摘要
热轧板形模型大都建立在大量简化与假设基础之上,计算精度存在瓶颈。借鉴聚类分析和案例学习等数据挖掘方法,利用历史数据建立热轧板形PC角设定案例库,提出一种热轧板形PC角的智能设定方法。首先,对大量轧制历史数据进行聚类分析,挖掘出带钢板形控制良好的轧制案例,建立一个初始的轧制案例库。接着,在日常生产中不断对该案例库进行迭代学习,将更优秀的轧制案例分层别更新到案例库;使用时,通过相似度计算从案例库中找到与当前带钢最接近的轧制案例,取出其对应的PC角进行在线板形设定。该方法已成功应用于宝钢1580热连轧机组,在线应用表明可以有效提高热轧带钢板形控制精度。
The hot rolling plate profile models were mostly built based on a great deal of simplifications and hypotheses,and there were bottlenecks in calculation accuracy of these models.The data mining methods including cluster analysis and case study were referenced.The hot rolling plate shape PC angle setting case library was established by historical data,and a new intelligent setting method of hot rolling plate shape PC angle was proposed.Firstly,some rolling cases with good strip shape were excavated through the cluster analysis on a large number of rolling historical data,and an initial rolling case library was built.Then,the iterative learning was applied in the case library during daily production,and the better cases were updated to the case library according to their layers.When using it,the rolling case closest to the current strip condition was selected from case library by similarity computation,and the corresponding PC angle was taken for the online plate shape setting.This method has been successfully applied to the Baosteel 1580 hot rolling production line,and the online application indicates that the control precision of strip shape can be effectively improved.
出处
《钢铁研究学报》
CAS
CSCD
北大核心
2017年第8期654-659,共6页
Journal of Iron and Steel Research
基金
湖北省教育厅科学技术研究计划重点资助项目(D20161103)
武汉市青年科技晨光计划资助项目(2016070204010099)
教育部人文社会科学研究青年基金资助项目(16YJCZH056)
湖北省教育厅人文社会科学研究青年基金资助项目(17Q034)
关键词
热轧带钢
板形控制
案例推理
聚类分析
hot-rolled strip
profile control
case-based reasoning
clustering analysis
