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供水管网节点流量不确定性对漏损定位的影响
引用本文:雷雨晴,杜 坤,丁榕艺,毛润康,陈 攀.供水管网节点流量不确定性对漏损定位的影响[J].教育技术导刊,2020,19(1):144-147.
作者姓名:雷雨晴  杜 坤  丁榕艺  毛润康  陈 攀
作者单位:昆明理工大学 建筑工程学院,云南 昆明 650500
基金项目:国家自然科学基金项目(51608242);云南省应用基础研究青年项目(2017FD094)
摘    要:供水管网中的节点流量具有不确定性,为了研究节点流量不确定性对供水管网漏损定位能力的影响,建立供水管网节点流量分布在不同条件下的需求分布水力模型。一种是供水管网中各节点平均分配流入量的均匀模型,另一种是在供水管网各节点按需分配流入量的分配模型,比较两种需求分布模型的漏损定位性能。利用加权最小二乘算法完成供水管网水力模型的漏损定位,加权最小二乘算法具有模型精度高和计算效率高的优点,该方法通过计算供水管网中监测值与水力模型模拟值的差异,判断是否发生漏损,并能准确定位漏损节点。最后通过实例证明供水管网节点流量的不确定性对供水管网漏损定位性能有突出影响。

关 键 词:供水管网  节点流量  漏损定位  加权最小二乘法  蒙特卡罗算法  
收稿时间:2019-10-08

Influence of Uncertainty of Flow Rate in Water Supply Network Node on Leakage Location
LEI Yu-qing,DU Kun,DING Rong-yi,MAO Run-kang,CHEN Pan.Influence of Uncertainty of Flow Rate in Water Supply Network Node on Leakage Location[J].Introduction of Educational Technology,2020,19(1):144-147.
Authors:LEI Yu-qing  DU Kun  DING Rong-yi  MAO Run-kang  CHEN Pan
Institution:Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China
Abstract:The node flow in the water supply pipe network is uncertain. In order to study the influence of the uncertainty of the node flow on the leakage capacity of the water supply pipe network, the demand distribution hydraulic model under the different flow distribution of the water supply pipe network is established. One is a uniform model of the average distributed inflow of each node in the water supply pipe network, and the other is an allocation model of the inflow distribution on demand of each node of the water supply pipe network, and the leakage positioning performance of the two demand distribution models is compared. The weighted least squares algorithm is used to complete the leakage location of the hydraulic model of the water supply network. The weighted least squares algorithm has the advantages of high model accuracy and high calculation efficiency. The method calculates the difference between the monitoring value and the hydraulic model simulation value in the water supply network, to judge whether a leak has occurred and to accurately locate the leaky node. Finally, an example is given to prove that the uncertainty of the flow rate of the water supply pipe network has prominent impacts on the leakage performance of the water supply pipe network.
Keywords:water supply network  node flow  leakage location  weighted least squares  Monte Carlo algorithm  
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