Optimizing Indoor Air Quality: A Fuzzy Logic-based Control System

In the current context, ensuring and maintaining high indoor air quality is of paramount importance for all individuals, as indoor pollution levels often surpass those found outdoors. The consequences of indoor air pollution can manifest immediately after exposure or emerge years later, leading to various health issues. Enhancing indoor air quality through proper ventilation is essential, as it not only improves the quality of the air but also mitigates health risks associated with indoor pollution. Given the fast-paced lifestyles of people today, monitoring and automating the indoor air-refreshing process is crucial. This work introduces a system designed to monitor and regulate indoor air quality, temperature, and humidity by utilizing Arduino technology and a fuzzy logic controller. Additionally, the system can detect LPG gas leaks and issue SMS alerts to users via GSM technology. Furthermore, it incorporates an HEPA filter to purify the air. The system employs the MQ-135 sensor to measure air quality and the DHT-11 sensor to gauge temperature and humidity, while LPG gas detection is achieved with the MQ-2 sensor. The data from these sensors is used to modulate the speed of the ventilation fan through the fuzzy logic controller. This integrated system demonstrates exceptional performance in controlling and monitoring air quality within indoor environments, thereby effectively reducing indoor air pollution and decreasing power consumption associated with the ventilation mechanism.