Indoor Air Quality Monitoring Using Infrastructure-Based Motion Detectors

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Pysyväisosoite

http://hdl.handle.net/10138/310796

Lähdeviite

Hossein Motlagh , N , Zaidan , M , Lagerspetz , E , Varjonen , S , Toivonen , J , Mineraud , J , Rebeiro-Hargrave , A , Siekkinen , M , Hussein , T , Nurmi , P & Tarkoma , S 2019 , Indoor Air Quality Monitoring Using Infrastructure-Based Motion Detectors . in Proceedings : 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) . vol. 1 , IEEE International Conference on Industrial Informatics (INDIN) , vol. 1 , IEEE , pp. 902-907 , 17th International Conference on Industrial Informatics (INDIN) , Helsinki , Finland , 22/07/2019 . https://doi.org/10.1109/INDIN41052.2019.8972332

Julkaisun nimi: Indoor Air Quality Monitoring Using Infrastructure-Based Motion Detectors
Tekijä: Hossein Motlagh, Naser; Zaidan, Martha; Lagerspetz, Eemil; Varjonen, Samu; Toivonen, Juhani; Mineraud, Julien; Rebeiro-Hargrave, Andrew; Siekkinen, Matti; Hussein, Tareq; Nurmi, Petteri; Tarkoma, Sasu
Tekijän organisaatio: Department of Computer Science
Global Atmosphere-Earth surface feedbacks
INAR Physics
Institute for Atmospheric and Earth System Research (INAR)
Air quality research group
Content-Centric Structures and Networking research group / Sasu Tarkoma
Helsinki Institute for Information Technology
Julkaisija: IEEE
Päiväys: 2019
Kieli: eng
Sivumäärä: 6
Kuuluu julkaisusarjaan: Proceedings
Kuuluu julkaisusarjaan: IEEE International Conference on Industrial Informatics (INDIN)
ISBN: 978-1-7281-2927-3
ISSN: 2378-363X
DOI-tunniste: https://doi.org/10.1109/INDIN41052.2019.8972332
URI: http://hdl.handle.net/10138/310796
Tiivistelmä: Poor indoor air quality is a significant burden to society that can cause health issues and decrease productivity. According to research, indoor air quality is intrinsically linked with human activity and mobility. Indeed, mobility is directly linked with transfer of small particles (e.g. PM2.5) and extent of activity affects production of CO2. Currently, however, estimation of indoor quality is difficult, requiring deployment of highly specialized sensing devices which need to be carefully placed and maintained. In this paper, we contribute by examining the suitability of infrastructure-based motion detectors for indoor air quality estimation. Such sensors are increasingly being deployed into smart environments, e.g., to control lighting and ventilation for energy management purposes. Being able to take advantage of these sensors would thus provide a cost-effective solution for indoor quality monitoring without need for deploying additional sensors. We perform a feasibility study considering measurements collected from a smart office environment having a dense deployment of motion detectors and correlating measurements obtained from motion detectors against air quality values. We consider two main pollutants,PM2.5 and CO2, and demonstrate that there indeed is a connection between extent of movement and PM2.5concentration. However, for CO2, no relationship can be established, mostly due to difficulties in separating between people passing by and those residing long-term in the environment.
Avainsanat: 113 Computer and information sciences
Vertaisarvioitu: Kyllä
Pääsyrajoitteet: openAccess
Rinnakkaistallennettu versio: acceptedVersion


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