民机运行大数据分析平台整体架构研究
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TP183

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Research on Big Data Analysis Platform Architecture of Civil Aircraft Operation
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    摘要:

    针对日益增长的民用航空巨量数据,借助大数据存储和分析技术,构建民用航空运行大数据分析平台,可更有效支撑快速响应、航材管理、健康管理等各项民机运行业务。结合目前国内外民用航空领域大数据技术的应用现状,梳理民机运行的业务模式及数据类别,设计并构建民用航空大数据分析平台的整体架构。根据目前民用航空运行业务需求,对民用航空大数据平台的硬件平台的管理节点、数据节点的计算能力等功能性能进行设计,并对民用航空大数据平台的轻量级计算、离线数据计算、实时在线数据处理分析等计算需求进行研究,针对不同的计算方式,提供具体解决途径。最后对民机运行大数据分析平台的业务应用集成及接口技术进行研究。分析表明研究成果有助于提高我国民机运行效率,为民用飞机运行大数据平台提供支撑。

    Abstract:

    Aiming at the requirement of the increasing civil aviation huge amounts of data, with the help of the large data storage and analysis technology, the big data analysis platform for civil aviation operation can be built, which can be more effective to support rapid response, supply chain management, health management, and other business operation. Combining the present situation of the application of the big data in the field of civil aviation technology at domestic and overseas, carding business model of commercial operation and the data category, designed and built the overall architecture of the civil aviation big data analysis platform. Considering the demand of civil aviation, we designed the performance of the management node and name node of the hardware platform for the civil aviation big data platform. According to different computing ways, lightweight computing, offline data computing and real-time online computing, we provided the concrete solution. Finally, the business application integration and interface technology of big data analysis platform of civil aircraft are also studied. The research results can improve the operation efficiency of civil aircraft and provide support for the construction of civilian aircraft big data platform.

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陈金,党帅,吴波.民机运行大数据分析平台整体架构研究计算机测量与控制[J].,2018,26(1).

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  • 收稿日期:2017-10-09
  • 最后修改日期:2017-11-13
  • 录用日期:2017-11-14
  • 在线发布日期: 2018-02-02
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