A vehicle-mounted weighing system

Abstract

The application discloses a kind of vehicle-mounted weighing systems, the system includes: data acquisition terminal, for collecting real-time vehicle-mounted data;Data transmission module, for transmitting the real-time vehicle-mounted data collected by data acquisition terminal to weighing management platform;Weighing management platform, for determining vehicle-mounted weighing result according to vehicle-mounted weighing calculation model and real-time vehicle-mounted data.The vehicle-mounted weighing calculation model contains the curve relationship between the stress and deformation amplitude of the vehicle frame and the load carried in three directions;Three groups of relationships are obtained through the calibration process during the installation and debugging of vehicle-mounted equipment.The application solves the limitations of traditional weighing methods, which are only available when the vehicle is in force balance and does not tilt, eliminates the weighing error caused by neglecting acceleration, improves the accuracy of the weighing system, and expands the use range of the system.

Description

Technical Field

[0001] This invention relates to the field of weighing technology, and more specifically to a vehicle-mounted weighing system. Background Technology

[0002] Vehicle-mounted weighing systems are widely used in industries such as engineering, logistics, sanitation, and postal services. Currently, various industries employ different types of vehicle-mounted weighing sensors, including displacement sensors, capacitive sensors, pressure sensors, and micro-deformation sensors. Among these, vehicle weighing based on displacement sensors is widely used due to its ease of installation, simple data acquisition, and resistance to harsh environments. However, displacement sensor weighing has some drawbacks. Weighing errors occur when the vehicle is tilted or swaying, and the load-bearing components are prone to fatigue, causing the accuracy to gradually decrease over time. Typically, annual calibration is required to maintain the required accuracy. Summary of the Invention

[0003] To address the aforementioned shortcomings in the prior art, the present invention provides a vehicle-mounted weighing system.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is as follows:

[0005] A vehicle-mounted weighing system, comprising:

[0006] Data acquisition terminal, used to collect real-time vehicle data;

[0007] The data transmission module is used to transmit the real-time vehicle data collected by the data acquisition terminal to the weighing management platform.

[0008] The weighing management platform is used to calculate the vehicle weighing results based on the vehicle weighing calculation model and real-time vehicle data. The vehicle weighing calculation model includes the curve relationship between the force and deformation amplitude of the frame and the load in three directions.

[0009] Optionally, the data acquisition terminal specifically includes:

[0010] Displacement sensors and triaxial acceleration sensors are mounted on the vehicle's frame;

[0011] The displacement sensor is used to collect the relative distance between the vehicle frame and the axle;

[0012] The triaxial accelerometer is used to collect the acceleration of the vehicle in the longitudinal, lateral, and vertical directions when it is in operation.

[0013] Optionally, the displacement sensor specifically includes:

[0014] The displacement sensor body and the steel wire rope fixedly connected to the displacement sensor body, the other end of the steel wire rope being fixedly connected to the vehicle axle via a pull head.

[0015] Optionally, the weighing management platform automatically analyzes the vehicle-mounted sensing data and manually input weight data to obtain three sets of relationship curves, and calibrates the vehicle-mounted weighing calculation model, specifically including:

[0016] Based on the vertical relative distance data between the chassis and axle collected from multiple groups of vehicles under static conditions while loaded with different weights of cargo, the relationship curve between the vertical deformation of the chassis and the supporting force on the chassis was determined.

[0017] Based on the longitudinal relative distance data and acceleration data between the chassis and axle collected by multiple groups of vehicles in straight-line driving state when loaded with different weights of goods, the relationship curve between the longitudinal deformation of the chassis and the longitudinal tensile force on the chassis is determined.

[0018] Based on the lateral relative distance data and acceleration data between the chassis and axle collected from multiple groups of vehicles under curved driving conditions with different weights of cargo, the relationship curve between the lateral deformation of the chassis and the lateral tensile force on the chassis was determined.

[0019] Optionally, determining the relationship curve between the vertical deformation of the chassis and the supporting force on the chassis based on the relative distance data between the chassis and the axle collected from multiple groups of vehicles in a static state while loaded with different weights of cargo specifically includes:

[0020] Acquire cargo weight data and relative distance data between the vehicle frame and axle when the vehicle is stationary and loaded with a set weight of cargo;

[0021] Calculate the supporting force on the chassis based on the cargo weight data;

[0022] The vertical deformation of the chassis is calculated based on the relative distance data between the chassis and the axle.

