Volume 48 Issue 5
May  2022
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TAN Zhanglu, WANG Meijun. Research on the concept connotation, development goal and key technologies of data governance for smart mine[J]. Journal of Mine Automation,2022,48(5):6-14.  doi: 10.13272/j.issn.1671-251x.2021120090
Citation: TAN Zhanglu, WANG Meijun. Research on the concept connotation, development goal and key technologies of data governance for smart mine[J]. Journal of Mine Automation,2022,48(5):6-14.  doi: 10.13272/j.issn.1671-251x.2021120090

Research on the concept connotation, development goal and key technologies of data governance for smart mine

doi: 10.13272/j.issn.1671-251x.2021120090
  • Received Date: 2021-12-27
  • Rev Recd Date: 2022-04-20
  • Available Online: 2022-03-05
  • Data is the core resource to promote the development of intelligent coal mine technology, innovation of application mode and improvement of market competitiveness. Data governance is the key bottleneck for the development of smart mine from primary stage to advanced stage. However, at present, there is no consensus on the concept connotation, development goal and key technologies of data governance for smart mine. In order to solve the above problems, this paper analyzes the important position of data governance in the construction of smart mines, and defines the concept and connotation of data governance for smart mine. Data governance for smart mine is guided by the governance concept of 'precipitation, reuse, sharing and collaboration'. All departments within the coal enterprise work together with industry and government regulatory departments to formulate data standards and management specifications. The data structure and data transmission link of coal enterprises are reshaped to break through the data barriers of smart mines and ensure data quality and data security. The smart mine technology linkage and business collaboration mechanism are built to realize the process of digital-driven decision-making and flexible production. This paper discusses the development goal of data governance for smart mine from three aspects, including overall goal, development strategy and phased tasks. It is pointed out that the key point of data governance for smart mine is to solve the problem of information isolated island in the process of smart mine construction. Therefore, the data sharing and business collaboration are realized so as to make smart mine become an organic whole to promote the value enhancement of coal enterprises. Smart mine data governance needs to properly handle the five aspects relationships, including local coordination and overall coordination, physical integration and logical integration, intelligent business system and data governance platform, group-level data governance platform and mine-level data governance platform, and local processing and cloud processing. It is proposed that smart mine data governance needs to break through six key technologies, including data standard, global data modeling, data aggregation, data development, data management and data center architecture.

     

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