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基于点云的隧道椭圆度分析

Analysis of Tunnel Ellipticity Based on Point Cloud
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摘要 随着我国城市轨道交通的快速发展,隧道工程监测体量越来越大,三维激光扫描技术由于其精度高,采集数据信息量高且效率快,具有良好的应用前景。本文中通过对点云数据进行数据处理提取测量成果,对计算算法对成果的影响以及与与人工测量拟合成果进行对比分析可知:计算算法本身对于成果精度影响可以忽略,其获取数据成果精度与人工全站仪测量拟合成果相当。由点云数据获取的隧道横断面椭球度参数拟合时参与计算点数量远远多于人工测量,因此具有更好的稳健性。 With the rapid development of urban rail transit in China,the monitoring workload of tunnel engineering is getting larger and larger.Thanks to its high precision,big data volume and high efficiency,the 3D laser technology has good application prospects.In this paper,the measurement data is extracted by data processing of the point cloud data,and the influence of the calculation algorithm on the results and the comparison with the results of the manual measurement fitting show that the calculation algorithm itself has negligible impact on the accuracy of the results,and the accuracy of the obtained data.The measurement and fitting results of manual total station are comparable.The number of points involved in the calculation of the tunnel cross-sectional ellipsoid parameters obtained from the point cloud data is far more than that of the manual measurement,so it has a better robustness.
作者 李世超 Li Shichao(Engineering Survey and Design Institute,China Railway Shanghai Design Insitute Group Corporation Limited,Shanghai 200000,China)
出处 《铁道技术标准(中英文)》 2024年第12期60-63,共4页 Railway Technical Standard(Chinese & English)
关键词 点云 隧道 椭圆度 横断面 point cloud tunnel ovality cross section
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