Multi-Stage Burst Localization Based on Spatio-Temporal Information Analysis for District Metered Areas in Water Distribution Networks

被引:0
作者
Zhang, Xiangqiu [1 ]
Fang, Yongjun [2 ]
Zhou, Xinhong [3 ,4 ]
Shao, Yu [3 ,4 ]
Yu, Tingchao [3 ,4 ]
机构
[1] Zhejiang Univ Water Resources & Elect Power, Sch Environm Sci & Engn, Hangzhou 310018, Peoples R China
[2] Zhejiang Univ Water Resources & Elect Power, Sch Geomatics, Hangzhou 310018, Peoples R China
[3] Zhejiang Univ, Zhejiang Key Lab Drinking Water Safety & Distribut, Hangzhou 310058, Peoples R China
[4] Zhejiang Univ, Inst Municipal Engn, Coll Civil Engn & Architecture, Hangzhou 310058, Peoples R China
基金
中国国家自然科学基金;
关键词
burst localization; spatio-temporal pressure information; hydraulic model; water distribution networks; LEAK DETECTION; SENSOR PLACEMENT; LOCATION; IDENTIFICATION; METHODOLOGY; DIAGNOSIS;
D O I
10.3390/w16162322
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Burst events in Water Distribution Networks (WDNs) pose a significant threat to the safety of water supply, leading people to focus on efficient methods for burst localization and prompt repair. This paper proposes a multi-stage burst localization method, which includes preliminary region determination and precise localization analysis. Based on the hydraulic model and spatio-temporal information, the effective sensor sequences and monitoring areas of the nodes are determined. In the first stage, the preliminary burst region is determined based on the monitoring region of sensors and the alarm sensors. In the second stage, localization metrics are used to analyze the dissimilarity degree between burst data from the hydraulic model and the monitoring data from the effective sensors at each node. This analysis helps identify candidate burst nodes and determine their localization priorities. The localization model is tested on the C-Town network to obtain comparative results. The method effectively reduces the burst region, minimizes the search region, and significantly improves the efficiency of burst localization. For precise localization, it accurately localizes the burst event by prioritizing the possibilities of the burst location.
引用
收藏
页数:16
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