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飛行試驗工程大數據治理思考
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Considering of Flight Test Engineering Big Data Governance
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    摘要:

    飛行試驗工程大數據是典型的工業(yè)大數據,是試飛工程規劃、設計、執行、評估以及開(kāi)展航空科學(xué)研究的最重要的基礎。文章分析了試飛工程大數據的質(zhì)量特性及其影響因素,學(xué)習借鑒國際標準化《數據治理白皮書(shū)》提出的數據治理思想體系與模型,針對試飛工程大數據管理與應用特點(diǎn),結合多年來(lái)在試飛工程中的大數據管理應用的實(shí)踐經(jīng)驗,提出了以飛行試驗大數據標準化體系為基礎,以涵蓋試飛工程全過(guò)程和全業(yè)務(wù)流程的試飛數據質(zhì)量監控系統和一體化的試飛大數據管理與應用系統為并行相互支持的大數據治理技術(shù)平臺,將試飛業(yè)務(wù)流程、業(yè)務(wù)策略、業(yè)務(wù)標準、業(yè)務(wù)邏輯以及組織管理有機有效地融入到數據管理與治理體系中,形成能夠不斷自我完善、自我更新、自我規范、開(kāi)放共享的試飛工程大數據治理體系,對飛行試驗工程以及航空科學(xué)研究步入“大數據科研范式”奠定數據基礎。

    Abstract:

    Flight test engineering big data are one of the typical industry big data, and are the most important data resources for the flight test engineering programming, designing, implement, assessment and aerial science research. It analyses the quality properties and their influencing factors, on the basis of using for reference of the data governance models and methodology system of the ISO 《White Book on Data governance》, pointing to the flight test engineering data management and application characters, relying on years experience about flight test data management and application in the flight test, puts forward one of the most effective data governance systems about flight test engineering big data: on the basis of the flight test big data standards, setting up a flight test big data governance platform which combines with the flight test data quality monitoring system and flight test data management and application integrating system, dissolving effectively and organically with flight test operation processes, operation strategy principles, operation logicalness, organization management and so on in the systems during the whole flight test program process period. The flight test engineering big data governance systems are more appropriate to flight test engineering and aerial scientific development, as the systems being improved on, updated continually, standardized roundly and shared widely without intermission, and are the most important basis of the aerial research paradigm of Big Data – Data-intensive scientific discovery.

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黨懷義.飛行試驗工程大數據治理思考計算機測量與控制[J].,2019,27(7):266-269.

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歷史
  • 收稿日期:2019-01-05
  • 最后修改日期:2019-01-05
  • 錄用日期:2019-01-28
  • 在線(xiàn)發(fā)布日期: 2019-07-30
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