An Intelligent Multiple Modeling Method for BOF Steelmaking Process
In this paper, a novel intelligent control method including forecasting model, presetting model, adjusting model and judgment model for Basic Oxygen Furnace (BOF) steelmaking dynamic process is introduced. The control system is composed of the preset model of the dynamic requirement for oxygen blowing and coolant adding, bath C and temperature prediction model, and judgment Expert System for blowingstop. In the method, Neural Network (NN) technology is used to construct these models above; Fuzzy Inference (FI) is adopted to derive the control law and Expert System (ES) is utilized to judge when BOF blowing stops. The control method of BOF steelmaking process has been successfully applied in some steelmaking plants and improves the bath Hit Ratio (HR) signifi cantly. The industrial application results show that the method is effective.
Xin Wang Jun Tao Hui Yang
Center of Electrical & Electronic Technology Shanghai Jiao Tong University Shanghai, P.R.China 20024 Baosight Software Corporation Shanghai, P.R.China 201900 School of Electrical & Electronic Engineering East China Jiao Tong University Nanchang, Jiangxi, P.R
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）