[0023] The relationship curve between the vertical deformation of the chassis and the supporting force on the chassis is determined based on the supporting force and vertical deformation of the chassis corresponding to multiple sets of cargo weight data.

[0024] Optionally, determining the relationship curve between the longitudinal deformation of the chassis and the longitudinal tensile force on the chassis based on the relative distance data and acceleration data between the chassis and the axle collected by multiple groups of vehicles in a straight-line driving state while loaded with different weights of goods specifically includes:

[0025] Acquire cargo weight data, acceleration data in the longitudinal, lateral, and vertical directions, and relative distance data between the vehicle frame and the axle when the vehicle is traveling in a straight line with a set weight of cargo, and remove points with non-zero lateral acceleration from the above dataset;

[0026] Calculate the longitudinal tensile force on the chassis based on cargo weight data and longitudinal acceleration data;

[0027] The supporting force on the chassis is calculated based on the cargo weight data and vertical acceleration data;

[0028] The vertical deformation of the frame is calculated based on the calculated support force on the frame and the determined relationship curve between the vertical deformation of the frame and the support force on the frame.

[0029] Calculate the longitudinal deformation of the chassis based on the vertical deformation of the chassis;

[0030] The relationship curve between the longitudinal deformation of the chassis and the longitudinal tensile force on the chassis is determined based on the longitudinal tensile force and longitudinal deformation of the chassis corresponding to multiple sets of cargo weight data.

[0031] Optionally, determining the relationship curve between the lateral deformation of the chassis and the lateral tensile force on the chassis based on the relative distance data and acceleration data between the chassis and the axle collected from multiple groups of vehicles under curved driving conditions with different weights of cargo specifically includes:

[0032] Acquire cargo weight data, acceleration data in the longitudinal, lateral, and vertical directions, and relative distance data between the vehicle frame and the axle when the vehicle is traveling on a curve with a set weight of cargo.

[0033] The lateral tensile force on the chassis is calculated based on the cargo weight data and lateral acceleration data.

[0034] The supporting force on the chassis is calculated based on the cargo weight data and vertical acceleration data;

[0035] The vertical deformation of the frame is calculated based on the calculated support force on the frame and the determined relationship curve between the vertical deformation of the frame and the support force on the frame.

[0036] Calculate the longitudinal tensile force on the chassis based on cargo weight data and longitudinal acceleration data;

[0037] The longitudinal deformation of the frame is calculated based on the calculated longitudinal tensile force on the frame and the determined relationship curve between the longitudinal deformation of the frame and the longitudinal tensile force on the frame.

[0038] The lateral deformation of the chassis is calculated based on the vertical and longitudinal deformations of the chassis.

[0039] The relationship curve between the lateral deformation of the chassis and the lateral tensile force on the chassis is determined based on the lateral tensile force and lateral deformation of the chassis corresponding to multiple sets of cargo weight data.

[0040] Optionally, the weighing management platform determines the vehicle weighing result based on the calibrated vehicle weighing calculation model and real-time vehicle data, specifically including:

[0041] Based on the established curves showing the relationship between vertical deformation of the frame and the supporting force on the frame, the relationship between longitudinal deformation of the frame and the longitudinal tensile force on the frame, and the relationship between lateral deformation of the frame and the lateral tensile force on the frame, an on-board weighing calculation model is constructed.

[0042] The vehicle weighing result is calculated based on real-time vehicle data and the vehicle weighing calculation model.

[0043] Optionally, the weighing management platform is also used to preprocess the weighing result data to remove noise from the data and obtain stable output results, specifically including:

[0044] The data from repeated collection points are segmented according to multiple consecutive adjacent collection time points;

[0045] Calculate the standard deviation and residuals of the weighing results for each segment;

[0046] For each data point, determine whether the residual is greater than 3 times the standard deviation; if so, replace the data point with the average of the four adjacent data points; otherwise, continue iterating to the next data point.

