DEVELOPMENT OF INDOOR AIR QUALITY MONITORING SYSTEM USING ARDUINO UNO AND MULTIFUNCTIONAL SENSORS

Abstract

This research introduces an indoor air quality monitoring system based on the Arduino Uno microcontroller. The system is enhanced with a moving average filter and incorporates data fusion techniques from two multifunctional sensors. The primary innovation of this system lies in its capability to process and integrate data from multiple sensors, ensuring high accuracy and reliability in indoor air quality (IAQ) evaluations. Comprehensive testing and empirical analysis were performed in various residential environments to validate the system's performance. The outcomes demonstrate that the system furnishes real-time and precise insights into the air quality. This investigation makes a substantial contribution to the field by presenting an effective solution for air quality monitoring. It employs state-of-the-art sensor technology and advanced data processing techniques to enhance the indoor living conditions.