Big Data Analysis for Drilling and Blasting in a Mine in the Central Andes

Jhordan Mallqui Carhuamaca, Josue Jorim Tello Olivas, Byron Esterripa Aguilar, Carlos Enrique Alvarez Montalvan, Nabilt Jill Moggiano Aburto, Luis RUBEN CARRASCO CONTRERAS
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Abstract

Big Data applied to mining, contemplates the combination of algorithms located in advanced technological tools to process a quantity of data, Power BI allows the interaction of different data formats, for integration it has the support of Python Script. In this article, Big Data was applied to essential activities such as drilling and blasting, analyzing the parameters, standards, quantities, advances, the objective was to develop an integration system of a quantity of data for its analysis and interpretation, it will contribute to decision making in the mining operation. The development of Dashboard for interactive reportability based on indicators, will allow to visualize more efficiently and in a virtual way among the interested parties. Finally, the application of Big Data in the field of mining mainly in the treatment of its data will be the trend of the future which will allow to optimize the time and the functionality of the reports.
安第斯山脉中部某矿山钻孔爆破大数据分析
将大数据应用于挖掘,考虑结合位于先进技术工具中的算法来处理大量数据,Power BI允许不同数据格式的交互,对于集成,它有Python Script的支持。在本文中,将大数据应用于钻井和爆破等基本活动,分析参数,标准,数量,进展,目标是开发一个大量数据的集成系统,用于分析和解释,它将有助于采矿作业的决策。基于指标的交互式报告性仪表板的开发,将允许在有关各方之间以虚拟的方式更有效地可视化。最后,大数据在挖掘领域的应用将是未来的趋势,主要是对其数据的处理,这将使报告的时间和功能得到优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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