智能煤矿数据治理框架与发展路径

Framework and development path of data governance in intelligent coal mine

  • 摘要: 分析了煤矿自动化、数字化、信息化建设过程中数据治理存在的一些问题,包括顶层设计弱化、数据平台支撑能力不足、数据融合分析能力不够、泛在感知网络与感知设备缺乏。针对上述问题,提出了智能煤矿数据治理框架和发展路径。智能煤矿数据治理的总体框架包括数据源层、数据中台服务层、数据应用层和基础设施层。智能煤矿数据治理的发展路径包括完善煤矿全局全息信息数据采集、构建适宜煤矿的数据中台、研发融合智能决策的数据应用、夯实煤矿数据治理的基础设施保障。

     

    Abstract: Some problems existed in data governance in the process of coal mine automation, digitalization and information construction are analyzed, which include: top-level design is weak, supportive capability of data platform is failure, data fusion and analysis capability is insufficient, ubiquitous perception network and perception equipments are lack, etc. For the above problems, framework and development path of data governance in intelligent coal mine are proposed. The overall framework of data governance in intelligene coal mine includes data source layer, data middle platform service layer, data application layer and infrastructure layer. The development path of data governance in intelligene coal mine includes improving overall holographic information data collection of coal mine, building data middle platform suitable for coal mine, developing data application integrating intelligent decision-making, and consolidating infrastructure guarantee of coal mine data governance.

     

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