| 面向水库大坝形变监测的三维激光扫描点云分析方法 |
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| 引用本文： | 杨传训,杨骥,李勇,韩留生,陈水森. 面向水库大坝形变监测的三维激光扫描点云分析方法[J]. 测绘通报, 2021, 0(10): 54-59. DOI: 10.13474/j.cnki.11-2246.2021.305 |
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| 作者姓名： | 杨传训 杨骥 李勇 韩留生 陈水森 |
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| 作者单位： | 1. 中国科学院广州地球化学研究所, 广东 广州 510640;2. 中国科学院大学, 北京 100049;3. 广东省遥感与地理信息系统应用实验室, 广东 广州 510070;4. 广东省地理空间信息技术与应用公共实验室, 广东 广州 510070;5. 广州地理研究所, 广东 广州 510070;6. 山东理工大学, 山东 淄博 255000 |
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| 基金项目： | 国家自然科学基金（41976189）；广东省自然科学重点基金（2018B030311059）；南方海洋科学与工程广东省实验室（广州）（GML2019ZD0301）；广东省科技计划项目（2019A050506001） |
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| 摘 要： | 根据黄龙带水库大坝两期高精度三维激光大坝扫描点云数据，本文提出基于正态分布的点云数据配准算法、改进原始渐进加密三角网滤波算法，运用点到面形变量对比分析模式监测大坝形变量，并进行源程序开发，实现一体化监测点云数据的加工、对比分析及建模处理。通过结果验证显示：①改进后的算法效率高、精度优，适用于大坝点云数据处理和对比分析；②开发的点云数据一体化处理软件简单易用，能够精准反映坝体变形情况；③黄龙带坝体稳定，尚无安全隐患。
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| 关 键 词： | 水库大坝 形变监测 三维激光扫描 点云数据配准 渐进加密三角网滤波 |
| 收稿时间： | 2020-10-19 |
| 修稿时间： | 2021-07-28 |
3D laser scanning point cloud analysis method for dam deformation monitoring |
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| YANG Chuanxun,YANG Ji,LI Yong,HAN Liusheng,CHEN Shuisen. 3D laser scanning point cloud analysis method for dam deformation monitoring[J]. Bulletin of Surveying and Mapping, 2021, 0(10): 54-59. DOI: 10.13474/j.cnki.11-2246.2021.305 |
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| Authors: | YANG Chuanxun YANG Ji LI Yong HAN Liusheng CHEN Shuisen |
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| Affiliation: | 1. Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510640, China;2. University of Chinese Academy of Sciences, Beijing 100049, China;3. Guangdong Remote Sensing and GIS Application Laboratory, Guangzhou 510070, China;4. Guangdong Public Laboratory of Geospatial Information Technology and Application, Guangzhou 510070, China;5. Guangzhou Institute of Geography, Guangzhou 510070, China;6. Shandong University of Technology, Zibo 255000, China |
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| Abstract: | Deformation monitoring is an important part in dam safety monitoring. With the development of 3D laser point cloud technology, it is a trend to use this kind of tech in dam deformation monitoring, but the current algorithm constraints and data processing uncertainty errors greatly affect the monitoring accuracy. Based on this research, a point cloud data registration algorithm based on normal distribution, improved original progressive encryption triangulation filter algorithm, and point-to-face variable comparison analysis mode are used to monitor dam-shaped variables, and source program development is realized. Monitor point cloud data processing, comparative analysis, and modeling processing.The results show that:①The improved algorithm has high efficiency and excellent precision, and is suitable for dam point cloud data processing and comparative analysis. ②The developed point cloud data integration processing software is simple and easy to use, and can accurately reflect the deformation of the dam. ③Huanglongdai dam is stable, there is no safety hazard. |
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| Keywords: | reservoir dam deformation monitoring 3D laser scanning point cloud data registration progressive encryption triangulation filtering |
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