Organizing data from industrial internet of things for maritime operations

Osen, Ottar; Wang, Hao; Hjelmervik, Karina Bakkeløkken; Schøyen, Halvor
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Accepted version
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http://hdl.handle.net/11250/2564712
Date
2017
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Original version
IEEE OCEANS. Aberdeen. 2017.   10.1109/OCEANSE.2017.8084749
Abstract
The enormous amount of data collected from different sources in an Industrial Internet of Things (IIoT) will have to be processed, analyzed, and visualized in a timely manner. In this paper, we present a strategy for organizing IIoT data to facilitate data processing, storage, analysis, and visualization based on a typical oil combat operation scenario. A web-based system has been implemented and deployed and real-time data streams from the oil detectors are presented interactively, satisfying different users' needs.
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Journal
IEEE OCEANS
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© 2017 IEEE