Research on Inverse Transient Leakage Location of Water Supply Network Based on Genetic Algorithm

Jian Gang Fei; Shen Dong; Mou Lv; Ze Bin Sheng

doi:10.4028/www.scientific.net/AMM.212-213.679

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 212-213Research on Inverse Transient Leakage Location of...

Research on Inverse Transient Leakage Location of Water Supply Network Based on Genetic Algorithm

Abstract:

In order to realize real-time leakage (online) diagnosis, through correlation analysis of the network leakage and pressure variation, using the established microscopic model as the basic hydraulic analysis model, using the position of the network leakage point and the water of leakage point as the variables, using minimizing difference of the network pressure points monitoring value and simulation value as the target when leakage occurs, establish inverse transient leakage location of water supply network model based on genetic algorithm. Finally through the two modes of leakage verification, the result shows that this model can effectively achieve the network leakage location and quantitative.

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Periodical:

Applied Mechanics and Materials (Volumes 212-213)

Pages:

679-683

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.212-213.679

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Online since:

October 2012

Authors:

Jian Gang Fei, Shen Dong, Mou Lv, Ze Bin Sheng

Keywords:

Genetic Algorithm (GA), Inverse Transient Analysis, Leakage Location, Optimization Analysis of Leakage, Water Supply Network

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References

[1] Goodwin, S．J．The Result of The Experimental Programme on Leakage and Leakage Control[R]. Water Res．Centre Swindon, United Kingdom, 1 980.

Google Scholar

[2] Vitkovsky J P, Liggett J A, Simpson A R, et a1．Optimal measurement site locations for inverse transient analysis in pipe networks[J]． Journal of Water Resources Planning and Management, ASCE, 2003, 129(6)：480-492.

DOI: 10.1061/(asce)0733-9496(2003)129:6(480)

Google Scholar

[3] Vitkovsky J P, Simpson A R, Lambert M F．Leak detection and calibration using transients and genetic algorithms[J]．Journal of Water Resources Planning and Management, ASCE, 2000, 126(4)：262-265.

DOI: 10.1061/(asce)0733-9496(2000)126:4(262)

Google Scholar

[4] WU Yue-bin, LIU Tian-shun. Inverse transient analysis-based numerical simulation of leakage in water distribution systems[J]．Journal of Harbin Institute of Technology, 2005, 37(11)：1483-1485.

Google Scholar

[5] GUO Xin-lei, YANG Kai-lin. Hydraulic transient model in frequency domain for leak detection in pipeline systems [J] ．Journal of Hydraulic Engineering, 2008, 39(10) ：1264-1278.

Google Scholar

[6] Enrique Canessa, Christian Droop, Hector Allende, 2012. An improved genetic algorithm for robust design in multivariate systems. Qual Quant, 46: 665–678.

DOI: 10.1007/s11135-010-9420-y

Google Scholar