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dc.contributor.authorOsen, Ottar
dc.contributor.authorWang, Hao
dc.contributor.authorHjelmervik, Karina Bakkeløkken
dc.contributor.authorSchøyen, Halvor
dc.date.accessioned2018-09-26T12:02:55Z
dc.date.available2018-09-26T12:02:55Z
dc.date.created2017-10-27T19:33:52Z
dc.date.issued2017
dc.identifier.citationIEEE OCEANS. Aberdeen. 2017.nb_NO
dc.identifier.isbn978-1-5090-5278-3
dc.identifier.urihttp://hdl.handle.net/11250/2564712
dc.descriptionPersonal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
dc.description.abstractThe 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.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartofIEEE OCEANS 2017 - Aberdeen
dc.titleOrganizing data from industrial internet of things for maritime operationsnb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holder© 2017 IEEEnb_NO
dc.source.volume2017nb_NO
dc.source.journalIEEE OCEANSnb_NO
dc.identifier.doi10.1109/OCEANSE.2017.8084749
dc.identifier.cristin1508472
cristin.unitcode222,58,5,0
cristin.unitnameInstitutt for maritime operasjoner
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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