Vehicle weighing method, system and computer-readable storage medium

Abstract

The present invention discloses a vehicle weighing method, system, and computer-readable storage medium. The method comprises: when a vehicle passes by, acquiring tire pressure data M(t) that changes over time, collected by a set of strip-type weighing sensors embedded in a weighing surface, wherein the set of strip-type weighing sensors includes multiple strip-type weighing sensors of different widths located within a detection area of the same lane; and calculating the pressure data M(t) corresponding to each wheel axle of the vehicle based on the width, maximum pressure data M(t) of each strip-type weighing sensor. max (t), obtain unit load pressure data M(s) that varies with displacement; based on the boundary conditions of the pressure data M(s), obtain the tire contact length S; integrate the pressure data M(s) within the interval (-S / 2, S / 2) to determine the tire weight; and determine the total weight of the vehicle based on the weight of each tire. This invention solves the technical problem of inaccurate vehicle dynamic weighing data caused by abnormal vehicle driving.

Description

Technical Field

[0001] The present invention relates to the field of dynamic weighing, and in particular to a vehicle weighing method, system and computer-readable storage medium. Background Art

[0002] In related technologies, there are two methods for dynamic weighing on highways: complete weighing and incomplete weighing. For incomplete weighing, a strip sensor with a width smaller than the ground contact length of the wheel in the driving direction is usually used. The vehicle load is obtained by integrating the waveform curve of the vehicle passing through the sensor and multiplying it by the speed. However, this method has high requirements for the speed data collection of the vehicle passing through the sensor. When the driver performs abnormal driving behaviors such as emergency acceleration and deceleration, sudden stop, reversing, and S-bend, it will affect the obtained weighing data, reducing the accuracy of the weighing data.

[0003] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0004] Embodiments of the present invention provide a vehicle weighing method, system, and computer-readable storage medium to at least solve the technical problem of inaccurate vehicle dynamic weighing data caused by abnormal vehicle driving.

[0005] According to one aspect of an embodiment of the present invention, a vehicle weighing method is provided, comprising: when a vehicle passes by, obtaining time-varying tire pressure data M(t) collected by a group of strip-type weighing sensors embedded in a weighing surface, wherein the group of strip-type weighing sensors includes multiple strip-type weighing sensors of different widths located within a detection area of the same lane; and according to the pressure data M(t) corresponding to each wheel axle of the vehicle, calculating the maximum pressure data M(t) according to the width of each strip-type weighing sensor. max (t), obtain the unit load-bearing pressure data M(s) that changes with displacement; based on the boundary conditions of the pressure data M(s), obtain the tire's contact length S; integrate the pressure data M(s) in the interval (-S / 2, S / 2) to determine the tire weight; and based on the weight of each tire, determine the total weight of the vehicle.

[0006] Optionally, obtaining the pressure data M(s) that changes with displacement includes: establishing a balance equation of tire weight G, tire gas pressure F, and tire tension T based on a tire force model, and determining a function G(s) of the tire weight G with respect to the tire contact length S; differentiating the function G(s) of the tire weight G with respect to the tire contact length S in the displacement direction to obtain a unit bearing pressure M(s), and calculating the unit bearing pressure M(s) based on Mi(s) and the width W of the strip load cell. i and maximum pressure data M i-max(t) Establish a set of equations to determine the constraint parameters of the unit bearing pressure M(s), where i is the number of the bar load cell; determine M(s) based on the constraint parameters of M(s).

[0007] Optionally, the tire contact length S is obtained based on the boundary conditions of the pressure data M(s), including: the boundary conditions of the pressure data M(s) are M(-S / 2)=M(S / 2)=0, thereby determining the tire contact length S.

[0008] According to one aspect of an embodiment of the present invention, a vehicle weighing device is provided, comprising: a group of strip-type weighing sensors, including multiple strip-type weighing sensors of different widths located in a detection area of the same lane, the strip-type weighing sensors embedded in a weighing surface, and used to obtain time-varying tire pressure data M(t) when a vehicle passes by; a data processing device electrically connected to the strip-type weighing sensors, and used to calculate the pressure data M(t) corresponding to each wheel axle of the vehicle according to the width of each strip-type weighing sensor, the maximum pressure data M(t), and the pressure data M(t) of each wheel axle of the vehicle. max (t), obtain the unit load-bearing pressure data M(s) that changes with displacement; obtain the tire's ground contact length S based on the boundary conditions of the pressure data M(s); and, integrate the pressure data M(s) in the interval (-S / 2, S / 2) to determine the tire weight; and determine the total weight of the vehicle based on the weight of each tire.

