Study on the Integrated Optimization of Heating Furnace Production Process

The objective of this paper is to optimise the slab heating process in a dynamic environment. Considering the nonlinear and hysteresis characteristics of slab heating in the furnace production process, an operational optimisation model based on a mixture of mechanism and data and a predictive control model for the furnace are developed. The operation optimisation model determines the current optimal furnace temperature distribution based on the desired slab temperature and the current slab temperature, which is then fed into the predictive control model. The predictive control model uses a rolling optimisation method to predict the furnace temperature and adjusts the fuel flow to change the furnace temperature with the desired temperature as the target, thus enabling the slab to reach the desired temperature through an integrated optimisation method. Finally, a large number of simulation data experiments prove that the furnace temperature change process meets the set requirements, and the goal of improving the production process of the heating furnace is achieved.