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Despite enormous growth in the use and development of IoT air quality (AQ) monitoring equipment and a number of studies looking into performance, there is still a level of uncertainty around accuracy and in some cases excessive costs. Large scale deployments such as those at Newcastle and Sheffield University, as part of the EPSRC National Observatory Programme, where over 150 devices have been deployed to date have also highlighted this ongoing uncertainty. These issues present a challenge to further uptake and use of this IoT technology and prevent policy and decision making based around the acquired data.
The RUBICON AQ project will be delivered through three phrases. Initially they will conduct a thorough analysis of existing literature which reviews performance of IoT air quality monitoring equipment, using this to inform the experimental design of the programme. Next, a range of techniques for in-situ and remote performance monitoring and calibration will be tested. Finally, the project will analyse its findings and present its recommendations, ensuring information filters into relevant policy discussions.
Phil James at Newcastle University