IOT-BASED INDOOR AIR QUALITY MONITORING SYSTEM FOR ENHANCED OCCUPANT HEALTH AND COMFORT IN SMART BUILDINGS

Abstract

IoT-based indoor air quality (IAQ) monitoring systems hold significant importance in enhancing occupant health and comfort within the context of smart buildings. The quality of indoor air directly impacts the well-being, productivity, and overall quality of life of individuals residing or working within enclosed spaces. Poor IAQ, characterized by elevated pollutant levels, can lead to a range of adverse health effects, including respiratory ailments, allergies, and chronic illnesses. This paper focuses on the experience and implementation of an IoT-based IAQ monitoring platform with three sensors. The platform uses the IoT Adafruit database dashboard and Telegram server to observe indoor air quality in a selected place, at any time. Based on IoT technology, the sensors are created to monitor air quality effectively and send data to the dashboard and Telegram through Internet. The project is made up of Esp32 microprocessor, sensors for pollution, and temperature humidity detection. The systems used in this study are made to measure the voltage levels of MQ4, MQ-135, and DHT11 to track the air quality and gas. After that, the project was tested successfully, where all sensors get the correct percentages.