Application of artificial intelligence and the future of big data analytics in the mining industry

Abstract

The article identifies factors that indicate the relevance of creating new tools for efficient and safe mining of solid minerals based on advances in predictive analytics methods. These methods take into account the trends in big data analysis in subsoil management. An example is given on implementation of a new class of information systems, i.e. the "digital advisers", which use information from dispatching systems, MES, ERP of the mining operations as the input data to create such systems. Cases of practical implementation of the digital advisers are analyzed. A reference economic assessment of implementing the digital adviser for mine dump truck drivers is provided. Trends in development of such analytical systems are identified based on the Big Data analysis.