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ZHANG Xiaoxia, LI Shoubin, SU Shanghai, LI Hao. Design and implementation of mine big data platform based on industrial internet architecture[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(6): 277-285.
Citation: ZHANG Xiaoxia, LI Shoubin, SU Shanghai, LI Hao. Design and implementation of mine big data platform based on industrial internet architecture[J]. COAL SCIENCE AND TECHNOLOGY, 2022, 50(6): 277-285.

Design and implementation of mine big data platform based on industrial internet architecture

  • Industrial Internet is a new application model of the deep integration of industrial system and the new generation ICT. It is an essential part of new infrastructure and the basic upholder for convergence of informatization with industrialization. To promote intelligent mine,through building the industrial internet platform,we explore the usage of IoT,Bigdata and AI in coal enterprise production data collection,storage,processing and analyzation,eliminate information and system silos,realize data integration and sharing,and provide analyzation and decision support for coal mine safety and productivity. Based on the Industrial Internet Platform Framework released by the Alliance of Industrial Internet,combined with the industry application practice,aiming at the special application scenario of the coal industry,we explore and propose the industrial Internet platform solution suitable for the mine. By analyzing and studying the business data characteristics of coal industry,a technical architecture of Client-Edge-Cloud hierarchical industrial Internet platform suitable for mine is designed to meet the management and control requirements of mine intelligent production process. It focuses on the in-depth study of the technical system of big data platform,which is the core support of the industrialInternet platform,and designs the data oriented overall functional architecture and technical architecture of the big data platform. According to the key technology components selection of big data platform,the experimental environment is built,and the actual data collected in a coal mine comprehensive mining face is used for experimental verification,which proves that the overall architecture and technical route are feasible,and data storage,computing and access performance of bigdata platform is as expected.
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