Wear Detection System for Elevator Traction Sheave

In order to achieve accurate non-contact measurement of the mechanical wear of the elevator traction sheave grooves, a wear detection system based on machine vision was developed. The industrial camera was fixed through a special fixture, and the images were collected by aligning each groove. In this paper, target groove is extracted based on normalized correlation coefficient matching. Corner points are extracted to describe the contour of the traction wheel groove. The inflection point of the wheel groove boundary is determined by straight boundary fitting, and the amount of rope groove wear is calculated by geometric knowledge. Based on the physical model structure, a mathematical model is established to eliminate the unavoidable occlusion error. The experimental results show that this system can carry out an accurate quantitative analysis and realize an accurate measurement of the wear of the traction sheave rope groove with convenience and accuracy.