Open AccessResearch on dam leakage detection based on visual and acoustic integration: a case study of CFRD
Author(s) -
Jiexiong Tan,
Mixue Wang,
Jinzhang Tian,
Yi Xu,
Yantao Zhu,
Lixian Huang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/525/1/012053
Subject(s) - leakage (economics) , underwater , sonar , water leakage , flood myth , engineering , marine engineering , computer science , environmental science , geology , artificial intelligence , oceanography , materials science , economics , composite material , macroeconomics , philosophy , theology
Many safety issues can arise during the long operation time of dams because of various internal and external factors, among which dam leakage problems happen frequently. Dam leakage not only affects the normal functions of a dam, such as power generation, water supply, and irrigation, but also weakens the flood control ability of the structure and increases the risk of dam failure. According to the existing problems in concrete face rockfill dam(CFRD) leakage detection, an integrated leakage detection technology is proposed in this paper. The proposed technology can analyze the dam safety monitoring data and then combine the high-precision sonar and underwater robot detection to provide solutions for dam leakage problems.