Advertisement

Air Quality Monitoring System Through Mobile Sensing in Metropolitan City

  • Y. Ambika NaikEmail author
  • M. R. Suma
  • P. Madhumathy
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)

Abstract

The most hazardous form of air pollution is the particulate matter for the reason that it not only affects the human health but also has an impact on the earth’s climate and precipitation levels. This paper proposes an easy and cost-efficient method to measure dust particle, the volume of CO (carbon monoxide), temperature and humidity for the weather forecast. A dust sensor, gas sensor, temperature, and humidity sensor collects the data from the environment. This data is given to the Node MCU which is an open source IoT platform running on ESP8266. The ESP8266 is a low-cost WI-Fi microchip which processes the data. The Processed data is given to the IoT server. When the mobile application requests for data it is fetched from the IoT server.

Keywords

Fine dust Gas Temperature Humidity Node MCU (ESP8266) 

References

  1. 1.
    Lu, Z., Young, Y.: On-line size measurement of fine dust through digital imaging. In: IEEE International Conference, 24–25 November 2015Google Scholar
  2. 2.
    Kim, S.H.: Development of an IoT-based atmospheric environment monitoring system. In: IEEE International Conference (2017)Google Scholar
  3. 3.
    Shaozhi, W., Jian, L., Linghua, Z., Huanan, C.: Research on rapid temperature measurement system. In: 11th IEEE International Conference (2013)Google Scholar
  4. 4.
    Jang, J.H., Kun, L., Jo, Y.M.: Fine dust control by HVAC in Seoul Metro Subway. In: ICROS-SICE International Joint Conference, 18–21 August 2009Google Scholar
  5. 5.
    Firculescu, A.-C., Tudose, D.S.: Low-cost air quality system for urban area monitoring. In: 20th International Conference on Control Systems and Science (2015)Google Scholar
  6. 6.
    Devarakonda, S., Sevusu, P., Liu, H., Liu, R., Iftode, L., Nath, B.: Real-time air quality monitoring through mobile sensing in metropolitan areas. In: Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing (2013)Google Scholar
  7. 7.
    Hasenfratz, D., Saukh, O., Sturzenegger, S., Thiele, L.: Participatory air pollution monitoring using smartphones. In: 2nd International Workshop on Mobile Sensing, 16–20 April 2012Google Scholar
  8. 8.
    Brynda, P., Kosová, Z., KopĜiva, J.: Mobile sensor unit for online air quality monitoring. In: Smart Cities Symposium Prague (2016)Google Scholar
  9. 9.
    Tudose, D.Ş., Patras, TA., Voinescu, A., Tătăroiu, R., Nicolae, T.: Mobile sensors in air pollution measurement. In: IEEE International Conference (2011)Google Scholar
  10. 10.
    Kularatna, N., Sudantha, B.H.: An environmental air pollution monitoring system based on the IEEE 1451 standard for low cost requirements. In: IEEE International Conference (2008)Google Scholar
  11. 11.
    Llobet, E., Ionescu, R., Al-Khalifa, S., Brezmes, J., Vilanova, X., Correig, X., Bârsan, N., Gardner, J.W.: Multi-component Gas mixture analysis using a single tin oxide sensor and dynamic pattern recognition. IEEE Sens. J. 1(3) (2001)CrossRefGoogle Scholar
  12. 12.
    Tsow, F., Forzani, E., Rai, A., Wang, R., Tsui, R., Mastroianni, S., Knobbe, C., Gandolfi, A.J., Tao, N.J.: A wearable and wireless sensor system for real-time monitoring of toxic environmental volatile organic compounds. IEEE Sens. J. 9(12) (2009)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.DSCEBengaluruIndia
  2. 2.DSATMBengaluruIndia

Personalised recommendations