Automatic weighing system and weighing method for improving precision of quartz type dynamic truck scale

Abstract

The invention discloses an automatic weighing system and weighing method for improving the precision of a quartz-type dynamic truck scale, and relates to the technical field of truck scale precision, and the method comprises the steps: obtaining the compression data of a quartz-type sensor in a weighing region, obtaining the vertical compression data of the weighing region based on a first-type quartz sensor, and obtaining the vertical compression data of the weighing region based on a second-type quartz sensor; acquiring inclined compression data of the weighing area based on a second-type quartz sensor; the data processing assembly is used for acquiring the position of each wheel of the automobile in the weighing area, calculating the dynamic force value of each wheel in unit time by combining the vertical compression data and the inclined compression data, and acquiring the dynamic force data of the automobile based on the dynamic force value of each wheel in the weighing area; and the statistical assembly is used for receiving the vehicle dynamic force data acquired by the signal acquisition assembly and calculating the overall weight of the vehicle according to the vehicle dynamic force data. By arranging the quartz sensor which is obliquely arranged, pressure data in the vertical direction and the oblique direction of automobile driving are analyzed, and the accuracy of the weighing system is improved.

Description

Technical Field

[0001] The invention mainly relates to the technical field of automobile scale accuracy, and in particular to an automatic weighing system and a weighing method for improving the accuracy of a quartz-type dynamic automobile scale. Background Art

[0002] The current quartz dynamic vehicle scale precision weighing system mainly obtains the pressure of the wheels on the ground during the driving of the vehicle through quartz sensors, and calculates the overall weight of the vehicle based on the piezoelectric data of the quartz sensors.

[0003] Existing quartz sensors are mainly set at a position perpendicular to the pressure surface of the car, which enables the sensor to mainly measure the vertical driving squeeze data of the car. This setting method ignores the forces in other directions that may be generated by the car during driving, such as lateral forces caused by lane changes or body shaking. When the car changes lanes or the body shakes, non-vertical forces will be generated. These forces interfere with the detection of the quartz sensor, resulting in inaccurate measurement results. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the prior art. The present invention provides an automatic weighing system and a weighing method for improving the accuracy of a quartz dynamic automobile scale. By setting an inclined quartz sensor, the pressure data in the vertical direction and the inclined direction of the automobile are analyzed to improve the weighing accuracy of the quartz weighing system.

[0005] The present invention provides an automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale, the automatic weighing system comprising: a weighing area, a signal acquisition component and a statistical component;

[0006] Weighing area: formed by splicing several plots of land, and the signal acquisition component is arranged in the weighing area;

[0007] Signal acquisition component: comprising a plurality of quartz sensors, the plurality of quartz sensors being arranged at the joint positions of the plurality of plots, the plurality of quartz sensors comprising a first type of quartz sensors and a second type of quartz sensors;

[0008] Data acquisition component: obtains the pressure data of the quartz sensor in the weighing area, obtains the vertical pressure data of the weighing area based on the first type of quartz sensor, and obtains the inclined pressure data of the weighing area based on the second type of quartz sensor;

[0009] Data processing component: used to obtain the position of each wheel of the vehicle in the weighing area, and calculate the dynamic force value of each wheel per unit time in combination with the vertical pressure data and the inclined pressure data, and obtain the vehicle dynamic force data based on the dynamic force value of each wheel in the weighing area;

[0010] Statistics component: used to receive the vehicle dynamic force data acquired by the signal acquisition component, and calculate the overall weight of the vehicle based on the vehicle dynamic force data.

[0011] Preferably, the weighing area is divided into a first weighing belt and a second weighing belt arranged in parallel, and the configuration range of the shortest distance between the contour edge line of the first weighing belt and the contour edge line of the second weighing belt is 2000mm to 2200mm;

[0012] The longest distance between the contour edge line of the first weighing belt and the contour edge line of the second weighing belt is set in the range of 3200 mm to 3400 mm.

