Akademik Veri Yönetim Sistemi
Celal Bayar Üniversitesi Fen Bilimleri Dergisi, cilt.18, sa.4, ss.393-401, 2022 (Hakemli Dergi)
Air pollution has become a severe problem in most of the world and is among the governments' prior
subjects. In the present time, urban dwellers spend most of their time in confined spaces such as home,
office, school, shopping malls, and gyms. Contaminant gases (CO2, CO, NO2) and particulate matters
arising from occupant activities such as exercise, sleeping, cooking, smoking, and cleaning are among the
most critical factors which influence indoor air quality. Such gasses and particulate matter depend on
human activities lower indoor air quality; hence, they cause many serious health problems, especially
respiratory tract, cardiovascular and dermatological diseases.
In this study, the indoor air quality of housing is examined depending upon occupant activities. Air quality
parameters of temperature, humidity, CO2, CO, PM10, NO2, which are collected from the bathroom,
kitchen, living room and bedroom of the housing, are measured using 32-bit ESP32 controller and a set of
air quality sensors Obtained air quality data is saved to cloud server by the help of mobile user interface
developed through Blynk IoT platform. As a result of the analysis, it is observed that occupant activities
like sleeping, shower, laundry, and cooking adversely affect indoor air quality