基于Logistic模型的钼-钨品位与回收率关系分析及预测  

Analysis and Prediction of Relationship between Molybdenum,Tungsten Grade and Recovery Based on the Logistic Model

作　　者：顾清华[1,2] 李继涛 卢才武[1] 

机构地区：[1]西安建筑科技大学,陕西西安710055 [2]洛钼集团博士后科研工作站,河南栾川县471500

出　　处：《矿业研究与开发》2013年第3期43-45,63,共4页Mining Research and Development

基　　金：陕西省重点学科建设专项资金项目(E08001);西安市科技计划项目(CX1253④)

摘　　要：矿石品位与回收率是采矿及选矿生产中的关键参数,准确掌握金属矿石品位与回收率的关系及规律,可有效提高金属综合回收利用率,大幅提高选矿技术水平。针对洛钼集团各钼、钨选厂进行选矿实际数据收集,分别采集到钼品位与回收率数据1120组,钨品位与回收率数据1636组,综合考虑粗选和精选回收率,利用Logistic模型建立了原矿品位与回收率的趋势预测模型,利用MATLAB软件对该模型进行了模拟及预测,通过实验表明该模型宏观上揭示了洛钼集团当前钼钨原矿入选品位与回收率之间的变化规律,并可以利用该模型进行回收率的预测分析,为采矿及选矿生产管理提供科学依据。Ore grade and recovery are the key parameter of the mining and mineral processing production. The accurate understanding of relations and laws of ore grade and recovery is help to effectively increase the comprehensive recovery of metals and improve the level of mineral processing. Based on actual production data respectively collected form various mineral separations of Luoyang Luanchuan Molybdenum Industry Group（LLMIG）, such as 1120 groups of molybdenum grade and recovery and 1636 groups of tungsten grade and recovery, comprehensively considering the roughing and cleaning recovery of the samples, grade and recovery trend prediction models of run-of-mine ore were established by use of Logistic model,then the simulation and forecast of the established models were carried out with software MAT- LAB. The experiment results showed that the established models macroscopieally reveals the changing laws between the grade and recovery of raw molybdenum-tungsten ore in LLMIG at the present, can be used to forecast and analyze recoveries of raw molybdenum and tungsten, can provide scientific basis for the production management of mining and mineral processing.

关 键 词：钼-钨品位 选矿回收率 LOGISTIC模型 趋势预测 

分 类 号：TD952[矿业工程—选矿]