Abstract
This paper designs a set of VD furnace temperature control decision-making system. In the refining process, the harsh environment and harsh conditions can be overcome, and the control and prediction of VD furnace outlet temperature can be realised. According to the known parameters of the current smelting information, a matching model is established, and a GM (1, N) model based on grey theory is designed to predict the temperature. At the same time, the control parameter optimisation model is designed, and the local optimisation method is used to optimise the control parameters to calculate the prediction accuracy. The experimental results show that the system can accurately control the refining temperature of the VD furnace and effectively improve the quality of steel. This is of great significance to improve steelmaking production efficiency and reduce costs.
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