Air Quality Detection and Monitoring System for Asthmatic Patients

Air pollution is a major environmental concern that significantly affects human health, especially for individuals with respiratory conditions like asthma. Pollutants such as carbon monoxide, nitrogen dioxide, sulfur dioxide, carbon dioxide, and volatile organic compounds can worsen asthma symptoms and trigger attacks. Traditional air quality monitoring systems are often expensive, fixed, and not designed to meet the specific health needs of individuals. This study presents an IoT-based Air Quality Detection and Monitoring System tailored for asthmatic patients. The system provides a portable, real-time, and affordable solution for monitoring air quality. The system uses an ESP32 microcontroller combined with an MQ-135 gas sensor to detect harmful pollutants. A DHT11 sensor measures temperature and humidity levels, which are important for asthma management. The system also includes a GPS module to track the user’s location, especially in emergencies. If the air quality worsens beyond a safe threshold, the system triggers a buzzer alarm and sends SMS alerts to caregivers or medical professionals. In addition, real-time data is shown on an LCD screen and transmitted to a cloud-based platform for remote monitoring. The methodology approach involves designing and developing the system’s hardware and software components. The sensors are calibrated to detect specific air pollutants, and the data is processed by the ESP32 microcontroller. The study reveals the importance of IoT solutions in healthcare and suggests future improvements, including the use of artificial intelligence for predictive analysis and expanding the range of detectable pollutants. This affordable and scalable solution contributes to better asthma management and public health.