TY - JOUR
T1 - Portable multi-sensor air quality monitoring platform for personal exposure studies
AU - Oluwasanya, Pelumi W.
AU - Alzahrani, Abdullah
AU - Kumar, Varindra
AU - Samad, Yarjan Abdul
AU - Occhipinti, Luigi G.
N1 - Funding Information:
Here we propose a multi-sensor platform that has the potential to achieve the necessary level of functionality and integration, as needed to provide the user with easy access to the relevant data at any time. A clear benefit and future evolution of the proposed platform consists of the possibility to incorporate machine learning algorithms and artificial intelligence tools in the system to make it personalized to the user’s habits, by learning individual activities and location and correlating these with measured data. This may allow the user to take informed decisions that limit exposure to potentially dangerous agents. Through integration with smartphones, it may be possible to access information about known relationships between exposure to such agents and likelihood of disease and use these This research was supported by InnovateUK (GraphClean G.A. No. 71476-481865 and MP-SENS 73047-501268), EPSRC Sensors CDT (G.A. No. EP/KO3099X/1), EPSRC CIMLAE (G.A. No. EP/LO15889/1) and the Presidential Special Scholarship for Innovation and Development, managed by the National Universities Commission and funded by the Petroleum Technology Development Fund.
Publisher Copyright:
© 1998-2012 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Poor air quality is considered among the main causes of millions of premature deaths annually, about 8 million in 2012 according to the World Health Organization [1]. Several epidemiological studies have found a relationship between exposure beyond specified limits and burden of disease [2]. These and many more have led to an increased and urgent need to both monitor and consequently limit personal exposure to harmful pollutants [3]. There is a generalized attention from different governmental agencies globally to limit anthropogenic emissions via legislations and policies. City councils, including for instance in Cambridge, UK, promote new policies that help accelerate switching from combustion engines to electric vehicles both for public and for private transport, accompanied by installation of a distributed urban network of rapid charging points by 2020 [4], along with imposition of road taxes, and exemption from the same based on vehicles' emission of polluting gases and smaller particulate matter (PM2.5). Besides, reduction of indoor wood burning for heating, as one of the largest sources of indoor particulate matter, also has the potential to drastically reduce PM2.5 exposure levels. Citizens are nowadays more conscious of and attentive to their personal exposure to polluting agents and environments and prone to adopt cleaner solutions for living, transport, energy generation and heating. Adoption of personal exposure monitoring devices on an individual level therefore offers multiple benefits and is motivated by the willingness to continue making healthier choices in everyday life consistently. Access to high resolution data of personal exposure with high space and time accuracy is however difficult to achieve with currently available centralized or public network of monitoring stations. Providing individuals with portable devices for air quality monitoring that operate in real time and allow them to monitor and record their personalized exposure levels in combination with conventional geolocation offering a half-meter or less space resolution may become a unique instrument and breakthrough, not only for the individuals, but also for the city councils, and other government agencies to shape and fine-tune their policies for control of air quality in urban, industrial and rural areas. This is possible with the use of both existing and emerging technologies for autonomous sensors, data communication and modern mobile networks, including Internet of Things.
AB - Poor air quality is considered among the main causes of millions of premature deaths annually, about 8 million in 2012 according to the World Health Organization [1]. Several epidemiological studies have found a relationship between exposure beyond specified limits and burden of disease [2]. These and many more have led to an increased and urgent need to both monitor and consequently limit personal exposure to harmful pollutants [3]. There is a generalized attention from different governmental agencies globally to limit anthropogenic emissions via legislations and policies. City councils, including for instance in Cambridge, UK, promote new policies that help accelerate switching from combustion engines to electric vehicles both for public and for private transport, accompanied by installation of a distributed urban network of rapid charging points by 2020 [4], along with imposition of road taxes, and exemption from the same based on vehicles' emission of polluting gases and smaller particulate matter (PM2.5). Besides, reduction of indoor wood burning for heating, as one of the largest sources of indoor particulate matter, also has the potential to drastically reduce PM2.5 exposure levels. Citizens are nowadays more conscious of and attentive to their personal exposure to polluting agents and environments and prone to adopt cleaner solutions for living, transport, energy generation and heating. Adoption of personal exposure monitoring devices on an individual level therefore offers multiple benefits and is motivated by the willingness to continue making healthier choices in everyday life consistently. Access to high resolution data of personal exposure with high space and time accuracy is however difficult to achieve with currently available centralized or public network of monitoring stations. Providing individuals with portable devices for air quality monitoring that operate in real time and allow them to monitor and record their personalized exposure levels in combination with conventional geolocation offering a half-meter or less space resolution may become a unique instrument and breakthrough, not only for the individuals, but also for the city councils, and other government agencies to shape and fine-tune their policies for control of air quality in urban, industrial and rural areas. This is possible with the use of both existing and emerging technologies for autonomous sensors, data communication and modern mobile networks, including Internet of Things.
UR - http://www.scopus.com/inward/record.url?scp=85074066794&partnerID=8YFLogxK
U2 - 10.1109/IMM.2019.8868275
DO - 10.1109/IMM.2019.8868275
M3 - Article
AN - SCOPUS:85074066794
SN - 1094-6969
VL - 22
SP - 36
EP - 44
JO - IEEE Instrumentation and Measurement Magazine
JF - IEEE Instrumentation and Measurement Magazine
IS - 5
M1 - 8868275
ER -