Application of"Artificial+Intelligence"Compound Regression Management Method in Blast Furnace Production
By summarizing the first-line manual experience,determine key parameters and weight coefficients,form the"artificial+intelligence"compound optimal regression formula;by editing smart programs on computers,real-time collection of key parameters,accurately predict performance indicators,and then guide the actual production management.The model can predict the silica content of blast furnace melted iron with more than 90%accuracy.After the model is implemented,the average silica content of blast furnace melted iron is reduced by about 0.04%,and the high efficiency operation of blast furnace is realized with remarkable economic benefits.
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