Microcontroller Based Environmental Pollution Monitoring System though IoT Implementation

The rapid increasing rate of sound and air pollution have become one of the most consequential issue nowadays in the metropolitan cities, as higher decibels of noise and toxic elements available in the air directly influences both human health and life and introduces large number of complicated diseases all over the world. Henceforth, it has undoubtedly become extremely important to monitor and control both air and sound pollution to ensure and maintain a healthier livelihood and better ecosystem. So, in this paper we proposed and implemented an automated microcontroller-based air and sound pollution monitoring and notifying system that can help to reduce the negative effect of the pollutions mentioned above and helps to take anti-pollution measures by informing the pick hours in the day-time through sufficient information via digital pathway. Our proposed system detects harmful gas elements and higher decibels of noise through the embedded sensors integrated with the microcontroller. The sensors interact with the microcontroller through the data taken by it and the microcontroller processes those data and transmits them over an online server with the help of IOT (Internet of Thing) analytic service platform. The system detects major harmful particles like NH3, CO2, SO2, CO etc. available in air and higher decibels of noise through IOT and also helps with live updates of the pollution level of a certain area. The concept of IOT helps to access data even from any remote location so that anyone can actually even avoid the possibility of physically being present in the polluted area.