Visual wheel-by-wheel weighing wagon balance and weighing method thereof

Abstract

The invention relates to the technical field of weighing weighbridges, in particular to a visual wheel-by-wheel weighing weighbridge and a weighing method thereof. The system comprises two weighing wagon balances, a formwork, a device for regularly collecting data, a GPS / Beidou central control vehicle-mounted instrument, a data platform, a weighing image display screen and a camera. The device for regularly collecting data collects output signals of the two weighing wagon balances one by one in a time-sharing mode, the output signals are transmitted to the data platform through the GPS / Beidou central control vehicle-mounted instrument to be processed, and a time-wheel pressure signal curve of each wheel is recorded. The effects that the size of weighing wagon balance equipment is remarkably reduced, the installation, verification and maintenance cost of the weighing wagon balance is reduced, the weighing time is dynamically calculated through the wheel pressure signal curve, the detection efficiency and precision requirements are balanced, the weighing time is further saved, the weighing efficiency is improved, and wheel-by-wheel weight statistics and shaft unbalance loading rate calculation are synchronously achieved are achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of scaleable weighbridge, and particularly to a visual wheel-by-wheel scaleable weighbridge and a weighing method thereof. BACKGROUND

[0002] In the technical field of traditional weighbridge, the whole vehicle weighing scheme in the prior art needs to adapt to the vehicle body length, the number of axles and the load difference of different vehicles, resulting in a large structure of the weighbridge, high installation cost, high calibration and maintenance cost caused by deep groove installation, too low static weighing efficiency, and only outputting the total weight of the whole vehicle, which cannot obtain wheel level data, resulting in that the vehicle unbalanced load and axle overload risk cannot be prewarned, the weighing data is disconnected with the vehicle identity, time and space information, and it is difficult to trace the cheating behavior, forming the technical bottleneck of coexistence of high cost, low efficiency, single function and safety monitoring blind area. The traditional weighbridge only measures the static weight and does not involve the time parameter; to improve the measurement efficiency, the time factor and the weighing speed are involved. SUMMARY

[0003] The present application provides a visual wheel-by-wheel scaleable weighbridge and a weighing method thereof to solve the problems in the prior art, significantly reduce the volume of the scaleable weighbridge, reduce the installation, calibration and maintenance cost of the scaleable weighbridge, dynamically calculate the weighing time by using the wheel pressure signal curve to balance the detection efficiency and accuracy demand, further save the weighing time, improve the weighing efficiency, and simultaneously realize the effects of wheel-by-wheel weight statistics and axle unbalanced load rate calculation.

[0004] To achieve the above purpose, the technical scheme adopted by the present application is as follows: two scaleable weighbridges, a mold frame, a device for collecting data at regular intervals, a GPS / Beidou central control vehicle-mounted instrument, a data platform, a weighing image display screen and a camera; the two scaleable weighbridges each with a scaleable signal output are arranged in the frames of two parallel mold frames, the scaleable weighbridges and the mold frame are arranged in a pit, the scaleable platform of the scaleable weighbridge is adapted to the position of the left and right tires of each axle of the vehicle; the two scaleable weighbridges are respectively connected with the GPS / Beidou central control vehicle-mounted instrument and the data platform through the device for collecting data at regular intervals; the weighing image display screen and the camera are arranged on one side of the scaleable weighbridge and correspondingly capture and display the tire weighing speed and the weighing time; the device for collecting data at regular intervals collects the output signals of the two scaleable weighbridges one by one, and the output signals are transmitted to the data platform through the GPS / Beidou central control vehicle-mounted instrument for processing and recording the time-wheel pressure signal curve of each wheel. That is, the left weighbridge measures each wheel pressure on the left side of the vehicle one by one, and the right weighbridge measures each wheel pressure on the right side of the vehicle one by one.

[0005] Further, a license plate recognition component is arranged on one side of the scale platform, and the license plate recognition component is connected with the GPS / Beidou central control vehicle-mounted instrument through a signal line and connected with the data platform through wireless mode.

[0006] Further, the scale platform of the scale platform is on the same horizontal plane with the ground surface and the upper surface of the mold frame, and is adapted to the passing position of the left and right tires of each axle of the vehicle.

[0007] Further, the scale sensor of the scale platform is supported by the extended bottom surface arranged at the four corners of the bottom of the mold frame.

