基于OPLS的加热炉吨钢煤耗优化的研究与应用

Research and application of coal consumption optimization per ton steel based on OPLS

文章利用轧钢加热炉生产过程的历史数据,建立起钢坯出炉温度的OPLS数学模型和吨钢煤耗的OPLS数学模型,再通过数据转换的方法,挖掘出影响吨钢煤耗波动和出炉温度波动的主要参数。最后,通过双目标优化法对两个数学模型的主要参数进行优化设计,被优化的参数能够在满足多种限制条件下自动调整,使钢坯的出炉温度满足工艺制度的同时,将吨钢煤耗控制在最低水平,从而达到降低能源消耗的目的。研究结果表明,基于OPLS算法建立的加热炉煤耗数学模型能够显著降低钢铁冶炼过程加热炉的吨钢煤耗,具有一定的理论价值与工程指导意义。

In the paper,based on the historical data of the production process of the reheating furnace for steel rolling,the OPLS mathematical model of billet discharging temperature and the OPLS mathematical model of coal consumption per ton of steel are established by using the OPLS model algorithm.Through data conversion,the main parameters that affect the fluctuation of coal consumption per ton steel and the fluctuation of furnace temperature can be mined out.Finally,the main parameters of these two mathematical models are optimized by the double objective optimization method,so that the optimized parameters can be adjusted automatically under various restrictions,the temperature of billet discharging can meet the process system,and the coal consumption per ton of steel can be controlled at the lowest level,so as to achieve the purpose of energy saving and consumption reduction.The results show that the mathematical model based on OPLS model algorithm can effectively reduce the coal consumption of heating furnace,which has certain theoretical and application value.