[0047] Data filtering is performed on the weighing results of all segments.

[0048] Optionally, the weighing management platform can also perform automatic correction at regular intervals to improve weighing accuracy, specifically including:

[0049] According to the set optimization cycle, regression analysis is performed based on historical vehicle weighing results and actual vehicle cargo weighing results to construct a vehicle weighing regression model.

[0050] In the next optimization cycle, the parameters of the vehicle weighing calculation model will be optimized based on the vehicle weighing regression model.

[0051] The present invention has the following beneficial effects:

[0052] (1) This invention collects vehicle data through a data acquisition terminal and constructs a vehicle weighing calculation model, which solves the limitation that traditional weighing methods can only be used when the vehicle is in force balance and does not tilt. It eliminates the weighing error caused by ignoring acceleration, improves the accuracy of the weighing system, and expands the scope of application of the system.

[0053] (2) The present invention can optimize the accuracy of vehicle weighing data by using weighing data obtained from other weighing methods such as weighbridges, continuously improve the accuracy of vehicle weighing, and make the system more and more accurate with use. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of a vehicle-mounted weighing system according to the present invention;

[0055] Figure 2 This is a schematic diagram of the vehicle in an unloaded and stationary state in this invention;

[0056] Figure 3 This is a schematic diagram of the vehicle's driving state in this invention. Detailed Implementation

[0057] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0058] like Figure 1 As shown, an embodiment of the present invention provides a vehicle-mounted weighing system, including:

[0059] Data acquisition terminal, used to collect real-time vehicle data;

[0060] The data transmission module is used to transmit the real-time vehicle data collected by the data acquisition terminal to the weighing management platform.

[0061] The weighing management platform is used to determine the vehicle weighing result based on the vehicle weighing calculation model and real-time vehicle data. The vehicle weighing calculation model includes the curve relationship between the force and deformation of the frame and the load in three directions.

[0062] In an optional embodiment of the present invention, the data acquisition terminal specifically includes:

[0063] Displacement sensors and triaxial acceleration sensors are mounted on the vehicle's frame;

[0064] The displacement sensor is used to collect the relative distance between the vehicle frame and the axle;

[0065] The triaxial accelerometer is used to collect the acceleration of the vehicle in the longitudinal, lateral, and vertical directions when it is in operation.

[0066] Specifically, the displacement sensor includes:

[0067] The displacement sensor body and the steel wire rope fixedly connected to the displacement sensor body, the other end of the steel wire rope being fixedly connected to the vehicle axle via a pull head.

[0068] Specifically, in this embodiment, a displacement sensor is installed between the vehicle frame and the axle. The main body of the displacement sensor is mounted on the frame, and a pull head is extended from it via a steel cable, which is then fixed to the axle. The sensor incorporates an elastic device to ensure that the steel cable between the sensor body and the pull head remains taut. The sensor measures the length of this steel cable, which is the relative distance between the frame and the axle, and periodically transmits the measured relative distance data to the on-board data acquisition terminal.

[0069] In this embodiment, a triaxial accelerometer is installed at a suitable position on the frame of the freight vehicle. When in operation, the accelerometer can collect the acceleration of the vehicle's cargo box in real time in three directions: longitudinal (travel direction), lateral, and vertical. , , The data is then transmitted to the data acquisition terminal.

[0070] In an optional embodiment of the present invention, the data acquisition terminal periodically transmits data to the weighing management platform via an in-vehicle mobile communication device (not limited to 2G / 3G / 4G / 5G standards) and the Internet. The in-vehicle mobile communication device can be a mobile communication module integrated into the data acquisition terminal itself, or it can be other mobile communication devices installed on the vehicle (such as an in-vehicle video positioning and monitoring host).

[0071] In an optional embodiment of the present invention, the weighing management platform needs to be calibrated during the installation and commissioning phase of the vehicle-mounted equipment, specifically including:

[0072] Based on the relative distance data between the chassis and axle collected from multiple groups of vehicles under stationary conditions while loaded with different weights of cargo, the relationship curve between the vertical deformation of the chassis and the supporting force on the chassis was determined.

