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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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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1724310899818233856 |