relationship between the vehicle axle type, vehicle speed, effective dynamic weighing data and actual vehicle weight of the narrow-strip weighing group and the flat-plate weighing group, respectively, to obtain the narrow-strip weighing integral algorithm and the flat-plate weighing integral algorithm.

[0054] Next, the vehicle under test is dynamically weighed, and the actual vehicle weight is obtained through the dynamic weighing model and dynamic weighing database, such as... Figure 7 As shown, the specific steps are as follows:

[0055] S1. Collect vehicle axle type, speed and dynamic weighing data of the vehicle to be tested.

[0056] Specifically, in this embodiment, when the inductive loop senses the vehicle under test passing by, the vehicle axle type identification device, radar speedometer, and dynamic weighing component are activated to collect the vehicle axle type, vehicle speed, and dynamic weighing data of the vehicle under test, respectively.

[0057] S2. Detect whether the vehicle under test is driving through the gap. In response to the vehicle driving through the gap, the dynamic weighing data measured by the narrow strip weighing unit is used as the valid dynamic weighing data. Otherwise, the dynamic weighing data measured by the flat plate weighing unit is used as the valid dynamic weighing data.

[0058] Specifically, in this embodiment, by comparing the dynamic weighing data measured by each sensor in the dynamic weighing component, if the largest dynamic weighing data comes from the narrow strip weighing unit, it is determined that the vehicle is driving through the gap, and the dynamic weighing data measured by the narrow strip weighing unit is taken as the valid dynamic weighing data; if the largest dynamic weighing data comes from the flat plate weighing unit, it is determined that the vehicle is not driving through the gap, and the dynamic weighing data measured by the flat plate weighing unit is taken as the valid dynamic weighing data.

[0059] S3. Using the dynamic weighing model obtained in S402, analyze and calculate the vehicle axle type, vehicle speed, and effective dynamic weighing data of the vehicle under test to obtain the actual weight of the vehicle under test.

[0060] S5. Compare the vehicle axle type, speed, dynamic weighing data, whether the vehicle is driving with gaps, and actual weight of the vehicle under test with the data in the dynamic weighing database. If the error of the actual weight of the vehicle under test exceeds the dynamic level 5 range, then the error of the actual weight of the vehicle under test will be corrected.

[0061] In summary, this embodiment provides a dynamic weighing component, which is obtained by modifying and combining a flat plate weighing unit and a narrow strip weighing unit. It can perform relatively accurate dynamic weighing of the vehicle under test in both normal driving and cross-line driving states. Furthermore, this embodiment also discloses a dynamic weighing system including the above-mentioned dynamic weighing component and a dynamic weighing method using the dynamic weighing component to acquire dynamic weighing data. By performing calculations and error corrections for normal driving and cross-line driving respectively, the actual weight of the vehicle under test is obtained with high accuracy.

[0062] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0063] The above embodiments merely illustrate several implementation methods of this application, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the invention patent. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this patent application should be determined by the appended claims.

Claims

1. A dynamic weighing method, characterized in that, include: S1. Collect vehicle axle type, vehicle speed, and dynamic weighing data of the vehicle under test. The dynamic weighing data is measured by a dynamic weighing component, which includes a flat plate weighing unit and a narrow strip weighing unit. Multiple weighing sensors are respectively installed in the flat plate weighing unit and the narrow strip weighing unit. The flat plate weighing unit has a joint and a narrow strip fitting portion. The joint is located along one side of the flat plate weighing unit, and two flat plate weighing units are connected through the joint. The narrow strip fitting portion is a rectangular notch extending inward along the side where the joint is located, and the narrow strip weighing unit is at least partially fitted into the narrow strip fitting portion. S2. Detect whether the vehicle under test is driving through the seam. In response to the vehicle driving through the seam, use the dynamic weighing data measured by the narrow strip weighing unit as the valid dynamic weighing data. Otherwise, use the dynamic weighing data measured by the flat plate weighing unit as the valid dynamic weighing data. The operation of detecting whether the vehicle under test is driving with the seam pressed is as follows: in response to the dynamic weighing data with the largest value coming from the narrow strip weighing unit, the seam pressing form of the vehicle under test is determined. S3. Analyze and calculate the vehicle axle type, vehicle speed and effective dynamic weighing data of the vehicle under test using a dynamic weighing model to obtain the actual weight of the vehicle under test.

