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物理学报. 2005, 54(4): 1490-1494.
doi: 10.7498/aps.54.1490.
高炉冶炼过程的混沌性解析
- 收稿日期: 2004-07-02
- 修回日期: 2004-10-27
- 刊出日期: 2005-04-19
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Kol mogorov熵分别为（01453±00151）nats·h-1-1和（01553±0014 0）nats·h-1-1，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644h.由Kolmogorov熵均为大于零的有限值，定量地说明了这两座高炉
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关键词:
- 混沌 /
- Kolmogorov熵 /
- 高炉冶炼过程 /
- 铁水硅含量
English Abstract
Chaotic analysis for blast furnace ironmaking process
- Received Date:
02 July 2004
- Accepted Date:
27 October 2004
- Published Online:
19 April 2005
Abstract: Based on the algorithm of Kolmogorov entropy presented by Grassberger and Procac cia, 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 Kolmo gorov entropy are computed to be (01453±00151)nats·h-1-1 an d (01553±00140)nats·h-1-1, and the time scales of forecasti ng in both BFs are estimated to be about 688 and 644h respectively. Since the value of Kolmogorov entropy is finite and positive, there is chaos in both b last furnace ironmaking processes, and the idea that Kolmogorov entropy may be u sed to judge the condition of BF is presented.
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