| 高炉炉况的智能化判断方法 |
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| 引用本文： | 梁栋,白晨光,邱贵宝,温良英,陈登福,董凌燕.高炉炉况的智能化判断方法[J].钢铁研究学报,2006,18(9):0-56. |
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| 作者姓名： | 梁栋 白晨光 邱贵宝 温良英 陈登福 董凌燕 |
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| 作者单位： | 重庆大学材料科学与工程学院,重庆,400044 |
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| 摘 要： | 提出了采用模糊聚类的方法，采集7种易于获得的高炉操作数据进行聚类分析，再结合神经网络训练，自行生成初始知识库，最终形成基本炉况判断专家系统。以随机采取的某445 m3高炉的现场数据(共150组)进行了验证性分析，结果表明，聚类方法适当，判断分析结果与高炉操作者的判断结果高度吻合，说明这是一种可行的高炉智能控制的新方法。
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| 关 键 词： | 高炉冶炼 人工智能 模糊聚类 |
| 文章编号： | 1001-0963（2006）09-0056-03 |
| 收稿时间： | 2004-11-22 |
Research on Intelligence Diagnose Method for Blast Furnace Operation |
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| LIANG Dong,BAI Chen-guang,QIU Gui-bao,WEN Liang-ying,CHEN Deng-fu,DONG Ling-yan.Research on Intelligence Diagnose Method for Blast Furnace Operation[J].Journal of Iron and Steel Research,2006,18(9):0-56. |
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| Authors: | LIANG Dong BAI Chen-guang QIU Gui-bao WEN Liang-ying CHEN Deng-fu DONG Ling-yan |
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| Affiliation: | School of Materials Science and Engineering, Chongqing University, Chongqing 400044, China |
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| Abstract: | A method using fuzzy clustering to build BF expert system was studied. Seven easy to-handle operational variables were used to cluster at first. Artificial neural network was used to train data after cluster analysis. The initial knowledge base was self created. On the basis of knowledge base, an expert system for judging BF operation was generated at last, 150 groups of production data were used to test the system. The results conformed to the judgment of operators. |
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| Keywords: | BF ironmaking artificial intelligence fuzzy clustering |
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