关键词: 采矿系统工程, 人工智能, 智能矿山, 机器学习, 多目标算法, 发展趋势

Abstract: Mining systems engineering is an interdisciplinary direction of mining engineering and systems engineering.With the rise of the fourth industrial revolution centered on artificial intelligence technology,mining system engineering has ushered in unprecedented development opportunities and challenges.Firstly,the basic theories and study methods involved in mining system engineering are sorted.On this basis,the development history of artificial intelligence technology in mining system engineering is reviewed.Through the analysis of the published study results,the characteristics and applied objects of mining system engineering under the background of artificial intelligence and big data are put forward.Finally,the development trend of future mining system engineering in interdisciplinary application,large system optimization,and intelligent mining are pointed out.The study results show that artificial intelligence methods represented by evolutionary computing and machine learning play an increasingly significant role in four important directions,including new generation of new energy intelligent unmanned mining equipment;new technology，new process and new mode of unmanned mining;intelligent mining production processes;multisystem big data platform.These methods are the core technologies that will lead the construction of smart mines in the future.The combination of artificial intelligence technology and traditional mining technology will surely push the discipline of mining systems engineering into a new historical stage.

Key words: mining system engineering,artificial intelligence,intelligent mine,machine learning,multi-objective algorithm,development trend