With more attention being paid to environmental issues in recent years, air quality monitoring is becoming more important. It has been possible to monitor air quality successfully for many years, but monitoring has traditionally been both expensive and immobile, thus restricted in application. To improve urban environments, air quality monitoring has to be widespread, ubiquitous, cheap, and rapidly responsive. Good, timely data is the key to first identifying, then tackling air pollution issues. This paper develops an alternative, cheap, IoT-based air quality monitor, which can track air pollution in real time, and transmit the relevant data rapidly through a low power wide area network. A large network of such monitors can generate a vast amount of data, which may then be processed and analyzed in the cloud in real time, and correlated with time of day, month, year or weather and other factors.
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL