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Adaptive prediction model combined with the time difference method is used in the model of hot metal silicon content prediction. Required original data of model parameters collected after using OPC technology standard for transmission to store in the database system. Due to the interference of production environment, computing the data for the mean filtering and interpolation on the first process is needed. Then average, and standard deviation statistics gradient computation is needed as the secondary process。Using fuzzy theory to various process parameters normalization parameter extraction complex eigenvalues as iron the silicon content of the model input parameters. While the process,continuously correcting the weight coefficient through multiple linear regression is necessary. The operating result in improving the mathematical model.