[0073] Based on the relative distance and acceleration data between the chassis and axle collected from multiple groups of vehicles traveling in a straight line while loaded with different weights of cargo, the relationship curve between the longitudinal deformation of the chassis and the longitudinal tensile force on the chassis was determined.

[0074] Based on the relative distance and acceleration data between the chassis and axle collected from multiple vehicles under curved driving conditions with different weights of cargo, the relationship curve between the lateral deformation of the chassis and the lateral tensile force on the chassis was determined.

[0075] Specifically, determining the relationship curve between the vertical deformation of the chassis and the supporting force on the chassis based on the relative distance data between the chassis and the axle collected from multiple groups of vehicles in a static state while loaded with different weights of cargo includes:

[0076] Acquire cargo weight data and relative distance data between the vehicle frame and axle when the vehicle is stationary and loaded with a set weight of cargo;

[0077] Calculate the supporting force on the chassis based on the cargo weight data;

[0078] The vertical deformation of the chassis is calculated based on the relative distance data between the chassis and the axle.

[0079] The relationship curve between the vertical deformation of the chassis and the supporting force on the chassis is determined based on the supporting force and vertical deformation of the chassis corresponding to multiple sets of cargo weight data.

[0080] Specifically, determining the relationship curve between the longitudinal deformation of the chassis and the longitudinal tensile force on the chassis based on relative distance data and acceleration data collected from multiple vehicles traveling in a straight line while loaded with different weights of cargo includes:

[0081] Acquire cargo weight data, acceleration data in the longitudinal, lateral, and vertical directions, and relative distance data between the vehicle frame and the axle when the vehicle is traveling in a straight line while loaded with a set weight of cargo.

[0082] Calculate the longitudinal tensile force on the chassis based on cargo weight data and longitudinal acceleration data;

[0083] The supporting force on the chassis is calculated based on the cargo weight data and vertical acceleration data;

[0084] The vertical deformation of the frame is calculated based on the calculated support force on the frame and the determined relationship curve between the vertical deformation of the frame and the support force on the frame.

[0085] Calculate the longitudinal deformation of the chassis based on the vertical deformation of the chassis;

[0086] The relationship curve between the longitudinal deformation of the chassis and the longitudinal tensile force on the chassis is determined based on the longitudinal tensile force and longitudinal deformation of the chassis corresponding to multiple sets of cargo weight data.

[0087] Specifically, determining the relationship curve between the lateral deformation of the chassis and the lateral tensile force on the chassis based on relative distance and acceleration data between the chassis and axle collected from multiple groups of vehicles under curved driving conditions with different weights of cargo includes:

[0088] Acquire cargo weight data, acceleration data in the longitudinal, lateral, and vertical directions, and relative distance data between the vehicle frame and the axle when the vehicle is traveling on a curve with a set weight of cargo.

[0089] The lateral tensile force on the chassis is calculated based on the cargo weight data and lateral acceleration data.

[0090] The supporting force on the chassis is calculated based on the cargo weight data and vertical acceleration data;

[0091] The vertical deformation of the frame is calculated based on the calculated support force on the frame and the determined relationship curve between the vertical deformation of the frame and the support force on the frame.

[0092] Calculate the longitudinal tensile force on the chassis based on cargo weight data and longitudinal acceleration data;

[0093] The longitudinal deformation of the frame is calculated based on the calculated longitudinal tensile force on the frame and the determined relationship curve between the longitudinal deformation of the frame and the longitudinal tensile force on the frame.

[0094] The lateral deformation of the chassis is calculated based on the vertical and longitudinal deformations of the chassis.

[0095] The relationship curve between the lateral deformation of the chassis and the lateral tensile force on the chassis is determined based on the lateral tensile force and lateral deformation of the chassis corresponding to multiple sets of cargo weight data.

[0096] In this embodiment, the weighing management platform determines the vehicle weighing result based on three calibrated sets of relationship curves and real-time vehicle data, specifically including:

[0097] Based on the established curves showing the relationship between vertical deformation of the frame and the supporting force on the frame, the relationship between longitudinal deformation of the frame and the longitudinal tensile force on the frame, and the relationship between lateral deformation of the frame and the lateral tensile force on the frame, an on-board weighing calculation model is constructed.

