TY - JOUR
T1 - Efficient Pipe Burst Detection in Tree-Shape Water Distribution Networks Using Forward-Backward Transient Analysis
AU - Pan, Bin
AU - Duan, Huan Feng
AU - Keramat, Alireza
AU - Meniconi, Silvia
AU - Brunone, Bruno
N1 - Funding Information:
This study is supported by the Hong Kong Research Grants Council (RGC) under the project No. 15200719.
Publisher Copyright:
© 2022. American Geophysical Union. All Rights Reserved.
PY - 2022/11
Y1 - 2022/11
N2 - Transient-based leak/burst detection has received more and more attentions in the operation and management of water distribution networks. However, with the increase in pipe network complexity, it is hard to detect and locate the potential pipe defects and water losses efficiently. Recently, we proposed an efficient leak/burst localization strategy in single pipelines based on the forward and backward transient analysis, and in this work, this effective approach is customized for the more realistic branched (tree-shaped) pipe networks. Unlike traditional transient-based methods which rely on tedious optimization procedures, the proposed method uses a mismatch property between forward and backward analyses of transient signals for the pipe burst detection during the water supply process. Compared with other developed methods, this method can directly calculate the defect location, so it is expected to have high efficiency and wide applicability. To fulfill this goal, a framework for burst detection in a tree-shaped pipe network is developed in this paper. Using the mass conservation and energy relations at the branched junctions, the forward and backward transient analysis is extended from one pipe to another until the burst is found and then located in the network. Both experimental and numerical tests show the effectiveness of the proposed method, and further analysis has shown that the method is also valid for leak detection in both transient and steady conditions, confirming the robustness and practicality of this proposed method. At last, this paper discusses the influence of transient sources and the potential combination of the method with other methods.
AB - Transient-based leak/burst detection has received more and more attentions in the operation and management of water distribution networks. However, with the increase in pipe network complexity, it is hard to detect and locate the potential pipe defects and water losses efficiently. Recently, we proposed an efficient leak/burst localization strategy in single pipelines based on the forward and backward transient analysis, and in this work, this effective approach is customized for the more realistic branched (tree-shaped) pipe networks. Unlike traditional transient-based methods which rely on tedious optimization procedures, the proposed method uses a mismatch property between forward and backward analyses of transient signals for the pipe burst detection during the water supply process. Compared with other developed methods, this method can directly calculate the defect location, so it is expected to have high efficiency and wide applicability. To fulfill this goal, a framework for burst detection in a tree-shaped pipe network is developed in this paper. Using the mass conservation and energy relations at the branched junctions, the forward and backward transient analysis is extended from one pipe to another until the burst is found and then located in the network. Both experimental and numerical tests show the effectiveness of the proposed method, and further analysis has shown that the method is also valid for leak detection in both transient and steady conditions, confirming the robustness and practicality of this proposed method. At last, this paper discusses the influence of transient sources and the potential combination of the method with other methods.
KW - pipe burst detection
KW - transient analysis
KW - tree-shape network
KW - water leakage
KW - water supply pipe
UR - http://www.scopus.com/inward/record.url?scp=85142883238&partnerID=8YFLogxK
U2 - 10.1029/2022WR033465
DO - 10.1029/2022WR033465
M3 - Journal article
AN - SCOPUS:85142883238
SN - 0043-1397
VL - 58
JO - Water Resources Research
JF - Water Resources Research
IS - 11
M1 - e2022WR033465
ER -