Digital Twin-driven 3D Visualization Monitoring and Fault Warning for Wind Turbine

YANG Weixin; FAN Xiaowei; SUN Rongfu; SUN Yamin; DING Ran

doi:10.15892/j.cnki.djzdxb.2023.02.016

Journal of Projectiles, Rockets, Missiles and Guidance >

2023 , Vol. 43 >Issue 2: 94 - 102

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2023.02.016

Digital Twin-driven 3D Visualization Monitoring and Fault Warning for Wind Turbine

YANG Weixin ¹^,² ,
FAN Xiaowei ² ,
SUN Rongfu ² ,
SUN Yamin ¹^,² ,
DING Ran ²

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¹ Electric Power Research Institute, State Grid Jibei Electric Power Co., Ltd., Beijng 100045, China
² State Grid Jibei Electric Power Co., Ltd., Beijng 100052, China

Received date: 2022-08-25

Online published: 2025-02-24

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Abstract

To improve the real-time, precision and intelligence of operation state monitoring and fault warning of wind turbine, digital twin-driven 3D visualization monitoring and fault warning for wind turbine is proposed. Systematic framework of 3D visualization real-time monitoring and fault warning for wind turbine based on digital twins is constructed. A method for data collection and data governance of wind turbine is designed based on cloud-edge collaboration. Web-based 3D visualization monitoring of wind turbine is realized by using WebGL and 3D model lightweight technology. Fault warning model is built based on CNN (convolutional neural networks) and LSTM (long and short term memory) for fault warning for key components in wind turbine. A prototype system is designed and developed for verifying the effectiveness and feasibility of the proposed approach.

Key words： digital twin; cloud-edge collaboration; wind turbine; 3D visualization monitoring; fault warning

Cite this article

YANG Weixin , FAN Xiaowei , SUN Rongfu , SUN Yamin , DING Ran . Digital Twin-driven 3D Visualization Monitoring and Fault Warning for Wind Turbine[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2023 , 43(2) : 94 -102 . DOI: 10.15892/j.cnki.djzdxb.2023.02.016

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