[0009] Optionally, a data processing device for obtaining displacement-varying pressure data M(s) is specifically used to: establish a balance equation of tire weight G, tire gas pressure F, and tire tension T based on the tire force model, and determine the function G(s) of the tire weight G with respect to the tire contact length S; differentiate the function G(s) of the tire weight G with respect to the tire contact length S in the displacement direction to obtain the unit bearing pressure M(s), and calculate the unit bearing pressure M(s) based on Mi(s), the width Wi of the strip load cell, and the maximum pressure data. Establish a set of equations to determine the constraint parameters of the unit bearing pressure M(s), where i is the number of the strip load cell; determine M(s) based on the constraint parameters of M(s).

[0010] Optionally, a data processing device is used to obtain the ground contact length S of the tire based on the boundary conditions of the pressure data M(s), specifically used to: the boundary conditions of the pressure data M(s) are M(-S / 2)=M(S / 2)=0, thereby determining the ground contact length S of the tire.

[0011] Optionally, a group of strip-type load cells includes strip-type load cells of at least three widths.

[0012] Optionally, a group of strip-type weighing sensors includes: one row of strip-type weighing sensors, one row of strip-type weighing sensors includes three strip-type weighing sensors arranged in sequence along the lane direction and with different widths, and the length of each strip-type weighing sensor is greater than the vehicle width; or, two rows of strip-type weighing sensors, each row of strip-type weighing sensors includes three strip-type weighing sensors arranged in sequence along the lane direction and with different widths.

[0013] According to one aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, any of the above methods is implemented.

[0014] According to one aspect of an embodiment of the present invention, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to execute any one of the above methods through the computer program.

[0015] In an embodiment of the present invention, weighing measurements are performed using strip-type weighing sensors of different widths, and a set of mechanical equations is solved. Based on the widths and weight peaks corresponding to the multiple strip-type weighing sensors, a target relationship between the ground contact pressure of the target vehicle on the weighing surface and the tire ground contact length of the target vehicle is determined. Vehicle load information of the target vehicle is determined based on the upper and lower scale positions of the target vehicle and the target relationship determined above. Because the target relationship is a mechanical relationship that is independent of the vehicle's speed, the vehicle load information determined by this method is not affected by the target vehicle's speed on the weighing surface. This achieves the purpose of accurately determining the target vehicle's vehicle load information and correcting the target vehicle's initial weighing data based on the vehicle load information. This achieves the technical effect of accurately determining the target vehicle's weighing data even when the target vehicle is driving abnormally on the weighing surface, thereby resolving the technical problem of inaccurate vehicle dynamic weighing data caused by abnormal vehicle driving. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0017] Figure 1 is a flow chart of a method for correcting weighing data according to an embodiment of the present invention;

[0018] Figure 2 is a schematic diagram of strip sensors of different widths provided according to an optional embodiment of the present invention;

[0019] Figure 3is a parameter diagram provided according to an optional embodiment of the present invention;

[0020] Figure 4 is a schematic diagram of pressure distribution within a tire ballast area according to an optional embodiment of the present invention;

[0021] Figure 5 2 is a schematic diagram of a system for correcting weighing data according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described 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 making creative efforts should fall within the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] According to an embodiment of the present invention, an embodiment of a method for correcting weighing data is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0025] Figure 1 : is a flow chart of a method for correcting weighing data according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps:

[0026] Step S101, obtaining tire pressure data M(t) that changes over time, collected by a group of strip-type weighing sensors embedded in a weighing surface;

[0027] Step S102: Establishing a balance equation for tire weight G, tire air pressure F, and tire tension T based on the tire force model, and determining a function G(s) of the tire weight G with respect to the tire contact length S;

[0028] Step S103: Differentiate the function G(s) of the tire weight G with respect to the tire contact length S in the displacement direction to obtain the unit bearing pressure M(s) of the tire that changes with displacement;

[0029] Step S104: Based on the unit bearing pressure M(s) of the tire, the width w of the strip load cell and the maximum pressure data M max (t) Establish a system of equations to determine the constraint parameters of the unit bearing pressure M(s);

[0030] Step S105, determining M(s) according to the constraint parameters of the unit bearing pressure M(s);

[0031] Step S106, obtaining the tire contact length S according to the boundary condition of the unit bearing pressure M(s);

[0032] Step S107, based on the obtained contact length S, integrate the pressure data M(s) within the interval (-S / 2, S / 2) to determine the weight of the tire;

[0033] In step S108 , the total weight W of the vehicle is determined based on the weight Gi of each tire.

