Consensus Algorithm-Based Approach to Fundamental Modeling of Water Pipe Networks

被引:4
作者
Lee, Shin Je [1 ]
Lee, Jong Min [1 ]
Wu, Jingbo [2 ]
Allgower, Frank [2 ]
Suh, Jung Chul [3 ]
Lee, Gibaek [4 ]
机构
[1] Seoul Natl Univ, Inst Chem Proc, Sch Chem & Biol Engn, Seoul 08826, South Korea
[2] Univ Stuttgart, Inst Syst Theory & Automat Control, D-70569 Stuttgart, Germany
[3] Samchully Corp, Seoul 07328, South Korea
[4] Korea Natl Univ Transportat, Dept Chem & Biol Engn, Chungju Si 27469, Chungbuk, South Korea
基金
新加坡国家研究基金会;
关键词
mathematical modeling; water pipe networks; consensus algorithm; fault diagnosis; state estimation; LEAK DETECTION;
D O I
10.1002/aic.15760
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Modeling the flow dynamics of leaks in water pipe networks is an extremely difficult problem due to the complex entangled network structure and hydraulic phenomenon. A mathematical model for leak dynamics in water pipe networks based on consensus algorithm and water hammer theory is proposed. The resulting model is a simple and linearly interconnected system even though the dynamics of water pipe networks has considerable complexity. The model is then validated using experimental data obtained from real pipe network. A comparative study demonstrates the proposed model can describe the real system with high qualitative and quantitative accuracy and it can be used to develop model-based leak detection and location algorithm based on state estimation. To show applicability of the proposed model, we apply cooperative H-infinity estimation to the developed model. The results demonstrate the consensus-based pipe model can be potentially used for leak detection and location with state estimation. (C) 2017 American Institute of Chemical Engineers
引用
收藏
页码:3860 / 3870
页数:11
相关论文
共 14 条
[1]  
Boussafeur-Lamoudi K, 2013, AUTOMATED SIMPLIFICA, P1
[2]   Optimization models for operative planning in drinking water networks [J].
Burgschweiger, Jens ;
Gnaedig, Bernd ;
Steinbach, Marc C. .
OPTIMIZATION AND ENGINEERING, 2009, 10 (01) :43-73
[3]   A selective literature review of transient-based leak detection methods [J].
Colombo, Andrew F. ;
Lee, Pedro ;
Karney, Bryan W. .
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH, 2009, 2 (04) :212-227
[4]   A non-linear multiple-model state estimation scheme for pipeline leak detection and isolation [J].
Emara-Shabaik, HE ;
Khulief, YA ;
Hussaini, I .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2002, 216 (I6) :497-512
[5]   Analysis of the smallest detectable leakage flow rate of negative pressure wave-based leak detection systems for liquid pipelines [J].
Ge Chuanhu ;
Wang Guizeng ;
Ye Hao .
COMPUTERS & CHEMICAL ENGINEERING, 2008, 32 (08) :1669-1680
[6]  
Ghidaoui M. S., 2005, Applied Mechanics Review, V58, P49, DOI 10.1115/1.1828050
[7]   Robust leak detection and its localization using interval estimation for water distribution network [J].
Kim, Yeonsoo ;
Lee, Shin Je ;
Park, Taekyoon ;
Lee, Gibaek ;
Suh, Jung Chul ;
Lee, Jong Min .
COMPUTERS & CHEMICAL ENGINEERING, 2016, 92 :1-17
[8]   Online Burst Detection and Location of Water Distribution Systems and Its Practical Applications [J].
Lee, Shin Je ;
Lee, Gibaek ;
Suh, Jung Chul ;
Lee, Jong Min .
JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2016, 142 (01)
[9]  
Maschler T., 1999, CENT WATER SYST REP, V1, P119
[10]   Consensus and cooperation in networked multi-agent systems [J].
Olfati-Saber, Reza ;
Fax, J. Alex ;
Murray, Richard M. .
PROCEEDINGS OF THE IEEE, 2007, 95 (01) :215-233