Offshore industries are facing a shortfall in the workforce, primarily due to extreme working conditions. Monitoring offshore assets is crucial to reducing production cost. Technologies such as the Internet of Things (IoT) are rapidly gaining confidence for providing monitoring and data analytics solutions to the offshore industry. Deploying IoT systems in real industrial solutions, however, is not an easy and straightforward task. It is rare to find the best practices and methodologies to successfully setup an Industrial IoT (IIoT). In our recent work published in the proceedings of the IEEE WCCI-CEC 2020 conference, we present a systems approach to identify, integrate, and deploy the different IIoT modules in a bottom-up manner. We first identify and label the various assets to be monitored, and then abstract them into different types. We then easily map the abstracted assets to the respective IIoT module that is suitable to sample and communicate the asset information. We leveraged our Limpet multi-sensing platform to sense the assets and to transfer the data collected to a central computing server. We implemented and tested this work at the Offshore Renewable Energy Catapult site, located in Blyth, UK. We also developed an interactive query interface and visualisation dashboard to allow real-time data assessment and rapid asset monitoring. The systems approach presented in our work offers a robust methodology to plan-out a successful real-world IIoT deployment. The work presented is part of the Offshore Robotics for Certification of Assets (ORCA) project in the UK.
For the full paper, please visit this link: https://softsystemsgroup.com/2020/09/21/a-systems-approach-to-real-world-deployment-of-industrial-internet-of-things-2/
Fig. 1 Aerial view of ORE Catapult. Limpet sensor nodes and local server hub mapped on the deployment site.
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