Article(id=1222963540554670469, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20220598, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1648396800000, receivedDateStr=2022-03-28, revisedDate=1657123200000, revisedDateStr=2022-07-07, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506829632, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506829632, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506829632, creator=13701087609, updateTime=1769506829632, updator=13701087609, issue=Issue{id=1222963536863678929, tenantId=1146029695717560320, journalId=1205116964453384197, year='2023', volume='41', issue='4', pageStart='1', pageEnd='220', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1769506828752, creator=13701087609, updateTime=1769508076664, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1222968771057279321, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1222968771057279322, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=172, endPage=175, ext={EN=ArticleExt(id=1222963544040137348, articleId=1222963540554670469, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Displacement Detection Method of High Slope Near Dam of Power Station Based on UAV Nap of the Object Photogrammetry, columnId=1222925283779400191, journalTitle=Water Resources and Power, columnName=WATER CONSERVANCY AND HYDROPOWER ENGINEERING, runingTitle=null, highlight=null, articleAbstract=

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.

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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。

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侯春尧（1985-），男，高级工程师，研究方向为水利水电工程管理，E-mail：hou_chunyao@ctg.com.cn

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侯春尧（1985-），男，高级工程师，研究方向为水利水电工程管理，E-mail：hou_chunyao@ctg.com.cn

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