Wheel wear evaluation method, device and system for rail transit vehicles

Abstract

The invention provides a wheel abrasion evaluation method, device and system for a rail vehicle. The method includes the steps that the wheel chip quality collected in a plurality of sampling periodsis read from sampling points which are arranged beside a rail; for each sampling period, according to the wheel chip quality collected in the sampling period and the total number of times of running of all vehicles on the rail from the sampling start moment to the ending of the sampling period, the accumulated abrasion amount of each vehicle at the end of the sampling period is obtained; accordingto running information of each vehicle in each sampling period and the corresponding accumulated abrasion amount at the end of the sampling periods, the corresponding relation between the running information and the accumulated abrasion amount of the vehicle is obtained; and according to running information of a to-be-evaluated vehicle, the corresponding relation is inquired to obtain the accumulated abrasion amount of the to-be-evaluated vehicle. By means of the method, the purpose of real-time detection and prediction of the tire wear condition can be achieved.

Description

technical field [0001] The invention relates to the technical field of rail transit, in particular to a rail transit-based vehicle wheel wear evaluation method, device and system. Background technique [0002] The life of tires is limited, and tires will wear out after a period of use. If you use severely worn tires, it will affect the operation of the vehicle and easily lead to traffic accidents. Therefore, it is very necessary to regularly detect the wear and tear of tires. [0003] In the field of rail transit, the commonly used tire detection method is based on images. Professional cameras are used to shoot tires of vehicles to obtain image information of tires, and then compare the acquired image information with the initial image of tires, and use image processing The algorithm detects the abnormal state and wear degree of the tire. This detection method needs to rely on professional cameras, has high requirements on light conditions and image quality, and needs to u...

AI Technical Summary

Problems solved by technology

This detection method needs to rely on professional cameras, has high requirements on light conditions and imaging quality, and needs to use complex algorithms to calculate the wear of tires. The calculation is large and difficult, which is not conducive to real-time detection of tire wear.

Images