基于物料平衡和智能工况识别的磨矿分级专家系统  

Grinding Classification Expert System Based on Material Balance and Intelligent Identification to Condition

作　　者：邹国斌[1,2] 王庆凯[1,2] 徐宁[1,2] 王宝胜 谢敏雄 

机构地区：[1]北京矿冶研究总院,北京100160 [2]矿冶过程自动控制技术北京市重点实验室,北京100160 [3]山东黄金矿业(莱州)有限公司三山岛金矿,山东莱州261442

出　　处：《有色金属（选矿部分）》2015年第6期74-77,87,共5页Nonferrous Metals（Mineral Processing Section）

基　　金：国家高技术研究发展计划(863计划)项目(2011AA060203)

摘　　要：针对选矿过程经典的一段闭路磨矿流程的特点建立专家控制系统。从人工操作经验中提炼出基于物料平衡关系的规则,智能识别各种工况并做特殊处理,实现了磨矿分级操作量的优化设定,减轻了工人的劳动强度,优化了系统输出指标,达到了减员增效的目的。According to the characteristics of the closed circuit of grinding process, an expert system was realized. Rules based on the material balance are extracted from the experience of the workers, and the system does special treatment while various working conditions are recognized intelligently. The optimum setting of the grinding classification operation is realized. This work reduces the labor intensity of workers, while optimized the system output. The purpose of staff reduction and benefit increase are reached.

关 键 词：物料平衡 智能工况 磨矿分级 专家系统 

分 类 号：TD672[矿业工程—矿山机电] TD676