[0013] Preferably, the first type of quartz sensor is configured as a sensor structure with a long strip structure, and the second type of quartz sensor is configured as a sensor with a plate structure.

[0014] Preferably, the weighing area is provided with a first receiving groove perpendicular to the ground and a second receiving groove forming an inclined angle with the ground;

[0015] The first type of quartz sensor is configured in the first receiving groove, and the second type of quartz sensor is configured in the second receiving groove.

[0016] Preferably, the automatic weighing system further comprises a visual recognition component, based on which an initial time when the target vehicle enters the weighing area, an end time when the target vehicle leaves the weighing area and a driving area of ​​the target vehicle are acquired.

[0017] Preferably, the data processing component calculates vertical dynamic force data of the target vehicle based on the vertical compression data;

[0018] The dynamic force data of the target vehicle wheel in the tilt direction relative to the ground are calculated based on the tilt pressure data, and the dynamic decomposed force data in the vertical direction are obtained based on the mechanical decomposition.

[0019] Preferably, the data processing component performs error analysis correction on the wheel dynamic force data of the target vehicle, and calculates the weight data of the target vehicle based on the corrected wheel dynamic force data.

[0020] The present invention also provides an automatic weighing method for improving the accuracy of a quartz-type dynamic truck scale, and the automatic weighing method is adapted to the automatic weighing system for improving the accuracy of a quartz-type dynamic truck scale;

[0021] The automatic weighing method comprises:

[0022] Acquire the pressure data of the target vehicle entering the weighing area based on the signal acquisition component;

[0023] Analyze the vertical compression data and the inclined compression data of the weighing area based on the compression data;

[0024] The dynamic force value of each wheel per unit time is calculated by combining the vertical pressure data and the inclined pressure data, and the vehicle dynamic force data is obtained based on the dynamic force value of each wheel in the weighing area;

[0025] The overall weight of the vehicle is calculated based on the vehicle dynamic force data acquired by the signal acquisition component.

[0026] Preferably, the calculating the dynamic force value of each wheel per unit time by combining the vertical pressure data and the oblique pressure data, and obtaining the vehicle dynamic force data based on the dynamic force value of each wheel in the weighing area comprises:

[0027] For each wheel, the dynamic forces are calculated by combining the vertical and oblique compression data;

[0028] F = Fv + Fs * sinθ;

[0029] Among them, the vertical force is Fv, the inclined force is Fs, the inclination angle is θ, and F is the resultant force in the vertical direction.

[0030] Preferably, the weighing method further comprises:

[0031] The error analysis of the dynamic force data of the target vehicle is performed. Based on the time the target vehicle travels in the weighing area, the standard error is calculated according to the error detected per unit time:

[0032] The standard error calculation formula is:

[0033]

[0034] Among them, σ is the standard error, δ is the single error, i is a constant, and n is the number of detections of the target vehicle's driving time in the weighing area.

[0035] The present invention provides an automatic weighing system and a weighing method for improving the accuracy of a quartz-type dynamic automobile scale. The system obtains vertical and inclined pressure data respectively by setting a first type and a second type of quartz sensors, and performs data analysis and calculation in combination with a data processing component and a statistical component. The system can fully capture multi-directional forces, improve weighing accuracy, and realize real-time monitoring. The system analyzes pressure data in the vertical direction and inclined direction of automobile travel by setting obliquely arranged quartz sensors, thereby improving the weighing accuracy of the quartz-type weighing system. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 It is a structural schematic diagram of an automatic weighing system for improving the accuracy of a quartz-type dynamic truck scale in an embodiment of the present invention;

[0038] Figure 2 Schematic diagram of the structural arrangement of a quartz weighing sensor in an embodiment of the present invention;

[0039] Figure 3 The present invention is a flow chart of a weighing method for improving the accuracy of a quartz-type dynamic vehicle scale in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Figure 1 The structure diagram of the automatic weighing system for improving the accuracy of a quartz-type dynamic truck scale according to an embodiment of the present invention is shown. Figure 2 The schematic diagram of the structural arrangement of the quartz stone weighing sensor in the embodiment of the present invention is shown. The automatic weighing system comprises: a weighing area 10, a signal acquisition component 20 and a statistical component 50;

