Optical fibre multi-parameter sensing with secure cloud based signal capture and processing

Thomas Newe; Eoin O'Connell; Damien Meere; Hongwei Yuan; Gabriel Leen; Sinead O'Keeffe; Elfed Lewis

doi:10.1117/12.2236632

30 May 2016 Optical fibre multi-parameter sensing with secure cloud based signal capture and processing

Thomas Newe, Eoin O'Connell, Damien Meere, Hongwei Yuan, Gabriel Leen, Sinead O'Keeffe, Elfed Lewis

Proceedings Volume 9916, Sixth European Workshop on Optical Fibre Sensors; 99162V (2016) https://doi.org/10.1117/12.2236632
Event: Sixth European Workshop on Optical Fibre Sensors (EWOFS'2016), 2016, Limerick, Ireland

Abstract

Recent advancements in cloud computing technologies in the context of optical and optical fibre based systems are reported. The proliferation of real time and multi-channel based sensor systems represents significant growth in data volume. This coupled with a growing need for security presents many challenges and presents a huge opportunity for an evolutionary step in the widespread application of these sensing technologies. A tiered infrastructural system approach is adopted that is designed to facilitate the delivery of Optical Fibre-based “SENsing as a Service- SENaaS". Within this infrastructure, novel optical sensing platforms, deployed within different environments, are interfaced with a Cloud-based backbone infrastructure which facilitates the secure collection, storage and analysis of real-time data. Feedback systems, which harness this data to affect a change within the monitored location/environment/condition, are also discussed. The cloud based system presented here can also be used with chemical and physical sensors that require real-time data analysis, processing and feedback.

Citation Download Citation

Thomas Newe, Eoin O'Connell, Damien Meere, Hongwei Yuan, Gabriel Leen, Sinead O'Keeffe, and Elfed Lewis "Optical fibre multi-parameter sensing with secure cloud based signal capture and processing", Proc. SPIE 9916, Sixth European Workshop on Optical Fibre Sensors, 99162V (30 May 2016); https://doi.org/10.1117/12.2236632

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