CN-117848472-B - Slope piezoelectric intelligent pavement weighing characterization method based on multi-axis heavy vehicle

CN117848472BCN 117848472 BCN117848472 BCN 117848472BCN-117848472-B

Abstract

The invention provides a slope piezoelectric intelligent pavement weighing characterization method based on a multi-axis heavy vehicle, which comprises the steps of firstly selecting a pavement to be tested, and arranging a piezoelectric sensor array on the section of the pavement to be tested to form an intelligent pavement; the method comprises the steps of converting mechanical strain into charge signals through piezoresistance effect of a piezoelectric sensor when a vehicle passes through an intelligent road surface, outputting the charge signals, generating corresponding voltage signals through a charge-voltage converter, combining sensitivity information on the piezoelectric sensor to establish a relation between voltage and pressure, determining the position of each wheel of the vehicle based on pressure distribution data, calculating the speed of the vehicle by combining time interval and position data of the wheels, establishing a relation between pressure and load based on the pressure data and the position information of the wheels, and further calculating the weight exerted by each wheel. The invention can obviously improve the weighing precision under the condition of a slope road surface and provides a more reliable and efficient solution to the weighing problem of the multi-axle heavy vehicle.

Inventors

BAO CHAO
LONG HUAN
CAO JIXING
MA XIAOTONG
FAN QI
BAI PENGCHENG

Assignees

宁夏大学

Dates

Publication Date: 20260512
Application Date: 20240109

Claims (3)

1. The slope piezoelectric intelligent pavement weighing characterization method based on the multi-axis heavy vehicle is characterized by comprising the following steps of: S1, selecting a pavement to be tested, arranging a piezoelectric sensor array on the section of the pavement to be tested to form an intelligent pavement, and measuring pressure distribution generated when a vehicle passes through; S2, when the vehicle passes through the intelligent pavement, the applied axial pressure causes the piezoelectric material of the piezoelectric sensor to generate strain, and the mechanical strain is converted into a charge signal through the positive piezoelectric effect of the piezoelectric sensor to be output; S3, generating a corresponding voltage signal through a charge-voltage converter based on the charge signal generated in the step S2; s4, utilizing the voltage signal obtained in the step S3 and combining sensitivity information on the piezoelectric sensor to establish a relation between voltage and pressure; S5, analyzing the pressure distribution data based on the step S4, and determining the position of each wheel of the vehicle; s6, calculating the vehicle speed by combining the wheel position information obtained in the step S5 with the time interval and the position data of the wheels; S7, based on the pressure data and the wheel position information measured in the step S5, establishing a relation between the pressure and the load, and further calculating the weight applied by each wheel; the piezoelectric material used in step S2 is a piezoelectric ceramic PZ, the charge-voltage converter in step S3 comprises a capacitive element having a charge proportional to the input signal, and the voltage signal generated when the charge passes through the capacitor is proportional to the charge amount, and the voltage V is calculated by the following formula: wherein Q represents the charge amount generated by the piezoelectric sensor, and C represents the capacitance; the specific method of step S7 is as follows: the pressure and load relation is converted by a piezoelectric sensor sensitivity formula, and is expressed by the following formula: Where P j represents the applied pressure of wheel j, V j represents the voltage at which wheel j corresponds to P j , Representing the piezoelectric sensor sensitivity, provided by the manufacturer of the piezoelectric sensor; The calculation of each wheel load is performed by substituting the applied pressure P j of the wheel j into the following formula: where F j represents the load of wheel j, P j represents the applied pressure of wheel j, and A j represents the contact area of wheel j with the ground; the wheel loads F j are taken into the following equation to find the total vehicle load: in the above formula, F represents the total vehicle load, As a slope angle, n represents the number of wheels; The total vehicle load F is carried into the following formula to obtain the total vehicle weight: In the above formula, G m represents the total vehicle weight, and G represents the gravitational acceleration.
2. The method for weighing and characterizing the slope piezoelectric intelligent pavement based on the multi-axis heavy vehicle according to claim 1, wherein in the step S1, the pavement to be measured is selected from at least three pavement sections of the slope pavement, the length of each pavement section is the width of the pavement section, and the piezoelectric sensor is arranged at a depth of 0.4m along the pavement surface of the section of the pavement.
3. The method for weighing and characterizing the slope piezoelectric intelligent pavement based on the multi-axle heavy vehicle according to claim 2, wherein each section of pavement to be tested adopts staggered insertion type measuring points, the size of each piezoelectric sensor is 100 multiplied by 100mm 3 , and the piezoelectric sensors are arranged in two rows and 18 columns along the length direction of the pavement; the piezoelectric sensor pitch between adjacent columns is 100mm, while the total width of the piezoelectric sensor array is set to 3.5 m.

