Layout Optimization of Large-scale Urban Water Supply Network Pressure Measuring Point Distribution Using Genetic Algorithm
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- 英文论文题名：Layout Optimization of Large-scale Urban Water Supply Network Pressure Measuring Point Distribution Using Genetic Algorithm
- 论文作者：Huayi Luo ; Jingcheng Wang ; Xiaocheng Li ; Jiayu Zhu
- 英文论文作者：Huayi Luo ; Jingcheng Wang ; Xiaocheng Li ; Jiayu Zhu ; Department of Automation ; Shanghai JiaoTong University ; and Key Laboratory of System Control and Information Processing ; Ministry of Education of China ; Autonomous Systems and Intelligent Control International Joint Research Center ; Xi'an Technological University
- 年：2017
- 作者机构：Department of Automation,Shanghai JiaoTong University,and Key Laboratory of System Control and Information Processing,Ministry of Education of China;Autonomous Systems and Intelligent Control International Joint Research Center,Xi'an Technological University;
- 英文论文关键词：pressure measuring point ; layout optimization ; genetic algorithm ; urban water supply network
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：TP18;TU991.33
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：5
- 文件大小：304k
- 原文格式：D
- 会议级别：全国
摘要
In the urban water supply system, the location and quantity of the pressure monitoring nodes play a significant role for the monitoring effect and the response warning of the pipe burst. However, most installation of pressure monitoring nodes are based on human experience, which cannot totally present the whole water supply system condition. In view of the unreasonable layout of pressure monitoring nodes, this paper presents a solution Integrating sensitivity analysis, genetic algorithm, hydraulic model calculation and pipe network topology. Then optimize the number of pressure monitoring nodes by considering the amount of water covered and the number of associated nodes. This solution offers a relatively accurate and reasonable way to optimize the layout of pressure monitoring nodes in large-scale site selection, presenting better comprehensive effect compared with previous layout. To a certain extent, this optimized layout of pressure monitoring nodes reduce the impact of human factors and improve the monitoring of water supply network operation results.
In the urban water supply system, the location and quantity of the pressure monitoring nodes play a significant role for the monitoring effect and the response warning of the pipe burst. However, most installation of pressure monitoring nodes are based on human experience, which cannot totally present the whole water supply system condition. In view of the unreasonable layout of pressure monitoring nodes, this paper presents a solution Integrating sensitivity analysis, genetic algorithm, hydraulic model calculation and pipe network topology. Then optimize the number of pressure monitoring nodes by considering the amount of water covered and the number of associated nodes. This solution offers a relatively accurate and reasonable way to optimize the layout of pressure monitoring nodes in large-scale site selection, presenting better comprehensive effect compared with previous layout. To a certain extent, this optimized layout of pressure monitoring nodes reduce the impact of human factors and improve the monitoring of water supply network operation results.
In the urban water supply system, the location and quantity of the pressure monitoring nodes play a significant role for the monitoring effect and the response warning of the pipe burst. However, most installation of pressure monitoring nodes are based on human experience, which cannot totally present the whole water supply system condition. In view of the unreasonable layout of pressure monitoring nodes, this paper presents a solution Integrating sensitivity analysis, genetic algorithm, hydraulic model calculation and pipe network topology. Then optimize the number of pressure monitoring nodes by considering the amount of water covered and the number of associated nodes. This solution offers a relatively accurate and reasonable way to optimize the layout of pressure monitoring nodes in large-scale site selection, presenting better comprehensive effect compared with previous layout. To a certain extent, this optimized layout of pressure monitoring nodes reduce the impact of human factors and improve the monitoring of water supply network operation results.
引文
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[2]Li R,Huang H,Xin K,et al.A review of methods for burst/leakage detection and location in water distribution systems[J].Water Science&Technology Water Supply,2015,15(3):429.
[3]马涛.供水管网在线测压点布置的探讨[J].黑龙江水利科技,2006,34(1):77-79.
[4]王俊岭,孙怀军.给水管网测压点的一种优化布置方法[J].北京建筑工程学院学报,2005,21(4):51-54.
[5]尹兆龙,信昆仑,项宁银.供水管网压力监测点布置的实用方法[J].中国给水排水,2014(2):19-23.
[6]刘美侠.城市供水管网监测点优化与爆管定位模型研究[D].河北农业大学,2009.
[7]黄廷林,丛海兵.给水管网测压点优化布置的模糊聚类法[J].中国给水排水,2001,17(11):50-52.
[8]刘书明,王欢欢,徐鹏,等.多目标大规模供水管网监测点的优化选址[J].清华大学学报(自然科学版),2013(1):78-83.
[9]Zhang L W,Zhanga W W.Optimal Layout of Pressure Monitoring Points in Water Distribution Systems Based on Improved Genetic Algorithm[J].Energy Procedia,11:1327-1333.
[10]Bing C H,Lin H T.Application of optimal distribution of pressure measurement points and state estimation in Xi'an water distribution network[J].Journal of Xian University of Architecture&Technology,2003.
[11]Subair S,Abraham L.Intelligent Pressure Measuring System[J].International Journal of Computer Science&Mobile Computing,2014,3(8).
[12]Zhang L W,Zhanga W W.Optimal Layout of Pressure Monitoring Points in Water Distribution Systems Based on Improved Genetic Algorithm[J].Energy Procedia,11:1327-1333.
[13]Khaksar-Haghani F,Kia R,Mahdavi I,et al.A genetic algorithm for solving a multi-floor layout design model of a cellular manufacturing system with alternative process routings and flexible configuration[J].The International Journal of Advanced Manufacturing Technology,2013,66(5):845-865.
[14]金希东.遗传算法及其应用[D].西南交通大学,1996.
[15]王忠伟.工程项目时间—成本均衡遗传算法终止条件的确定[J].森林工程,2004,20(6):29-30.