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.
In order to satisfy increasingly stringent maritime pollution control laws, it is necessary to develop sensors that are
capable of quantifying exactly the pollutants entering the marine environment. The development of an optical fibre based
sensor array suitable for the detection of known pollutants is discussed in this paper. The system being presented will
demonstrate how the incorporation of a novel fibre optic based sensor, with the ability to detect minute changes of
impurity in a liquid can be used on a Mote based platform in a real-time monitoring scenario and all for a relatively low
cost. [1]
Research into the development of an Early Warning Harmful Algae Bloom (HAB) Sensing System for use in
Underwater Monitoring Applications is presented. The sensor proposed by the authors utilises the complex ties between
ocean colour, absorption and scattering, along with algae pigmentation. The objective is to develop a robust inexpensive
sensor for use in an early warning system for the detection and possible identification of Harmful Algae Blooms. The
sensing mechanism utilised in this system is based on a combination of absorption and reflection spectroscopy and
Principle Component Analysis (PCA) signal processing. Spectroscopy is concerned with the production, measurement,
and interpretation of electromagnetic spectra arising from either emission or absorption of radiant energy by various
substances (or HABs in this application). Preliminary results are presented from the interrogation of chlorophyll, yeast
and saline solutions, as well as levels of absorption obtained utilising two dyes Blue (brilliant Blue (E133) and
Carmoisine (E122) mix) and Red (Ponceau (E124) and Sunset yellow (E110) mix).
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