Sensor Fusion with Seven Parameters for Indoor Air Quality Monitoring System

Indoor Air Quality is needed to be detected and monitored. Poor indoor air quality from air pollution is a global environmental concern that significantly impacts human health and ecosystems. Air pollutants can be consist of some gases, such carbon monoxide, sulfur dioxide, ammonia, total volatile organic compounds, and nitrogen dioxide. Indoor air quality is also related to the temperature and humidity. Therefore, monitoring air quality accurately and comprehensively is crucial for effective mitigation and policy-making. Air quality sensor fusion, a process of integrating data from multiple sensors, has emerged as an approach to enhance the accuracy and reliability of air quality monitoring systems. Combining data from diverse sensors, sensor fusion enables a more comprehensive of air pollution dynamics. Therefore, in this research, seven parameters are chosen such as Particulate Matter, Volatile Organic Compounds, Carbon Monoxide, Nitrogen Dioxides, Sulfur Dioxide, Ammonia, Temperature, and Humidity sensors are integrated to monitor indoor air quality using ESP32-WROOM-32 as a microcontroller with Arduino IDE as a platform for programming and displaying the result. The result of this research is those seven parameters can be detected and monitored on a serial monitor Arduino IDE with all calibrated sensors with compact size of the PCB design with the dimension of 100 mm × 100 mm. The development of this sensor fusion for further research can be connected to Internet of Things.