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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 control of the end of steelmaking is an important prerequisite for steel mills to ensure an orderly production and to ensure the quality of molten steel. Based on the operation characteristics of excipient resources, the process of steel-making endpoint control process is analyzed. Based on this, an end-point optimization control model based on improved particle swarm optimization algorithm is established and the terminal optimization control strategy is obtained. The test results show that the hitting rate of end point prediction error ω (ΔC) <± 0.03% is increased to 93.1%, the hitting rate of ω (ΔT) <± 12K is 94%, the time of charging oxygen injection is 2.5min, the material resource saving 15 %, The model has achieved a better optimization effect.