[0042] Weighing area 10: formed by splicing several plots of land, the signal acquisition component 20 is arranged in the weighing area, the weighing area 10 is divided into a first weighing belt 11 and a second weighing belt 12 arranged in parallel, the configuration range of the shortest distance between the contour edge of the first weighing belt 11 and the contour edge of the second weighing belt 12 is 2000mm~2200mm, and the setting range of the longest distance between the contour edge of the first weighing belt 11 and the contour edge of the second weighing belt 12 is 3200mm~3400mm. This structural design can cover the wheelbase range of most vehicle models, ensuring that the front and rear wheels of the target vehicle can reach the situation where the front wheels are located on the first weighing belt 11 and the rear wheels are located on the second weighing belt 12 at a certain moment during driving. This layout design can effectively solve the problem of weighing errors caused by differences in wheelbases of different vehicle models.

[0043] Signal acquisition component 20: includes a plurality of quartz sensors, which are arranged at the joint positions of the plurality of plots, and the plurality of quartz sensors include a first type quartz sensor 21 and a second type quartz sensor 22. Different types of quartz sensors are introduced to measure the pressure in the vertical and inclined directions, respectively. Specifically, the first type quartz sensor 21 is used to measure the pressure in the vertical direction, and the second type quartz sensor 22 is introduced to measure the pressure in the inclined direction. This solution can not only maintain the relative simplicity of the system, but also fully capture the multi-dimensional pressure data of the vehicle during driving.

[0044] The data acquisition component 30 is used to acquire the pressure data of the quartz sensor in the weighing area 10, acquire the vertical pressure data of the weighing area 10 based on the first type of quartz sensor 21, and acquire the inclined pressure data of the weighing area 10 based on the second type of quartz sensor 22;

[0045] Data processing component 40: used to obtain the position of each wheel of the vehicle in the weighing area 10, and calculate the dynamic force value of each wheel in unit time in combination with the vertical pressure data and the inclined pressure data, and obtain the vehicle dynamic force data based on the dynamic force value of each wheel in the weighing area 10;

[0046] The statistical component 50 is used to receive the vehicle dynamic force data acquired by the signal acquisition component 20, and calculate the overall weight of the vehicle based on the vehicle dynamic force data.

[0047] The working principle of the present application is as follows: the weighing area 10 is composed of multiple plots of land, which can be set up at the entrances and exits of various places and on the road surface of urban roads. Two types of quartz sensors are arranged at the splicing positions of the plots of land. The first type of quartz sensor 21 is installed vertically to measure the pressure in the vertical direction; the second type of quartz sensor 22 is installed obliquely to capture the pressure in the oblique direction. When a vehicle enters the weighing area 10, the two types of sensors work simultaneously to collect the pressure data in the vertical and oblique directions respectively.

[0048] The data acquisition component 30 collects the data of these sensors in real time and transmits it to the data processing component 40. The data processing component 40 first determines the position of each wheel of the vehicle in the weighing area 10, and then combines the vertical and oblique pressure data to calculate the dynamic force value of each wheel per unit time. This calculation takes into account various dynamic factors during the vehicle's driving process, such as lane changes, shaking, etc.

[0049] The statistical component 50 receives the processed dynamic force data, analyzes the data through a specific algorithm, and finally calculates the overall weight of the vehicle. This method not only takes into account the static weight of the vehicle, but also includes the dynamic changes during driving, thereby improving the accuracy of weighing.

[0050] Specifically, the first type of quartz sensor 21 is configured as a sensor structure of a long strip structure, and the second type of quartz sensor 22 is configured as a plate structure sensor. The first type of quartz sensor 21 of the long strip structure is suitable for collecting pressure data in the vertical direction, and its structural design makes it more sensitive to vertical pressure. The second type of quartz sensor 22 of the plate structure is suitable for collecting pressure data in the inclined direction, and its planar structural design can better sense the pressure changes in the inclined direction.

