摘要
利用模糊聚类方法 ,优化选择了西安市给水管网测压点 .在某一工况下 ,分别用优化选择的测压点水压和按经验选择的测压点水压估计所有节点的水压 ,用于管网的状态模拟 .计算表明 ,模糊聚类选择的测压点具有较好的代表性 ,估计的 1 1 5个节点水压值与实测值误差的方均根为 1 .3 8m,估计精度较高 ,能满足管网模拟的要求 .同时表明 。
Many pressure measurement points have been selected based on Fuzzy Clustering method for Xi'an water distribution network. Under an operation condition, with the nodal pressure of pressure measurement points selected with Fuzzy Clustering method or experiment method as observed parameter ,all nodal pressure have been estimated for state simulating. The calculation shows that the pressure measurement points selected by Fuzzy Clustering method are typical, and the equal square root of water pressure error between estimated value and observed value of 115 nodes is 1.38m, which is good enough for state simulating of water distribution network. The precision of state estimation developed by using water pressure of pressure measurement points selected with Fuzzy Clustering method is higher than that selected by experiment method
出处
《西安建筑科技大学学报（自然科学版）》
CSCD
2003年第1期40-43,共4页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金
教育部高等学校优秀青年教师教学科研奖励计划项目
陕西省自然科学基金资助项目 ( 99C0 6)
关键词
西安市
给水管网
测压点
优化布置
模糊聚类
状态估计
误差
water distribution network
pressure measurement point
optimal distribution
Fuzzy Clustering
state estimation
error
