基于K-means聚類算法的電弧爐強化用氧的優化研究

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基于K-means聚類算法的電弧爐強化用氧的優化研究

王振宙, 朱榮, 蔣金燕, 牛重生, 胡俊邦

文章導航 > 工程科學學報 > 2007 > 29(S1): 146-149

王振宙, 朱榮, 蔣金燕, 牛重生, 胡俊邦. 基于K-means聚類算法的電弧爐強化用氧的優化研究[J]. 工程科學學報, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

引用本文:

王振宙, 朱榮, 蔣金燕, 牛重生, 胡俊邦. 基于K-means聚類算法的電弧爐強化用氧的優化研究[J]. 工程科學學報, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

WANG Zhenzhou, ZHU Rong, JIANG Jinyan, NIU Chongsheng, HU Junbang. Study of optimizing oxygen injection in EAF process based on K-means clustering[J]. Chinese Journal of Engineering, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

Citation:

WANG Zhenzhou, ZHU Rong, JIANG Jinyan, NIU Chongsheng, HU Junbang. Study of optimizing oxygen injection in EAF process based on K-means clustering[J]. Chinese Journal of Engineering, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

王振宙, 朱榮, 蔣金燕, 牛重生, 胡俊邦. 基于K-means聚類算法的電弧爐強化用氧的優化研究[J]. 工程科學學報, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

引用本文:

王振宙, 朱榮, 蔣金燕, 牛重生, 胡俊邦. 基于K-means聚類算法的電弧爐強化用氧的優化研究[J]. 工程科學學報, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

WANG Zhenzhou, ZHU Rong, JIANG Jinyan, NIU Chongsheng, HU Junbang. Study of optimizing oxygen injection in EAF process based on K-means clustering[J]. Chinese Journal of Engineering, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

Citation:

WANG Zhenzhou, ZHU Rong, JIANG Jinyan, NIU Chongsheng, HU Junbang. Study of optimizing oxygen injection in EAF process based on K-means clustering[J]. Chinese Journal of Engineering, 2007, 29(S1): 146-149. doi: 10.13374/j.issn1001-053x.2007.s1.017

基于K-means聚類算法的電弧爐強化用氧的優化研究

doi: 10.13374/j.issn1001-053x.2007.s1.017

1. 北京科技大學冶金與生態工程學院, 北京 100083;
2. 國家知識產權局專利審查協作中心, 北京 100083;
3. 安陽鋼鐵股份有限公司

作者簡介:
王振宙(1976-),男,博士研究生

中圖分類號: TF31
計量
- 文章訪問數: 164
- HTML全文瀏覽量: 68
- PDF下載量: 6
- 被引次數: 0
出版歷程
- 收稿日期: 2007-02-01
- 修回日期: 2007-04-15
- 網絡出版日期: 2021-08-16

Study of optimizing oxygen injection in EAF process based on K-means clustering

1. Metallurgical and Ecological Engineering School, University and Science Technology Beijing, Beijing 100083, China;
2. Patent Examination Cooperation Center of SIPO, Beijing 100083, China;
3. Anyang Iron and Steel Co Ltd., Anyang 455004, China

摘要: 主要采用數據挖掘技術中的聚類分析算法對電弧爐煉鋼的歷史數據進行分析、加工處理,得出不同熱裝鐵水比、煉鋼成本、氧耗情況下的爐次分類,再利用K-means聚類法得到聚類結果,并對結果進行分析.通過分析比對,在結果的不同分類中選出最優的用氧和用電曲線.
- 電弧爐 /
- 集束氧槍 /
- 聚類
Abstract: The history data produced by steel-making were analyzed and then were processed to classify them according to the differences of hot metal, cost, oxygen consumption and yield. It provides practical infor-mation for the operator. For different sorts, several groups of oxygen injection and active power curves were found representing the corresponding sort and its optimization oxygen injection and active power curve were obtained after processing the curves together.
- EAF /
- coherent oxygen lance /
- cluster

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文章訪問數: 164
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PDF下載量: 6
被引次數: 0

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