【摘要】 根据Grassberger和Procaccia提出的Kolmogorov熵计算方法 ,以山东莱芜钢铁集团公司 1号高炉和山西临汾钢铁集团公司 6号高炉测得的铁水硅含量时间序列为样本 ,计算了各自的Kolmogorov熵分别为 (0 14 5 3± 0 0 15 1)nats·h- 1 和 (0 15 5 3± 0 0 14 0 )nats·h- 1 ,并估计了两座高炉铁水硅含量可预测的时间尺度分别约为 6 88和 6 4 4h .由Kolmogorov熵均为大于零的有限值 ,定量地说明了这两座高炉冶炼过程具有混沌性 ,同时提出用Kolmogorov熵值大小来诊断高炉炉况 .更多还原

【Abstract】 Based on the algorithm of Kolmogorov entropy presented by Grassberger and Procaccia, as the time series data of silicon content in molten iron of No.1 BF at Laiwu and No.6 BF at Linfen Iron and Steel Group Cos. to be as samples, their Kolmogorov entropy are computed to be (0.1453±0.0151)nats·h -1 and (0.1553±0.0140)nats·h -1 , and the time scales of forecasting in both BFs are estimated to be about 6.88 and 6.44h respectively. Since the value of Kolmogorov entropy is finite and positive, there is chaos in both blast furnace ironmaking processes, and the idea that Kolmogorov entropy may be used to judge the condition of BF is presented.更多还原