摘要
总结了铁路隧道表观病害检测的现状,梳理了目前铁路隧道表观病害检测系统的优缺点。为解决单一数据源检测不全面的缺陷,采用一种集成计算机视觉技术和三维激光扫描技术车载移动测量系统,实现了铁路隧道断面激光点云和高清影像快速获取。通过对点云数据和影像数据进行综合分析处理,实现衬砌掉块、渗水、裂纹、几何形变等衬砌表观病害的综合检测。工程实践表明:本文使用的车载移动测量系统最高检测效率能达15km/h,裂纹检测精度达到0.3mm,可以实现隧道表观病害的全面快速检测,有效减少在线作业时间,为既有铁路隧道快速检测提供技术支撑和安全保障。
Summarized the current situation of apparent disease detection in railway tunnels,and sorted out the advantages and disadvantages of the current apparent disease detection system in railway tunnels.To address the issue of incomplete detection from a single data source,a vehicle mounted mobile measurement system integrating computer vision technology and 3D laser scanning technology is proposed,achieving rapid acquisition of laser point clouds and high-definition images in railway tunnels.By comprehensively analyzing and processing point cloud data and image data,comprehensive detection of lining surface defects such as falling blocks,water seepage,cracks,and geometric deformation can be achieved.Engineering practice has shown that the highest detection efficiency of the vehicle mounted mobile measurement system studied in this article can reach 15km/h,and the crack detection accuracy can reach 0.3mm.It can achieve comprehensive and rapid detection of tunnel surface defects,effectively reducing the working time on the railway line,and providing technical support and safety guarantees for the rapid detection of existing railway tunnels.
作者
游启峰
YOU Qi-feng(China Railway Guangzhou Group Co.,Ltd,Guangzhou 510080)
出处
《广州建筑》
2024年第5期48-52,共5页
GUANGZHOU ARCHITECTURE
关键词
铁路隧道
表观病害
隧道衬砌
图像检测
点云
railway tunnels
apparent diseases
tunnel lining
image detection
point cloud
