Journal of Engineering Research

Based on multiphase flow testing, numerical simulation and deep learning methods, digital twin modeling and application research of gas-solid fluidized bed were carried out in this paper. Firstly, based on the working principle and flow process of gas-solid fluidized bed, a multi-level digital twin framework of fluidized bed is built. In the functional application layer, the core technology and application path of digital twin in the scenario of equipment fault diagnosis and parameter control optimization are analyzed. Finally, the challenges of digital twin technology in gas-solid fluidized bed units are summarized from the aspects of standardization, operation and visualization of digital twin construction. This study can provide theoretical reference for the information, digitization and scientific operation and maintenance control of gas-solid fluidized bed equipment.

Gas-solid fluidized bed; Digital twins; Multiphase flow test; Numerical simulation; Deep learning