Air Monitoring with Cloud and IoT

The air is an essential aspect of humans’ daily lives as it helps in breathing. With the rise of air pollution, it is necessary to have an efficient air quality monitoring system that can detect the concentration of pollutants in the air. In this study, the design and implementation of air quality monitoring system is discussed which uses an MQ2 sensor and ESP32 microcontroller. The system detects the ppm levels in the air to classify whether it is fresh or poor air. The challenges include establishing reliable connectivity, visualizing data effectively, integrating multiple sensors, ensuring accurate measurements, and enabling real-time analysis. The ESP32 microcontroller addresses connectivity issues by providing built-in Wi-Fi and Bluetooth capabilities. The LCD display offers real-time visual feedback, enhancing data visualization. Integration of the DHT11 sensor for temperature and humidity measurement and the MQ2 sensor for gas detection enables comprehensive air quality monitoring. The ThingSpeak application acts as a cloud-based IoT platform, allowing data logging, remote monitoring, and real-time alerts and notifications. If the ppm levels are less than 1000, it is considered poor air, and a buzzer is triggered, along with an LCD I2C display that shows the levels using the I2C protocol. The system also uses a DHT11 sensor to detect temperature and humidity and passes all data to the cloud channel by using IoT, triggering a mail alert using Google sheet with an on and off button for ppm levels using Javascript extension and GPS. The system is designed to provide a real-time solution for monitoring air quality, making it an essential tool for public health and environmental protection.