适应智能采矿的人才培养模式研究

Research on talent training mode for intelligent mining

  • 摘要: 基于物联网、云计算、大数据、人工智能等高科技在采矿业中的大量应用及智能采矿的快速发展的需要,本文通过调查分析国内外智能采矿技术的发展现状、采矿工程专业的人才培养模式以及存在的问题,分别从政府的政策支持、学校教学体系和企业人才需求三个角度,对适应智能采矿的人才培养模式提出建议,培养创新型人才,实现智能采矿的科学应用和发展。

     

    Abstract: Based on the large-scale application of high technology such as the Internet of Things, cloud computing, big data, artificial intelligence in the mining industry and the rapid development of intelligent mining.This paper analyzes the current development situation of intelligent mining and the talent training models of mining engineering major at home and abroad, as well as the existing problems of China's talent training mode. From the three perspectives of government policy support, school teaching system and enterprise talent demand, it puts forward some suggestions on the establishment of a talent training model that adapts to intelligent mining, so as to cultivate innovative talents and realize the scientific application and development of intelligent mining.

     

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