A Review of Digital Transformation in Mining

被引:47
|
作者
Young, Aaron [1 ]
Rogers, Pratt [1 ]
机构
[1] Univ Utah, Min Engn, William Browning Bldg,135 S 1460 E,Room 313, Salt Lake City, UT 84112 USA
关键词
Big data; Analytics; Operations technology; Data science; Innovation; ARTIFICIAL-INTELLIGENCE; CHALLENGES; MODELS; TECHNOLOGY; INTERNET; FUTURE; ISSUES; THINGS;
D O I
10.1007/s42461-019-00103-w
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
Digital transformation (DT) is the process by which entities adapt themselves to modern technology. As digital technology becomes more prevalent (automation, cameras, sensors, touchscreens, artificial intelligence, etc.), there will be increased pressure on companies to leverage it for additional gains. For many companies in the mining industry, this will involve overcoming a steep learning curve. Furthermore, as the long-term success of the mining industry is dependent on a labor force with new skills (data management, analytics, digital literacy, etc.), new curriculum will need to be appended to the mining engineering discipline. This paper considers the mining industry's need for DT. Then, it presents a three-part review of the foundational components of the DT process-ubiquitous data, connectivity, and decision making. Finally, it provides a discussion on the future of DT in mining as well as a research direction, which identifies the need of academia to provide support for mining companies in the form of both research and the education of digitally literate, dynamically capable mining engineers into the coming decades.
引用
收藏
页码:683 / 699
页数:17
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