摘要
针对供水管网水质监测点的优化选址问题,提出了部分覆盖的概念,将单一的覆盖标准扩展为覆盖标准区间,认为当下游节点水量来自上游节点的比例在最小覆盖标准与最大覆盖标准之间时,在下游节点设置水质监测点,不仅能够监测其自身的水质状况,而且可以在一定程度上部分地反映上游节点的水质状况.建立了部分覆盖下水质监测点优化选址的数学模型,以覆盖水量最大为目标,结合一管网算例设计了求解该数学模型的基于二进制编码的混合粒子群算法.算例结果表明,部分覆盖较完全覆盖对水质监测点优化选址的结果影响较大,同时覆盖标准的区间化更有利于决策过程的实施.
The notion of partial coverage was proposed and the single coverage criterion was extended to coverage criterion interval for optimizing water quality monitoring stations in water distribution network. Analysis shows that if the proportion of water delivered from the upstream node to sampled node is between the minimal and maximal coverage criteria, the water sampled at the downstream node can not only be used to detect the water quality of this node but also reflect that of upstream nodes partially. The mathematical model of optimizing water quality monitoring stations in presence of partial coverage was formulated, which aimed to maximize demand coverage. A case study illustrated the binary coded hybrid particle swarm optimization （PSO） algorithm designed to solve the model. Results showed that the partial coverage has larger effect on the solution of optimizing stations than the complete coverage, and the interval coverage criteria is convenient for decision-making.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2008年第1期8-12,共5页
Journal of Zhejiang University：Engineering Science
基金
教育部新世纪优秀人才支持计划资助项目(NCET-04-0525)
关键词
部分覆盖
供水管网
水质监测点
优化选址
混合粒子群优化算法
partial coverage
water distribution network
water quality monitoring station
optimal location
hybrid particle swarm optimization （PSO） algorithm
