Organizing Data from Industrial Internet of Things for Maritime Operations

被引：0
|
作者：
Osen, Ottar L. [1 ]
Wang, Hao [1 ]
Hjelmervik, Karina B. [2 ]
Schoyen, Halvor [2 ]
机构：
[1] Norwegian Univ Sci & Technol NTNU, Big Data Lab, Dept ICT & Nat Sci, N-6025 Alesund, Norway
[2] Univ Coll Southeast Norway, Dept Maritime Operat, Vestfold, Norway
来源：
OCEANS 2017 - ABERDEEN | 2017年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
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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页数：5
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