Open AccessAn underground pipeline leakage monitoring and precise positioning method based on multi-point signal compensation
Author(s) -
Yulong Li,
Fan Yang,
Huijie Guo
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 - 10.1088/1755-1315/450/1/012118
Subject(s) - leakage (economics) , pipeline transport , leak , pipeline (software) , noise (video) , leak detection , computer science , real time computing , engineering , artificial intelligence , environmental engineering , mechanical engineering , economics , image (mathematics) , macroeconomics
Underground pipelines are an important infrastructure for cities and an important basis for ensuring the normal operation of urban production and life. As the earliest types of pipelines built in the urban underground pipe network, the water supply network and the heat pipe network of many cities have already experienced aging phenomena. Pipeline leakage and pipe burst accidents frequently occur, resulting in serious waste of water resources and greatly increasing operating costs [1]. At the same time, there are major security risks. Pipeline leak detection is an important task. There are many kinds of pipeline leakage detection methods [2], and the best one is the water leakage detection correlator, which can locate the location of the leakage point. However, the correlation instrument can not eliminate the environmental noise interference well during the leak detection process, and the positioning result sometimes has a large deviation. In order to solve this problem, an underground pipeline leakage monitoring and precise positioning method based on multi-point signal compensation is proposed. The method increases the third acquisition point of the noise signal, and compensates for the positioning deviation caused by the environmental noise through the signal of the third point, achieving accurate positioning of leak points.