摘要
地铁隧道投入运营后,随环境变化及结构劣化,不可避免出现病害。传统病害检测方法是借助全站仪、站式扫描仪等测量手段、通过人工现场巡视、确认的方法记录相关位置,此方法费事费力、成本高、不直观,且现场信息容易丢失。三维激光移动扫描系统可以借助轨道小车,通过匀速扫描获取地铁隧道全息三维数据,通过后期的点云处理、影像配对、影像正射数字化,借助影像匹配算法可以准确识别裂缝、漏水以及管片错台等相关病害,一键生成多样化格式报表。本文以青岛地铁2号线为例,探讨三维激光移动扫描系统外业采集和数据处理过程的重点和难点,分析其在地铁盾构隧道中的应用,为以后类似项目提供了良好借鉴。
After the subway tunnel is put into operation,with the change of the environment and the deterioration of the structure,it is inevitable to have diseases.The traditional method of disease detection is to record the relevant positions by means of traditional total station,station scanner and other measurement means,and by means of artificial on-site inspection and confirmation.The traditional method is laborious,costly,non-intuitive,and the field information is easy to lose.The three-dimensional laser mobile scanning system can obtain the holographic three-dimensional data of the subway tunnel through constant speed scanning with the help of the track car.Through the later point cloud processing,image matching,image orthophoto digitization,with the help of image matching algorithm,it can accurately identify cracks,water leakage,segment dislocation and other related diseases,and generate diversified format reports with one click.Taking Qingdao Metro Line 2 as an example,this paper discusses the key points and difficulties in the field collection and data processing of mobile scanning system,analyzes its application in metro shield tunnel,and provides a good reference for similar projects in the future.
作者
胡玉祥
刘宝华
张洪德
范珊珊
熊文辉
Hu Yuxiang;Liu Baohua;Zhang Hongde;Fan Shanshan;Xiong Wenhui(Qingdao Surveying&Mapping Institute,Qingdao 266032,China;West Coast Geomatics Center of Qingdao,Qingdao 266000,China;Qingdao Engineering Research Center of Geographical Information of Underground Space,Qingdao 266032,China;Qingdao Marine Technical College, Qingdao266000, China)
出处
《城市勘测》
2021年第1期101-105,共5页
Urban Geotechnical Investigation & Surveying
关键词
病害检测
移动扫描系统
地铁盾构隧道
全息三维数据
正射影像
disease detection
mobile scanning system
metro shield tunnel
holographic 3D data
orthophoto image