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Digital twin‑based real‑time monitoring system for pump‑turbines
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Qifei LI1, 2, Runtao LI1, Lu XIN1, Xiangyu CHEN1
Fluid Machinery | 2025, 53(5) : 102 - 109
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Fluid Machinery | 2025, 53(5): 102-109
Digital twin‑based real‑time monitoring system for pump‑turbines
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Qifei LI1, 2, Runtao LI1, Lu XIN1, Xiangyu CHEN1
Affiliations
  • 1College of Energy and Power Engineering，Lanzhou University of Technology，Lanzhou 730050，China
  • 2Key Laboratory of Fluid Machinery and Systems，Gansu Province，Lanzhou 730050，China
Published: 2025-05-30 doi: 10.3969/j.issn.1005-0329.2025.05.013
Outline
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To address the insufficient digitalization and intelligence of pumped storage units during operation，as well as the long computation time of existing simulation software that fails to meet real‑time requirements for digital twin systems，this study proposes a digital twin‑based solution to enhance monitoring and prediction capabilities for pump‑turbines.A reduced‑order model was established using proper orthogonal decomposition （POD） and integrated into the system via the FMI protocol，achieving visual interaction through Open3D point cloud with the entire process taking only 728.6 milliseconds.Simultaneously，a pressure pulsation prediction model based on long short‑term memory （LSTM） networks was developed for operational condition forecasting，with prediction accuracy exceeding 96%.Additionally，a complete digital twin system was developed using the Unity3D platform and validated for effectiveness and feasibility.This research provides a novel solution for the digitalization and intelligence of pumped storage units，holding significant implications for the intelligent upgrade and modern transformation of the hydropower industry.

pump‑turbine  /  digital twin  /  reduced‑order model  /  long short‑term memory network  /  monitoring and prediction
李琪飞, 李润涛, 辛路, 陈祥玉. 基于数字孪生的水泵水轮机实时监测系统. 流体机械, 2025 , 53 (5) : 102 -109 . DOI: 10.3969/j.issn.1005-0329.2025.05.013
Qifei LI, Runtao LI, Lu XIN, Xiangyu CHEN. Digital twin‑based real‑time monitoring system for pump‑turbines[J]. Fluid Machinery, 2025 , 53 (5) : 102 -109 . DOI: 10.3969/j.issn.1005-0329.2025.05.013
Appendix
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Year 2025 volume 53 Issue 5
74
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Article Info
doi: 10.3969/j.issn.1005-0329.2025.05.013
  • Receive Date：2024-09-09
  • Online Date：2026-10-20
  • Published：2025-05-30
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History
  • Received：2024-09-09
  • Revised：2025-02-25
Affiliations
    1College of Energy and Power Engineering，Lanzhou University of Technology，Lanzhou 730050，China
    2Key Laboratory of Fluid Machinery and Systems，Gansu Province，Lanzhou 730050，China
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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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