考虑环境影响的铁矿石关键品位指标的优化决策模型
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作者单位:

1.东北财经大学;2.鞍钢集团矿业有限公司

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TP273

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Modeling?and?Optimizing the Ore Grades?Decision Problem Considering Environment Impact
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Dongbei University Of Finance And Economics

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    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三个关键品位。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。通过考察采矿、预选、选矿和冶炼球团阶段铁矿品位和产量、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,并据此提出考虑废物处理成本的品位- 成本边际成本指数,用以评价品位指标。还提出了关键品位指标的集成优化优化方法。所提出的建模方法在鞍钢实际生产中进行了应用验证,和实际生产情况吻合并能对实际生产决策起到指导作用。

    Abstract:

    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. It can reduce the total cost involved in the mining and metallurgical engineering, including the waste processing cost, to optimize 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. At last, the proposed models and method are applied to a practical numeric sample from Ansteel Mining and the analysis results are reasonable and helpful to the practical production decision.

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历史
  • 收稿日期:2021-08-02
  • 最后修改日期:2021-11-12
  • 录用日期:2021-11-12
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