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作 者:张亚南 ZHANG Yanan(China Railway 17th Bureau Group Co.,Ltd.,Nanjing 211800,China)
机构地区:[1]中铁十七局集团有限公司,江苏南京211800
出 处:《电力勘测设计》2024年第5期73-78,共6页Electric Power Survey & Design
摘 要:针对当前综合管廊变形检测中存在的检测区域有限、指标单一、效率低下、成本高昂等问题,提出一种基于三维点云的综合管廊关键几何形位参数自动化全面检测方法。建立一套针对综合管廊高效、精确的三维点云获取与预处理方法流程;基于投影长度与均值漂移等方法提出一套复杂场景下点云数据精准拟合与快速分割方法;通过对目标点云三维坐标信息的自动化提取与分析,实现对综合管廊结构关键几何形位参数自动化、快速化、全面化的检测与监测,有效提升当前城市地下综合管廊变形监测的精度、效率与覆盖水平。Aiming at the problems of limited detection area,single index,low efficiency and high cost in the current deformation detection of comprehensive pipe gallery,an automatic comprehensive detection method for key geometric shape and position parameters of comprehensive pipe gallery based on 3D point cloud is proposed.This paper establishes a set of efficient and accurate 3D point cloud acquisition and preprocessing method flow for the utility tunnel;based on projection length and mean shift,this paper proposes a set of accurate fitting and fast segmentation methods for point cloud data in complex scenes;through the automatic extraction and analysis of the three-dimensional coordinate information of the target point cloud,the automatic,rapid and comprehensive detection and monitoring of the key geometric shape and position parameters of the comprehensive pipe gallery structure is realized,which effectively improves the accuracy,efficiency and coverage level of the current urban underground comprehensive pipe gallery deformation monitoring.
分 类 号:P2[天文地球—测绘科学与技术] TU990.3[建筑科学—市政工程]
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