An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model
An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model
复制标题
基于水平衡模型参数评估的供水管网泄漏检测综合自下而上方法
DOI:
10.3390/w13060867
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发表时间:
2021-03
期刊:
影响因子:
3.4
通讯作者:
Zhang Hongjian
中科院分区:
文献类型:
--
作者:
Yu Jie;Zhang Li;Chen Jinyu;Xiao Yao;Hou Dibo;Huang Pingjie;Zhang Guangxin;Zhang Hongjian
Loss of water due to leakage is a common phenomenon observed practically in all water distribution networks (WDNs). However, the leakage volume can be reduced significantly if the occurrence of leakage is detected within minimal time after its occurrence. Based on the discriminative behavior of different consumption in water balance, an integrated bottom-up water balance model is presented for leak detection in WDNs. The adaptive moment estimation (Adam) algorithm is employed to assess the parameters in the model. By analyzing the current value and the rising rate of the assessed parameters, abnormal events (e.g., leak, illegal use, or metering inaccuracy) could be detected. Furthermore, a one-step-slower strategy is proposed to estimate the weighted coefficient of pressure sensors to provide approximate location information of leak. The method was applied in a benchmark WDN and an experimental WDN to evaluate its performance. The results showed that relatively small leak could be detected in near-real-time. In addition, the method was able to identify the pressure sensors near to the leak.
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影响因子:
2.7
作者:
A. Cassa;Jean-Pierre van Zyl;R. Laubscher
通讯作者:
A. Cassa;Jean-Pierre van Zyl;R. Laubscher
DOI:
10.2166/ws.2015.101
发表时间:
2015-12
期刊:
Water Science & Technology: Water Supply
影响因子:
--
作者:
J. Schwaller;J. V. Zyl;A. M. Kabaasha
通讯作者:
J. Schwaller;J. V. Zyl;A. M. Kabaasha
影响因子:
4
作者:
C. Berg
通讯作者:
C. Berg
DOI:
10.1061/(asce)wr.1943-5452.0000325
发表时间:
2014-02
影响因子:
3.1
作者:
C. Hutton;Z. Kapelan;L. Vamvakeridou-Lyroudia;D. Savić
通讯作者:
C. Hutton;Z. Kapelan;L. Vamvakeridou-Lyroudia;D. Savić
影响因子:
4.3
作者:
Elias Farah;I. Shahrour
通讯作者:
Elias Farah;I. Shahrour