[0098] The vehicle weighing result is calculated based on real-time vehicle data and the vehicle weighing calculation model.

[0099] In summary, the weighing management platform analyzes the data based on acceleration in three directions and measured relative distance data, and can calculate the mass of the goods at each time point through multiple sets of data, forming a curve of the change of the mass of the goods over time.

[0100] The principles of data parsing and cargo weight calculation are described below:

[0101] 1. Variable Description

[0102] The parameters required to describe this principle are as follows:

[0103] m: Total mass of goods on the vehicle;

[0104] The total mass of the chassis and cargo box, which is a constant;

[0105] M The total mass of the frame and the cargo carried on it ( );

[0106] g: acceleration due to gravity;

[0107] , , The longitudinal, lateral, and vertical accelerations of the vehicle frame and the cargo it carries;

[0108] L: The distance between the frame and the axle, i.e. the length of the wire rope between the displacement sensor body and the pull head;

[0109] The distance between the chassis and the axle when unloaded;

[0110] x, y, z: The changes in the distance between the chassis and the axle in the three directions (when the vehicle is unloaded and stationary, x=y=z=0).

[0111] 2. Stress analysis of the chassis and the cargo it carries

[0112] (1) When the vehicle is stationary or moving in a straight line at a constant speed, the forces acting on it in the longitudinal and lateral directions are zero. In the vertical direction, the forces acting on it are gravity and the supporting force acting on the frame. Balance, that is:

[0113] ;

[0114] When the mass m of the cargo on the vehicle increases, the distance between the frame and the axle will decrease (i.e., z < 0). Increase, therefore It is a monotonically decreasing function.

[0115] (2) During the vehicle's movement, the force relationships in the longitudinal, lateral, and vertical directions are as follows:

[0116] Longitudinal: Vehicle acceleration ( >0) or deceleration ( When x < 0, the vehicle's traction force is generated by the elastic deformation x (x > 0) of the frame in the longitudinal direction. This is transmitted to the chassis, causing a change in the speed of the chassis and the cargo, namely:

[0117] ;

[0118] Lateral: The vehicle's direction of travel changes ( >0、 When <0 represents left and right deflection respectively, the vehicle's traction force is generated by the elastic deformation y (y>0) of the frame in the lateral direction. This is transmitted to the chassis, causing a change in the speed of the chassis and the cargo, namely:

[0119] ;

[0120] Vertical: Vehicles may experience vertical acceleration when traversing non-horizontal road sections. This value is related to the support force on the frame. The following relationship exists between them:

[0121] ;

[0122] In the above relationships, , It is a monotonically increasing function; It is a monotonically decreasing function.

[0123] 3. Analysis of the relationship between L and x, y, z

[0124] During vehicle operation, the vehicle is often in an unbalanced state, and the displacement sensor measures the distance between the frame and the axle. L Determined by offsets in three directions, x, y, and z, it can be expressed as:

[0125] ;

[0126] Distance change diagrams are shown in Figure 2 and Figure 3 As shown.

[0127] 4. Equipment Calibration

[0128] After the vehicle-mounted weighing equipment is installed, it needs to be calibrated first. The calibration steps are as follows:

[0129] Ensure the weighing equipment is properly installed and the vehicle is stationary. Load goods of known weight into the vehicle's cargo box. m (e.g., 0kg, 200kg, 400kg, 800kg, 1000kg...), and m The values ​​are input into the weighing management platform. Each time goods are loaded, the following operations are performed: data is automatically collected via onboard equipment, and the platform automatically calculates the results based on both equipment and manual input. The specific process is as follows:

[0130] (1) After the goods are loaded onto the vehicle, record the distance once the vehicle body is stable. L (Where, when m=0kg, the measured distance is...) ), and then through the formula and A series of (can be obtained) )value;

[0131] (2) Start the vehicle and select suitable road conditions to keep the vehicle traveling in a straight line. While ensuring driving safety, frequently accelerate and decelerate, and record multiple sets of data. m , , , , L ) data, for The data was removed;

[0132] (3) Change the road conditions again, making the vehicle drive under more complex conditions, and frequently change the driving direction while ensuring driving safety, and record multiple sets of ( m , , , , L )data.

