Safe and intelligent mining: Some explorations and challenges in the era of big data

Abstract

To improve discipline systems and address shortcomings of traditional mining theory, this work defines the safe and intelligent mining using the advanced theory and technology in the era of big data. It gives some explorations and challenges for the mining discipline theory and the basic construction of the course content system. Firstly, according to the development process of mining science and the situation of intelligent mining around the world, it presents the concept of safe and intelligent mining, and analyzes the connotations and attributes of the discipline. Secondly, it gives the discipline basis and tasks of safe and intelligent mining from the construction of discipline, and structures the discipline content system. Finally, the work introduces the challenges and discusses the research tasks and application prospects of safe and intelligent mining in terms of mining technology, equipment, methods, data and information platforms, and environment in the future. The construction of safe and intelligent mining is a trend that is unavoidable as the field of information-based mining engineering develops in the age of big data. This trend injects vitality and vigor into the field’s development while enhancing the environmental protection of mines.

Keywords

mining environment / safe and intelligent mining / discipline construction / sensor system / content system

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