[0008] Further, the output signals of the scale sensors of the two scale platforms are respectively connected with two input ports of the timing data acquisition device through signal lines.

[0009] Further, the two scale platforms are both 5T scale platforms.

[0010] Further, the timing data acquisition device is connected with the GPS / Beidou central control vehicle-mounted instrument through a signal line through a communication port, and the GPS / Beidou central control vehicle-mounted instrument is connected with the data platform through wireless mode.

[0011] Further, the two mold frames are connected and fixed through a channel steel.

[0012] A visible wheel-by-wheel scale platform weighing method, the vehicle is guided to two parallel arranged scale platforms, and the left and right tires of each axle are respectively aligned with the scale platforms of the two scale platforms to ensure that the tires completely cover the weighing area.

[0013] The license plate recognition component collects the vehicle identity information and transmits the information to the GPS / Beidou central control vehicle-mounted instrument and the data platform to establish a binding relationship between the vehicle identity and the weighing data.

[0014] The timing data acquisition device acquires the output signals of the two scale platforms in time division mode, and records the time-tire pressure signal curve of each wheel in real time; the signal curve is transmitted to the GPS / Beidou central control vehicle-mounted instrument and the data platform.

[0015] The weighing image display screen synchronously displays the real-time picture of the tire weighing taken by the camera to assist the driver in controlling the weighing speed.

[0016] The data platform calculates the actual weighing time according to the duration of the time-tire pressure signal curve and feeds back to the GPS / Beidou central control vehicle-mounted instrument.

[0017] The data platform respectively accumulates the wheel pressure values of the same axle left and right wheels to obtain the axle load, which is an important indicator of traffic safety; respectively accumulates the wheel pressure of the left and right wheels of the vehicle, and the difference can calculate the load deviation rate of the vehicle; accumulates all wheel pressure values to obtain the total vehicle weight. The size of the weighbridge is certain, and the weighing time can be obtained from the time-wheel pressure signal curve. The weighing time is divided by the width of the weighbridge to obtain the vehicle speed.

[0018] The data platform performs tire pressure state diagnosis.

[0019] The trapezoidal characteristics of the wheel pressure signal curve are analyzed, and the left waist line slope α and the right waist line slope β are extracted.

[0020] If α or β is lower than the preset slope threshold, it is determined that the tire pressure of the corresponding tire is insufficient.

[0021] Generate a tire pressure abnormality report and associate it with vehicle identity information.

[0022] The data platform stores data by time and vehicle classification, and supports users to remotely call wheel pressure curves, load deviation reports, and total vehicle weight statistical reports, and report tire pressure abnormality.

[0023] The device comprises two scale weighbridges, a jig, a timing data acquisition device, a GPS / Beidou central control vehicle instrument, a data platform, a weighing image display screen, and a camera. The two scale weighbridges with scale signal outputs are arranged in the frames of two parallel jigs, the scale weighbridges and the jigs are arranged in the pits, the scale surfaces of the scale weighbridges are adapted to the positions of the left and right tires of each axle of the vehicle, the two scale weighbridges are respectively connected with the GPS / Beidou central control vehicle instrument and the data platform through the timing data acquisition device, the weighing image display screen and the camera are arranged on one side of the scale weighbridges and correspondingly capture and display the tire weighing speed and time, the timing data acquisition device acquires the output signals of the two scale weighbridges one by one, the output signals are transmitted to the data platform through the GPS / Beidou central control vehicle instrument for processing, and the time of each wheel weighing and the structure of the wheel pressure signal curve are recorded respectively. The structure and use method of the device can significantly reduce the size of the scale weighbridge, reduce the installation, calibration, and maintenance costs of the scale weighbridge, dynamically calculate the weighing time by using the wheel pressure signal curve to balance the detection efficiency and accuracy requirements, further save the weighing time, improve the weighing efficiency, and simultaneously realize the effects of wheel-by-wheel weight statistics and axle load deviation rate calculation. BRIEF DESCRIPTION OF DRAWINGS

[0024] In order to make the technical solutions in the embodiments of the present application or the prior art clearer, the accompanying drawings needed in the embodiments or prior art description will be briefly introduced below. Obviously, the accompanying drawings in the following description only represent some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort on the basis of these drawings.

