• 论文
主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
郭家湾煤矿时空GIS智能综合管控平台建设分析
  • Title

    Analysis on the Construction of Space-time GIS Intelligent Comprehensive Management and Control Platform in Guojiawan Coal Mine

  • 作者

    高启业

  • Author

    Gao Qiye

  • 单位

    国能榆林能源郭家湾煤矿

  • Organization
    National Energy Yulin Energy Guojiawan Coal Mine
  • 摘要
    为提升矿井生产效率和管控水平,该文针对郭家湾煤矿目前欲提高矿井集中管控能力的智能化建设需求,借鉴前沿技术在矿井的应用,提出了基于时空GIS智能综合管控平台的总体架构。通过设备感知层、数据感知层、数据服务层和应用决策层的有机衔接,实现了对煤矿生产、安全和经营数据的全面感知和智能管理。设计了数据采集与融合、时空物联和移动终端建设的关键技术架构,并引入了机器学习的数据管理平台。构建了“全矿井生产可视化”“多系统数据统一化”“决策科学、高效化”的矿井智能感知平台,实现了矿山的全面感知、实时分析和智能决策,确保了郭家湾煤矿高效、安全、绿色和智能开采。
  • Abstract
    In order to improve the production efficiency and management and control level of the mine, in view of the intelligent construction demand of Guojiawan Coal Mine of attempting to enhance the centralized management and control capacity of the mine at present, drawing on the application of cutting-edge technology in mines, This article proposes the overall architecture based on space-time GIS intelligent comprehensive management and control platform. Through the organic connection of device perception layer, data perception layer, data service layer, and application decision-making layer, comprehensive perception and intelligent management of coal mine production, safety, and operation data are achieved. Key technical architectures of data collection and fusion, space-time internet of things, and mobile terminal construction are designed, and a data management platform for machine learning is introduced. A "full mine production visualization", "multi system data unification", "scientific and efficient decision-making" mine intelligent perception platform is constructed, achieving comprehensive perception, real-time analysis, and intelligent decision-making of the mine, ensuring efficient, safe, green, and intelligent mining of Guojiawan Coal Mine.
  • 关键词

    煤矿智能化时空GIS综合管控平台数据融合时空物联

  • KeyWords

    coal mine intellectualization;space-time GIS;comprehensive management and control platform;data fusion;space-time internet of things

  • DOI
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主办单位:煤炭科学研究总院有限公司 中国煤炭学会学术期刊工作委员会

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