Organizing data from industrial internet of things for maritime operations
Ottar L. Osen, Hao Henry Wang, Karina Hjelmervik, Halvor Schøyen · OCEANS 2017 - Aberdeen · 2017
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.