Volume 49 Issue 5
May  2023
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FANG Qian, ZHANG Xiaoxia, WANG Lin, et al. Research, practice and application of key technologies of intelligent coal mine big data governance[J]. Journal of Mine Automation,2023,49(5):37-45, 73.  doi: 10.13272/j.issn.1671-251x.18099
Citation: FANG Qian, ZHANG Xiaoxia, WANG Lin, et al. Research, practice and application of key technologies of intelligent coal mine big data governance[J]. Journal of Mine Automation,2023,49(5):37-45, 73.  doi: 10.13272/j.issn.1671-251x.18099

Research, practice and application of key technologies of intelligent coal mine big data governance

doi: 10.13272/j.issn.1671-251x.18099
  • Received Date: 2023-04-03
  • Rev Recd Date: 2023-05-18
  • Available Online: 2023-05-29
  • In the process of intelligent coal mine construction, there are problems such as the "data island" phenomenon, low data quality, lack of data governance system, and insufficient data empowerment. In order to solve the above problems, this paper analyzes the basic requirements of intelligent coal mine big data governance. This paper studies the key technologies of intelligent coal mines such as data acquisition and storage, data cleaning and standardization, data asset planning, data sharing and exchange. Combined with the field practice of data governance in Xiaobaodang Coal Mine, the overall technical architecture of intelligent coal mine big data governance based on the Industrial Internet system is proposed. The architecture functions correspond to the basic requirements of intelligent coal mine big data governance. It realizes the access, integration and fusion of multi-source heterogeneous perception data downward, provides data services for the development of various coal mine intelligent applications upward, and sediment various business indicators and model algorithms of coal mines in the middle, forming important data assets for coal mines. Unified access to to data form various coal mine systems is achieved through data access storage services based on different data access protocols. The necessary protocol conversion and data preprocessing are realized during the access process. The data processing is achieved through data cleaning and standardization services to improve data quality. The data is transformed into systematic data assets by adopting a hierarchical governance architecture. Finally, data assets are provided to other systems through standard interfaces through data sharing services, achieving the implementation of data value. The practical application of intelligent coal mine data governance achievements in different business scenarios is demonstrated from the perspective of coal mine single system application, mine-level application and company-level system application. After unified data governance, intelligent coal mine big data can achieve data fusion applications. It can break data islands, improve data quality, form coal mine unique data assets, and provide important value for coal mine production and operation.

     

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