西北水电Issue(3)：17-21,5.DOI:10.3969/j.issn.1006-2610.2025.03.003
基于伪随机流场法与水下机器人融合的水库大坝渗漏探测研究
Research on Leakage Detection Based on Pseudo-Random Flow Field Method and Underwater Robot Integration
赖胜 1牛志杰 1张明财1
作者信息
- 1. 中国电建集团西北勘测设计研究院有限公司,西安 710065
- 折叠
摘要
Abstract
To address the challenge of diagnosing leakage hazards in small reservoirs in alpine regions of western China,this study takes the dam of the Ma'erdang Hydropower Station as the research object and proposes a leakage detection method combining the pseudo-ran-dom flow field method with underwater robot technology.Through collaborative detection of single-three-component electromagnetic fields using the pseudo-random flow field method,combined with a quantitative evaluation system of anomaly coefficients(k)and relative seep-age proportion,leakage anomaly areas are preliminarily identified.Underwater robots are used to verify the anomaly areas through optical imaging and ink-jet tests.The results show that the single-three-component collaborative detection technology successfully identifies leakage anomaly areas in the right bank slope,left bank dam shoulder,and left bank slope.The seepage proportion of the right bank slope is 72%,suggesting it is the main leakage source.Optical imaging and ink-jet tests on anomaly areas using intelligent underwater robots prove that the detection results of the pseudo-random flow field method are accurate and reliable.This method realizes the transi-tion from qualitative judgment to quantitative evaluation of leakage areas,effectively improving the reliability of detection results.关键词
伪随机流场法/渗漏检测/水下机器人验证/异常程度评估Key words
Pseudo-random flow field method/leakage detection/underwater robot verification/anomaly degree evaluation分类
天文与地球科学引用本文复制引用
赖胜,牛志杰,张明财..基于伪随机流场法与水下机器人融合的水库大坝渗漏探测研究[J].西北水电,2025,(3):17-21,5.
