炼铜转炉炉况动态预报系统的开发及应用

以传统的物料平衡和热量平衡为基础 ,对炼铜转炉中最新的 30 0炉历史数据进行动态仿真 ,计算出吹炼过程中每隔 1min的熔体主要元素组成和熔体温度 ,然后对之进行四次曲线拟合 ,将拟合出的系数作为人工神经网络的输出 ,优化模块中优化出的操作参数和部分原始数据作为神经网络的输入 ,经过训练 ,使之能模拟吹炼过程中的炉况变化 ,达到炉况监控的目的。可以通过不断增加样本数 ,使网络进行自学习 ,并组合成为炼铜转炉炉况实时预报系统。该系统成功地应用于某厂的炼铜转炉中 ,2 0 0 0年 6～ 10月经过四个多月的试运行 ,炉况实时预报系统使操作人员按系统的预报值指挥生产 ,各项生产指标显著提高 ,粗铜产量提高 6 0 % ,冷料处理量提高 8% ,平均炉寿从原来的 2 13炉至少提高到 2 35炉 ,并为炼铜转炉实现在线控制提供了新思路

DEVELOPMENT AND APPLICATION OF REAL-TIME FORECASTING SYSTEM OF FURNACE CONDITION IN COPPER CONVERTER

Based on the material balance and heat balance,300 groups of historical data about copper converters are simulated dynamically on the computer and main element composition of a melt and the temperature in the molten bath are calculated every other one minute in the period of air refining Then,they are fitted with quartic curve and the coefficients gotten by fitting are regarded as outputs of neural network Partial initial data and the optimized operation parameters are considered as inputs of the neural network Through training,the neural network can simulate the change of the furnace condition during air refining It is able to self study by increasing the number of new samples It is applied to monitor the furnace condition of copper converter and constitute a real time forecast system of furnace condition in copper converter The system has been successfully used in operation of copper converter in a smelter Production quota is obviously improved after running in for four months Copper production and the weight of cold input are increased respectively by 6 0% and by 8 0% Average converter life span is improved from 213 to 235 times A new idea has been provided for realization of in line real time control of copper converter