Study of optimizing oxygen injection in EAF process based on K-means clustering
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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.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.
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Key words:
- EAF /
- coherent oxygen lance /
- cluster
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