[0034] Through the above steps, the tire pressure data M(t) that changes with time and is collected by multiple strip load cells with different widths in the detection area of the same lane is combined with the width and maximum pressure data Mm of each strip load cell. ax (t), obtain unit load pressure data M(s) that changes with displacement; based on the boundary conditions of the pressure data M(s), obtain the tire's contact length S; integrate the pressure data M(s) within the tire's contact length S interval to determine the tire's weight; and based on the weight of each tire, determine the vehicle's total weight. Since the above-mentioned weighing calculation method is a mechanical relationship that is independent of the vehicle's driving speed, the vehicle load information determined by this method will not be affected by the target vehicle's driving speed on the weighing surface. This achieves the technical effect of accurately determining the target vehicle's weighing data even when the target vehicle is driving abnormally on the weighing surface, thereby solving the technical problem of inaccurate vehicle dynamic weighing data caused by abnormal vehicle driving.

[0035] As an optional embodiment, a set of strip load cells includes strip load cells of at least three widths. Since this embodiment determines the vehicle load information of the target vehicle only through mechanical relationships, this embodiment uses multiple strip load cells of different widths to collect the tire pressure data M(t) that changes with time. Based on the equation model of the unit load pressure data M(s) that changes with the displacement of the tire, combined with the maximum pressure data M max (t) and the width w of each strip load cell are used to construct multiple equations regarding the target relationship, forming a set of target relationship equations. By solving these equations, the unit load pressure data M(s) of the tire as it changes with displacement can be determined. In other words, this embodiment can provide the data required to determine whether mechanical balance is satisfied by using strip load cells of varying widths.

[0036] It should be noted that the number of the above-mentioned strip weighing sensors can be more than three, which can be determined according to the number of pending parameters in the target relationship, and the position and layout of each strip weighing sensor in the weighing surface can also be specifically set according to actual weighing requirements. For example, it can be a straight layout, a staggered layout, etc.

[0037] As an optional embodiment, a balance equation for tire weight G, tire air pressure F, and tire tension T is established based on the tire force balance model. The function G(s) of tire weight G with respect to tire contact length s can be determined by referring to the following formula:

[0038] F+T=G

[0039] F=p*l*s

[0040] T=a*s 3 +b*s 2 +cs+d

[0041] Then we can get: G(s)=p*l*s+a*s 3 +b*s 2 +c*s+d

[0042] Where F is the gas pressure of the tire in the contact area, T is the tension of the tire tread under load, G is the tire weight (i.e., wheel load), p is the overall tire pressure, l is the tire contact width, s is the tire contact length, and a, b, and c are the constraint parameters of the tension T relative to the tire contact length s.

[0043] In the above equation for the relationship between the tire weight G and the function G(s) of the tire contact length s, there are many unknown parameters, namely, the relationship constraint parameters and the tire contact length.

[0044] As an optional embodiment, the function G(s) of the tire weight G with respect to the tire contact length S is differentiated in the displacement direction to obtain the relationship equation between the unit bearing pressure M(s) and the tire contact length s. The differentiation result is as follows:

[0045] G'(s)=M(s)=3a*s 2 +2b*s+c+p*l

[0046] Where M(s) is the unit bearing pressure, which represents the linear pressure of the tire on the ground along the driving direction.

[0047] Because the pressure on both sides of the contact length within the ballast area between the tire and the weighing surface is symmetrically distributed relative to the center of the ballast area, the tire contact length can be divided into two parts with the center of the ballast area as the zero point. That is, the center of the ballast area is used as the zero point of the tire contact length s, and the positions -s / 2 and s / 2 are respectively determined as the upper and lower scale positions. Therefore, the M(s) data curve exhibits a quadratic function symmetric along the Y axis. That is, the axis of symmetry of the M(s) data curve is 0.

[0048] Establish the coordinate axis to solve the equation, namely:

[0049] 2b / (-2*3*a)=0

[0050] The solution is:

[0051] b=0

[0052] Where, let the constant e=c+p*l

[0053] Then, the unit bearing pressure M(s) is the curve equation about the position parameter s and the constraint parameters a and e.

