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 lives indoors. Detecting air quality problems and improving air quality is 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 consists of a ESP32 controller with a new generation embedded system architecture and low cost different air quality sensors. In addition, the AAL system provides real-time monitoring of indoor air quality parameters such as CO2, CO, PM10, NO2, temperature and humidity via the mobile user interface developed with the Blynk IoT platform. The mobile application sends warning notifications to users if the indoor air quality parameters exceeded the specified threshold values. Thanks to these notifications, households can take the necessary measures as soon as possible against the factors that threaten the health of the elderly and children with simple measures such as natural ventilation. The results showed that the proposed measurement system can contribute significantly to AAL systems with its low cost, open source technology, easy installation and mobility.

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