Indoor Air Quality Monitoring and Controlling System based on IoT and Fuzzy Logic

Air pollution is one of the biggest health challenges in the world. Indoor air pollution is 2-5 times larger than outdoors, but people still do not care about it. Currently, people open the window or use an exhaust fan to refresh the air condition inside the room. However, people sometimes are too busy to pay attention to the air quality inside the room. Therefore, automation is required to bring the air quality into the required level. This study discussed indoor air quality monitoring and controlling system that can monitor the air condition and control the air condition using an exhaust fan. This system used the IoT concept in conducting real-time monitoring of carbon dioxide and PM10. The proposed system has fuzzy controls that could adjust the working interval of exhaust fan automatically depends on the concentration of each pollutant. Experiment results show that the proposed system shows excellent performance in controlling indoor air quality in terms of pollutant concentrator, AQI, and processing time to remove the pollutants.