Title
Robust and Long-Term High-Speed Operational Status Inspection of Pantograph-OCS in Complex Environments
Abstract
Good contact conditions between the pantograph and catenary ensure the safety of electrified railways. However, the relevant state-of-the-art status inspection methods cannot achieve high speed and robust effects under complex conditions, such as multisuspended line interference, unknown complex backgrounds, and light and dark changes. Therefore, a two-module contact status diagnosis methodology, consisted of long-term tracking and 3-D reconstruction, is proposed in this study. This long-term tracking method is a combination of tracking, detection, and discrimination, focusing on locating the contact area of high-speed movement in complex environments. First, a brand-new tracking paradigm, namely, GMSTrack, based on feature matching is developed to adapt to complex background changes. Second, we modify the loss function via GIoU-plus loss for box regression and adaptive wing loss for landmark regression on CenterNet and realize a dramatic improvement in detection accuracy at 125 FPS. Third, sequential information is collected for the transformer-based discriminator to evaluate the correctness of the current tracking result. Experimental results show that the optimal strategy that combines tracking, detection, and discrimination can locate the contact area in complex environments with an accuracy higher than 93 & x0025; and with a speed higher than 84 FPS. Finally, dynamic stagger value and height of conductor that can reflect contact status are analyzed through the 3-D reconstruction of the binocular contact points. The overall status inspection methodology can be applied to the on-site high-speed trains at speeds exceeding 80 FPS.
Year
DOI
Venue
2022
10.1109/TIM.2021.3125965
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
Keywords
DocType
Volume
Three-dimensional displays, Tracking, Interference, Inspection, Conductors, Transformers, Loss measurement, 3-D reconstruction, adaptive wing loss, contact status, electrified railways, GIoU-plus loss, GMSTrack, transformer
Journal
71
ISSN
Citations 
PageRank 
0018-9456
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Luonan Chang100.68
Xiao Pan200.68
Dong Li300.68
Zhenzhou Fu400.68