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Calculation of Water Supply Network Leakage Based on Kalman Filter Algorithm
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Yi-lin WANG, Shen DONG, Mou LV, Huan ZHAO
Water Resources and Power | 2023, 41(6) : 98 - 101
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Water Resources and Power | 2023, 41(6): 98-101
• WATER CONSERVANCY AND HYDROPOWER ENGINEERING •
Calculation of Water Supply Network Leakage Based on Kalman Filter Algorithm
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Yi-lin WANG, Shen DONG, Mou LV, Huan ZHAO
Affiliations
  • School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China
Published: 2023-06-25 doi: 10.20040/j.cnki.1000-7709.2023.20221586
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With the acceleration of urbanization in China, the demand for water resources is increasing, and the leakage of the water supply pipe network has caused waste of water resources. Therefore, leakage control is imminent. The first is to accurately calculate the leakage of the pipe network, but the current methods have certain deficiencies. Based on the Kalman filter, this paper establishes an analysis model of pipeline network leakage, and uses the empirical formula of node leakage, standard Kalman filter (SKF) and innovation adaptive Kalman filter (IAKF) to calculate the leakage of the pipeline network, respectively. Taking the actual pipe network project as an example, the EPANET simulation was carried out, and the calculation results were compared. The results show that using both filtering algorithms is more accurate than the nodal leakage formula, and the result of the IAKF algorithm is better than that of the SKF algorithm. This provides a theoretical basis for accelerating the research on leakage control technology and implementing scientific and effective leakage control methods, which has certain significance for urban water saving and sustainable development.

water supply network leakage  /  Kalman filter  /  innovation adaptive Kalman filter  /  EPANET
Yi-lin WANG, Shen DONG, Mou LV, Huan ZHAO. Calculation of Water Supply Network Leakage Based on Kalman Filter Algorithm[J]. Water Resources and Power, 2023 , 41 (6) : 98 -101 . DOI: 10.20040/j.cnki.1000-7709.2023.20221586
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20221586
  • Receive Date：2022-07-02
  • Online Date：2026-01-28
  • Published：2023-06-25
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  • Received：2022-07-02
  • Revised：2022-08-25
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    School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China
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