钢轨纵向位移快速测量系统的方法与应用
Method and Application of Rail Longitudinal Displacement Rapid Measurement System
王波 1杨展 2肖杰灵 2杨立 3杨荣山2
作者信息
- 1. 中国铁路成都局集团有限公司宜宾工电段,四川宜宾 644000
- 2. 西南交通大学土木工程学院,四川成都 610031
- 3. 四川保路科技有限公司,四川成都 610041
- 折叠
摘要
钢轨纵向位移是无缝线路状态演变的典型表现,监测钢轨纵向位移情况成为无缝线路养护维修的重点工作.然而,目前常用的无缝线路状态监测方法均基于固定式设备,大多存在成本高、精度差的弊端,且较难实现快速监测.开发设计一种动态的无缝线路钢轨爬行快速测量系统,基于机器视觉技术,对轨标和道旁基标图像进行特征提取,并通过对轨道场景进行还原和追踪,实现对无缝线路状态的监测.通过系统在现场的应用测试验证了该监测方法良好的适用性,在现场试验中钢轨纵向位移的测量精度可控制在±1 mm范围内,满足监测要求.该系统提高了无缝线路养护维修作业效率,降低了人工劳动强度,可为无缝线路科学精细化管理提供借鉴.
Abstract
Longitudinal displacement of rail is a typical manifestation of the evolution of CWR state,and monitoring the longitudinal displacement of rail has become the key work of CWR maintenance.However,the current commonly used CWR state monitoring methods are based on fixed equipment,most of which have the disadvantages of high cost and poor accuracy,and it is difficult to realize rapid monitoring.This paper develops and designs a dynamic CWR rail creeping rapid measurement system.Based on machine vision technology,the features of track signs and trackside benchmark images are extracted,and the CWR state is monitored by restoring and tracking the track scenario.The good applicability of this monitoring method is verified by the field application test of the system,and the measurement accuracy of rail longitudinal displacement can be controlled within±1 mm in the field test to meet the monitoring requirements.The system improves the efficiency of CWR maintenance and reduces labor intensity,which can provide references for scientific and refined management of CWR.
关键词
无缝线路/监测系统/现场试验/钢轨纵向位移/图像识别Key words
CWR/monitoring system/field test/longitudinal displacement of rail/image recognition引用本文复制引用
出版年
2024
NETL
NSTL
万方数据