智能制造在梅钢炼钢厂的应用实践

Application practice of intelligent manufacturing in Meisteel Steelmaking Plant

上海梅山钢铁股份有限公司炼钢厂围绕智能制造技术,在不同的生产工序开展了研究,从铁水预处理、转炉冶炼、炉外精炼、连铸4个工序,结合生产操作开展了模型化、智能化、自动化的智能制造技术,并取得了较好的应用实践效果。在铁水预处理工序开展了一键脱硫模型的开发,实现了脱硫操作一键化,对铁水扒渣的判定进行了智能化的研究,实现了对扒渣过程的智能判定,替代了人工判定扒渣等级。在转炉区域开展了转炉冶炼模型的研究,实现了一键炼钢冶炼控制,使得转炉终点控制更加稳定,补吹率在1%以下。在精炼工序开展合金模型的研究和应用,对降低合金总成本、提高钢水成分控制精度也发挥了重要的作用。在连铸工序开展自动浇钢综合研究,实现了无人浇钢控制技术,大大提高了劳动效率。

The steelmaking plant of Shanghai Meishan Iron and Steel Co.,Ltd.carried out research on different manufacturing processes around the intelligent manufacturing.In the four processes,including the hot metal pretreatment process,converter smelting,secondary refining and continuous casting,combined with the production operation,the modeling,intelligent and automated intelligent manufacturing technology was developed,and the better application of practical results were achieved.In the hot metal pretreatment process,the one-key desulfurization model research was performed,and the aim of one-key desulfurization operation was achieved.Then the intelligent research on the determination of grilled molten iron slag was carried out,and the intelligent determination of the slag removal process was achieved,which replaced the artificial determination of the slag grade.In the converter area,the converter smelting model was studied,and the one-key steelmaking smelting control was achieved,which resulted in the more stable control of the converter end point and the blowing rate of 1% or less.In the refining process,the alloy model was studied,and the application of alloy mode played an important role in reducing the total cost of the alloy and improving the control accuracy of molten steel composition.In the continuous casting process,a comprehensive research on automatic casting steel was conducted,and the no-pouring steel control technology was achieved,which greatly improved the efficiency of labor.