A Method for Stabilizing Blast Furnace Process Thermal State

摘要

Temperature control is one of the key factors concerning the stable operation of the blast furnace, since the temperature state of the furnace significantly determines the quality of cast iron. A method for stabilizing thermal state of the blast furnace process using a model predictive control is considered. The effectiveness of the method substantially depends on the accuracy of forecasting estimates of the process thermal state indices. A model for predicting the process dynamics in real time based on identification of the blast furnace thermal state characteristics is proposed. The model reflects a dynamic energy balance. It is adapted to predicting the trajectory of changes in silicon content in cast iron, using the specific fuel consumption. The procedure for calculating values of silicon content in cast iron serves for correcting coke supply. An application of the procedure for real data of a blast furnace made it possible to obtain a forecast of the indices of the blast furnace thermal state with an accuracy up to 80%.