考虑矿渣处理的铁矿石关键品位优化决策模型  

Optimization decision model for the key iron ore grades considering tailings processing

作　　者：李斌[1] 刘文胜 LI Bin;LIU Wen-sheng(College of Industrial and Commercial Management,Dongbei University of Finance&Economics,Dalian 116025,China)

机构地区：[1]东北财经大学工商管理学院,辽宁大连116025

出　　处：《控制与决策》2022年第5期1389-1394,共6页Control and Decision

摘　　要：在铁矿石的采选和冶炼过程中,原矿品位、初选品位和精矿品位是与矿石处理成本和固体废物排放量密切相关的3个关键品位,通过优化关键品位指标,可以减小包括矿渣等废物处理费用在内的整个采冶过程的总成本.鉴于此,考察采矿、预选、选矿和冶炼球团阶段铁矿品位与产量、废物排放之间的关系,建立相应的数学模型并在此基础上进行边际分析,得出各阶段品位-链接成本关系模型,提出考虑废物处理成本的品位-成本边际成本指数以评价品位指标,同时提出关键品位指标的集成优化优化方法.将所提出建模方法在鞍钢实际生产中进行应用验证,结果表明与实际生产情况吻合并能对实际生产决策起到指导作用.In mining and metallurgical engineering,the crude,feed and concentrate ore grades are three key interactive factors for both ore processing cost and solid waste emission.The total cost involved in the mining and metallurgical engineering,including the waste processing cost,can be reduced by optimizing the three ore grade decisions.The paper analyzes the relationship between grade and ore output/waste emission in the mining,ore blending,beneficiation and smelting stages,respectively,and thus derives the corresponding grade-cost relationship model.The chained grade cost models are then built and a grade-cost marginal index(GCMI)is defined.A grade optimization method is also developed to determine the grade decisions.Finally,the proposed models and method are applied to a practical numeric sample in the Ansteel Mining,and the analysis results are reasonable and helpful to the practical production decision.

关 键 词：矿渣处理 品位指标 边际成本 优化模型 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]