Introduction into MMK Blast Furnaces of an Automated System for Smelting Control, Optimization, and Prediction

Abstract

Results are provided for work conducted in the Magnitogorsk Metallurgical Combine blast-furnace workshop for production satisfaction of a blast-furnace automatic control system by stagewise introduction of local systems combining into one automated system for control, optimization, and prediction of blast furnace smelting (ASCOP BF). Using mathematical models and special ASCOP BF algorithms for each blast furnace, there is continuous automatic monitoring of radial and circumferential gas distribution in the bell, circumferential gas distribution in the furnace hearth, material and thermal balances of smelting and furnace heating; optimization of the smelting gas dynamic regime, radial and circumferential gas distribution in the bell, circumferential gas distribution in the furnace hearth, smelting recovery processes, thermal state of a furnace and melting zone parameters; prediction of silicon content in cast iron. The order of conducting operations is proposed and substantiated for achieving maximum productivity and minimum coke consumption with given smelting raw material and operating conditions. It is shown that the mathematical models used in the system by the process described are ready for use in blast furnace automatic control systems already created for blast furnaces in other metallurgical enterprises in order to achieve the best smelting indices.