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Innovative Water Supply Network Pressure Management Method—The Establishment and Application of the Intelligent Pressure-Regulating Vehicle

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  • Jinliang Gao

    (State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China)

  • Kunyi Li

    (State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China)

  • Wenyan Wu

    (School of Engineering and the Built Environment, Birmingham City University, Millennium Point, Birmingham B4 7XG, UK)

  • Jianxun Chen

    (State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China)

  • Tiantian Zhang

    (State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150090, China)

  • Liqun Deng

    (Shenzhen ANSO Measurement & Control Instruments Co., Ltd., Shenzhen 518000, China)

  • Ping Xin

    (Shenzhen ANSO Measurement & Control Instruments Co., Ltd., Shenzhen 518000, China)

Abstract

The development of many intelligent technologies, such as artificial intelligence and the Internet of Things, has brought new opportunities for water industry intelligence. Based on intelligent pressure regulation technology, this paper built an intelligent management platform, designed an intelligent pressure-regulating device, and combined both to form an intelligent pressure-regulating vehicle (IPRV). The IPRV has the functions of developing a pressure-regulating scheme, equipment selection, pressure reduction potential analysis, etc. It can bring convenience to the field test of the water supply network. In the field test, an intelligent pressure-regulating device was used to obtain the network data in the pilot site called S-cell. After utilizing the intelligent management platform to analyze the measured data, the water usage pattern and pressure reduction potential of the S-cell were obtained, and an optimal pressure-regulating strategy was formulated. The water pressure at the critical node always met the water demand at the critical node during the field test. In addition, no complaints were received from other users. The results show that the IPRV is not only convenient for utility managers to make decisions on building pressure-reducing stations, but also meets user needs, realizing a win–win situation for both users and companies.

Suggested Citation

  • Jinliang Gao & Kunyi Li & Wenyan Wu & Jianxun Chen & Tiantian Zhang & Liqun Deng & Ping Xin, 2022. "Innovative Water Supply Network Pressure Management Method—The Establishment and Application of the Intelligent Pressure-Regulating Vehicle," Energies, MDPI, vol. 15(5), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1870-:d:763407
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    References listed on IDEAS

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    1. Haitham Mahmoud & Wenyan Wu & Mohamed Medhat Gaber, 2022. "A Time-Series Self-Supervised Learning Approach to Detection of Cyber-physical Attacks in Water Distribution Systems," Energies, MDPI, vol. 15(3), pages 1-18, January.
    2. Annika Malm & Frida Moberg & Lars Rosén & Thomas Pettersson, 2015. "Cost-Benefit Analysis and Uncertainty Analysis of Water Loss Reduction Measures: Case Study of the Gothenburg Drinking Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5451-5468, December.
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