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http://dx.doi.org/10.7474/TUS.2019.29.1.001

Case Analysis for Introduction of Machine Learning Technology to the Mining Industry  

Lee, Chaeyoung (Dept. of Energy Resources Engineering, Pukyong National University)
Kim, Sung-Min (Division of Graduate Education for Sustainability of Foundation Energy, Seoul National University)
Choi, Yosoon (Dept. of Energy Resources Engineering, Pukyong National University)
Publication Information
Tunnel and Underground Space / v.29, no.1, 2019 , pp. 1-11 More about this Journal
Abstract
This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.
Keywords
Machine learning; Mineral exploration; Mine development; Productivity; Safety;
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