[0025] Figure 1 is a schematic view of a visual wheel-by-wheel weighing truck scale of the present application;

[0026] Figure 2 is a schematic view of a weighing truck scale and a mold frame of the present application;

[0027] Figure 3 is a schematic view of a time-wheel pressure signal curve of the present application

[0028] Figure 4 is a schematic view of signal transmission of the present application;

[0029] Figure 5 is a schematic view of a weighing method of the present application;

[0030] Reference signs:

[0031] The weighing truck scale 1, the mold frame 2, the device 3 for timing data acquisition, the GPS / Beidou central control vehicle-mounted instrument 4, the data platform 5, the weighing image display screen 6, the camera 7, and the license plate recognition component 8. DETAILED DESCRIPTION

[0032] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments only represent some embodiments of the present application, rather than all the embodiments.

[0033] In the description of the present application, it should be noted that the orientation or position relationship indicated by "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like is based on the orientation or position relationship shown in the drawings, and is only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0034] A visual wheel-by-wheel weighing truck scale, such as Figures 1-4As shown, the system includes two weighbridges 1, a frame 2, a device for timed data acquisition 3, a GPS / BeiDou central control vehicle-mounted instrument 4, a data platform 5, a weighing image display screen 6, and a camera 7. The two weighbridges 1, each with a weighing signal output, are respectively arranged within the frames of two parallel frames 2. The weighbridges 1 and the frames 2 are set in a recess, and the weighing platform of the weighbridge 1 is adapted to the position of the left and right tires of each axle of the vehicle. The two weighbridges 1 respectively acquire data through the timed data acquisition mechanism. The device 3 is connected to the GPS / BeiDou central control vehicle device 4 and the data platform 5 via signal; the weighing image display screen 6 and the camera 7 are set on one side of the weighbridge 1, and correspondingly capture and display the tire weighing speed and weighing time; the device 3 that collects data at regular intervals collects the output signals of the two weighbridges 1 one by one in a time-division manner, and the output signals are transmitted to the data platform 5 via the GPS / BeiDou central control vehicle device 4 for processing and recording the time-wheel pressure signal curve of each wheel respectively.

[0035] Specifically, by using two parallel weighbridges 1 to precisely align with the left and right tire positions of each axle of the vehicle, and combining this with the recessed installation of the mold frame 2 to make the weighing platform flush with the ground, the structural height of the equipment is significantly reduced and the problem of the bulky size of traditional weighbridges is solved. In traditional solutions, the cost of installation, calibration, and maintenance of weighbridges with a capacity of hundreds of tons is between 700,000 and 800,000 yuan; in this solution, the cost of installation, calibration, and maintenance of the weighbridges can be as low as tens of thousands of yuan, thus further saving costs. The data acquisition device 3 collects the output signals of the two weighbridges 1 at regular intervals, realizing independent recording of the wheel pressure signal curve and weighing timestamp for each wheel, overcoming the limitation of traditional whole vehicle weighing that cannot obtain wheel-level data. Based on the wheel pressure signal curve, the axle load ratio is calculated in real time by summing all wheel weight values ​​through the difference in left and right wheel pressure to output the total weight; the weighing image display screen 6 and camera 7 work together to provide real-time tire weighing images, and the driver controls the vehicle speed through visual feedback; the GPS / Beidou central control vehicle device 4 binds spatiotemporal information and wheel pressure data to ensure traceability reliability; the data platform 5 saves various data on a daily, weekly, and hourly basis for use by different data users, further improving their overall user experience; the specific time interval for timed data collection is adapted and adjusted within a few milliseconds to tens of milliseconds according to the measurement accuracy requirements, and is initially set to collect data once every 10ms.

[0036] As a preferred embodiment of the above, such as Figures 1-4 As shown, it also includes a license plate recognition component 8, which is located on one side of the weighbridge 1. The license plate recognition component 8 is connected to the GPS / Beidou central control vehicle device 4 via a signal line, and the license plate recognition component 8 is connected to the data platform 5 wirelessly.

