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DU Yibo, ZHAO Guorui, GONG Shixin. Study on big data platform architecture of intelligent coal mine and key technologies of data processing[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(7).
Citation: DU Yibo, ZHAO Guorui, GONG Shixin. Study on big data platform architecture of intelligent coal mine and key technologies of data processing[J]. COAL SCIENCE AND TECHNOLOGY, 2020, 48(7).

Study on big data platform architecture of intelligent coal mine and key technologies of data processing

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  • Available Online: April 02, 2023
  • Published Date: July 24, 2020
  • With the deep advancement of coal mine intelligent technology, the data volume and types are exploding.Using big data technology for coal mine multi-source massive data integration analysis and data value mining to achieve dynamic diagnosis and auxiliary decision-making become the key of smart coal mine.Coal mine big data platform on one hand realized the function of access, integration and fusion for multi-source heterogeneous sensing data, on the other hand provided the data service for all kinds of coal mine intelligent APP, which opened the barrier between perceptual data and data intelligent application.The coal mine big data platform has become the foundation of smart coal mine.In view of the current lack of a mature construction system in the initial stage of coal mine big data platform construction, on the basis of analyzing the data sources, data characteristics and processing requirements of big data in coal mines,this paper put forward the technical framework of coal mine big data integration analysis platform which consists of data service system, data access and storage system, master data management system and data service system and other key systems of big data platform, so as to establish a big data platform basic framework to provide basic data and resource capability for big data fusion analysis and processing.Furthermore, according to the requirement of coal mine big data processing, this paper studied data acquisition and data standard management, put forward coal mine data coding standards based on bit numbers, which realized the coal mine data standardization management, and then the data integration and data management technology and the data visualization technology were studied to achieve data full life cycle management.The artificial intelligence-based processing algorithm such as data prediction based on cyclic neural network and situation perception and reasoning based on knowledge engineering were presented.The construction and engineering practice of big data platform were carried out with in Zhangjiamao Coal Mine of Shaanxi Coal Group and Balasu Coal Mine of Shaanxi Yanchang Petroleum, which provided technical reference for the construction of intelligent coal mine big data platform and the construction of coal mine data ecology.
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