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Big data management in the mining industry
International Journal of Minerals, Metallurgy and Materials ( IF 5.6 ) Pub Date : 2020-02-06 , DOI: 10.1007/s12613-019-1937-z
Chong-chong Qi

Abstract

The mining industry faces a number of challenges that promote the adoption of new technologies. Big data, which is driven by the accelerating progress of information and communication technology, is one of the promising technologies that can reshape the entire mining landscape. Despite numerous attempts to apply big data in the mining industry, fundamental problems of big data, especially big data management (BDM), in the mining industry persist. This paper aims to fill the gap by presenting the basics of BDM. This work provides a brief introduction to big data and BDM, and it discusses the challenges encountered by the mining industry to indicate the necessity of implementing big data. It also summarizes data sources in the mining industry and presents the potential benefits of big data to the mining industry. This work also envisions a future in which a global database project is established and big data is used together with other technologies (i.e., automation), supported by government policies and following international standards. This paper also outlines the precautions for the utilization of BDM in the mining industry.



中文翻译:

采矿业的大数据管理

摘要

采矿业面临着许多推动采用新技术的挑战。大数据是由信息和通信技术的加速发展所驱动的,是可以重塑整个采矿业前景的有前途的技术之一。尽管尝试了将大数据应用于采矿业的各种尝试,但是采矿业中大数据(尤其是大数据管理(BDM))的基本问题仍然存在。本文旨在通过介绍BDM的基础知识来填补这一空白。这项工作简要介绍了大数据和BDM,并讨论了采矿业所面临的挑战,以表明实施大数据的必要性。它还总结了采矿业中的数据源,并提出了大数据对采矿业的潜在好处。这项工作还预见了建立全球数据库项目并将大数据与其他技术(即自动化)一起使用的未来,并得到了政府政策的支持并遵循国际标准。本文还概述了在采矿业中使用BDM的注意事项。

更新日期:2020-02-06
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