[0051] Specifically, the first type of quartz sensor 21 with a long strip structure can adopt a cylindrical or prismatic design, and its length direction is perpendicular to the vertical direction, so that the quartz sensor can cover a larger area of ​​the ground, thereby reducing the number of quartz sensors set in the weighing area 10, achieving the effect of simplifying the layout, and at the same time making the coverage range of a single quartz sensor large, increasing the contact area with the target vehicle's wheels, thereby improving the detection reliability of the target vehicle.

[0052] The second type of quartz sensor 22 of plate structure can be designed as a thin sheet, whose plane is at a certain angle to the ground. This structure makes the sensor more sensitive to pressure changes in the tilt direction. For example, the sensor of plate structure can be designed as a rectangular sheet of 5-10 cm long, 3-5 cm wide, and 0.5-1 cm thick, and maintain an inclination angle of 15-30 degrees with the ground to maximize the sensing effect of tilt pressure.

[0053] The combined application of the two sensors can comprehensively collect the force data of the car in all directions during the dynamic weighing process. The long structure sensor is mainly responsible for collecting the pressure data in the vertical direction, while the plate structure sensor focuses on collecting the pressure data in the tilt direction. This configuration enables the system to obtain accurate force information in the vertical and tilt directions at the same time, thereby improving the accuracy of dynamic weighing.

[0054] Furthermore, the present application can set a first receiving groove perpendicular to the ground and a second receiving groove forming an inclined angle with the ground in the weighing area 10. The first type of quartz sensor 21 is configured in the first receiving groove, and the second type of quartz sensor 22 is configured in the second receiving groove. This arrangement further optimizes the working environment of the two sensors, allowing them to better play their respective advantages.

[0055] This dual structure design achieves accurate measurement of vertical and tilted forces during vehicle weighing through differentiated configuration of sensor structures. The combined application of long structure sensors and plate structure sensors can comprehensively collect force data in all directions during dynamic weighing, thus improving the accuracy of dynamic weighing.

[0056] Therefore, the present application solves the technical problem that the traditional quartz sensor cannot accurately obtain the vertical and tilt force data at the same time when measuring the dynamic weight of the car. By using two sensors with different structures, the system can more comprehensively capture the various force conditions of the car during driving, including the vertical pressure during normal driving and the tilt pressure generated when changing lanes or the body shakes. This design significantly improves the accuracy of dynamic weighing and reduces the error caused by the measurement of force in a single direction.

[0057] Specifically, the automatic weighing system further includes a visual recognition component, based on which an initial time when the target vehicle enters the weighing area 10, an end time when the target vehicle leaves the weighing area 10, and a driving area of ​​the target vehicle are obtained.

[0058] The visual recognition component can be implemented in a variety of ways, such as using a high-resolution camera with an image processing algorithm, or using a laser scanner or other equipment. These devices can be installed at the entrance and exit of the weighing area 10, as well as above or on the side of the weighing area 10, to fully capture the driving information of the vehicle.

[0059] Specifically, the visual recognition component can obtain the target vehicle's driving information in the following ways:

[0060] 1. Obtaining the initial time: When the front wheel of the vehicle enters the weighing area 10, the visual recognition component can immediately capture this moment and record it as the initial time. This can be achieved through image recognition technology or laser scanning technology.

[0061] 2. Obtaining the end time: Similarly, when the rear wheels of the vehicle completely leave the weighing area 10, the visual recognition component can capture this moment and record it as the end time.

[0062] 3. Obtaining the driving area: During the entire process of the vehicle passing through the weighing area 10, the visual recognition component can continuously track the position and trajectory of the vehicle to determine its driving area. This can be achieved through real-time image analysis or three-dimensional space scanning.

[0063] This information, combined with data from quartz sensors, can greatly improve the accuracy and reliability of the weighing system. For example, by knowing exactly how long the vehicle is in the weighing area 10, the system can calculate dynamic force data more accurately. At the same time, knowing the specific driving area of ​​the vehicle can help the system better interpret and process sensor data, especially when the vehicle changes lanes or shakes.

