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智能矿山大数据关键技术与发展研究

Key technology and development research on big data of intelligent mine

  • 摘要: 针对我国煤矿开采过程中数据生产量大但无法将这些数据进行有效的利用,无法为煤炭开采提供可靠的数据信息支撑等问题,研究分析了大数据技术在煤炭生产工业中的应用。介绍了智能矿山大数据的基本概念、特征及价值体现,概述了国内外智能矿山大数据研究与应用现状,分析了智能矿山大数据技术发展的驱动因素和存在的阻碍;通过分析智能矿山中的数据来源、数据集成以及数据分析应用,总结了智能矿山大数据的关键技术,如数据获取技术、数据集成与融合技术、大数据分析与挖掘、大数据的数据解析应用技术等;通过分析神东智能矿山的大数据平台架构、大数据平台的物理架构以及总体架构建设中的应用案例,提出智能矿山大数据应从矿山安全管理、生产执行、经营管理等领域进行应用研究;最后给出了我国在智能矿山建设过程中的建议。

     

    Abstract: In the process of coal mining in our country,we can’t really use the data to make a good use of the data,and also can not to provide reliable data support for coal mining,and research and analysis of the application of big data technology in the coal production industry.This paper first introduces the basic concept and characteristics of intelligent mine and its value expression,summarizes the research and application status of intelligent mine big data at home and abroad,and analyzes the driving factors and existing obstacles of the development of smart mine big data technology.By analyzing the data source,data integration and data analysis application in the intelligent mine,the key technologies of big data in the intelligent mine are summarized,such as data acquisition technology,data integration and fusion technology,big data analysis and mining,analysis and application technology of big data.By analyzing the big data platform architecture,the physical architecture of big data platform and the application cases in the overall architecture construction of Shendong Intelligent Mine,the paper provides the large data of intelligent mines should be applied and researched in the fields of mine safety management,production execution,management and so on.At last,some suggestions on the construction of intelligent mine in China are given.

     

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