沙东矿床采矿性能指标的建模

Q4 Engineering
V. Golik, A. Titova
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引用次数: 1

摘要

关联采矿作业的效率取决于矿石损失和贫化的水平,可以通过改进采矿和矿石处理方法来提高效率,因此这一领域的研究是及时和相关的。本研究的目的是通过对技术参数建模来提高矿产开采的性能指标。研究对象是国民经济各个部门的矿业公司开发的硬岩矿床。方法。采矿性能指标的系统化和系统化分析,经济和数学建模与技术评估以及工程预测相结合,解决了传统采矿系统相结合的挑战。后果本文以一个具体的采矿作业为例,介绍了采矿绩效指标建模的结果。对金属矿床的采矿绩效指标以及采矿公司的绩效标准进行了系统分析。结合传统采矿系统的原则是基于最小化技术上无条件的岩石体积而制定的。提出了一种优化组合技术选项的方法。已建立了开采矿石质量与地球动力学过程之间的相关性机制。提出了最佳控制的概念以及固体离散介质模型,该模型允许使用技术技术控制应力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling of mining performance indicators for the Sadon ore deposits
Relevance. The efficiency of mining operations depends on the level of ore losses and dilution and it can be increased by improving the mining and ore processing methods, therefore research in this area is both timely and relevant. The purpose of this study is to improve the performance indicators of mining of minerals by modelling the technological parameters. The subject of the research are hard rock ore deposits developed by mining companies in various sectors of the national economy. Methods. Systematization and system analysis of the mining performance indicators, economic and mathematical modeling with technology assessment as well as engineering predictions of the prospects to solve the challenge based on the combination of traditional mining systems. Results. The paper presents the results of modelling mining performance indicators using a specific mining operation as an example. A system analysis of mining performance indicators has been performed for metal deposits as well as for performance criteria of the mining companies. Principles for combining traditional mining systems are formulated based on minimization of technologically unconditioned volumes of rocks. A methodology to optimize the options for combining technologies is presented. A correlation mechanism has been established between the quality of mined ores and geodynamic processes. A concept of optimum control is proposed as well as a solid discrete medium model which allows to control the stresses using technological techniques.
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来源期刊
Gornaya Promyshlennost
Gornaya Promyshlennost Engineering-Industrial and Manufacturing Engineering
CiteScore
1.10
自引率
0.00%
发文量
100
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