A digital twin framework embedded with pod and neural network for flow field monitoring of push-plate kiln

HIGHLIGHTS

• who: Pin Wu and colleagues from the School of Computer Engineering and Science, Shanghai University, Shanghai, China have published the Article: A Digital Twin Framework Embedded with POD and Neural Network for Flow Field Monitoring of Push-Plate Kiln, in the Journal: Future Internet 2023, 15, x FOR PEER REVIEW of /2023/
• what: The authors propose data-driven framework for real-time flow field prediction by combining the CFD modeling simulation IoT and deep learning technologies. In this paper, a data-driven model (POD-MCNN) embedded with POD and multiscale convolutional neural_network is proposed for . . .
  

   

  

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