[0037] Specifically, by setting on one side of the scale weighbridge 1, the license plate information is automatically captured when the vehicle is weighed, and is transmitted in real time to the GPS / Beidou central control vehicle instrument 4 through the signal line, and then synchronized to the data platform 5 by wireless. This design first realizes the automatic binding of vehicle identity information, wheel pressure signal curve and weighing time stamp, and completely eliminates the matching error risk caused by manual recording of license plates. The intervention of the license plate recognition component 8 makes the off-load report, tire pressure diagnosis results and vehicle weight data generated by the data platform 5 accurately associated with the specific vehicle, providing identity verification basis for subsequent responsibility tracing and data analysis. At the same time, the hard-wired connection of the component and the vehicle instrument 4 ensures the real-time and anti-interference of identity information transmission, avoiding the problem of identity disassociation caused by loss of wireless signal. The overall strengthens the integrity and traceability of test data, and solves the efficiency bottleneck of traditional weighbridge that requires manual input of vehicle information.

[0038] As a preferred embodiment of the above, as shown in Figures 1-4 The weighing surface of the scale weighbridge 1 and the upper surface of the mold frame 2 are on the same horizontal plane and are adapted to the passing position of the left and right tires of each axle of the vehicle.

[0039] Specifically, by strictly maintaining the same horizontal plane of the weighing surface of the scale weighbridge 1, the upper surface of the mold frame 2 and the ground, eliminating the convex structure of the surface of the traditional weighbridge, and combining horizontal layout with recess embedded installation, the height difference impact when the tire passes through the weighing surface is realized, avoiding the weighing data fluctuation caused by vehicle jumping; the width of the weighing surface is accurately matched with the distance between the left and right tires of each axle of the vehicle, ensuring synchronous acquisition of left and right wheel pressure signals without omission; the mold frame 2 uniformly disperses the load of the scale weighbridge 1, reducing the structural damage of the sensor caused by vehicle impact. Thus, the precision distortion and equipment wear caused by the convex surface of the traditional weighbridge are solved, providing a basic guarantee for stable acquisition of the wheel pressure signal curve.

[0040] As a preferred embodiment of the above, as shown in Figures 1-4 The weighing sensor of the scale weighbridge 1 is supported by the extended bottom surface provided at the four corners of the bottom of the mold frame 2.

[0041] Specifically, the weighing sensor of the scale weighbridge 1 is directly supported by the extended bottom surface provided at the four corners of the bottom of the mold frame 2, forming a rigid distributed bearing structure. The extended bottom surface uniformly transmits the sensor load to the recessed foundation, completely eliminating the risk of sensor zero drift or measurement distortion caused by local stress concentration. This support method cooperates with the recess embedded installation of the mold frame 2 to effectively suppress the lateral impact moment when the vehicle is weighed while maintaining the weighing surface of the scale weighbridge 1 flush with the ground, ensuring the stability and repeatability of the wheel pressure signal curve. The overall improves the data acquisition reliability from the root of mechanical bearing, solving the technical defects of short service life and rapid precision decay of the sensor of the traditional weighbridge caused by uneven support.

[0042] As a preferred embodiment of the above, as shown in Figures 1-4 The output signals of the weight sensors of the two said scale weighbridges 1 are respectively connected to the two input ports of the said timing data acquisition device 3 through signal lines.

[0043] Specifically, by connecting the output signals of the weight sensors of the two scale weighbridges 1 to the two special input ports of the timing data acquisition device 3 respectively, a double-channel isolated acquisition mechanism is established. This connection mode ensures that there is no crosstalk throughout the transmission of the left and right wheel pressure signals, and completely eliminates the risk of cross interference in traditional parallel signal acquisition. The timing data acquisition device 3 realizes time-sharing and one-by-one wheel pressure signal acquisition and recording based on this hardware basis, ensuring the strict independence and synchronization accuracy of the left and right wheel weighing time stamps and wheel pressure signal curves. This scheme provides original data authenticity guarantee for the load rate calculation and wheel pressure curve form diagnosis of the data platform 5, and solves the analysis error problem caused by the coupling of traditional weighbridge multi-sensor data from the signal source end.

[0044] As a preferred embodiment of the above, as shown in Figures 1-4 The two said scale weighbridges 1 are both 5T scale weighbridges.

