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三维激光扫描移动测量在铁路运营中的应用 被引量:15

Application of 3D Laser Scanning Mobile Surveying in Railway Operation
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摘要 随着铁路运营速度的提高,铁路施工及运营安全变得尤为重要,因此在一定周期内需对铁路施工现场或运营线路进行快速、长期的监测,确保铁路施工及运营的安全。文章结合在多传感器轨道动态测量方法、三维激光扫描、GPS/IMU组合导航(POS)定位定姿技术的高精度三维激光点云数据采集等方面进行的研究与创新,基于三维激光扫描点云控制点标靶提取并将高速铁路测量CPⅢ控制网坐标动态传递到测量坐标系的方法,在施工阶段利用高精度点云数据提取桥涵、隧道及路基等构筑物三维坐标进行变形监测评价,在运营阶段利用高精度云数据提取铁路中心线坐标、轨面高程、以及轨道沿线设施,为铁路施工及运营维护快速检测提供技术支撑。 With the increase of railway operation speed, the safety of railway construction and operation has become particularly important. Therefore the rapid and long-terrm monitoring of the construction site or operation line of railway should be conducted in certain period so as to ensure the safety during construction and operation of railway. In this paper , in combination with multi-sensor track dynamic measurement method , three-dimensional laser scanning , high precision 3D laser point cloud data acquisition of GPS/IMU integrated navigation ( POS) positioning and attitude determination technology , the three-dimensional laser scanning mobile measurement is studied and innovated. Based on methods of extracting the three-dimensional laser scanning point cloud control point target and transferring the high-speed railway measurement CPPI control network coordinate dynamic to the measurement coordinate system , in the construction stage , high-precision point cloud data are used to extract three-dimensional coordinates of bridges , culverts , tunnels and subgrade for deformation monitoring and evaluation;In the operation stage , high-precision cloud data is used to extract coordinates of railway center line , rail surface elevation and facilities along the track , which provides technical support for rapid detection of railway construction and operation maintenance.
作者 周玉辉 ZHOU Yuhui(China Railway Eryuan Engineering Group Co. , Ltd. , Chengdu 610031, China)
出处 《高速铁路技术》 2019年第1期68-73,77,共7页 High Speed Railway Technology
关键词 铁路运营 移动测量 三维激光扫描 点云数据 变形监测 railway operation mobile survey three-dimension laser scanning point cloud data deformation monitoring
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