ANON-LINE METHOD TO DETERMINE MONITOR, CORRESPONDINGLY UPDATE THE ADAPTIVE PARAMETERS FOR REMOVAL OF IMPURITIES FROM HOT METAL IN A BOF STEELMAKING PROCESS CONTROL SYSTEM

摘要

The invention relates to hot Metal from the blast furnaces comprise many impurities which are detrimental to the final quality of the final Steel products. These impurities need to be removed for use in various Steel products. One of the processes to remove these impurities is Basic Oxygen Steelmaking. Oxygen with supersonic speed is injected into the liquid hot metal in BOF converter. Most of impurities get oxidized and the metal at the end of treatment is almost pure Fe. Fluxes and cooling agent are added during BOF treatment. A basic oxygen furnace static model (BSM) has been developed using first principles i.e. Mass Balance and Heat Balance which takes temperature, analysis and weight of Hot Metal; weight and analysis of scrap; target temperature and analysis; and the Adaptative coefficients as the inputs and determines the possible weight of lime, dolomite and iron ore; volume of oxygen, weight and analysis of steel and slag as the outputs. After receiving the actual analysis and data at the end of treatment, another Adaptative Model named BOF Feedback Model (BFM) linked with the BSM, is implemented when all batch data of BOF, is available, and the Adaptative parameters (such as Heat Loss, Oxygen efficiency, Slag Fe efficiency, Phosphorus partition efficiency, Sulphur partition efficiency and Mn partition efficiency) are updated based on actual conditions of the BOF converter and other systems linked with it. The calculated adaptive parameters are filtered using a statistical filter to remove the erroneous data. The Complete control of the BOF process is implemented using a software program, which runs on a general purpose computer and a server.