Air Quality Monitoring System using Raspberry Pi and Web Socket

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
A. Mari Kirthima, Aravind Raghunath

Mari A Kirthima and Aravind Raghunath. Air Quality Monitoring System using Raspberry Pi and Web Socket. International Journal of Computer Applications 169(11):28-30, July 2017. BibTeX

	author = {A. Mari Kirthima and Aravind Raghunath},
	title = {Air Quality Monitoring System using Raspberry Pi and Web Socket},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {11},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {28-30},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2017914826},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Air quality nowadays has been degraded to a large extent that it has become a necessary criteria for us to monitor its quality. The quality of air has been affected by various factors like industrial emission, vehicular transmission etc. The evolution of various technology like the Internet of Things, Raspberry Pi, it has become easier for us to deploy sensors and allow to detect the quality of air in real time. The Internet Of things is a term for various devices communicating with each other which was not possible before since the different devices use different kind of data which has been overcome by the use of single board computer (Raspberry Pi). Integration of IOT with Sensor nodes with the help of Raspberry Pi for Air Quality Monitoring provides an effective way than the approaches that were previously used. Sensor web node is proposed with commercial gas sensors for detecting the gases like CO, CO2 etc to monitor both indoor and outdoor air quality. The results obtained through these sensors are then evaluated by Ruby on Rails Server through web socket.


  1. Sensors and its Details,
  2. Arduino,
  3. Raspberry Pi,
  4. Web Socket,
  5. Ruby on Rails,
  6. Sunil Karamchandani, et al. ”Pervasive Monitoring of Carbon Monoxide and Methane using Air Quality Prediction”, 2016 IEEE
  7. Internet of Things based Smart Environmental Monitoring using the Raspberry-Pi Computer, 2015 IEEE


Raspberry Pi, Arduino Mega, Web Socket, Sensors, IOT