Leakage Location Method of Water Supply Network Based on Graph Theory and Bayesian Theorem

Leakage Location Method of Water Supply Network Based on Graph Theory and Bayesian Theorem

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Tong WANG^a^,^b, Bing-qing KANG^a^,^b, Zhong-yu LI^a^,^b, Duo-lin ZHU^a^,^b, Qing-yi WANG^a^,^b, Hong-bin ZHAO^a^,^b, De-lun XU^a^,^b, Lei HONG^a^,^b

Water Resources and Power | 2023, 41(8) : 135 - 138

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Water Resources and Power | 2023, 41(8): 135-138

• WATER CONSERVANCY AND HYDROPOWER ENGINEERING •

Leakage Location Method of Water Supply Network Based on Graph Theory and Bayesian Theorem

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Tong WANG^a^,^b, Bing-qing KANG^a^,^b, Zhong-yu LI^a^,^b, Duo-lin ZHU^a^,^b, Qing-yi WANG^a^,^b, Hong-bin ZHAO^a^,^b, De-lun XU^a^,^b, Lei HONG^a^,^b

Affiliations

^a.School of Civil Engineering and Architecture, Chang’an University, Xi’an 710061, China

^b.Key Laboratory of Water Supply and Sewerage, Ministry of Housing and Urban-Rural Development, Chang’an University, Xi’an 710061, China

Published: 2023-08-25 doi: 10.20040/j.cnki.1000-7709.2023.20221676

Outline

Abstract

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At present, most leakage location methods rely on the hydraulic model of the pipe network. However, when the accuracy of the hydraulic model cannot meet certain requirements, or when the model cannot be established due to the lack of basic data, the model-based method will fail. For this purpose, the study of the leakage location of the water supply network was carried out on the basis of pressure monitoring data. Based on the modeling theory of graph theory, the interpolation method for estimating the node pressure of pipe network was obtained. The leakage position was estimated by analyzing the residual of the pressure monitoring value of each node and the measured value after the leakage occurs. With the help of Bayesian theorem, time-series reasoning was carried out on the positioning results, and the node with the largest probability in a certain period of time was regarded as the location where leakage occurs. By using the case of L Town, the state of pipe network was simulated when single point leakage occured, and the feasibility and location performance of the leakage location method were verified.

Key words

water supply network / leakage location / graph theory / Bayes theorem / pressure monitoring data

Cite this Article

Tong WANG, Bing-qing KANG, Zhong-yu LI, Duo-lin ZHU, Qing-yi WANG, Hong-bin ZHAO, De-lun XU, Lei HONG. Leakage Location Method of Water Supply Network Based on Graph Theory and Bayesian Theorem[J]. Water Resources and Power, 2023 , 41 (8) : 135 -138 . DOI: 10.20040/j.cnki.1000-7709.2023.20221676

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Year 2023 volume 41 Issue 8

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Article Info

doi: 10.20040/j.cnki.1000-7709.2023.20221676

Receive Date：2022-08-14
Online Date：2026-01-28
Published：2023-08-25

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History

Received：2022-08-14
Revised：2022-10-04

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Affiliations

^a.School of Civil Engineering and Architecture, Chang’an University, Xi’an 710061, China

^b.Key Laboratory of Water Supply and Sewerage, Ministry of Housing and Urban-Rural Development, Chang’an University, Xi’an 710061, China

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表12种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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