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Research on the big data construction of equipment support

机译:装备保障大数据建设研究

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This paper analyses the main work of equipment support from three aspects of the equipment life-cycle, support object and support work, analyses the main data and data source from the equipment life-cycle systematically, discusses the four main features of high capacity, diversification, rapidity and low density of the data in the field of equipment support, analyses the existing problems in the construction of equipment support data, such as the lack of standards, the dispersion of the management, the single type and the low level of application, and gives some suggestions on big data aspects for equipment support data construction from the top-level planning, data acquisition, processing, analysis, application of standard system services.
机译:本文从设备生命周期,支持对象和支持工作三个方面分析了设备支持的主要工作,系统地分析了设备生命周期的主要数据和数据来源,探讨了高容量,多样化的四个主要特点。 ,设备支持领域中数据的快速性和低密度,分析了设备支持数据构建中存在的问题,例如缺乏标准,管理分散,单一类型和应用水平低;并从高层计划,数据采集,处理,分析,标准系统服务的应用等方面就设备支持数据构建的大数据方面提出了一些建议。

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