The overhead rigid catenary system power supply method is commonly used to provide electrical power to subways in urban rail transit systems.The wear state of the rigid catenary system is an important indicator of the matching relationship between the pantograph and rigid catenary system.If the wear exceeds this limit,then it will lead to serious faults in the pantograph and rigid catenary system.This study focuses on the rigid catenary system of a subway,which uses a line laser and a high-speed area array camera to capture the contour of the light strip in real time.Based on the improved channel reliability,a multiscale background perception correlation filtering tracking algorithm is used to fit and calculate the wear value.Hence,the algorithm effectively handles complex factors such as lighting,scale,and occlusion,and realizes a high tracking accuracy and success rate,with an accuracy of up to 94%.This method replaces manual measurements with dynamic continuous wear measurements to achieve continuous,comprehensive,and efficient detection of the rigid catenary wear status.It can significantly improve the efficiency and accuracy of wear measurement,achieve comprehensive control of the rigid catenary system,and provide guidance for the preventive maintenance of the catenary.Continuous measurement of the contact wire wear is achieved,and the measurement efficiency is significantly improved.Tracking monitoring of the growth rate of catenary wear is added based on the original monitoring of catenary wear data.When the growth rate of the catenary wear is too fast,the manual inspection frequency is increased to ensure the safe operation of the catenary equipment.
NETL
NSTL
万方数据
维普
