加热炉钢坯温度场的预报模型

Neural Network Forecasting Model of Slab Temperature Field in Heating Furnace

利用神经网络建模方法建立钢坯表面温度场的预报模型,设计了网络结构,进行了仿真研究和分析,该模型可以较好地满足工程需要,有利于提高加热炉的控制水平及节约能源。并通过有限差分法建立钢坯内部温度场模型,该模型可以计算出任意时刻钢坯的温度场。

In this paper, the slab temperature forecasting model based on the neural network modeling method is proposed. The simulation results indicated that the novel can meet practice requirement, and perform well in enhancing the precision control of heating furnace and saving energy.