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Mining Hidden Assets: Making the Most of Big Data for MRO

机译:挖掘隐藏资产:充分利用MRO的大数据

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摘要

Airplanes generate large amounts of data as they fly, but only a small part of that data is used in the maintenance process. And the historical maintenance information for legacy aircraft, some of it decades old, is also voluminous, varied and difficult to preserve, organize and search. This huge and ever-growing mass of information, aka "big data," challenges the wherewithal of traditional computer systems. Yet these vast collections of information hold out tantalizing possibilities for those who can exploit them. Aviation, along with other industries, is trying to mine these lodes and extract more value from them, particularly in the area of predictive analytics.
机译:飞机在飞行过程中会生成大量数据,但是只有一小部分数据用于维护过程。而且,其中有数十年历史的旧飞机的历史维护信息也非常庞大,种类繁多,并且难以保存,组织和搜索。庞大且不断增长的信息量(又称“大数据”)对传统计算机系统的经济能力提出了挑战。然而,这些庞大的信息收集为那些可以利用它们的人提供了诱人的可能性。航空业与其他行业一起,正在尝试挖掘这些矿藏并从中提取更多价值,特别是在预测分析领域。

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