CN-121999364-A - Road surface state evaluation method and system based on multidimensional index

CN121999364ACN 121999364 ACN121999364 ACN 121999364ACN-121999364-A

Abstract

The invention discloses a road surface state evaluation method and system based on multidimensional indexes, which relates to the technical field of intelligent management and comprises the following steps of according to a backward reflection light power formula and a preset reflection test method, and calculating the backward reflected light power fed back by the road surface, judging the road surface medium, constructing a mapping relation between the environment parameter and the road surface parameter, and classifying the road surface medium. According to the invention, the road surface state recognition accuracy is improved by fusing the optical reflection characteristics with the environment parameter mapping, the detection mode based on the optical reflection is quick in response, the near-real-time state update can be realized by combining the pre-training mapping model, the environment-road surface mapping is constructed by utilizing the historical data, the road surface structure is not required to be damaged, the maintenance cost is reduced, the method is suitable for various scenes such as highways, bridges and tunnels, the optical signals are easily influenced by pollution and illumination changes, the environment parameters are introduced as auxiliary dimensions, and false alarm is effectively inhibited.

Inventors

XU XUBO
LI CHUNYANG
JIA ZHONGZHOU
WEI WEI
WU HUAJUN
FANG WENBIN
HUANG BENCAI
WU YAFENG

Assignees

丽水市直属公路港航管理中心

Dates

Publication Date: 20260508
Application Date: 20260121

Claims (10)