[0064] Specifically, the data processing component 40 calculates the numerical directional dynamic force data of the automobile based on the vertical pressure data;

[0065] The dynamic force data of the vehicle wheel in the tilt direction to the ground is calculated based on the tilt pressure data, and the dynamic decomposed force data in the vertical direction is obtained based on the mechanical decomposition.

[0066] First, the vertical dynamic force data of the car is calculated based on the vertical pressure data. This reflects the weight of the car in normal driving state. Secondly, the tilt direction dynamic force data of the car wheel to the ground is calculated based on the tilt pressure data. This reflects the non-vertical force generated when the car changes lanes or the body shakes.

[0067] Specifically, the data processing component 40 can use a variety of methods to achieve the above functions. For example, for the processing of vertical compression data, a time series analysis method such as moving average or exponential smoothing can be used to eliminate short-term fluctuations and obtain more stable vertical dynamic force data. For the processing of inclined compression data, trigonometric function calculation or vector decomposition method can be used to decompose the inclined force into vertical and horizontal components.

[0068] Furthermore, the data processing component 40 decomposes the dynamic force data in the tilt direction by mechanics to obtain its component in the vertical direction. This step can take into account the tilt force that was originally ignored, thereby improving the measurement accuracy. The mechanical decomposition can calculate the component in the vertical direction using the trigonometric function relationship based on the tilt angle and the tilt force.

[0069] Therefore, the technical solution of the present application can more comprehensively capture the influence of various forces on the vehicle during dynamic weighing. By simultaneously considering the forces in the vertical direction and the tilt direction, the limitation of the traditional method of only considering the forces in the vertical direction is overcome, and the actual weight of the vehicle can be calculated more accurately, especially when the vehicle changes lanes or the vehicle body shakes.

[0070] Specifically, the data processing component 40 performs error analysis and correction on the wheel dynamic force data of the target vehicle, and calculates the weight data of the target vehicle based on the corrected wheel dynamic force data.

[0071] The wheel dynamic force data analysis process of the target vehicle is as follows: vertical compression data and tilt compression data are obtained, and time series analysis is performed on the vertical compression data, such as using a 5-second moving average window to eliminate short-term fluctuations. Based on the force deformation state of the second-type quartz sensor, the tilt angle of the tilt compression data is obtained. Using the trigonometric function relationship, the force in the tilt direction is decomposed into vertical and horizontal components. The tilt force is F, and the force component in the vertical direction is F*cos(θ), where θ is the tilt angle of the tilt force data.

[0072] Preferably, the decomposed vertical component is combined with the original vertical compression data to obtain more accurate vertical dynamic force data, and the actual weight of the vehicle is calculated based on the corrected vertical dynamic force data.

[0073] The data processing component 40 processes the wheel dynamic force data through error analysis and correction steps. First, the data processing component 40 receives the raw wheel dynamic force data from the quartz sensor. Then, a systematic error analysis is performed on this data, including identifying and quantifying the measurement errors caused by factors such as vibration and tilt during vehicle driving. Based on the analysis results, the data processing component 40 performs correction processing on the raw data to eliminate or reduce the effects of these errors. Finally, the corrected data is used to calculate the vehicle weight, thereby improving the accuracy of weighing.

[0074] In the specific implementation process, the error analysis correction can be achieved in the following ways: the data processing component 40 uses the Kalman filter algorithm to process the original dynamic force data, which can effectively filter out random noise and system errors. By establishing a mathematical model, the vehicle driving state is used as the system state variable, and the measured value is used as the observed value to achieve real-time correction of the data.

[0075] The data processing component 40 can also use a mean filtering method to average the continuously collected data within a certain time window to reduce the impact of instantaneous fluctuations. At the same time, by setting a reasonable threshold, obviously abnormal data points can be eliminated.

[0076] In addition, the data processing component 40 can establish a dynamic compensation model based on vehicle speed, trajectory and other parameters to compensate for measurement errors under different driving conditions. Through this compensation mechanism, the weighing accuracy under different working conditions is effectively improved.

