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A visual digital twin framework based on residual-based fourier neural operator online simulation method

Author

Listed:
  • Guodong Sa
  • Chenhui Wu
  • Zhenyu Liu
  • Daxin Liu
  • Bin Li
  • Wugang Wang
  • Jianrong Tan

Abstract

To enjoy a wonderful cooking experience in a smart kitchen, users and designers need a visual interaction platform. This paper proposes a DT framework incorporating data processing, flow field online simulation, equipment monitoring, interaction and visualization. Specifically, the DT online simulation and visualization of the kitchen fume flow field serve as the foundation for appliance design and control. Additionally, users can gain deeper insight into the state and change trends of the kitchen. To address the online simulation of the flow field, a RFNO online simulation method is proposed. In addition, this paper proposes an Echarts-based 2D and UE5-based 3D flow field visualization method to enable dynamic visualization and interaction of the flow field. The proposed DT framework was successfully verified in the case of the smart kitchen, demonstrating its efficiency and effectiveness.

Suggested Citation

  • Guodong Sa & Chenhui Wu & Zhenyu Liu & Daxin Liu & Bin Li & Wugang Wang & Jianrong Tan, 2025. "A visual digital twin framework based on residual-based fourier neural operator online simulation method," Journal of Simulation, Taylor & Francis Journals, vol. 19(3), pages 328-348, May.
    • Handle: RePEc:taf:tjsmxx:v:19:y:2025:i:3:p:328-348
    DOI: 10.1080/17477778.2024.2394063
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