摘要
利用理论计算及实际生产经验值,建立了一种解析炼钢过程控制要素的智能化炼钢控制模型,用于对渣料减量化炼钢、石灰石替代石灰、铁矿石熔融还原和留碳作业等炼钢技术进行优化。实施后,成功地将转炉终点双命中率由原来的65%稳定提升到85%以上,喷溅率由原来的12%降低到8%以下,煤气回收率得到了明显提升,降低生产成本15元/t以上,CO2排放量减少28.77 kg/t,年排放量减少约11.5万t,在实现智能化、环境友好型炼钢中取得新进展。
An intelligent steelmaking control model for analyzing the control elements of steelmaking process is established by using theoretical calculation and practical production experience value, which can be used to optimize steelmaking technology such as slag reduction steelmaking, replacing of lime with limestone, iron ore smelting reduction and carbon retention operation. After implementation, the double hit rate of converter end point has been steadily increased from 65% to more than 85%, and the splash rate has been reduced from 12% to less than 8%. The gas recovery rate has been obviously improved, the production cost has been reduced by more than 15 yuan/t, and the annual emission of CO2 has been reduced by about 115 000 tons. New progress has been made in the realization of intelligent and environmentally friendly steelmaking.
作者
阚永海
KAN Yong-hai(Tianjin Tiangang United Special Steel Co., Ltd., TIANJIN 301500)
出处
《天津冶金》
CAS
2019年第4期1-5,14,共6页
Tianjin Metallurgy
关键词
转炉
智能化
模型
渣量
排放
成本
converter
intelligence
model
slag quantity
discharge
cost