1. The road surface state evaluation method based on the multidimensional index is characterized by comprising the following steps of S100, calculating the backward reflection light power fed back by the road surface according to a backward reflection light power formula and a preset reflection test method, and judging the road surface medium according to the calculated backward reflection light power; Step S200, constructing a mapping relation between environmental parameters and road surface parameters according to historical road surface data; step S300, classifying the pavement media according to the mapping relation.
2. The method for evaluating the state of a highway pavement based on multi-dimensional indexes according to claim 1, wherein the reflection test method comprises the steps of selecting any divided square, obtaining a detector with a first size, wherein the first size is expressed as that the diameter of a detection surface of the detector is a first length, setting the thickness of a pavement medium to be a first value, setting an incident angle to be a first angle, setting the incident light intensity to be a first light intensity, setting the vertical distance between the geometric center point of the detector and the highway pavement to be a first distance, and starting test equipment to emit electromagnetic waves with a first wavelength; acquiring feedback data of the detector after a first time length, wherein the feedback data are expressed as reflected light intensity images, the abscissa of the reflected light intensity images is any one of the vertical distances between the geometric center point of the detector and the road surface, and the ordinate is the reflected light intensity; Acquiring a peak point of the reflected light intensity image, and updating the first distance to be an abscissa of the peak point; Setting a first sub-angle and a first sub-light intensity as a first angle change amount and a first light intensity change amount, respectively; At the updated first distance, continuously changing the first angle and the first light intensity according to the first sub-angle and the first sub-light intensity, continuously changing the first angle and the first light intensity to be continuously increased or continuously decreased, acquiring the ordinate of the continuously changed peak point, selecting the ordinate of the peak point with the largest value, acquiring the changed first angle at the moment and the changed first light intensity at the moment, and setting the changed first angle at the moment and the changed first light intensity at the moment as a new first angle and a new first light intensity.
3. The method for evaluating the road surface state based on the multidimensional index according to claim 2, wherein the new first angle, the new first light intensity, the updated first distance, the first value, the diameter of the detection surface of the detector, the reflectivity of the road surface medium, the absorption coefficient of the road surface medium are brought into a backward reflection light power formula to obtain the backward reflection light power when the reflection test object is dry, the backward reflection light power when the reflection test object is water, and the backward reflection light power when the reflection test object is ice; obtaining standard water backward reflection light power, standard ice backward reflection light power and standard dry backward reflection light power; respectively differencing the backward reflection light power when the reflection test object is dry, the backward reflection light power when the reflection test object is water and the backward reflection light power when the reflection test object is ice with the corresponding standard backward reflection light power to obtain a first difference value, a second difference value and a third difference value, and selecting the absolute value of the first difference value, the absolute value of the second difference value and the absolute value of the third difference value; Ascending order is carried out on the absolute value of the first difference value, the absolute value of the second difference value and the absolute value of the third difference value, the absolute value with the smallest value is selected, and a standard medium corresponding to the absolute value with the smallest value is set as the road surface medium of the divided square; Pavement media include no media, water, and ice; The water and the ice are respectively a standard medium corresponding to the standard water back reflection optical power and a standard medium corresponding to the standard ice back reflection optical power, and the non-medium is the standard medium corresponding to the standard dry back reflection optical power.
4. The method for evaluating the condition of a highway pavement based on multi-dimensional indicators according to claim 1, wherein the historical pavement data comprises historical pavement media, historical pavement media thickness, historical ambient temperature, historical wind strength, historical ambient humidity and historical traffic density.
5. The method for evaluating the condition of a highway pavement based on multidimensional indicators according to claim 1, wherein the environmental parameters include an environmental temperature, a wind intensity, an environmental humidity and a traffic density; road surface parameters include road surface medium and road surface medium thickness; the construction method of the mapping relation between the environment parameters and the road surface parameters comprises the steps of taking the historical environment temperature, the historical wind intensity, the historical environment humidity and the historical vehicle flow density as independent variables, and taking the historical road surface medium thickness as dependent variables, and performing multiple regression analysis to obtain a multiple regression equation.
6. The method for evaluating the road surface state based on the multidimensional index according to claim 5, wherein the current road surface medium at the current moment is obtained through machine vision, a multiple regression equation corresponding to the current road surface medium is called, and the current environment temperature, the current wind intensity, the current environment humidity and the current vehicle flow density are input into the multiple regression equation corresponding to the current road surface medium to obtain the corresponding current road surface medium thickness; and constructing a mapping relation of the current road surface medium, the current environment temperature, the current wind intensity, the current environment humidity, the current traffic flow density and the current road surface medium thickness.
7. The method for evaluating the road surface condition based on the multidimensional index according to claim 6, wherein the road surface medium is classified according to the mapping relation to obtain the medium classification, and the medium classification includes a first grade, a second grade, a third grade, a fourth grade, a fifth grade, a sixth grade and a seventh grade, and the road surface condition represented by the first grade, the second grade, the third grade, the fourth grade, the fifth grade, the sixth grade and the seventh grade is worse.
8. The method for evaluating the road surface condition based on the multidimensional index according to claim 7, wherein the method for classifying the road surface medium comprises obtaining the road surface medium, not classifying the road surface medium when the road surface medium is no medium, and setting the medium classification to a first level; when the pavement medium is water, setting the first thickness and the second thickness as demarcation threshold values of the water, wherein the first thickness is smaller than the second thickness; comparing the pavement medium thickness with a demarcation threshold value of water, and setting the medium classification as a second grade when the pavement medium thickness is smaller than or equal to the first thickness; When the thickness of the pavement medium is larger than the first thickness and smaller than or equal to the second thickness, setting the medium classification as a third grade; When the pavement medium thickness is greater than the second thickness, the medium classification is set to a fourth level.
9. The method for evaluating the road surface state based on the multidimensional index according to claim 7, wherein when the road medium is ice, the third thickness and the fourth thickness are set as the demarcation threshold value of ice, wherein the third thickness is smaller than the fourth thickness; comparing the pavement medium thickness with a demarcation threshold value of water, and setting the medium classification as a fifth grade when the pavement medium thickness is smaller than or equal to a third thickness; when the thickness of the pavement medium is larger than the third thickness and smaller than or equal to the fourth thickness, setting the medium classification as a sixth grade; when the pavement medium thickness is greater than the fourth thickness, the medium classification is set to a seventh level.
10. A multi-dimensional index-based road surface state evaluation system for executing the multi-dimensional index-based road surface state evaluation method of claim 1, characterized by comprising a judgment module, a mapping module and an evaluation module; The judging module calculates the backward reflection light power fed back by the road surface according to a backward reflection light power formula and a preset reflection test method, and judges the road surface medium according to the calculated backward reflection light power; the mapping module constructs a mapping relation between the environmental parameters and the road surface parameters according to the historical road surface data; And the evaluation module classifies the road surface media according to the mapping relation.

