文章基本信息

标题：Leak Detection in Water Distribution Networks Based on Water Demand Analysis
本地全文：下载
作者：Débora Alves ; Joaquim Blesa ; Eric Duviella 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2022
卷号：55
期号：6
页码：679-684
DOI：10.1016/j.ifacol.2022.07.206
语种：English
出版社：Elsevier
摘要：AbstractThis paper deals with the problem of leak detection in Water Distribution Networks (WDN). A leak detection method based on the water demand analysis of District Metered Areas (DMAs) is proposed. Historical leak-free data of water demand flow is used to extract minimum, maximum values, and statistical distributions of differences (errors) between demand flow and predicted values at different time hours of the day. The concept of sensor fusion is applied to reduce measurement uncertainties. For this, a virtual measurement is generated that considers each hour of the day a feature and, combined, develops a more accurate error analysis capable of detecting leaks and estimating the leak size magnitude. Furthermore, to increase the accuracy of the leak detection method, prediction errors are analyzed in a moving time window. Finally, the performance of the proposed leak detection method is assessed by using actual data of different real DMAs of the Barcelona WDN.
关键词：KeywordsWater Distribution NetworkLeak DetectionFlow Analysis