Study of Dynamic Geometrical Parameter Detection System for Tramcar Track Irregularity

Abstract

Despite the rapid development of the tramcar market, the study concerning security detection has been a later starter and mostly remains the human detection stage currently, resulting in low detection efficiency and precision. In this case, the paper suggests a detection system for the track irregularity of tramcars, realizing non-contact dynamic measurement over the geometric parameters for groove track longitudinal level and alignment irregularity. In light of this, it further proposes an irregularity detection algorithm for the geometric parameters of groove tracks based on the principle of laser distance measuring and the mid-chord offset (MCO) method, which overcomes the traditional asymmetrical chord offset method’s defect of being only capable of checking the irregularity of short wavelengths within lm and avoids the damage of tracks due to contact track measuring instruments. Importantly, the high detection accuracy, favorable stability, and other favorable characteristics of the detection system proposed have been proven by experimental verification, thereby providing the detection of geometric parameters for modern tramcars with a new method and a new tool.