CENSIS Review 2013-2016
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<strong>CENSIS</strong> <strong>Review</strong> <strong>2013</strong> – <strong>2016</strong><br />
Cascade Technologies<br />
With University of Glasgow<br />
The aim of this project was to address the high-level challenge of developing, safe, reliable<br />
and cost-effective technologies for the emerging shale gas market.<br />
The team developed and demonstrated a network of open path gas sensing platforms<br />
capable of continuous and remote operation to localise and monitor fugitive emissions of<br />
gases from unconventional extraction sites.<br />
Findlay Irvine<br />
With Heriot-Watt University<br />
This collaboration explored a new sensor system to measure voids under railway sleepers as<br />
trains pass. Deploying wireless accelerometers directly to railway track infrastructure allows<br />
for the real time monitoring of railway track movements during train passage.<br />
Although signal processing challenges have previously prevented the development of<br />
such a commercial product, a new algorithm has the potential to overcome these and be<br />
expanded to measure railway voiding.<br />
Gas Sensing Solutions<br />
With Glasgow Caledonian University<br />
The investigation of intelligent sensor systems with applications for the built environment,<br />
telehealthcare and the oil and gas industries was the challenge for this project. The team<br />
investigated the possibilities of smart Sensors as embedded intelligent self-learning<br />
systems. This would allow sensors to anticipate and respond to changing conditions with<br />
minimal human intervention, helping to provide comfortable living environments, reduce<br />
power consumption and protect the environment.<br />
Gas Sensing Solutions and Wideblue<br />
With the University of the West of Scotland<br />
GSS also collaborated on a project with Wideblue and the University of the West of Scotland<br />
on the feasibility of a portable respiratory device for sports and exercise.<br />
The team aimed to establish measured and modelled performance data and provide a go/<br />
no go decision as to feasibility for using the new Wideblue/GSS medical capnometers in<br />
exercise science and recreational sports applications.<br />
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