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智慧矿山基本内涵、核心问题与关键技术

罗香玉,  李嘉楠,  郎丁

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文章导航 > 工矿自动化  > 2019 >  45(9): 61-64
罗香玉，李嘉楠，郎丁.智慧矿山基本内涵、核心问题与关键技术［J］.工矿自动化，2019,45（9）：61-64..  doi: 10.13272/j.issn.1671-251x.2019020046
引用本文: 罗香玉，李嘉楠，郎丁.智慧矿山基本内涵、核心问题与关键技术［J］.工矿自动化，2019,45（9）：61-64..  doi: 10.13272/j.issn.1671-251x.2019020046
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LUO Xiangyu, LI Jianan, LANG Ding. Basic connotation, core problems and key technologies of wisdom mine[J]. Industry and Mine Automation, 2019, 45(9): 61-64. doi: 10.13272/j.issn.1671-251x.2019020046
Citation: LUO Xiangyu, LI Jianan, LANG Ding. Basic connotation, core problems and key technologies of wisdom mine[J]. Industry and Mine Automation, 2019, 45(9): 61-64. doi: 10.13272/j.issn.1671-251x.2019020046
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智慧矿山基本内涵、核心问题与关键技术

doi: 10.13272/j.issn.1671-251x.2019020046
  • 1.

    西安科技大学 计算机科学与技术学院， 陕西 西安710054

  • 2.

    西安科技大学 能源学院， 陕西 西安710054

基金项目: 

国家自然科学基金项目（51634007）

详细信息

  • 中图分类号: TD67

Basic connotation, core problems and key technologies of wisdom mine

  • 1.

    College of Computing Science and Technology, Xi''an University of Science and Technology, Xi''an 710054, China

  • 2.

    College of Energy Engineering, Xi''an University of Science and Technology, Xi''an 710054, China

    摘要
  • 摘要: 归纳了智慧矿山基本内涵，即具备对矿山的主动感知能力、自动分析能力及快速处理能力，数字矿山是智慧矿山的基础和依托，无人矿山是智慧矿山的高级阶段和终极目标；指出了智慧矿山待解决的三大核心问题，即矿山状态深度感知、矿山数据深度挖掘及矿山安全生产与管理决策支持；分析了智慧矿山所依托的三大关键技术，即煤矿物联网技术、煤矿大数据技术及煤矿智能决策支持技术。

     

    Abstract: Basic connotations of wisdom mine were summarized, which were having active perception ability, automatic analysis ability and quick processing ability, digital mine was the foundation and support of wisdom mine, while unmanned mine was the advanced stage and ultimate goal of wisdom mine. Three core problems to be solved in wisdom mine were pointed out, which were deep perception of mine state, deep mining of mine data and decision support for mine safety production and management. Three key technologies that wisdom mine relied on were analyzed, namely coal mine Internet of things technology, coal mine big data technology and coal mine intelligent decision support technology.

     

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出版历程
  • 刊出日期:  2019-09-20

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