[0054] As an optional embodiment, the tire passes over a set of strip load cells, and the pressure data M(t) of the strip load cells over their weighing width W can be obtained. By integrating the unit load pressure M(s) over the boundary adjusted to (k, k+W), the pressure data collected by the strip load cells at a certain moment can be obtained, namely:

[0055]

[0056] When the center of the tire is loaded directly above the center of the strip load cell, that is, the tire's center of gravity is at the zero point of the unit pressure data M(s), the data curve of the unit load pressure M(s) shows a symmetrical distribution relative to the center of the strip load cell. At this time, the strip load cell can obtain the maximum pressure data M on its weighing width w. max(t). A set of strip weighing sensors includes strip weighing sensors of at least three widths, that is, at least the maximum pressure data M of the strip weighing sensors at their weighing widths w1, w2, and w3 can be obtained. 1max , M 2max , M 3max , here they are set as A1, A2, A3 respectively. Where i is the number of the bar type weighing sensor.

[0057] Based on the above explanation, the unit load pressure M(s) is integrated over the region (-w1 / 2, -w1 / 2), which is the peak values A1, A2, and A3 of the pressure data curve M(t). Substituting the peak values of the weights of the various bar load cells, the unknown constraint parameters in the mechanical equilibrium relationship are solved. The following formula can be used to form a system of equations and then solve them:

[0058]

[0059] By solving the above equations, the constraint parameters a and e of the unit bearing pressure M(s) are determined.

[0060] As an optional embodiment, the unit bearing pressure M(s) curve is an axisymmetric curve that is symmetrically distributed relative to the center of the tire's ballast area. Within its boundary conditions (-S / 2, S / 2), M(-S / 2)=M(S / 2)=0 is satisfied. This relationship is solved to determine the tire's ground contact length S.

[0061] Based on the above embodiment, the tire weight G can be obtained by integrating the unit load pressure M(s) over the entire interval of its boundary conditions (-S / 2, S / 2).

[0062] Based on the above embodiment, the weight G of each tire i By summing them up, we can determine the total weight W of the vehicle.

[0063] As an optional embodiment, the above method is used for weight calculation in vehicle dynamic weighing. When performing vehicle dynamic weighing, the existing technology integrates the waveform curve of the vehicle passing the sensor and multiplies it by the speed to obtain the vehicle load. However, this method has high requirements for the speed data collection of the vehicle passing the sensor. When the driver performs abnormal driving behaviors such as emergency acceleration and deceleration, sudden stops, reversing, and driving around S-bends, it will affect the obtained weighing data, reducing the accuracy of the weighing data. However, this embodiment uses multiple groups of bar-type weighing sensors with different widths to obtain multiple different data sets related to the vehicle load. By establishing a mechanical model of the tire and road load-bearing area, the obtained data set can be used to analyze the mechanical model equation and then solve the vehicle load without being affected by the vehicle's driving speed. Therefore, this embodiment greatly improves the accuracy of vehicle dynamic weighing.

[0064] Based on the above embodiments and optional embodiments, the present invention proposes an optional implementation manner, which is described below.

[0065] An optional embodiment of the present invention proposes a weight calculation method for dynamic weighing of vehicles. An optional embodiment of the present invention sets the width dimensions of the strip weighing sensors in different rows to be inconsistent. Figure 2 is a schematic diagram of strip sensors of different widths provided according to an optional embodiment of the present invention, such as Figure 2 As shown in FIG, the widths of the different strip-type weighing sensors are w1, w2, and w3, respectively. The strip-type sensors are not limited to a straight-line layout or a staggered layout.

[0066] Vehicle load is applied to the road surface through the tires. Sensors embedded in the road surface collect information about the load applied by the tires. Assuming the contact pressure between the tire and the road surface is N, the vehicle load can be determined by integrating the contact pressure information from multiple tires. For the tire tread, the sum of the tire pressure F on the load-bearing surface and the tension T on the tire tread under load is in equilibrium with the contact pressure N in a direction perpendicular to the road surface.

[0067] Right now:

[0068] F+T=N

[0069] in,

[0070] F=p*l*s

[0071] The tension T is combined with tire dynamics to establish an empirical tire tension model. The mathematical relationship is expressed as follows:

[0072] T=a*s 3 +b*s+c

[0073] Where p is the tire pressure, l is the tire contact width, s is the tire contact length, and a, b, and c are the constraint parameters of the tension T relative to the tire contact length s. Figure 3 It is a parameter diagram provided according to an optional embodiment of the present invention.

