摘要
某钢铁企业焦化厂在炼焦过程中集气管压力设定值过去主要依照经验人为给定,难以通过真实工况变化同步调整,无法达到生产期望,故而如何确定集气管压力设定值,保证集气管压力稳定是炼焦生产过程中急需解决的问题。因此,提出了一种间接优化方法。利用焦化厂海量的炼焦生产历史数据,采用多目标优化理论,分别建立炼焦能耗、焦炭质量和产量与集气管压力的关联模型,并通过优化模型计算出最优生产目标,得出与之对应的集气管压力设定值。仿真结果表明,优化方法的结果满足现场需求,为集气管压力控制研究提供了依据。
In the coking plant production process of an iron and steel enterprise, the set point of gas collector pressure is set according to human experience, it is difficult to adjust the set point in real time according to different conditions. In order to determine the manifold pressure setting and ensure the stable pressure of the trachea, an indi- rect optimization method is proposed. Using the historical data of the blast furnace, models of coking energy consump- tion, coke quality and coke production are built respectively. The target set of tracheal pressure is calculated by these optimization models, and the optimal solution of collector pressure setting is obtained. The results show that this method satisfies requirements of site, and provides the basis for controlling collector pressure.
作者
李爱莲
韩长海
LI Ai-lian;HAN Chang-hai(College of Information Engineering, Inner Mongolia University of Science and Technology, Baotou Inner Mongolia 014010, China)
出处
《计算机仿真》
北大核心
2017年第11期339-343,共5页
Computer Simulation
基金
内蒙古自治区自然科学基金资助项目(2016MS0610)
内蒙古科技大学产学研合作培育基金项目(PY-201512)
关键词
焦炉
关联模型
多目标优化
集气管压力设定值
Coke oven
Correlation model
Multi-objective optimization
Gas collector pressure setting