摘要
提出一种基于机载LiDAR(Light Detection And Ranging)点云的铁路工务设备及周边环境形变分析方法,通过无人机机载LiDAR巡线系统获取铁路场景三维点云,对点云进行裁剪、去噪及配准;结合点云-点云比较方法与多尺度点云模型比较方法分别对工务设备及周边环境的形变进行定性与定量判断,并应用于邯长线(邯郸—长治)K130+874—K135+292区段。结果表明:该方法能够有效利用机载LiDAR铁路巡检数据,通过定性与定量的形变分析及时发现隐患。
A deformation analysis method of railway track equipment and surrounding environment based on airborne LiDAR point cloud was proposed.The three-dimensional point cloud of railway scene was obtained through the UAV airborne LiDAR line patrol system,and the point cloud was cut,de-noised and registered.Combined the cloud point-tocloud point comparison method(C2C) with multi-scale point cloud model comparison method(M3C2),the deformation of the track maintenance equipment and the surrounding environment were qualitatively and quantitatively judged,and applied to the K130 + 874—K135 + 292 section of the Handan-Changzhi Railway.The results show that this method can effectively use the airborne LiDAR railway inspection data and find hidden dangers in time through qualitative and quantitative deformation analysis.
作者
李博闻
刘瑞
危凤海
梁庚
石越峰
许贵阳
LI Bowen;LIU Rui;WEI Fenghai;LIANG Geng;SHI Yuefeng;XU Guiyang(School of Mechanical-Electronic and Vehicle Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Tieke Special Engineering Technology Corporation Limited,Beijing 100081,China;China Railway Beijing Group Co.Ltd.,Beijing 100860,China;Railway Engineering Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
出处
《铁道建筑》
北大核心
2023年第1期143-147,共5页
Railway Engineering
基金
中国国家铁路集团有限公司科技研究开发计划(N2020T006)
北京铁科特种工程技术有限公司科研项目(2022TZ01)。
关键词
铁路工程
形变分析
点云数据
工务设备
铁路环境
机载LIDAR
点云处理
railway engineering
deformation analysis
point cloud data
track maintenance equipment
railway environment
airborne Li DAR
point cloud processing
作者简介
第一作者:李博闻(1998-),男,硕士研究生。E-mail:1787478524@qq.com;通信作者:许贵阳(1971-),男,教授,博士。E-mail:xuguiyang@bucea.edu.cn。
