Optimal layout of pressure monitoring points in water supply network based on Optics

It is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in the pipeline networks. The pressure monitorin...

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Main Authors: Xie ChenLei, Fang QianSheng, Zhang HongYan, Zhang JiXin
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20197901015
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spelling doaj-e01951a7653c4d61916bb074d757f4ef2021-02-02T01:51:56ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01790101510.1051/e3sconf/20197901015e3sconf_arfee2018_01015Optimal layout of pressure monitoring points in water supply network based on OpticsXie ChenLei0Fang QianSheng1Zhang HongYan2Zhang JiXin3Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui JianZhu UniversityAnhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui JianZhu UniversityAnhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui JianZhu UniversityAnhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui JianZhu UniversityIt is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in the pipeline networks. The pressure monitoring point layout is often based on similar degree of the node pressure data in the current stage. A method of optimal pressure monitoring point location in the urban water distribution networks was proposed in this paper. Since the above method did not consider spatial properties of network node. The original feature matrix data is constructed by acquiring the spatial attributes of the pressure monitoring nodes and calculating the non-spatial attributes of the nodes. The original feature matrix data will be normalized. Then the Optics clustering algorithm is used to cluster the normalized node feature matrix data to determine the location and number of pressure monitoring points in monitoring area of urban water distribution networks. Experimental results show that the method effectively ensures that the pressure monitoring points can grasp the pressure information of the whole water supply network more comprehensively and rationally, improves the economy of the pressure monitoring points layout, and provides good guidance for the actual layout of pressure monitoring points in municipal water distribution networks.https://doi.org/10.1051/e3sconf/20197901015
collection DOAJ
language English
format Article
sources DOAJ
author Xie ChenLei
Fang QianSheng
Zhang HongYan
Zhang JiXin
spellingShingle Xie ChenLei
Fang QianSheng
Zhang HongYan
Zhang JiXin
Optimal layout of pressure monitoring points in water supply network based on Optics
E3S Web of Conferences
author_facet Xie ChenLei
Fang QianSheng
Zhang HongYan
Zhang JiXin
author_sort Xie ChenLei
title Optimal layout of pressure monitoring points in water supply network based on Optics
title_short Optimal layout of pressure monitoring points in water supply network based on Optics
title_full Optimal layout of pressure monitoring points in water supply network based on Optics
title_fullStr Optimal layout of pressure monitoring points in water supply network based on Optics
title_full_unstemmed Optimal layout of pressure monitoring points in water supply network based on Optics
title_sort optimal layout of pressure monitoring points in water supply network based on optics
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2019-01-01
description It is necessary to monitor the pressure in the networks in real time, when we face the problem of pipe burst and leakage in urban water supply network. Therefore, it is particularly important to arrange pressure monitoring points in appropriate places in the pipeline networks. The pressure monitoring point layout is often based on similar degree of the node pressure data in the current stage. A method of optimal pressure monitoring point location in the urban water distribution networks was proposed in this paper. Since the above method did not consider spatial properties of network node. The original feature matrix data is constructed by acquiring the spatial attributes of the pressure monitoring nodes and calculating the non-spatial attributes of the nodes. The original feature matrix data will be normalized. Then the Optics clustering algorithm is used to cluster the normalized node feature matrix data to determine the location and number of pressure monitoring points in monitoring area of urban water distribution networks. Experimental results show that the method effectively ensures that the pressure monitoring points can grasp the pressure information of the whole water supply network more comprehensively and rationally, improves the economy of the pressure monitoring points layout, and provides good guidance for the actual layout of pressure monitoring points in municipal water distribution networks.
url https://doi.org/10.1051/e3sconf/20197901015
work_keys_str_mv AT xiechenlei optimallayoutofpressuremonitoringpointsinwatersupplynetworkbasedonoptics
AT fangqiansheng optimallayoutofpressuremonitoringpointsinwatersupplynetworkbasedonoptics
AT zhanghongyan optimallayoutofpressuremonitoringpointsinwatersupplynetworkbasedonoptics
AT zhangjixin optimallayoutofpressuremonitoringpointsinwatersupplynetworkbasedonoptics
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