BOF Intelligent Dynamic Endpoint Control
转炉炼钢智能动态终点控制(英文)

Being aimed at BOF (basic oxygen furnace) process which is complicated,has many factors influencing the endpoint, and is difficult to be measured continuously and accurately,the intelligent dynamic endpoint control based on the sublance information is proposed. The BOF endpoint temperature and carbon content are predicted by use of gray model and neural network compensation. On the basis of this,the RBF neural network is regarded as presetting model,and the oxygen and coolant during the reblowing period are adjusted through fuzzy adjustment.A 180t converter is simulated.The results show that the method is effective.