Research on talent training mode for intelligent mining
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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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Key words:
- intelligent mining /
- mining engineering /
- talent training mode /
- innovative talents
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表 1 国内外采矿工程专业人才培养现状对比
Table 1. Comparison of the current situation of personnel training in mining engineering at home and abroad
国外 国内 培养目标 具有扎实的专业基础知识和较强的实际操作能力、交际能力,涉及管理学、经济学相关知识,具有创造力和社会责任感的全能型人才 具有扎实的矿山地质、矿山测量、矿山机械、采矿学等工科理论基础,具备矿山规划、矿床开采和设计能力的创新型人才[12] 开设课程 专业课程(矿山地质和矿山开采相关理论课和实践课),人文社科类课程(经济学、管理学、政治学、社会学、伦理学、人道主义学等)[13] 以与矿山开采、矿山地质相关基础理论的课程为主,扎实学生的理论知识 培养方式 以企业需求为导向,注重学生的实际操作能力和实践经验,除了课堂上教授专业课程和选修课程外,有很大一部分时间让学生进行项目实践和课题研究[14] 以必修课程为主,辅以选修课,开设课程种类较多,但教学深度不够,大部分时间通过课堂教学,小部分时间进行认识实习,缺乏实战项目的开展 考核方式 作品展示+课程设计+实习学分+毕业设计/论文 课程作业+课程设计+毕业设计/论文 毕业流向 继续深造、采矿企业、设备研发与销售、经济管理相关工作 继续深造、采矿企业、设计院、政府管理部门[15] -
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