A LEAKAGE ZONE IDENTIFICATION METHOD FOR WATER DISTRIBUTION NETWORKS BASED ON VIRTUAL PRESSURE PARTITION

SONG Wenke; WANG Shanyue; TAO Tao

doi:10.13205/j.hjgc.202307025

Volume 41 Issue 7

Jul. 2023

Turn off MathJax

Article Contents

Article Navigation > ENVIRONMENTAL ENGINEERING > 2023 > 41(7): 184-191

SONG Wenke, WANG Shanyue, TAO Tao. A LEAKAGE ZONE IDENTIFICATION METHOD FOR WATER DISTRIBUTION NETWORKS BASED ON VIRTUAL PRESSURE PARTITION[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(7): 184-191. doi: 10.13205/j.hjgc.202307025

Citation:

SONG Wenke, WANG Shanyue, TAO Tao. A LEAKAGE ZONE IDENTIFICATION METHOD FOR WATER DISTRIBUTION NETWORKS BASED ON VIRTUAL PRESSURE PARTITION[J]. ENVIRONMENTAL ENGINEERING , 2023, 41(7): 184-191. doi: 10.13205/j.hjgc.202307025

Citation:

PDF( 4374 KB)

A LEAKAGE ZONE IDENTIFICATION METHOD FOR WATER DISTRIBUTION NETWORKS BASED ON VIRTUAL PRESSURE PARTITION

doi: 10.13205/j.hjgc.202307025

College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China

Received Date: 2022-03-10

Abstract

Abstract

For the problem of leakage identification of water distribution networks, this paper proposed a leakage identification method based on virtual pressure partition. The dimension of the leakage identification problem was reduced by virtual pressure partition of water distribution networks, and the distribution of real leakage flow in the network was optimized by a genetic algorithm. The method was divided into virtual pressure partition and leakage zone identification. Firstly, based on the improved K-means clustering algorithm, the network nodes were divided into different regions with adjacent locations, similar average free water heads and connected topological structures. Secondly, the regional proportional coefficient was taken as the decision variable, and the objective function was to minimize the difference between the simulated value and the measured value at the pressure measuring point, and the real leakage situation of each region was identified. A small verification case was designed based on the No. 8 area of the water distribution network in L Town, Z City, to verify the accuracy of the method in identifying different leakage conditions. Subsequently, the water distribution network in L Town was also used for practical engineering application. The results show that the proposed method divides the nodes well, and the identification results of the serious leakage area in the network are consistent with the actual situation, which can assist in the leakage detection of large water distribution networks.
- leakage zone identification,
- virtual pressure partition,
- real leakage,
- optimization,
- K-means clustering

FullText(HTML)

References(15)

References

[1]	王杉月,张葵,艾静,等.供水管网漏损检测与识别技术研究进展[J].净水技术,2020,39(8):49-55.
[2]	刘小帅,廖振良.城镇供水管网漏损检测及定位技术研究进展[J].能源环境保护,2021,35(5):16-22.
[3]	BOULOS P F.Managing leaks using flow step-testing, network modeling, and field measurement[J].Journal American Water Works Association, 2011, 103(2):90-97.
[4]	董文瑾,梁俊卿,孔潇潇.一种基于双向LSTM的供水管网漏损定位方法[J].水电能源科学,2021,39(4):105-108.
[5]	ADACHI S, TAKAHASHI S, ZHANG X, et al.Estimation of area leakage in water distribution networks:a real case study[C]//Proceedings of the Computing and Control for the Water Industry (CCWI2015)-Sharing the Best Practice in Water Management, Univ Exeter.Leicester, ENGLAND, F, 2015.
[6]	艾静.供水管网水力模型与监测数据耦合的漏损区域识别[D].上海:同济大学,2019.
[7]	唐鹏翔.阀门协同泵站联调联控的压力管理技术研究[D].长沙:湖南大学,2019.
[8]	张飞凤.供水管网优化压力控制漏失研究[D].哈尔滨:哈尔滨工业大学,2012.
[9]	吴晓蓉.K-均值聚类算法初始中心选取相关问题的研究[D].长沙:湖南大学,2008.
[10]	YANG X S, DEB S.Cuckoo search via levey flights[C]//Proceedings of the World Congress on Nature and Biologically Inspired Computing.Coimbatore, INDIA, F, 2009.
[11]	LI H, LIU X, HUANG Z G, et al.Newly emerging nature-inspired optimization-algorithm review, unified framework, evaluation, and behavioural parameter optimization[J].Ieee Access, 2020:872620-872649.
[12]	MANTEGNA R N.Fast, accurate algorithm for numerical-simulation of levy stable stochastic-processes[J].Physical Review E, 1994, 49(5):4677-4683.
[13]	AINOLA L, KOPPEL T, TIITER K, et al.Water network model calibration based on grouping pipes with similar leakage and roughness estimates[M].Building Partnerships, 2000:1-9.
[14]	GERMANOPOULOS G.A technical note on the inclusion of pressure dependent demand and leakage terms in water supply network models[J].Civil Engineering Systems, 1985,2(3):171-179.
[15]	张俊, 陶涛.基于压力驱动的管网漏损模型[J].供水技术, 2015, 9(5):40-44.