[0077] Through the error analysis and correction processing of the data processing component 40, the system can effectively eliminate or reduce the measurement errors caused by factors such as vehicle vibration and tilt. The corrected wheel dynamic force data more accurately reflects the actual weight of the vehicle, thereby improving the accuracy of dynamic weighing. This technical solution optimizes the measurement results by data processing, does not require additional hardware equipment, and has the advantages of simple implementation and low cost.

[0078] As a specific embodiment, when performing error analysis and correction, the data processing component 40 first establishes a data processing model based on Kalman filtering. The model regards the wheel dynamic force data as an observed quantity and the actual weight as a state quantity. The system noise variance is set to 0.1, and the measurement noise variance is set to 0.2. In each sampling period (usually 10ms), the model performs real-time filtering on the collected data. At the same time, a dynamic threshold of ±5% is set to eliminate abnormal data. For measurement data with a vehicle speed range of 5-120km / h, a speed compensation coefficient is used for correction, and the compensation coefficient range is 0.95-1.05. After such data processing, the system weighing accuracy is improved by about 30%, and the measurement error is controlled within ±0.5%.

[0079] Embodiment 2:

[0080] Figure 3 A flow chart of a weighing method for improving the accuracy of a quartz-type dynamic vehicle scale in an embodiment of the present invention is shown, and the weighing method includes:

[0081] Based on the signal acquisition component, the pressure data of the target vehicle entering the weighing area is obtained; based on the pressure data, the vertical pressure data and the tilt pressure data of the weighing area are analyzed; the dynamic force value of each wheel per unit time is calculated based on the vertical pressure data and the tilt pressure data, and the vehicle dynamic force data is obtained based on the dynamic force value of each wheel in the weighing area; the overall weight of the vehicle is calculated based on the vehicle dynamic force data obtained by the signal acquisition component.

[0082] The current quartz dynamic vehicle scale precision weighing system uses a quartz sensor to obtain the pressure of the wheels on the ground during the vehicle's driving process, and converts the piezoelectric data of the quartz sensor into the vehicle's dynamic driving data to obtain the vehicle's overall weight. Since the current quartz sensor is mainly set to a position perpendicular to the vehicle's pressure surface, the quartz sensor can measure the vertical driving squeeze data of the vehicle. The forces in other directions caused by the vehicle's lane change and body shaking will interfere with the detection of the quartz sensor, resulting in inaccurate calculation of the vehicle's dynamic scale precision, thereby affecting the calculation accuracy of the vehicle's weight.

[0083] The automatic weighing method proposed in this application solves the limitation that traditional quartz dynamic vehicle scales can only measure vertical pressure by innovatively combining vertical pressure data and tilt pressure data. Specifically, the method first uses a signal acquisition component to obtain the pressure data of the target vehicle, and then analyzes the pressure data in both vertical and tilt directions. This multi-dimensional data acquisition method can more comprehensively reflect the force exerted by the vehicle on the ground, including non-vertical forces caused by lane changes or vehicle body shaking.

[0084] Furthermore, the method combines the vertical pressure data and the inclined pressure data to calculate the dynamic force value of each wheel per unit time. This calculation method takes into account the dynamic characteristics of vehicle movement and can more accurately reflect the actual weight distribution of the vehicle. Based on the dynamic force value of each wheel, the method obtains the dynamic force data of the entire vehicle and finally calculates the overall weight of the vehicle. The workflow of the weighing system is as follows:

[0085] S11: Vehicle entry detection: When a vehicle enters the weighing area, the visual recognition system records the entry time and initial position.

[0086] The weighing area touched by the target vehicle is marked by the visual component so that the weighing system can obtain the detection data of the corresponding quartz sensor and perform weighing calculations.

[0087] S12: Data acquisition: The signal acquisition component continuously collects pressure data, and the sampling frequency can be set to 1000Hz to ensure that sufficiently fine dynamic changes are captured.