Description

Slope piezoelectric intelligent pavement weighing characterization method based on multi-axis heavy vehicle Technical Field The invention relates to the field of civil engineering, in particular to a slope piezoelectric intelligent pavement weighing characterization method based on a multi-axis heavy vehicle. Background Along with the gradual increase of expressways in China and the gradual increase of market competition in the automobile transportation industry, the number of large-sized trucks on the expressways is gradually increased. In pursuit of higher profits, some owners are transporting over-limit overload, however, this behavior not only causes serious damage to the transportation market and road infrastructure, but also easily causes traffic accidents. Therefore, in order to maintain the life safety of transportation markets, road facilities, and people, it is urgent to strictly limit overload transportation vehicles. In the field of weighing of multi-axle heavy vehicles, the prior art generally employs conventional weighing systems, which are limited in accuracy and stability on sloped road surfaces. To overcome these limitations, in recent years, piezoelectric intelligent road surface weighing technology has grown in corner of the road. The piezoelectric sensor can acquire pressure information when a vehicle passes through the road surface in real time by measuring pressure distribution on the road surface. However, in practical applications, multi-axle heavy vehicles often face road surfaces of different grades, which presents a series of challenges for traditional piezo-electric intelligent road surface weighing. In order to solve the problem of accurate weighing under the condition of slope pavement, a novel algorithm is needed, and the algorithm can effectively process the weighing condition of the multi-axle heavy vehicle on the pavement with different slopes. Therefore, a slope piezoelectric intelligent road surface weighing characterization algorithm based on a multi-axis heavy vehicle is proposed. The algorithm utilizes the technical means of finite element model, time identification, correlation analysis and the like to realize accurate characterization of parameters such as the number of vehicle axles, weight of each axle, vehicle speed, gravity center and the like. Through the innovative algorithm, the weighing precision and the system stability under the condition of a slope pavement can be remarkably improved, and a more reliable and efficient solution is provided for the weighing problem of the multi-axle heavy vehicle. Disclosure of Invention The invention aims to solve the technical problems and realize the scheme, and provides a slope piezoelectric intelligent pavement weighing characterization method based on a multi-axis heavy vehicle. The invention provides a slope piezoelectric intelligent pavement weighing characterization method based on a multi-axis heavy vehicle, which comprises the following steps: S1, selecting a pavement to be tested, arranging a piezoelectric sensor array on the section of the pavement to be tested to form an intelligent pavement, and measuring pressure distribution generated when a vehicle passes through; S2, when the vehicle passes through the intelligent pavement, the applied axial pressure causes the piezoelectric material of the piezoelectric sensor to generate strain, and the mechanical strain is converted into a charge signal through the positive piezoelectric effect of the piezoelectric sensor to be output; S3, generating a corresponding voltage signal through a charge-voltage converter based on the charge signal generated in the step S2; s4, utilizing the voltage signal obtained in the step S3 and combining sensitivity information on the piezoelectric sensor to establish a relation between voltage and pressure; S5, analyzing the pressure distribution data based on the step S4, and determining the position of each wheel of the vehicle; s6, calculating the vehicle speed by combining the wheel position information obtained in the step S5 with the time interval and the position data of the wheels; and S7, based on the pressure data and the wheel position information measured in the step S5, establishing a relation between the pressure and the load, and further calculating the weight applied by each wheel. Further, in the step S1, the pavement to be detected is selected from at least three sections of pavement in the slope pavement section, the length of each section of pavement is the width of the section of pavement, and the piezoelectric sensor is arranged at the depth of 0.4m of the section of pavement along the pavement surface. Further, the piezoelectric sensors on each section of road surface to be measured adopt staggered insertion-empty-arrangement measuring points, and the size of each piezoelectric sensor is as followsMm 3, the piezoelectric sensors are arranged in two rows of 18 columns along the length of the road surface, the piezo