摘要
在地铁隧道变形监测中,利用三维激光扫描技术可以简单、快速、实时地获取高精度的点云数据,用于隧道工程结构分析。针对海量的隧道点云数据,提出了隧道椭圆度检测的高精度、高性能解决方案。首先将隧道点云数据导入数据库中存储管理并建立索引;然后通过并行计算,快速地对断面点云进行自动化去噪、断面椭圆拟合与参数提取等处理。试验结果表明,该检测方案在具有高精度的同时也具有很高的计算性能,适用于海量隧道点云的处理分析。
In deformation monitoring of subway tunnels,3D laser scanning technology could obtain the high-precision point cloud data in a simple,fast and real-time way,and use the data for tunnel engineering structure analysis.A solution with high-precision and high computational performance is proposed for tunnel ellipticity detection according to the massive point cloud data.Firstly,the tunnel point cloud data is imported into the database for storage management and index construction;then,through parallel computation,rapid process actions including automatic denoising,ellipse fitting and parameter extraction for section point cloud is conducted.Experiment results show that the proposed detection solution has the advantages of high-precision and high computational performance for the analysis of massive tunnel point cloud.
作者
袁辉
YUAN Hui(China Railway Siyuan Survey And Design Group Co.,Ltd.,430063,Wuhan,China)
出处
《城市轨道交通研究》
北大核心
2020年第7期194-198,共5页
Urban Mass Transit
基金
中铁第四勘察设计院集团有限公司科研课题(2020D086,2019D082,2019K095)。
关键词
地铁隧道
断面结构
海量点云
椭圆拟合
subway tunnel
section structure
massive point cloud data
ellipse fitting