[0074] Based on the above force balance equation, we can get:

[0075] pls+as 3 +bs+c=N

[0076] Establish an equation for the tire contact length s:

[0077] N(s)=pls+as 3 +bs+c

[0078] Differentiating the contact pressure equation N(s), we can obtain the unit bearing pressure of the tire ballast area on the road in the driving direction, that is, N ′ (s) represents the horizontal pressure of the tire ballast area.

[0079] N ′ (s)=3as 2 +b+pl

[0080] Figure 4 FIG. 1 is a schematic diagram of pressure distribution within a tire ballast area according to an optional embodiment of the present invention. Figure 4 As shown, with the center of the tire ballast area as the zero point, the pressure on both sides is symmetrically distributed relative to the center position.

[0081] When the tire passes over the strip sensor surface, and The position is the tire upper scale position and the lower scale position, that is,

[0082]

[0083] When the center of the tire is directly above the center of the strip sensor, the collector can obtain the peak value of the strip sensor weight data. The peak values of the weight data of the wheel load acting on the strip sensor with widths w1, w2, and w3 are A1, A2, and A3 respectively.

[0084] From this, we can obtain the equation system:

[0085]

[0086] By solving the above four-dimensional equations, we can obtain p*l, the constraint parameters a and b of the mathematical equation of the tire tension empirical model, and the tire contact length s.

[0087] The ground contact pressure N between the tire and the road can be calculated using the following equation:

[0088]

[0089] In summary, an optional embodiment of the present invention utilizes the peak value of tire ballast directly above multiple groups of strip sensors of different widths, and obtains vehicle load information by skipping the parameter of vehicle speed in the form of an analytical equation group. This can correct the accuracy of dynamic weighing data when the vehicle is driving abnormally.

[0090] According to an embodiment of the present invention, a vehicle weighing device is also provided. Figure 5 Schematic diagram of a vehicle weighing device according to an embodiment of the present invention. Figure 5 As shown, the system includes: a group of strip type weighing sensors 51 and a data processing device 52, which will be described below.

[0091] A group of strip-type weighing sensors 51 includes multiple strip-type weighing sensors of different widths located in a detection area of the same lane. The strip-type weighing sensors are embedded in the weighing surface and are used to obtain time-varying pressure data M(t) of the tire when a vehicle passes by; a data processing device 52 is electrically connected to the strip-type weighing sensors and is used to obtain unit load pressure data M(s) that varies with displacement based on the pressure data M(t) corresponding to each wheel axle of the vehicle and the width and maximum pressure data Mmax(t) of each strip-type weighing sensor; the ground contact length S of the tire is obtained based on the boundary conditions of the pressure data M(s); and the pressure data M(s) is integrated in the interval (-S / 2, S / 2) to determine the weight of the tire; and the total weight of the vehicle is determined based on the weight of each tire.

[0092] As an optional embodiment, a data processing device for obtaining displacement-varying pressure data M(s) is specifically configured to: establish a balance equation for tire weight G, tire gas pressure F, and tire tension T based on a tire force model, and determine a function G(s) of the tire weight G with respect to the tire contact length S; differentiate the function G(s) of the tire weight G with respect to the tire contact length S in the displacement direction to obtain a unit bearing pressure M(s), and calculate the unit bearing pressure M(s) based on Mi(s), the width Wi of the strip load cell, and the maximum pressure data. Establish a set of equations to determine the constraint parameters of the unit bearing pressure M(s), where i is the number of the strip load cell; determine M(s) based on the constraint parameters of M(s).

[0093] As an optional embodiment, a data processing device is provided for obtaining the contact length S of the tire based on the boundary conditions of the pressure data M(s), specifically for determining the contact length S of the tire based on the boundary conditions of the pressure data M(s) being M(-S / 2)=M(S / 2)=0.

[0094] As an optional embodiment, a group of strip-type load cells includes strip-type load cells of at least three widths.

[0095] As an optional embodiment, a group of strip-type weighing sensors includes: one column of strip-type weighing sensors, one column of strip-type weighing sensors includes three strip-type weighing sensors arranged in sequence along the lane direction and with different widths, and the length of each strip-type weighing sensor is greater than the vehicle width; or, two columns of strip-type weighing sensors, each column of strip-type weighing sensors includes three strip-type weighing sensors arranged in sequence along the lane direction and with different widths.

[0096] According to an embodiment of the present invention, a computer-readable storage medium is further provided, which includes a stored program, wherein when the program is run, the device where the computer-readable storage medium is located is controlled to execute any of the above-mentioned vehicle weighing methods.