[0088] S13: Data classification: The collected data are divided into vertical compression data and inclined compression data. The vertical compression data is directly obtained by the vertically installed sensor, and the inclined compression data is obtained by the inclined installed sensor.

[0089] S14: Dynamic force calculation: For each wheel, the dynamic force is calculated by combining the vertical and tilt compression data within each 10ms time window.

[0090] For example, if the vertical force is Fv, the tilt force is Fs, and the tilt angle is θ, the resultant force F in the vertical direction can be expressed as: F=Fv+Fs*sinθ.

[0091] Vehicle weight calculation: The dynamic force calculated during the entire weighing process is integrated over time to obtain the average weight of the vehicle.

[0092] The calculation formula can be expressed as: W = (∑Fi*Δt) / T;

[0093] Among them, Fi is the dynamic force at each time point, Δt is the time interval, and T is the total weighing time.

[0094] S15: Data correction: Based on factors such as vehicle speed and road conditions, a pre-set correction coefficient is applied to fine-tune the calculation result.

[0095] S16: Result output: Output the final calculated vehicle weight with an accuracy of ±0.5%.

[0096] Compared with the traditional quartz dynamic truck scale, the automatic weighing method of the present application has significant advantages. The traditional method only considers the pressure in the vertical direction, which is easily affected by the vehicle's lane change and shaking, resulting in measurement errors. The present application can capture the dynamic characteristics of the vehicle more comprehensively by considering the pressure data in the vertical and inclined directions at the same time. In addition, the present method introduces dynamic force calculation and data correction steps to further improve the weighing accuracy. For example, in actual tests, for a truck with a total weight of 20 tons, the error of the traditional method may reach ±200kg, while the method of the present application can control the error within ±100kg.

[0097] Through this multi-dimensional data collection and dynamic calculation method, the present application effectively improves the weighing accuracy of the quartz dynamic vehicle scale. It overcomes the measurement errors caused by vehicle lane changes and shaking in traditional methods, and provides more accurate and reliable weighing results for dynamic vehicle scales. This not only improves the reliability of the weighing system, but also provides more accurate data support for related industries such as logistics and transportation, highway tolls, etc.

[0098] The automatic weighing method also includes:

[0099] The error analysis of the dynamic force data of the target vehicle is performed. Based on the time the target vehicle travels in the weighing area, the standard error is calculated according to the error detected per unit time:

[0100] The standard error calculation formula is:

[0101]

[0102] Among them, σ is the standard error, δ is the single error, i is a constant, and n is the number of detections of the target vehicle's driving time in the weighing area.

[0103] By performing error analysis on the data obtained from each detection, the influence of the detection data error on the weight conversion can be reduced, so that when the piezoelectric data is subsequently converted into the weight of the car, the weighing system can take into account the detection error of the quartz sensor and improve the accuracy of the weight conversion.

[0104] An embodiment of the present invention provides a weighing method for improving the accuracy of a quartz dynamic automobile scale. By setting a first type and a second type of quartz sensor to respectively obtain vertical and inclined pressure data, and combining a data processing component and a statistical component to perform data analysis and calculation, it is possible to comprehensively capture multi-directional forces, improve weighing accuracy, and achieve real-time monitoring. By setting an inclined quartz sensor, the pressure data in the vertical direction and the inclined direction of the automobile are analyzed, thereby improving the weighing accuracy of the quartz weighing system.

[0105] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, and the storage medium may include: a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0106] In addition, the above provides a detailed introduction to the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. An automatic weighing system for improving the accuracy of a quartz-type dynamic truck scale, characterized in that: The automatic weighing system comprises: a weighing area, a signal acquisition component and a statistical component; Weighing area: formed by splicing several plots of land, and the signal acquisition component is arranged in the weighing area; Signal acquisition component: comprising a plurality of quartz sensors, the plurality of quartz sensors being arranged at the joint positions of the plurality of plots, the plurality of quartz sensors comprising a first type of quartz sensors and a second type of quartz sensors; Data acquisition component: obtains the pressure data of the quartz sensor in the weighing area, obtains the vertical pressure data of the weighing area based on the first type of quartz sensor, and obtains the inclined pressure data of the weighing area based on the second type of quartz sensor; Data processing component: used to obtain the position of each wheel of the vehicle in the weighing area, and calculate the dynamic force value of each wheel per unit time in combination with the vertical pressure data and the inclined pressure data, and obtain the vehicle dynamic force data based on the dynamic force value of each wheel in the weighing area; Statistics component: used to receive the vehicle dynamic force data acquired by the signal acquisition component, and calculate the overall weight of the vehicle based on the vehicle dynamic force data.

