Iot Based Indoor Air Pollution Monitoring Using Raspberry Pi

This paper proposes an approach to monitor Air pollution parameter using the Raspberry-Pi. The system is designed using the python coding language. The monitored values can be accessed from the Internet of Things platform. The air pollution parameters are taken from the low cost gas sensors. The parameters include: concentrations of smoke, carbon monoxide and nitrogen-di-oxide, temperature and humidity. Also an alarm is triggered to indicate high concentrations of emissions. This acts as a warning to the authorities about the air pollution rate. A graph is plotted using the monitored values using Thing speak platform.