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ZENODO
Report . 2020
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Report . 2020
License: CC BY
Data sources: Datacite
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A Real Time Method to Detect the Burst Location of Urban Water Supply Network

Authors: Zhang, Weiping; Liu, Jingqing; Han, Lifei; Li, Yalin; Li, Xiujuang; Shi, Zhiman; Yu, Junfeng; +1 Authors

A Real Time Method to Detect the Burst Location of Urban Water Supply Network

Abstract

This paper proposes a practical method for rapid and accurate detection of pipe burst segment. By using the water pressure of the measuring points that are optimally arranged in the water supply network through the SCADA system and utilization status assessment, calculates the water pressure of all nodes of the network under the normal state and the pipe burst state and characteristic value of pipe burst based on the limited information collected through the measuring points and finally determine the pipe burst location by fuzzy similarity priority ratio. This method is combined with SCADA system to effectively utilize the pressure measuring points in the pipe network and make the whole pipe network under real-time control by combining with the state estimation. Our burst identification and location model has been applied to pipes burst events in 2018, which verifies the validity of the model. We applied the model to 2019 data, identified 8 pipe burst events, and predicted the time and location of pipe burst.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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