An IoT Based Air Quality Measurement and Warning System for Ambient Assisted Living
Abstract
Indoor air quality parameters are extremely important for creating an efficient and healthy Ambient Assisted Living (AAL)environment, but mostly indoor air quality parameters are well above the values defined as healthy. We spend most of our livesindoors. Detecting air quality problems and improving air quality are only possible by monitoring air quality in real time. Today,smart home automation has become a popular trend and consumers are increasingly aware of new technologies developed in this area,hence the demand for smart homes is growing. In this study, with the IoT-based indoor air quality measurement and warning system,an AAL system was proposed to help especially elderly and children to live safely in their homes. The proposed AAL system consistsof a ESP32 controller with a new generation embedded system architecture and low cost different air quality sensors. In addition, theAAL system provides real-time monitoring of indoor air quality parameters such as $CO_2$, CO, $PM_10$, $NO_2$, temperature and humidityvia the mobile user interface developed with the Blynk IoT platform. The mobile application sends warning notifications to users ifthe indoor air quality parameters exceeded the specified threshold values. Thanks to these notifications, households can take thenecessary measures as soon as possible against the factors that threaten the health of the elderly and children with simple measuressuch as natural ventilation. The results showed that the proposed measurement system can contribute significantly to AAL systemswith its low cost, open source technology, easy installation and mobility.