Method for establishing pavement crack identifying and decision-making model on basis of hypothesis testing

Abstract

The invention discloses a method for establishing a pavement crack identifying and decision-making model on the basis of hypothesis testing, relates to a method for identifying a pavement crack, and aims to solve the problem that in a structured light three-dimensional crack detection model, the number n of sampling light strips and decision factors m cannot be effectively determined so as to cause high missing rate and high false rate in a pavement crack. The method comprises the following steps that: step 1, identification and analysis of two types of errors on the pavement crack are carried out; step 2, the pavement crack identifying and decision-making model on the basis of the hypothesis testing is established; step 3, monotonicity analysis on a crack detection accuracy rate functionis carried out; step 4, the occurring rates of the two types of errors are set and a limiting number allowed by actual hardware is combined to determine the reasonable number n of the sampling light strips by decision-making requirements of a user, and a decision scheme is provided for the design of a sensor in a three-dimensional crack detection system; and step 5, the reliability requirement of the rule which is flexibly designed by the user according to the decision-making requirements is detected, so that the rule meets the novel reliability, i.e. the requirements on the detection accuracy rate is detected. The method is used for the pavement crack detection.

Description

technical field [0001] The invention relates to a method for identifying cracks in highway pavement, in particular to a method for establishing a decision-making model for identifying cracks in highway pavement based on hypothesis testing. Background technique [0002] During the use of highways, due to the impact of traffic loads and natural factors, various damages gradually occur on the road surface. Damage will have harmful effects on vehicle speed, fuel consumption, mechanical wear, driving comfort and traffic safety. Cracks are an important indicator of pavement damage. If pavement cracks can be quickly and accurately detected and identified, and corresponding repair measures are taken, potential safety hazards can be eliminated. [0003] The most important indicators for the detection of road pavement cracks are the recognition rate and misjudgment rate of cracks. The existing highway pavement crack detection technology usually adopts the following methods: [0004...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to solve the problem that the number n of sampling light strips and the decision factor m cannot be effectively determined in the structured light three-dimensional crack detection method, resulting in a high rate of missed detection and misjudgment in road cracks. Establishment of Highway Pavement Crack Identification Decision-Making Model Based on Hypothesis Testing

Images