数据挖掘在热轧平整机轧制力计算偏差补偿模型中的应用

Application of Data Mining in Rolling Force Deviation Compensation Model of Hot Rolling Skin Mill

分析了数据库技术及数据挖掘常用算法,以热轧平整机轧制力计算偏差补偿为例,建立了数据挖掘的热轧平整机轧制力补偿模型.经实际检验,模型在生产应用中完全满足生产实际要求,对现有的基于二级数学模型计算的薄规格板带后期工艺再处理生产的进一步优化具有深远的意义.

The database technology and the common algorithms of data mining are analyzed. In the case of the rolling force deviation compensation of the hot rolling skin mill, the rolling force compensation model of data mining of the hot rolling skin mill is built. Practical test shows that the model can satisfy the actual production requirements in the actual production and has far-reaching significance on the further optimization in the later treatment reprocessing of the existing thin strip based on the secondary mathematical model.