[0133] Analyze the above data:

[0134] First, based on each set of data collected in step (1), z and z are recorded using regression analysis. The relationship between z and multiple sets of data can be obtained by combining them. Relationship curve;

[0135] Then, based on each set of data collected in step (2), first through m and Find Furthermore, based on z and Find z from the relationship curve, and then according to... (at this time z=0 Find x, and thus obtain multiple sets of x and... The relationship between x and multiple sets of data can be obtained by combining them. Relationship curve;

[0136] Finally, based on each set of data collected in step (3), firstly through m and Find Furthermore, based on z and The relationship curve is used to find z, through m and Find Furthermore, based on x and Find x from the relationship curve, and then according to... Find y, and thus obtain multiple sets of y and The relationship between y and multiple sets of data can be obtained by combining them. The relationship curve.

[0137] By calibration, the forces acting on the frame and the load in three directions can be obtained. , , The relationship curve between the deformation x, y, and z.

[0138] 5. Solving for weighing data

[0139] According to the above equation, during vehicle operation, the onboard equipment can collect data at a large number of time points. , , For the data collected at each time point, if it meets the following conditions: =0, =0, meaning the vehicle is under balanced forces in the x and y directions, and the weight of the cargo can be calculated directly. If this condition is not met, substitute the values ​​into the following system of equations to obtain m:

[0140] ;

[0141] In an optional embodiment of the present invention, the weighing management platform is further used to preprocess the weighing results, specifically including:

[0142] The data from repeated collection points are segmented according to multiple consecutive adjacent collection time points;

[0143] Calculate the standard deviation and residuals of the weighing results for each segment;

[0144] For each data point, determine whether the residual is greater than 3 times the standard deviation; if so, replace the data point with the average of the four adjacent data points; otherwise, continue iterating to the next data point.

[0145] Data filtering is performed on the weighing results of all segments.

[0146] Specifically, considering data acquisition errors and outliers in the data, the curve is smoothed. First, outliers are removed by dividing the curve into segments (each segment consisting of 10 consecutive adjacent time points). The standard deviation and residuals of the 10 data points within each segment are observed. If the residual at a point (t, m) is greater than three times the standard deviation, the data is considered an outlier, and the weighing data at that point is replaced with the average of the four adjacent points (t-2T, tT, t+T, t+2T). After this processing, a Gaussian filtering algorithm is used for data filtering.

[0147] After obtaining a relatively smooth quality change curve, the time points on the curve where the quality changes significantly are extracted (where the time point where the quality decreases significantly is the unloading point, and the time point where the quality increases significantly is the loading point). Based on these time points, the curve is divided into several segments to obtain the quality of the goods in each time period, as well as the quality of each loading or unloading.

[0148] 6. Weighing model optimization

[0149] In an optional embodiment of the present invention, the weighing management platform is further configured to:

[0150] According to the set optimization cycle, regression analysis is performed based on historical vehicle weighing results and actual vehicle cargo weighing results to construct a vehicle weighing regression model; in the next optimization cycle, the final vehicle weighing result is calculated based on the current vehicle weighing result and the vehicle weighing regression model to improve the weighing accuracy.

[0151] Specifically, for each operation of the vehicle, this embodiment uses other weighing methods (such as weighbridges) at the shipping or receiving end. The weight of the goods measured by the on-board weighing can be compared with the weight of the goods measured by the weighbridge to obtain a mapping relationship between the two weights. This mapping relationship is used to correct the on-board weighing results so that the calculated weight is closer to the actual weight.

[0152] Each time the entire vehicle is weighed, a set of data can be obtained ( ),in Indicates the calculated weight of the goods when weighing. This indicates the actual weight of the goods at the time of weighing; and The relationship between them is represented as follows: After n assignments, the system has accumulated n sets of ( The values ​​are then used to perform regression analysis on the above relationships (where k ∈ N, and the larger the value of k, the more accurate the model; when high accuracy is not required, k=1 or k=2 can be used), resulting in a set of... Value, and then you get and The relationship between them. In subsequent weighing operations, utilizing... This allows for the calculation of quality. Convert to corresponding actual mass The system, by setting optimization cycles, accumulates sufficient sample data and can then reuse the model for regression analysis to obtain the results for the next cycle. and The mapping relationship between them. Through the above iterative process, the accuracy of the weighing system can be continuously improved.