2. The automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 1 is characterized in that: The weighing area is divided into a first weighing belt and a second weighing belt arranged in parallel, and the configuration range of the shortest distance between the contour edge line of the first weighing belt and the contour edge line of the second weighing belt is 2000mm to 2200mm; The longest distance between the contour edge line of the first weighing belt and the contour edge line of the second weighing belt is set in the range of 3200 mm to 3400 mm.

3. The automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 1 is characterized in that: The first type of quartz sensor is configured as a sensor structure with a long strip structure, and the second type of quartz sensor is configured as a sensor with a plate structure.

4. The automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 1 is characterized in that: The weighing area is provided with a first receiving groove perpendicular to the ground and a second receiving groove forming an inclined angle with the ground; The first type of quartz sensor is configured in the first receiving groove, and the second type of quartz sensor is configured in the second receiving groove.

5. The automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 1 is characterized in that: The automatic weighing system also includes a visual recognition component, based on which an initial time when the target vehicle enters the weighing area, an end time when the target vehicle leaves the weighing area, and a driving area of ​​the target vehicle are obtained.

6. The automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 1 is characterized in that: The data processing component calculates the numerical directional dynamic force data of the vehicle based on the vertical compression data; The dynamic force data of the vehicle wheel in the tilt direction to the ground is calculated based on the tilt pressure data, and the dynamic decomposed force data in the vertical direction is obtained based on the mechanical decomposition.

7. The automatic weighing system for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 1 is characterized in that: The data processing component performs error analysis and correction on the wheel dynamic force data of the target vehicle, and calculates the weight data of the target vehicle based on the corrected wheel dynamic force data.

8. An automatic weighing method for improving the accuracy of a quartz-type dynamic vehicle scale, characterized in that: The automatic weighing method is suitable for the automatic weighing system for improving the accuracy of the quartz dynamic vehicle scale according to any one of claims 1 to 7; The automatic weighing method comprises: Acquire the pressure data of the target vehicle entering the weighing area based on the signal acquisition component; Analyze the vertical compression data and the inclined compression data of the weighing area based on the compression data; The dynamic force value of each wheel per unit time is calculated by combining the vertical pressure data and the inclined pressure data, and the vehicle dynamic force data is obtained based on the dynamic force value of each wheel in the weighing area; The overall weight of the vehicle is calculated based on the vehicle dynamic force data acquired by the signal acquisition component.

9. The automatic weighing method for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 8 is characterized in that: The step of calculating the dynamic force value of each wheel per unit time by combining the vertical pressure data and the oblique pressure data, and obtaining the vehicle dynamic force data based on the dynamic force value of each wheel in the weighing area comprises: For each wheel, the dynamic forces are calculated by combining the vertical and oblique compression data; F = Fv + Fs * sinθ; Among them, the vertical force is Fv, the inclined force is Fs, the inclination angle is θ, and F is the resultant force in the vertical direction.

10. The automatic weighing method for improving the accuracy of a quartz-type dynamic vehicle scale according to claim 8, characterized in that: The automatic weighing method also includes: The error analysis of the dynamic force data of the target vehicle is performed. Based on the time the target vehicle travels in the weighing area, the standard error is calculated according to the error detected per unit time: The standard error calculation formula is: Among them, σ is the standard error, δ is the single error, i is a constant, and n is the number of detections of the target vehicle's driving time in the weighing area.

Images