Intelligent Big Data Processing for Wind Farm Monitoring and Analysis Based on Cloud-Technologies and Digital Twins A quantitative approach

被引：0

作者：

Pargmann, Hergen ^{[1
,2
]}

Euhausen, Doerthe ^{[3
]}

Faber, Robin ^{[3
]}

机构：

[1] Jade Univ Appl Sci Wilhelmshaven, Friedrich Paffrath Str 101, D-26389 Wilhelmshaven, Germany

[2] ZEIT GmbH & Co KG, D-26127 Oldenburg, Germany

[3] Carl von Ossietzky Univ Oldenburg, Ammerlander Heerstr 114-118, D-26129 Oldenburg, Germany

来源：

2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA) | 2018年

关键词：

big data processing; augmented reality; digital twin; cloud computing; internet of things; real-time processing; micro services; wind farms; smart control station;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Monitoring and analysis processes of big data are normally bound either to a technical or business context and even further separated into continuous or discrete resolution. In our approach a sound semantical integration of these different information types is presented and applied to a concrete use-case, the global monitoring and analysis of wind farms. Furthermore, a new user-interface style based on augmented reality is presented allowing - even to a novice - an intuitive and quick understanding of complex analysis results.

引用

页码：233 / 237

页数：5

共 47 条

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