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

Autor: Tan Zhanglu, Wang Meijun
Jazyk: English<br />Chinese
Rok vydání: 2023
Předmět:
Zdroj: 矿业科学学报, Vol 8, Iss 2, Pp 242-255 (2023)
Druh dokumentu: article
ISSN: 2096-2193
DOI: 10.19606/j.cnki.jmst.2023.02.011
Popis: 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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