Abstract
In response to escalating concerns over air pollution and its adverse health impacts, we present a comprehensive realtime Air Quality Monitoring System utilizing the Internet of Things (IoT). By deploying a network of cost-effective sensors, this system can measure various pollutants such as CO2, CO, smoke, and LPG, transmitting data for analysis to aid both authorities and the public in making informed decisions. The core of the system is the ESP32 microcontroller, which integrates sensors like DHT11, MQ135, MQ7, and MQ2 to gather environmental data. Real-time monitoring is facilitated by displaying data on an LCD screen and storing it on the cloud-based ThingSpeak platform for further analysis and visualization. The system’s architecture is designed to be both efficient and accessible, utilizing Arduino IDE for code development and ThingSpeak for data handling. The hardware components include the ESP32 microcontroller, various gas sensors, an LCD display, and other essential electronics. The software setup involves configuring the Arduino IDE and ThingSpeak platform for seamless data transmission and visualization. In this research work, we deployed this system in multiple environments, including parking lot, chemical testing lab, and cloud kitchen, to monitor temperature, humidity, and pollutant levels. The results indicated significant variations in air quality across different settings, with the cloud kitchen showing the highest levels of pollutants due to the presence of various chemicals and equipment. Our analysis underscores the importance of continuous air quality monitoring and the system’s potential to enhance indoor air quality management proactively.
Keywords: Air Quality Monitoring, Environmental Data Analysis, ESP32, IoT, ThingSpeak