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基于K-Means聚类的炼钢生产过程控制目标优化

发表时间:2019-04-30  浏览量:87  下载量:7
全部作者: 阮威,贺东风,冯凯
作者单位: 北京科技大学冶金与生态工程学院
摘 要: 为实现炼钢过程产品质量的窄窗口控制,研究基于K-Means聚类方法和炼钢机理分析,提出了炼钢过程各工序的控制目标优化方法。并进行案例分析,分析结果验证了该方法的有效性。在现有生产条件下,RH处理后的炉次命中率可从86.2%提升至92.0%.
关 键 词: 钢铁冶金;质量控制;K-Means;控制目标
Title: Optimization of steelmaking process control objectives based on K-Means clustering
Author: RUAN Wei, HE Dongfeng, FENG Kai
Organization: School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing
Abstract: In order to realize the narrow window control of the quality of the steelmaking process, based on the K-Means clustering method and the analysis of the steelmaking mechanism, the optimization method for the control objectives of each step in steelmaking process was put forward. A case study was carried out to verify the effectiveness of the method. Under the existing production conditions, the furnace quality rate with RH treatment can increase from 86.2% to 92.0%.
Key words: ferrous metallurgy; quality control; K-Means; control objectives
发表期数: 2019年4月第2期
引用格式: 阮威,贺东风,冯凯. 基于K-Means聚类的炼钢生产过程控制目标优化[J]. 中国科技论文在线精品论文,2019,12(2):336-340.
 
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