| 李大为，王军，王晨，王嘉瞳.大数据技术在航空发动机研发领域的应用探索[J].航空发动机,2021,47(2):33-37 |
| 大数据技术在航空发动机研发领域的应用探索 |
| Application Exploration of Big Data Technology in Aeroengine Research and Development |
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| DOI： |
| 中文关键词: 大数据技术 航空发动机 元数据 性能改善 数据管理 |
| 英文关键词:big data technology aeroengine metadata performance improvement data management |
| 基金项目:航空动力基础研究项目资助 |
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| 摘要点击次数: 1482 |
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| 中文摘要: |
| 针对航空发动机研发领域内不同专业之间数据彼此孤立，相同专业的数据名称、符号、量纲不统一，无法应用大数据技
术进行深层次分析的问题，通过对发动机数据进行系统有效的管理，建立了航空发动机大数据平台方案，从而挖掘数据间隐藏的
规律，解决发动机复杂问题。通过系统梳理全寿命周期内发动机不同阶段、不同专业数据的现状及管理的不足，开展了航空发动
机大数据平台建立的需求分析，并利用工程经验开展了数据种类分析，首次定义了发动机元数据的概念及组成，创新性地提出了
一种多维度、多专业数据关联的命名方法，为后续科研院所及发动机承制厂商建立航空发动机大数据平台提供了数据间关联的支
撑，摸索出大数据技术应用的途径，从航空发动机设计的专业角度提出了大数据平台实施方向，具有较好的工程应用价值。 |
| 英文摘要: |
| In view of the problem that the data of different specialties in aeroengine research and development were isolated from each
other，the data name，symbols and dimensions of the same specialty were not unified and the big data technology could not be used for deep
analysis，the big data platform of aeroengine was established by systematically and effectively managing the engine data to excavate the hid?
den rules between data and solve the complex problems of engine. The requirement analysis of big data platform for aeroengine was carried
out by systematically combing the current situation and insufficient management of different stages and different professional data in the
whole life cycle. Data type analysis was carried out by engineering experience. The concept and composition of engine metadata were de?
fined for the first time，and a multi-dimensional and multi-professional data association naming method was proposed，which provided the
support for the establishment of aeroengine big data platform by subsequent scientific research institutes and engine manufacturers. The ap?
plication of big data technology was found out，and the implementation direction of big data platform was put forward from the professional
view of aeroengine design，which had good engineering application value. |
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