학술논문

Indoor Air Quality Assessment using IoT-based Sensors in Nursing Homes
Document Type
Conference
Source
2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) Software, Knowledge, Information Management and Applications (SKIMA), 2022 14th International Conference on. :133-139 Dec, 2022
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Temperature measurement
Temperature sensors
Medical services
Humidity
Ventilation
Real-time systems
Internet of Things
CO2
Care home
well-being
IAQ
Nursing homes
Language
ISSN
2573-3214
Abstract
Many of us spend large amounts of time indoors, so indoor air quality (IAQ) improves our quality of life. IAQ is affected by contextual, occupant, and building-related (COB) factors. We know little of the effects of IAQ on comfort and wellbeing in the elderly and there is almost no data on air quality measured in residential nursing homes. Technological advances in ambient assisted living and the Internet of Things (IoT), make it possible to build objects with the capacity to monitor IAQ in real time. In this study, we used IoT-based sensors in two nursing homes to assess IAQ by monitoring CO2, temperature, and humidity during the Summer of 2022, taking into account the outdoor weather conditions and the need for thermal appliances or the airflow from windows. The presence of residents and workers in communal areas raised CO2 levels with windows closed, whilst opening them improves the air quality. Our results show how opening windows in communal spaces in elderly care environments can help preserve indoor air quality (IAQ) when occupancy is high. These “simple” solutions to raising IAQ rely on overcoming behavioural, technical and data-related challenges - which we discuss.