2. The dynamic weighing method according to claim 1, characterized in that, The width of the narrow strip fitting portion is equal to the width of the narrow strip weighing unit, and the length of the narrow strip fitting portion is half the length of the narrow strip weighing unit.

3. The dynamic weighing method according to claim 1 or 2, characterized in that, The flat plate weighing unit includes two narrow strip fitting parts, which are symmetrical about the center line of the flat plate weighing unit perpendicular to the joint.

4. The dynamic weighing method according to claim 1 or 2, characterized in that, The flat plate weighing unit is provided with two joints, which are respectively arranged along two opposite sides of the flat plate weighing unit. Each side of the joint is provided with two narrow strip fitting parts.

5. The dynamic weighing method according to claim 1, characterized in that, The operation to establish the dynamic weighing model is as follows: S401. The axle type, speed, dynamic weighing data, whether the vehicle under test is driving with the seams pressed, and actual weight of multiple test vehicles are summarized and stored to obtain a dynamic weighing database. S402. Based on the source of the effective dynamic weighing data of the test vehicle, the test vehicle is divided into a narrow-strip weighing group and a flat-plate weighing group. Then, a deep learning algorithm is used to analyze the relationship between the vehicle axle shape, vehicle speed, effective dynamic weighing data and actual vehicle weight of the narrow-strip weighing group and the flat-plate weighing group, respectively, to obtain the narrow-strip weighing integral algorithm and the flat-plate weighing integral algorithm.

6. The dynamic weighing method according to claim 1, characterized in that, The specific operation of S3 is as follows: In response to the effective dynamic weighing data being the dynamic weighing data measured by the flat plate weighing unit, the vehicle axle type, vehicle speed, and effective dynamic weighing data of the vehicle under test are calculated using the flat plate weighing integral algorithm to obtain the actual vehicle weight of the vehicle under test. Alternatively, in response to the effective dynamic weighing data being the dynamic weighing data measured by the narrow strip weighing unit, the vehicle axle type, vehicle speed, and effective dynamic weighing data of the vehicle under test are calculated using a narrow strip weighing integration algorithm to obtain the actual vehicle weight of the vehicle under test.

7. The dynamic weighing method according to claim 1, characterized in that, It also includes the following steps: S5. Compare the vehicle axle type, vehicle speed, dynamic weighing data, whether the vehicle under test is driving with gaps, and actual vehicle weight of the vehicle under test with the data in the dynamic weighing database. If the error of the actual vehicle weight of the vehicle under test exceeds the dynamic level 5 range, then the error correction is performed on the actual vehicle weight of the vehicle under test.

8. A dynamic weighing system, characterized in that, include: A driving status recognition module is configured to collect vehicle axle type, vehicle speed and dynamic weighing data of the vehicle under test, wherein the dynamic weighing data is measured by the dynamic weighing component in the dynamic weighing method according to any one of claims 1-4. The weighing data selection module is configured to detect whether the vehicle under test is driving through the seam. In response to the vehicle driving through the seam, the dynamic weighing data measured by the narrow strip weighing unit is used as the valid dynamic weighing data; otherwise, the dynamic weighing data measured by the flat plate weighing unit is used as the valid dynamic weighing data. The actual vehicle weight calculation module is configured to analyze and calculate the vehicle axle type, vehicle speed, and effective dynamic weighing data of the vehicle under test using a dynamic weighing model to obtain the actual vehicle weight of the vehicle under test.

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