Research on Detection Algorithm for Groove Track Wear of Modern Tram

Abstract

In recent years, modern trams have developed rapidly and groove rails are mainly used for tramway tracks. However, there is less research on the wear detection of groove rails, and even fewer wear detection applications. With the help of the laser triangulation method, this paper developed a set of wear detection of modern tramway groove rails. Among them, a set of data filtering algorithms with self-adaptive function and combined with the geometric characteristics of the groove track are proposed to eliminate data interference points and smooth the data. At the same time, an error correction algorithm is used to correct the detection error angle caused by snake driving, vibration and sensor installation deviation. In addition, this paper also proposes a set of groove rails profile matching algorithms and wear calculation algorithms to achieve accurate measurement of the vertical wear, side wear and total wear of the grooved rail. Experimental verification shows that the wear detection algorithm has strong anti-interference ability and comprehensive data error correction ability.