[0153] Specific embodiments have been used to illustrate the principles and implementation methods of this invention. The descriptions of the embodiments above are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this invention. Therefore, the content of this specification should not be construed as a limitation of this invention.

[0154] Those skilled in the art will recognize that the embodiments described herein are intended to help the reader understand the principles of the invention, and should be understood that the scope of protection of the invention is not limited to such specific statements and embodiments. Those skilled in the art can make various other specific modifications and combinations based on the technical teachings disclosed in this invention without departing from the spirit of the invention, and these modifications and combinations are still within the scope of protection of this invention.

Claims

1. A vehicle onboard weighing system, characterized in that, The application relates to a vehicle-mounted weighing management system. The system comprises: a data acquisition terminal for acquiring real-time vehicle-mounted data; a data transmission module for transmitting the real-time vehicle-mounted data acquired by the data acquisition terminal to a weighing management platform; a weighing management platform for calculating vehicle-mounted weighing results according to a vehicle-mounted weighing calculation model and real-time vehicle-mounted data; wherein the vehicle-mounted weighing calculation model comprises the curve relationship between the stress and deformation amplitude of a vehicle frame and the carried objects in three directions; During installation and debugging of the vehicle-mounted weighing device, the weighing management platform automatically analyzes vehicle-mounted sensing data and manually input weight data to obtain three groups of relationship curves and calibrate the vehicle-mounted weighing calculation model, specifically including: determining the relationship curve between the vertical deformation of the vehicle frame and the support force borne by the vehicle frame according to the relative distance data between the vehicle frame and the axle acquired in the static state of multiple groups of vehicles loaded with different weight cargos; determining the relationship curve between the longitudinal deformation of the vehicle frame and the longitudinal tension borne by the vehicle frame according to the relative distance data and acceleration data between the vehicle frame and the axle acquired in the straight-line driving state of multiple groups of vehicles loaded with different weight cargos; 2. A vehicle scale system according to claim 1, wherein, determining the relationship curve between the lateral deformation of the vehicle frame and the lateral tension borne by the vehicle frame according to the relative distance data and acceleration data between the vehicle frame and the axle acquired in the curve driving state of multiple groups of vehicles loaded with different weight cargos. The data acquisition terminal specifically comprises: a displacement sensor and a three-axis acceleration sensor arranged on the vehicle frame of the vehicle; the displacement sensor is used for acquiring the relative distance between the vehicle frame and the axle of the vehicle; 3. A vehicle scale system according to claim 2, wherein, the three-axis acceleration sensor is used for acquiring the acceleration in the longitudinal, lateral and vertical directions of the vehicle in the working state. The displacement sensor specifically comprises:

4. The on-board weighing system of claim 1, wherein, a displacement sensor main body and a steel wire rope fixedly connected with the displacement sensor main body, and the other end of the steel wire rope is fixedly connected with the axle of the vehicle through a pull head. The method specifically comprises: acquiring the cargo weight data and the relative distance data between the vehicle frame and the axle in the static state of the vehicle loaded with the set weight cargo; calculating the support force borne by the vehicle frame according to the cargo weight data; calculating the vertical deformation of the vehicle frame according to the relative distance data between the vehicle frame and the axle; 5. A vehicle weighing system according to claim 4, wherein, determining the relationship curve between the vertical deformation of the vehicle frame and the support force borne by the vehicle frame according to the support force borne by the vehicle frame and the vertical deformation of the vehicle frame corresponding to multiple groups of cargo weight data. The method specifically comprises: acquiring the cargo weight data, the acceleration data in the longitudinal, lateral and vertical directions and the relative distance data between the vehicle frame and the axle in the straight-line driving state of the vehicle loaded with the set weight cargo, and eliminating the points with the lateral acceleration not equal to 0 from the above data set; calculating the longitudinal tension borne by the vehicle frame according to the cargo weight data and the longitudinal acceleration data; calculating the support force borne by the vehicle frame according to the cargo weight data and the vertical acceleration data; According to the calculated support force borne by the vehicle frame and the determined relationship curve between the vertical deformation of the vehicle frame and the support force borne by the vehicle frame, the vertical deformation of the vehicle frame is calculated. According to the vertical deformation of the vehicle frame, the longitudinal deformation of the vehicle frame is calculated. According to the longitudinal tension borne by the vehicle frame corresponding to a plurality of sets of cargo weight data and the longitudinal deformation of the vehicle frame, a relationship curve between the longitudinal deformation of the vehicle frame and the longitudinal tension borne by the vehicle frame is determined.

