摘要
针对给水管网压力监测点优化布置过程中采用单目标函数得到的优化结果不能代表多方面综合因素的问题,以监测点压力监测范围及监测点覆盖节点需水量作为目标函数,管网水力连通性、管网节点压力相关性、管网节点水量影响条件作为约束条件建立多目标压力监测点优化布置数学模型,并利用Matlab平台通过非支配排序遗传算法(NSGA-Ⅱ)求解。将该模型应用于某园区实际管网中,并分析不同约束条件的参数取值对模型所得优化结果的影响程度,以提高监测点布设方案的代表性,同时也验证了NSGA-Ⅱ求解多目标给水管网压力监测点优化布置模型的有效性。
Single target function lacks representation of the comprehensive factors in the specification of pressure monitoring points in water distribution network.Using the number of covered nodes and the demand of covered points as target functions,and using hydraulic connectivity,correlation of node pressure,and effect of node demand as constrains,a multi-objective optimization model for the arrangement of pressure monitoring points was developed in Matlab platform using non-dominant sort genetic algorithm(NSGA-Ⅱ).The model was applied to the distribution system in a district to evaluate the impact of various constrains on the optimization outputs,and to enhance the quality of sampling locations.The validity of the optimization model for the pressure monitoring points selection in water distribution network with the use of non-dominant sort genetic algorithm was confirmed.
作者
彭畅
彭森
吴卿
梁建文
PENG Chang;PENG Sen;WU Qing;LIANG Jian-wen(School of Environmental Science and Engineering,Tianjin University,Tianjin 300350,China;School of Civil Engineering,Tianjin University,Tianjin 300350,China)
出处
《中国给水排水》
CAS
CSCD
北大核心
2019年第1期58-62,共5页
China Water & Wastewater
基金
国家重点研发计划项目(2016YFC0802400)
关键词
给水管网
压力监测点
非支配排序遗传算法
多目标优化
欧氏距离
water distribution network
pressure monitoring point
non-dominant sort genetic algorithm (NSGA-Ⅱ)
multi-objective optimization
Euclidean distance