[0097] According to an embodiment of the present invention, a computer device is also provided, comprising: a memory and a processor, wherein the memory stores a computer program; and the processor is configured to execute the computer program stored in the memory, wherein when the computer program is executed, the processor executes any one of the above-mentioned vehicle weighing methods.

[0098] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0099] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0100] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0101] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0102] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0103] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0104] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A vehicle weighing method, characterized in that: include: When a vehicle passes by, the tire pressure data M(t) that changes over time is acquired by a set of strip load cells embedded in the weighing surface, wherein the set of strip load cells includes multiple strip load cells of different widths located within a detection area of the same lane; According to the pressure data M(t) corresponding to each wheel axle of the vehicle, according to the width of each weighing sensor, the maximum pressure data M max (t), obtain the unit bearing pressure data M(s) that changes with displacement; According to the boundary conditions of the pressure data M(s), the tire contact length S is obtained; Integrating the pressure data M(s) within the interval (-S / 2, S / 2) to determine the weight of the tire; The total weight of the vehicle is determined based on the weight of each of the tires.

2. The vehicle weighing method according to claim 1, wherein: The obtaining of pressure data M(s) varying with displacement includes: Establishing a balance equation of tire weight G, tire gas pressure F, and tire tension T based on a tire force model, and determining a function G(s) of the tire weight G with respect to the tire contact length S; Differentiate the tire weight G with respect to the tire contact length S in the displacement direction to obtain the unit bearing pressure M(s), and then calculate the unit bearing pressure M(s) based on M. i (s), width W of the strip load cell i and maximum pressure data M imax (t) establishing a set of equations to determine the constraint parameters of the unit bearing pressure M(s), wherein i is the number of the strip load cell; M(s) is determined according to the constraint parameters of M(s).

3. The vehicle weighing method according to claim 2, wherein: Obtaining the tire contact length S based on the boundary conditions of the pressure data M(s) includes: The boundary condition of the pressure data M(s) is M(-S / 2)=M(S / 2)=0, thereby determining the ground contact length S of the tire.

4. A vehicle weighing device, characterized in that: include: A set of strip load cells, including multiple strip load cells of different widths located within a detection area of the same lane, the strip load cells being embedded in a weighing surface and configured to acquire tire pressure data M(t) over time when a vehicle passes by; a data processing device electrically connected to the strip load cell, configured to obtain displacement-dependent unit load pressure data M(s) based on the pressure data M(t) corresponding to each wheel axle of the vehicle, the width of each strip load cell, and the maximum pressure data Mmax(t); and to obtain the tire contact length S based on the boundary conditions of the pressure data M(s); Furthermore, the pressure data M(s) is integrated within the interval (-S / 2, S / 2) to determine the weight of the tire; and the total weight of the vehicle is determined based on the weight of each tire.

5. The vehicle weighing device according to claim 4, characterized in that: A data processing device for obtaining pressure data M(s) that varies with displacement, specifically for: Establishing a balance equation of tire weight G, tire gas pressure F, and tire tension T based on a tire force model, and determining a function G(s) of the tire weight G with respect to the tire contact length S; Differentiate the tire weight G with respect to the tire contact length S in the displacement direction to obtain the unit bearing pressure M(s), and then calculate the unit bearing pressure M(s) based on M. i (s), width W of the strip load cell i and maximum pressure data M imax (t) establishing a set of equations to determine the constraint parameters of the unit bearing pressure M(s), wherein i is the number of the strip load cell; M(s) is determined according to the constraint parameters of M(s).

6. The vehicle weighing device according to claim 5, characterized in that: A data processing device for obtaining a tire contact length S based on boundary conditions of the pressure data M(s), specifically for: The boundary condition of the pressure data M(s) is M(-S / 2)=M(S / 2)=0, thereby determining the ground contact length S of the tire.

7. The vehicle weighing device according to claim 4, characterized in that: The set of strip load cells includes strip load cells of at least three widths.

8. The vehicle weighing device according to claim 7, wherein: The set of strip type load cells comprises: A row of strip-type weighing sensors, wherein the row of strip-type weighing sensors comprises three strip-type weighing sensors arranged in sequence along the lane direction and having different widths, and the length of each strip-type weighing sensor is greater than the width of the vehicle; or There are two rows of strip-type weighing sensors, and each row of strip-type weighing sensors includes three strip-type weighing sensors which are sequentially arranged along the lane direction and have different widths.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to execute the method according to any one of claims 1 to 3 through the computer program.

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