6. A vehicle weighing system according to claim 5, wherein, The relationship curve between the lateral deformation of the vehicle frame and the lateral tension borne by the vehicle frame is determined according to the relative distance data and the acceleration data between the vehicle frame and the axle collected when the vehicle travels in a curve state under the condition that the vehicle is loaded with different weight cargos, and specifically includes the following steps: Obtaining cargo weight data, acceleration data in the longitudinal, lateral and vertical directions, and relative distance data between the vehicle frame and the axle of the vehicle under the condition that the vehicle travels in a curve state when the vehicle is loaded with a set weight cargo; According to the cargo weight data and the lateral acceleration data, the lateral tension borne by the vehicle frame is calculated. According to the cargo weight data and the vertical acceleration data, the support force borne by the vehicle frame is calculated. According to the calculated support force borne by the vehicle frame and the determined relationship curve between the vertical deformation of the vehicle frame and the support force borne by the vehicle frame, the vertical deformation of the vehicle frame is calculated. According to the cargo weight data and the longitudinal acceleration data, the longitudinal tension borne by the vehicle frame is calculated. According to the calculated longitudinal tension borne by the vehicle frame and the determined relationship curve between the longitudinal deformation of the vehicle frame and the longitudinal tension borne by the vehicle frame, the longitudinal deformation of the vehicle frame is calculated. According to the vertical deformation of the vehicle frame and the longitudinal deformation of the vehicle frame, the lateral deformation of the vehicle frame is calculated. According to the lateral tension borne by the vehicle frame corresponding to a plurality of sets of cargo weight data and the lateral deformation of the vehicle frame, a relationship curve between the lateral deformation of the vehicle frame and the lateral tension borne by the vehicle frame is determined.

7. A vehicle weighing system according to claim 6, wherein, The vehicle-mounted weighing result is determined according to the calibrated vehicle-mounted weighing calculation model and real-time vehicle-mounted data by the weighing management platform, and specifically includes the following steps: According to the determined relationship curve between the vertical deformation of the vehicle frame and the support force borne by the vehicle frame, the relationship curve between the longitudinal deformation of the vehicle frame and the longitudinal tension borne by the vehicle frame, and the relationship curve between the lateral deformation of the vehicle frame and the lateral tension borne by the vehicle frame, a vehicle-mounted weighing calculation model is constructed. The vehicle-mounted weighing result is calculated according to the real-time vehicle-mounted data and the vehicle-mounted weighing calculation model.

8. A vehicle scale system according to claim 7, wherein, The weighing management platform is also used for preprocessing the weighing result data to remove noise in the data and obtain stable output results, and specifically includes the following steps: The weighing result data is segmented according to a plurality of continuous adjacent collection time points; The standard deviation and the residual of each segmented weighing result data are calculated. It is judged whether the residual of each data point is greater than 3 times the standard deviation; if yes, the average value of the adjacent four data points of the data point is replaced; otherwise, the next data point is traversed. Data filtering processing is performed on all segmented weighing result data.

9. A vehicle scale system according to claim 8, wherein, The weighing management platform can also automatically correct deviation every certain period to improve the weighing accuracy, and specifically includes the following steps: According to the historical vehicle-mounted weighing result and the actual vehicle-mounted cargo weighing result, a vehicle-mounted weighing regression model is constructed by regression analysis according to a set optimization period; In the next optimization period, the parameters of the vehicle-mounted weighing calculation model are optimized according to the vehicle-mounted weighing regression model.

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