基于辅料资源运行特性的炼钢终点优化控制

End Point Optimized Control for BOF Steel-Making Process Based on the Characteristic of Subsidiary Material′s Movement

炼钢终点的准确控制是炼钢厂确保生产有序合理、保证钢水质量的重要前提。从辅料资源运行特性的角度分析了炼钢终点控制过程工艺,并在此基础上建立了以改进粒子群优化算法求解的终点优化控制模型,得出了终点优化控制策略。试验结果表明,终点预报误差ω(ΔC)<±0.03%的命中率提高至93.1%,ω(ΔT)<±12K的命中率为94%,补吹氧时间为2.5min,辅料资源量节约15%左右,该模型达到了较好的优化效果。

Accurate controlling of end point was of important premise to ensuring the production reasonable and guaranteeing steel quality in steel plant.A general analysis of end point controlling process was analyzed from the aspect of characteristic of subsidiary material′s movement.With a particle swarm optimization PSO-based improved algorithm,an optimization control model for end point was established,and then an optimal controlling strategy was presented.The experimental results show the hit of the model with ω（ΔC）±0.03% is about 93.1% and with ω（ΔT）±12 K is 94%,oxygen blowing time is shorted to 2.5 min,the subsidiary material savings of about 15%,the model achieved better optimization result.