基于案例推理的磨矿过程粒度设定方法研究  

Research on methods of setting particle size during grinding process based on CBR

作　　者：刘晓青[1] 刘琪[1] 

机构地区：[1]周口师范学院物理与电子工程系,河南周口466001

出　　处：《矿山机械》2011年第2期85-88,共4页Mining & Processing Equipment

基　　金：河南省教育厅自然科学研究计划项目(2008B510027)

摘　　要：磨矿过程特性复杂,传统建模方法难以对磨矿粒度进行优化设定。提出采用案例推理方法对磨矿粒度进行优化设定,避免了难以对磨矿过程建立精确数学模型的问题;并应用到酒钢选矿厂磨矿流程中,粒度设定值与实测值对比结果表明,该方法效果较好。Due to the complexity of grinding operations,traditional modeling methods are hard to set optimal particle size.In the paper,a case-based reasoning method is proposed to set the optimal particle size,which avoids the difficulties in the precise establishment of mathematical models.The method is applied to the grinding operation in the concentration plant of Jiuquan Steel Group,the comparison results between the preset particle size and measured one verify the feasibility of the method.

关 键 词：案例推理 磨矿过程 粒度设定方法 

分 类 号：TD921[矿业工程—选矿] TP181[自动化与计算机技术—控制理论与控制工程]