This paper introduces a new intelligent control method for Basic Oxygen Furnace (BOF) steelmaking dynamic process, by combining Neural Network, Fuzzy Inference, Expert System with dynamic process control method of BOF steelmaking. The control system is composed of the preset model of the dynamic requirement for oxygen blowing and coolant adding, bath Carbon and temperature prediction model, and judgment Expert System for blowing-stop. The control method of BOF steelmaking process has been successfully applied in some steelmaking plants and improves the bath Hit Ratio (HR) significantly. It shows that the method is effective.