块状崩落矿长期生产调度优化及三维混料分析

IF 1.8 Q3 MINING & MINERAL PROCESSING
F. Khodayari, Y. Pourrahimian
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引用次数: 7

摘要

虽然在文献中可以找到一些调度优化模型,但很少有模型包括物料流和由此产生的稀释。本文提出了一种将三维混合方法纳入生产计划模型的方法。为了捕捉水平和垂直的混合,不同的场景是基于粒子落在一个三维的运动锥,CoM生成的。提出的模型是一个包含混合优化的块崩落调度优化器BCSO。在一个具有424个抽点的块状崩落矿中对BCSO进行了实际测试;此外,还使用PCBC GEOVIA软件为同一矿山生成了许多生产计划。由此产生的生产计划表明,与PCBC产生的最佳情况相比,BCSO可以将项目的NPV提高2%至4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-term production scheduling optimization and 3D material mixing analysis for block caving mines
ABSTRACT Although some scheduling optimization models can be found in the literature, few of them include material flow and the resulting dilution. In this paper, a 3D mixing methodology is proposed to be incorporated into the production schedule model. To capture horizontal and vertical mixing, different scenarios are generated based on the particles that fall into a 3D cone of movement, CoM. The proposed model is a block caving scheduling optimizer, BCSO, which includes mixing in the optimization. The BCSO was tested on a real-case block caving mine with 424 drawpoints; also, a number of production schedules were generated for the same mine using PCBC GEOVIA software. Resulting production schedules show that the BCSO can improve the NPV of the project by 2% to 4% compared to the best case generated by PCBC.
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
5
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