[0045] Specifically, in accordance with the limitation of China's traffic regulations that the maximum load of a single axle is 10 tons, two 5T scale weighbridges 1 are used to independently measure the left and right wheels of a single axle, so that the maximum 10-ton load of a single axle is reasonably decomposed into two 5-ton measurement units. Whether the number of vehicle axles increases to 4 or 6, only two 5T scale weighbridges 1 are needed to complete the measurement of each wheel of the whole vehicle, avoiding the disadvantage of traditional schemes that the scale of the weighbridge expands synchronously with the increase in the number of axles. Even for a 100T heavy truck, the basic wheel pressure is almost the same, and a larger weighbridge is not needed. Unless in special circumstances, a 10-ton weighbridge may be used.

[0046] As a preferred embodiment of the above, as shown in Figures 1-4 The said timing data acquisition device 3 is connected to the said GPS / Beidou central control vehicle-mounted instrument 4 through a 485 communication port and a signal line; and the said GPS / Beidou central control vehicle-mounted instrument 4 is connected to the said data platform 5 through a wireless mode.

[0047] Specifically, the device 3 for data acquisition through 485 communication port with signal line hard connection timing is connected with the GPS / Beidou central control vehicle-mounted instrument 4, ensuring the anti-interference and real-time of key data such as wheel pressure signal curve and time stamp in the initial stage of transmission, completely avoiding the signal attenuation risk of wireless transmission in the pit environment. The GPS / Beidou central control vehicle-mounted instrument 4 transmits the encrypted data packet to the data platform 5 through wireless mode, realizing remote data aggregation. The two-level transmission architecture creatively balances the dual needs of local transmission reliability and remote interaction convenience, ensuring the integrity of the wheel pressure original data and supporting the data platform 5 to manage multiple weighbridges across regions. At the same time, the vehicle-mounted instrument 4 binds the space-time coordinates to each wheel pressure data, making the overload report and tire pressure diagnosis results traceable, and strengthening the engineering practical value of the system from the communication level.

[0048] As a preferred embodiment of the above, as shown in Figures 1-4 Two said mold frames 2 are fixed by channel steel connection.

[0049] Specifically, by using channel steel to rigidly connect two parallel arranged mold frames 2, an integrated bearing frame is formed, effectively solving the accumulated deviation problem caused by independent installation of double weighbridges. The channel steel connection ensures that the mold frames 2 are accurately positioned in parallel in the pit, ensuring that the weighing platform of the weighing weighbridge 1 always fully matches the track of the left and right tires of each axle of the vehicle, eliminating the risk of wheel pressure signal collection misalignment caused by mold frame displacement. At the same time, the channel steel structure enhances the overall torsional stiffness of the mold frame 2, evenly disperses the impact load when the vehicle is weighed, and suppresses the zero drift of the weighing sensor caused by the load of the unbalanced load. This connection method takes into account the installation convenience and long-term stability, ensuring the spatial consistency and temporal repeatability of the wheel pressure curve data from the mechanical architecture level, providing a foundation for accurate calculation of the unbalanced load rate.

[0050] A weighing method of a visual wheel-by-wheel weighing weighbridge, as shown in Figure 5 The vehicle is guided to two parallel arranged weighing weighbridges 1, so that the left and right tires of each axle are aligned with the weighing platforms of the two said weighing weighbridges 1 respectively, ensuring that the tires completely cover the weighing area;

[0051] The vehicle identification information is collected by the license plate recognition component 8 and transmitted to the GPS / Beidou central control vehicle-mounted instrument 4 and the data platform 5, establishing a binding relationship between the vehicle identity and the weighing data;

[0052] The device 3 for data acquisition at regular intervals collects the output signals of the two said weighing weighbridges 1, and records the time-wheel pressure signal curve of each wheel in real time; the signal curve is transmitted to the GPS / Beidou central control vehicle-mounted instrument 4 and the data platform 5;

[0053] The weighing image display screen 6 synchronously displays the real-time picture of the tire weighing taken by the camera 7, assisting the driver in controlling the weighing speed;

[0054] The data platform 5 calculates the actual weighing time according to the duration of the time-wheel pressure signal curve and feeds back to the GPS / Beidou central control vehicle-mounted instrument 4;

[0055] The data platform 5 respectively accumulates the wheel pressure values of the same axle left and right wheels to obtain the axle load, which is an important indicator of traffic safety; respectively accumulates the wheel pressure of the left and right wheels, and the difference can calculate the load rate; accumulates all wheel pressure values to obtain the total vehicle weight. The size of the weighbridge is certain, and the weighing time can be obtained from the time-wheel pressure signal curve. The vehicle speed is obtained by dividing the width of the weighbridge by the weighing time;

