大数据背景下矿井水害案例库系统建设

刘浩, 文广超, 谢洪波, 王林林, 师艳坤, 江泽宇

刘浩,文广超,谢洪波,等.大数据背景下矿井水害案例库系统建设[J].工矿自动化,2017,43(1):69-73.. DOI: 10.13272/j.issn.1671-251x.2017.01.017
引用本文: 刘浩,文广超,谢洪波,等.大数据背景下矿井水害案例库系统建设[J].工矿自动化,2017,43(1):69-73.. DOI: 10.13272/j.issn.1671-251x.2017.01.017
LIU Hao, WEN Guangchao, XIE Hongbo, WANG Linlin, SHI Yankun, JIANG Zeyu. Construction of case base system of mine water disaster under background of big data[J]. Journal of Mine Automation, 2017, 43(1): 69-73. DOI: 10.13272/j.issn.1671-251x.2017.01.017
Citation: LIU Hao, WEN Guangchao, XIE Hongbo, WANG Linlin, SHI Yankun, JIANG Zeyu. Construction of case base system of mine water disaster under background of big data[J]. Journal of Mine Automation, 2017, 43(1): 69-73. DOI: 10.13272/j.issn.1671-251x.2017.01.017

大数据背景下矿井水害案例库系统建设

基金项目: 

全国统计科学研究项目(2014LY004)

河南省高等学校重点科研项目(15A170007)

详细信息
  • 中图分类号: TD745.2

Construction of case base system of mine water disaster under background of big data

  • 摘要: 为提高煤矿水害防治的信息化水平,实现煤矿水害防治工作由定性到定量、由经验到科学转变,提出了大数据背景下矿井水害案例库系统建设的目的和原则,设计了煤矿水害案例库系统的结构和功能,分析了物联网、云计算、大数据等系统关键技术。矿井水害案例库系统集事故管理、水害防治、安全教育、技术培训于一体。
    Abstract: In order to improve informationization level of coal mine water disaster prevention, and realize changes of mine water disaster prevention work from qualitative to quantitative and from experience to science, purpose and principles of construction of case base system of coal mine water disaster prevention and control under background of big data were proposed, and structure and function modules were designed. Key technologies of IoT, cloud computing, big data were analyzed. The case base system of coal mine water disaster integrates accident management, water disaster prevention, safety education and technical training.
  • 期刊类型引用(3)

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    2. 王欢. 矿用气体传感器检定系统开发的研究. 自动化应用. 2022(02): 88-91 . 百度学术
    3. 王静. 矿用气体传感器自动标校系统研究. 新型工业化. 2022(04): 152-156 . 百度学术

    其他类型引用(1)

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  • 被引次数: 4
出版历程
  • 刊出日期:  2017-01-09

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