This project involves creating an air quality monitoring system using sensors that detect pollutants like CO2, NOx, and particulate matter in the air. The sensor data is processed by a microcontroller and sent to an IoT platform via Wi-Fi or GSM for real-time monitoring. The data can be visualized on dashboards, and alerts can be triggered when pollutant levels exceed predefined thresholds. Such systems are valuable in urban environments where air pollution is a major health concern.
An IoT-based air pollution monitoring system consists of several hardware and software components that work together to collect and process data. The hardware components include sensors, microcontrollers, and communication modules. The software components consist of a cloud platform, a mobile application, and a web-based dashboard.
The IoT-based air pollution monitoring system provides several benefits over traditional air pollution monitoring systems. It can collect real-time data from multiple locations, which then analyzed to identify the sources of pollution. It helps to take necessary measures to reduce it.
The system can also alert the users if the air quality reaches a dangerous level, allowing them to take precautions to protect themselves.