Description

Road surface state evaluation method and system based on multidimensional index Technical Field The invention relates to the technical field of intelligent management, in particular to a road surface state evaluation method and system based on multidimensional indexes. Background In recent years, the road surface state evaluation technology is rapidly developed, the disease identification accuracy of AI vision inspection vehicles for hundreds of kilometers, cracks, pits, hugs and the like is greatly improved, the ground penetrating radar, the FWD/TSD deflectometer and the vehicle-mounted laser section instrument are combined, the synchronous continuous scanning of the surface and the interior is realized, the driving comfort and the surface safety are reflected by RQI, IRI, rut depth indexes and the like, the RQI threshold is dynamically classified according to the area and the traffic volume, and the road section misjudgment probability is reduced. At present, in the chinese patent of the disclosure CN120217115A, a highway road ice monitoring system is disclosed, the method adds a self-calibration function and introduces an intelligent algorithm into the monitoring device, so that the monitoring system can automatically correct a measurement error caused by an external environment change in real time, and can predict the road surface condition more accurately by combining with a machine learning model, which not only can improve the working stability of the system in severe weather, but also can discover the risk of road ice earlier, thereby providing more accurate early warning information for traffic management departments and reducing the probability of traffic accidents, but the related technology does not refine and distinguish road media according to a related test method, does not finely divide the road according to a related segmentation method, thereby obtaining detailed road surface evaluation, being unfavorable for the pertinence and quick response of subsequent evaluation, and being unfavorable for the accuracy of road surface evaluation. Disclosure of Invention The technical problem solved by the invention is that in the related technology, pavement media are not finely distinguished according to a related test method, and pavement is not finely divided according to a related segmentation method, so that detailed pavement evaluation is obtained, the pertinence and the quick response of subsequent evaluation are not facilitated, meanwhile, the accuracy of pavement evaluation is not facilitated, and certain limitation exists. In order to solve the technical problems, the present invention provides a technical scheme, in a first aspect, a method for evaluating a road surface state based on a multidimensional index, including the steps of step S100, calculating a backward reflected light power fed back by a road surface according to a backward reflected light power formula and a preset reflection test method, and judging a road surface medium according to the calculated backward reflected light power; Step S200, constructing a mapping relation between environmental parameters and road surface parameters according to historical road surface data; step S300, classifying the pavement media according to the mapping relation. The method for testing the reflection of the road pavement state based on the multidimensional index comprises the steps of selecting any divided square, obtaining a detector with a first size, wherein the first size is expressed as that the diameter of a detection surface of the detector is a first length, setting the thickness of a pavement medium to be a first value, setting an incident angle to be a first angle, setting the incident light intensity to be a first light intensity, setting the vertical distance between the geometric center point of the detector and the road pavement to be a first distance, starting testing equipment, and transmitting electromagnetic waves with a first wavelength by the equipment; acquiring feedback data of the detector after a first time length, wherein the feedback data are expressed as reflected light intensity images, the abscissa of the reflected light intensity images is any one of the vertical distances between the geometric center point of the detector and the road surface, and the ordinate is the reflected light intensity; Acquiring a peak point of the reflected light intensity image, and updating the first distance to be an abscissa of the peak point; Setting a first sub-angle and a first sub-light intensity as a first angle change amount and a first light intensity change amount, respectively; At the updated first distance, continuously changing the first angle and the first light intensity according to the first sub-angle and the first sub-light intensity, continuously changing the first angle and the first light intensity to be continuously increased or continuously decreased, acquiring the ordinate of the continuously changed peak po