煤炭工程 ›› 2020, Vol. 52 ›› Issue (8): 154-158.doi: 10.11799/ce202008032

• 研究探讨 • 上一篇    下一篇

智慧矿山安全管控大数据平台建设探讨

王鹏   

  1. 1. 应急管理部信息研究院
    2. 辽宁工程技术大学
  • 收稿日期:2020-07-06 修回日期:2020-07-21 出版日期:2020-08-14 发布日期:2020-11-23
  • 通讯作者: 宿国瑞 E-mail:1125056631@qq.com

Construction and Thinking of Big Data Platform for Smart Mine Safety Management and Control

  • Received:2020-07-06 Revised:2020-07-21 Online:2020-08-14 Published:2020-11-23

摘要: 结合目前的煤矿信息化建设现状,针对智慧矿山建设过程中存在的数据孤岛以及信息难以有效融合的问题,提出了一种基于大数据技术的智慧矿山安全管控大数据平台建设方案和架构体系,提出了包含感知层、平台层和应用层的三层平台架构,描述了各层级的应用场景|探讨了智慧矿山建设过程中所涉及的数据采集、存储与治理技术、风险指标体系构建技术、可视化分析展示技术、综合预测预警关键技术以及视频智能分析技术,为智慧矿山的建设提供了新的参考。

关键词: 智慧矿山, 安全管控, 大数据, 风险预警, 安全管理

Abstract: In recent years, the domestic coal mine safety situation has improved, but accidents still occur frequently. The importance of comprehensive construction of safety management and control systems is becoming increasingly prominent. The gradual improvement of the informatization and automation level of coal mine enterprises provides a diversified mass data base for the realization of coal mine safety management and control systems. The article proposes a big data platform construction plan for smart mine safety management and control, which is based on big data technology, the current coal mine industry security situation and information systems status. The platform can solve comprehensive data and information collection issues, adapt to industry characteristics, and build the risk warning and research function modules by using big data fusion and deep mining. The platform forms five key technologies. With the improvement of coal mine informatization and the deep application of data mining technology, the big data platform will certainly provide wider and more effective decision support for production managers.

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