智能化煤矿数据治理概念模型及技术架构研究

Research on the conceptual model and technical architecture of data governance for intelligent coal mine

  • 摘要: 智能化煤矿有限的网络、存储、计算资源同技术协同、数据协同、业务协同、组织协同和战略协同的现实需求之间的矛盾凸显,已使数据治理成为制约煤矿智能化建设的关键瓶颈,但智能化煤矿数据治理尚未形成完善的概念模型和技术架构。针对该问题,首先界定智能化煤矿数据治理内涵和关键活动,阐明数据治理对智能化煤矿建设的重要意义,基于五要素集成论构建智能化煤矿数据治理概念模型;然后在概念模型的指导下形成智能化煤矿数据治理技术架构基本思想并对技术架构进行具体设计;最后提出智能化煤矿数据治理实施策略,以期为智能化煤矿数据治理提供分析框架和研究逻辑,从顶层设计角度为智能化煤矿数据治理的技术实现指明思想路线和实施策略。

     

    Abstract: There have been prominent contradictions between the limited network, storage, and computing resources of intelligent coal mines and the practical needs of technical collaboration, data collaboration, business collaboration, organizational collaboration and strategic collaboration, which makes data governance a key bottleneck in the construction of intelligent coal mines.However, there is not yet a complete conceptual model and technical architecture of data governance for intelligent coal mine.In response to this problem, this paper firstly defines data governance for intelligent coal mine and its key activities, clarifies the significance of data governance to the construction of intelligent coal mines, and builds a conceptual model of data governance for intelligent coal mine based on the five-element integration theory.Secondly, by drawing on the conceptual model, this study proposed the basic idea of data governance technology framework for intelligent coal mine, designed the data governance technology framework for intelligent coal mine and discussed the implementation strategy of data governance for intelligent coal mine.This may provide analytic framework and research method for data governance for intelligent coal mine, while shed tight on the theory and applicatiou of the data governance for intelligent coal mine.

     

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