[0056] The data platform 5 performs tire pressure state diagnosis;

[0057] The trapezoidal characteristics of the wheel pressure signal curve are analyzed, and the left waist line slope α and the right waist line slope β are extracted;

[0058] If α or β is lower than the preset slope threshold, it is determined that the corresponding tire pressure is insufficient;

[0059] Generate a tire pressure abnormality report and associate it with the vehicle identity information;

[0060] The data platform 5 stores data by time and vehicle classification, and supports users to remotely call wheel pressure curves, load deviation reports and total vehicle weight statistical reports, and report tire pressure abnormality.

[0061] Specifically, by collecting the wheel pressure signal curve and time stamp of the two scales 1 independently, the traditional scale which only outputs the single whole vehicle weight is broken through, and the dynamic data recording of each wheel is realized for the first time; the actual weighing time is calculated in real time based on the wheel pressure signal curve, and combined with the real-time picture feedback of the weighing image display screen 6, the driver can actively control the vehicle speed to optimize the precision, and solve the contradiction between efficiency and precision. The data platform 5 synchronously completes the accurate synthesis of wheel weight, that is, the axle weight is obtained by accumulating the left and right wheel values of the same axle, and then the whole vehicle weight is obtained by accumulating the wheel weight of the whole vehicle, which eliminates the cumulative error of the traditional axle weight; the safety warning of unbalanced load, that is, the unbalanced load rate is calculated by the difference between the left and right wheel weights of the same axle, and the risk of vehicle overturning is diagnosed; the space-time data binding, that is, the vehicle identity collected by the license plate recognition component 8, the space-time coordinates of the GPS / Beidou central control vehicle-mounted instrument 4 and the wheel pressure curve are associated, and a traceable database is constructed. Thus, taking the wheel pressure curve as the input core, four functions of vehicle speed control, unbalanced load diagnosis, whole vehicle weighing and data tracing are derived, which solves the technical defects of the traditional scale method such as single function, precision depending on static state and isolated data being untraceable. By analyzing the trapezoidal characteristics of the wheel pressure signal curve through the data platform 5, the left and right waist line slopes α and β are extracted, and based on the slope value lower than the preset threshold, it is determined that the corresponding tire pressure is insufficient, and the single weighing function of the traditional scale is creatively expanded to the field of vehicle safety monitoring. Thus, tire pressure state evaluation is realized only by analyzing the shape of the wheel pressure curve, avoiding the cost and complexity of modifying the vehicle; it can also accurately locate the defective wheel position, independently calculate the left and right waist line slopes of each tire, accurately associate the tire pressure abnormality with the specific wheel position (such as the left front wheel), and provide a basis for directional maintenance; it can also realize automatic data tracing, and the generated tire pressure abnormality report is automatically associated with the vehicle identity information collected by the license plate recognition component 8, and a complete "vehicle-wheel position-tire pressure state" database is constructed. Thus, by establishing the mapping relationship between the trapezoidal characteristics of the wheel pressure signal and the physical state of the tire, the pain points of the traditional tire pressure monitoring which depends on special equipment and cannot be integrated into the weighing process are solved, and the functional value and safety warning ability of the scale system are significantly improved.

[0062] The above shows and describes the basic principles, main features and advantages of the present application. Those skilled in the art should understand that the present application is not limited to the above examples, and the above examples and descriptions in the specification are only to illustrate the principles of the present application. Without departing from the spirit and scope of the present application, various changes and improvements can be made to the present application, and these changes and improvements all fall within the scope of the claimed present application. The scope of protection of the present application is defined by the appended claims and their equivalents.

