A Sintering Quality Prediction and Evaluation System Based on Multiphase Flow Supergraph Neural Network
Under the background of"dual carbon",steel,as a key energy consuming industry,urgently needs to optimize its ore blending structure.To keep up with the tide of the times,this project proposes a sintering ore quality prediction and evaluation system based on multiphase flow hypergraph neural network.Firstly,collect the chemical composition,internal return rate,and other indicator values of the sintered ore mixture.Secondly,use hypergraphs to learn text data.Finally,establish a quality pre-diction and evaluation system for sintered ore.This system can be applied to optimize ore blending,enabling sintering raw ma-terials to have good granulation and mineralization properties,achieving high yield,high quality,and low consumption sinter-ing production.
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