基于无人机贴近摄影的电站近坝高边坡位移检测方法  

Displacement Detection Method of High Slope Near Dam of Power Station Based on UAV Nap of the Object Photogrammetry

作　　者：侯春尧[1] 毛延翩[1,2] 刘顶明 宁少庆[1] HOU Chun-yao;MAO Yan-pian;LIU Ding-ming;NING Shao-qing(China Yangtze Power Co.,Ltd.,Yichang 443002,China;State Key Lab.of Hydroscience and Eng.,Tsinghua University,Beijing 100084,China)

机构地区：[1]中国长江电力股份有限公司,湖北宜昌443002 [2]清华大学水沙科学与水利水电工程国家重点实验室,北京100084

出　　处：《水电能源科学》2023年第4期172-175,共4页Water Resources and Power

基　　金：四川省科技计划项目(2022YFQ0080)。

摘　　要：鉴于变形监测、激光扫描、地基雷达等常规手段在水电站近坝高边坡场景中具有一定的局限性,难以及时发现水电站近坝高边坡灾害隐患、预警边坡突发事故的问题。以金沙江流域某水电站为研究对象,提出基于无人机贴近摄影的高边坡位移检测方法,主要包括精准路径规划的无人机贴近摄影数据采集方法、SFM-MVS的三维模型与点云模型生成、基于近邻三维网格平面的点云比较算法。在研究区域进行了数据获取、精度分析和位移比较研究,结果表明所提方法在水平、垂直方向精度均达到毫米级,满足近坝高边坡大范围、高精度的位移检测需求,具有较强的科学研究和工程实用价值。Conventional methods such as deformation monitoring,laser scanning and ground-based radar have certain limitations in the scene of high slope near the dam of hydropower station,so it is difficult to find the hidden dangers of high slope disasters near the dam in time and early-warning slope accidents.Taking a hydropower station in Jinsha River Basin as the research object,this paper proposes a high slope displacement detection method based on the UAV proximity photography,which mainly includes the UAV proximity photography data acquisition method for accurate path planning,generation of the SFM-MVS 3D model and point cloud model,and point cloud comparison algorithm based on adjacent 3D grid plane.Data acquisition,accuracy analysis and displacement comparison are carried out in the study area.The results show that the accuracy of this method in both horizontal and vertical directions reaches millimeter level,which can meet the needs of large-scale and high-precision displacement detection of high slope near the dam,and has strong scientific research and engineering practical value.

关 键 词：高边坡 无人机 位移检测 贴近摄影 点云处理 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置] TV697.2[自动化与计算机技术—控制科学与工程]