Big data and industrial Internet of Things for the maritime industry in Northwestern Norway

• Published in: TENCON ... IEEE Region Ten Conference pp. 1 - 5
• Main Authors: Hao Wang, Osen, Ottar L., Guoyuan Li, Wei Li, Hong-Ning Dai, Wei Zeng
• Format: Conference Proceeding Journal Article
• Language: English
• Published: IEEE 01.11.2015
• Subjects: Bluetooth; Clusters; Conferences; Data management; Global Positioning System; Government; IEEE 802.15 Standard; Industrial applications; Internet; Lead; Maintenance engineering; Marine vehicles; Maritime; Northwest; Productivity
• ISBN: 9781479986392; 1479986399
• ISSN: 2159-3442; 2159-3450
• DOI: 10.1109/TENCON.2015.7372918

Big Data Analytics (BDA) and Internet of Things (IoT) are rising quickly. The recent emerging Industrial IoT (IIoT), a sub-paradigm of IoT, focuses more in safety-critical industrial applications. Studies showed that the adoption of BDA increase companies' output and productivity; IoT enables companies to have more information and control in physical resources, processes, and environments; BDA and IIoT complement each other and develop as a double "helix". In this position paper, we briefly review the opportunities and challenges in this era of big data and IoT for the Møre maritime cluster; then we propose a new framework integrating BDA and IIoT technologies for offshore support vessels (OSVs) based on a hybrid CPU/GPU/FPGA1 high performance computing platform. We believe that such a framework, when implemented, can help maritime companies increase their output and productivity, and hence enable the whole cluster to continue to be a leader in the global maritime industry.