Claims

1. A visual wheel-by-wheel weighing platform, characterized in that: it comprises two weighing platforms (1), a mold frame (2), a device (3) for collecting data at regular time intervals, a GPS / Beidou central control vehicle-mounted instrument (4), a data platform (5), an overloading image display screen (6), and a camera (7); each of the two weighing platforms (1) is arranged in a frame of the two parallel mold frames (2) and is provided in a pit, and the weighing surface of the weighing platform (1) is adapted to the position of the left and right tires of each axle of the vehicle; the two weighing platforms (1) are connected to the device (3) for collecting data at regular time intervals, the GPS / Beidou central control vehicle-mounted instrument (4), and the data platform (5) through signal lines; the overloading image display screen (6) and the camera (7) are arranged on one side of the weighing platform (1) and correspondingly capture and display the overloading speed and time of the tires; the device (3) for collecting data at regular time intervals collects the output signals of the two weighing platforms (1) one by one at different time intervals, and the output signals are transmitted to the data platform (5) through the GPS / Beidou central control vehicle-mounted instrument (4) for processing and recording the time-axle pressure signal curve of each wheel. Further comprising a license plate recognition component (8) arranged on one side of the weighing platform (1), which is connected to the GPS / Beidou central control vehicle-mounted instrument (4) through a signal line and connected to the data platform (5) through a wireless mode; the weighing surface of the weighing platform (1) is at the same level as the ground surface and the upper surface of the mold frame (2) and is adapted to the position of the left and right tires of each axle of the vehicle. The weighing sensor of the weighing platform (1) is supported by the extended bottom surface arranged at the four corners of the bottom of the mold frame (2). The output signals of the weighing sensors of the two weighing platforms (1) are connected to the two input ports of the device (3) for collecting data at regular time intervals through signal lines. Each of the two weighing platforms (1) is a 5T weighing platform. The device (3) for collecting data at regular time intervals is connected to the GPS / Beidou central control vehicle-mounted instrument (4) through a 485 communication port and a signal line.

2. A visual wheel-by-wheel reweighing weighbridge according to claim 1, characterised in that, The GPS / Beidou central control vehicle-mounted instrument (4) is connected to the data platform (5) through a wireless mode.

3. A visual wheel-by-wheel reweighing scale-pit according to claim 1, characterized in that, The two mold frames (2) are fixedly connected through channel steel.

4. A visual wheel-by-wheel reweighing scale-pit according to claim 1, characterized in that, 8. A wheel-by-wheel weighing method for a visual wheel-by-wheel weighing platform, characterized in that: the vehicle is guided to the two parallel weighing platforms (1), and the left and right tires of each axle are aligned with the weighing surfaces of the two weighing platforms (1) to ensure that the tires completely cover the weighing area; 5. A visual wheel-to-wheel weigh-bridge according to claim 1, characterized in that, the license plate recognition component (8) collects the vehicle identity information and transmits the information to the GPS / Beidou central control vehicle-mounted instrument (4) and the data platform (5) to establish a binding relationship between the vehicle identity and the weighing data.

6. A visual wheel-by-wheel weighbridge according to claim 5, characterized in that, ​ ​ 7. A visual wheel-to-wheel weigh-bridge according to claim 1, characterized in that, ​ ​ ​ ​ The device (3) for collecting data collects the output signals of the two scales (1) in time and records the time-wheel pressure signal curve of each wheel in real time; the signal curve is transmitted to the GPS / Beidou central control vehicle instrument (4) and the data platform (5); The weighing image display screen (6) synchronously displays the real-time picture of the tire weighing taken by the camera (7) to assist the driver in controlling the weighing speed; The data platform (5) calculates the actual weighing time according to the duration of the time-wheel pressure signal curve and feeds back to the GPS / Beidou central control vehicle instrument (4); The data platform (5) accumulates the wheel pressure values of the left and right wheels of the same axle respectively to obtain the axle load, which is an important indicator of traffic safety; the wheel pressure values of the left and right wheels are accumulated respectively, and the difference value can calculate the unbalance load rate; all wheel pressure values are accumulated to obtain the total vehicle weight. The size of the scale is certain, the weighing time can be obtained from the time-wheel pressure signal curve, and the vehicle speed can be obtained by dividing the scale width by the weighing time; The data platform (5) performs tire pressure state diagnosis; The trapezoidal characteristics of the wheel pressure signal curve are analyzed, and the left waist line slope α and the right waist line slope β are extracted; If α or β is lower than the preset slope threshold, it is determined that the corresponding tire pressure is insufficient; A tire pressure abnormality report is generated and associated with the vehicle identity information; The data platform (5) stores data according to time and vehicle classification, and supports users to remotely call wheel pressure curve, unbalance load report and total vehicle weight statistical report, and report tire pressure abnormality.

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