Research and Implementation of a Machine Vision Based Wear Detection System for Pantograph Skateboards
In order to meet the automation detection requirements for the wear and tear of pantograph slide plates on urban rail trains and improve the detection efficiency of pantograph slide plate wear and tear,a machine vision based wear and tear detection system for pantograph slide plates is designed.The improved Canny edge detection algorithm is applied to obtain the edge image of the pantograph slide plate.Through techniques such as Hough transform,the wear and tear edge of the slide plate is extracted and fitted,and the wear information of the slide plate is obtained.Then,the wear data is analyzed and judged,and finally,non-contact accurate automatic detection of pantograph mesh wear is achieved.The results show that under the forward parallel shooting angle,the system measurement results are highly consistent with the manual measurement results,with an accuracy rate of 91.6%,which can meet the actual maintenance needs.
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