Article(id=1222963542253363659, tenantId=1146029695717560320, journalId=1205116964453384197, issueId=1222963536863678929, articleNumber=null, orderNo=null, doi=10.20040/j.cnki.1000-7709.2023.20221180, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1654099200000, receivedDateStr=2022-06-02, revisedDate=1657036800000, revisedDateStr=2022-07-06, acceptedDate=null, acceptedDateStr=null, onlineDate=1769506830037, onlineDateStr=2026-01-27, pubDate=1682352000000, pubDateStr=2023-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1769506830037, onlineIssueDateStr=2026-01-27, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1769506830037, creator=13701087609, updateTime=1769506830037, 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=107, endPage=109, ext={EN=ArticleExt(id=1222963542513410530, articleId=1222963542253363659, tenantId=1146029695717560320, journalId=1205116964453384197, language=EN, title=Research on Intelligent Mobile Inspection Technology for Dam Safety Based on Image Recognition Technology and Track Robot, columnId=1222925280734335368, journalTitle=Water Resources and Power, columnName=DAM SAFETY AND MONITORING, runingTitle=null, highlight=null, articleAbstract=

In order to realize the remote mobile monitoring of the dam, the automatic identification of important defects and the measurement of key monitoring equipment, the research on the intelligent mobile inspection technology of dam safety based on image recognition technology and track robot was carried out. Firstly, an intelligent mobile inspection system for dam safety was constructed based on the orbital robot. On this basis, the automatic identification of typical dam defects and the measurement of key monitoring equipment were realized based on image recognition technology. It had been applied in a dam with good results. The remote and large-scale inspection of dam safety was realized, which can significantly reduce the workload of manual inspection, replace manual inspection under extreme natural conditions, and timely grasp the operation of hydraulic structures such as dams. The research results can provide important reference and technical support for the safety monitoring of dams.

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为实现大坝远程移动监视、重要缺陷的自动识别和重点监测设备测读，开展了基于图像识别技术和轨道机器人的大坝安全智能移动巡检技术研究。首先基于轨道机器人构建了大坝安全智能移动巡检系统，在此基础上，基于图像识别技术实现了大坝典型缺陷的自动识别和重点监测设备测读。结合某水库大坝进行实际应用，取得良好的应用效果，实现了大坝安全远程、大范围巡检，可显著减少人工巡检工作量，并可在极端自然条件下取代人工巡检及时掌握大坝等水工建筑物运行情况。研究结果可为水库大坝的安全监控提供重要参考和技术支撑。

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李倩（1990-），女，工程师，研究方向为水工结构、大坝安全监测与监控，E-mail：582706402@qq.com

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李倩（1990-），女，工程师，研究方向为水工结构、大坝安全监测与监控，E-mail：582706402@qq.com

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