Issue |
E3S Web Conf.
Volume 79, 2019
International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2018)
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|
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Article Number | 01015 | |
Number of page(s) | 6 | |
Section | Analysis of Architecture Materials Performance and Landscape Design | |
DOI | https://doi.org/10.1051/e3sconf/20197901015 | |
Published online | 15 January 2019 |
Optimal layout of pressure monitoring points in water supply network based on Optics
Anhui Province Key Laboratory of Intelligent Building and Building Energy Saving, Anhui JianZhu University, Hefei, China
* Corresponding author: xcl@ahjzu.edu.cn
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.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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