Some key operation variables influencing hotmetal silicon content were selected, and time lag of each of them was obtained. A standardized fuzzy system model was developed to approach the random nonlinear dynamic system of the change of silicon content, forecast the change of silicon content and calculate silicon content. The prediction of hot metal silicon content is very successful with the data collected online from BF No. 1 at Laiwu Iron and Steel Group Co.
参考文献
| [1] | Biswas A K.Principles of Blast Furnace Ironmaking[M].Calcutta:SBA Publication,1984 |
| [2] | LIU Xiang-guan;LIU Fang.Optimization and Intelligent Control System of Blast Furnace Ironmaking Process[M].北京:冶金工业出版社,2003 |
| [3] | Michael J A;Berry Gordon Linoff.Data Mining Techniques[M].New York:Wiley Computer Press,1997 |
| [4] | WANG L X.Fuzzy Systems are Universal Approximators[A].San Diego, CA,USA,1992:1163-1170. |
| [5] | ZHOU Guan-wu;YANG Tian-jun;LIU Yun-cai et al.The Method of BF Ironmaking Based on AI Expert System[P].中国专利 93108671.X, 1998 |
| [6] | 丁晶,王文圣,赵永龙.以互信息为基础的广义相关系数[J].四川大学学报(工程科学版),2002(03):1-5. |
上一张
下一张
上一张
下一张
计量
- 下载量()
- 访问量()
文章评分
- 您的评分：
-
10%
-
20%
-
30%
-
40%
-
50%