Gauge and Wear Detection Method for Portable Track Inspection Trolley

被引：0
|
作者：
Zheng S. [1 ]
Peng L. [1 ]
Zhong Q. [1 ]
Li L. [1 ]
机构：
[1] School of Urban Rail Transit, Shanghai University of Engineering and Technology, Shanghai
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2022年 / 42卷 / 03期
关键词：
Iterative closest point; Machine vision; Rail gauge; Rail wear; Track inspection trolley;
D O I：
10.16450/j.cnki.issn.1004-6801.2022.03.027
中图分类号：
学科分类号：
摘要：
Rail gauge and wear detection is a key technology to ensure the safety of train operation. The efficiency of traditional manual detection is low, and the large-scale track inspection vehicle has high detection and maintenance costs. Therefore, there is a lack of effective equipment and method in daily track inspection and maintenance to meet the increasing demand for track inspection. To solve this problem, a method of gauge and wear detection for portable track inspection trolley is proposed. In order to obtain the three-dimensional coordinate value point set of the track left and right track contour line in the same world coordinate system, the laser vision inspection model and system calibration method are constructed based on the light plane equation, machine vision three-dimensional reconstruction theory and camera calibration technology. By using the improved closest point algorithm to match the measured data point set with the standard rail point set, the rail gauge and wear can be calculated. Finally, the experimental verification is carried out by building a test system, and the results showed that the maximum measurement deviation of the method is less than 0.1 mm, which can meet requirements of the track daily maintenance, and provide technical guarantee for the safety of train operation.
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收藏
页码：600 / 605
页数：5
相关论文
共 17 条
  • [1] ZHENG Shubin, PENG Lele, LI Liming, Et al., Multi-sensors fusion of machine vision and inertial measurement, Journal of Vibration, Measurement & Diagnosis, 38, 2, pp. 394-426, (2018)
  • [2] SUN Yu, ZHAI Wanming, A prediction model for rail wear evolution, Journal of the China Railway Society, 39, 8, pp. 1-9, (2017)
  • [3] ZHOU L, WANG W J, HU Y, Et al., Study on the wear and damage behaviors of hypereutectoid rail steel in low temperature environment, Wear, 456, pp. 203365-203378, (2020)
  • [4] HOU Maorui, LIU Fengshou, HU Xiaoyi, Et al., Typical wheel-rail profile change and matching characteristics of high-speed railway in China, China Railway Science, 41, 7, pp. 99-107, (2020)
  • [5] URDA P, MUNOZ S, ACEITUNO J F, Et al., Wheel-rail contact force measurement using strain gauges and distance lasers on a scaled railway vehicle, Mechanical Systems and Signal Processing, 138, pp. 10655-10658, (2020)
  • [6] ZHENG Shubin, CHAI Xiaodong, AN Xiaoxue, Et al., Rail wear measuring method based on dynamic template, China Railway Science, 34, 2, pp. 7-12, (2013)
  • [7] CHAI Dongming, WEI Shibin, LIU Lingping, Et al., Development of the inspection system for Shenzhen metro track inspection car, China Railway Science, 26, 5, pp. 140-143, (2005)
  • [8] JU Biao, ZHU Hongtao, XU Juping, Et al., Rail contour matching method based on random vibrations of a rail inspection vehicle, Journal of Vibration and Shock, 36, 3, pp. 65-69, (2017)
  • [9] ZHANG Y, LIU M Y, CHEN Y N, Et al., Real-time vision-based system of fault[J], IEEE Transactions on Instrumentation and Measurement, 69, 7, pp. 5274-5284, (2020)
  • [10] TANG Xiaomin, WANG Peijun, LV Dongxu, Et al., Research on rail wear measurement system based on machine vision, Instrument Technique and Sensor, 9, pp. 59-87, (2017)
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