Advertisement

Internet of Things Based Air Pollution Monitoring and Forecasting System

  • P. GokulEmail author
  • J. Srikanth
  • G. Inbarasu
  • Kamalraj Subramaniyam
  • G. K. D. Prasanna Venkatesan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 39)

Abstract

The quality of air plays a predominant role in human health and has greater influence on life expectancy. In our project, five different gas sensors are used to evaluate the quality of air. The quality of air is classified into good, moderate, unhealthy, and hazardous. For instance, this work has been conducted in Coimbatore (smart city). The presence of harmful gases determines the nature of the air and this classification can be monitored periodically by measuring the amount of SO2 and NO2, which acts as a vital parameter. These measured and classified data can be transferred to public access and decision can be taken, so that we have developed an open access website to store and display the values of classified air quality. This information to the people can be used to improve quality of life by improving the quality of air.

Keywords

Gas sensors PIC micro controller IOT Air quality 

References

  1. 1.
  2. 2.
  3. 3.
    Embedded traffic control system using wireless ad hoc sensors. Middle-East J. Sci. Res. 20(2), 225–227 (2014)Google Scholar
  4. 4.
    Urban air pollution monitoring system with forecasting models. IEEE Sens. J. 16(8), 2598–2606 (2016)Google Scholar
  5. 5.
    IoT for environmental variables in urban areas. In: ELSEVIER on International Conference Ambient Systems, Networks and Technologies, ANT-2017, vol. 109, pp. 67–74 (2017)Google Scholar
  6. 6.
    Augustine, I., Subramaniam, K.: LPG consumption, monitoring and Booking system. Int. J. Appl. Eng. Res. 4, 3993–3998 (2016)Google Scholar
  7. 7.
    Ayele, T.W., Mehta, R.: Air pollution monitoring and prediction using IOT. In: 2nd International Conference on Inventive Communication and Computational Technologies (2018)Google Scholar
  8. 8.
    Bales, E., Nikzad, N., Quick, N., Ziftci, C., Patrick, K., Griswold, W.: Citisense: mobile air quality sensing for individuals and communities (2012)Google Scholar
  9. 9.
    Biswas, J., Upadhyay, E., Nayak, M., Yadav, A.K.: An analysis of ambient air quality conditions over Delhi, India from 2004 to 2009. Atmos. Clim. Sci. 1, 214–224 (2011)Google Scholar
  10. 10.
    Chittilappilly, A.J., Subramaniam, K.: SVM based defect detection for industrial applications. In: 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), pp. 1–5 (2017)Google Scholar
  11. 11.
    Fuertes, W., Carrrera, D., Villacis, C., Toulkeridis, T., Galarraga, F., Torres, E., Aules, H.: Distributed system as Internet of Things for a new-low-cost, air pollution wireless monitoring on real time. In: 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (2015)Google Scholar
  12. 12.
    Goyal, S.K., Ghatge, S.V., Nema, P., Tamhane, S.M.: Understanding urban vehicular pollution problems vis-a-vis ambient air quality-case study of mega city. Environ. Monit. Assess. 199, 557–569 (2006)Google Scholar
  13. 13.
    Gurjar, B.R., Aardenne, J., Lelievelda, J., Mohan, M.: Emission estimates and trends for mega city Delhi and implication (2004)Google Scholar
  14. 14.
    Ngoc, T.Q., Lee, J., Gil, K.J.: An ESB based micro scale urban air quality monitoring system. In: Fifth IEEE International Conference on Networking, Architecture, and Storage (2010)Google Scholar
  15. 15.
    Paulraj, M.P., Subramaniam, K., Yaccob, S.B., Adom, A.H.B.: Application specific multichannel EEG data acquisition system for portable biomedical application. In: Proceedings of the Conference on MUCET, pp. 15–28 (2012)Google Scholar
  16. 16.
    Paulraj, M.P., Subramaniam, K., Yaccob, S.B., Adom, A.H.B., Hema, C.R.: A Machine learning approach for distinguishing hearing perception level using auditory evoked potentials. In: IEEE EMBS Conference on Bio-Medical Engineering Sciences, pp. 991–996 (2014)Google Scholar
  17. 17.
    Pachiyaannan, M., Venkatesan, G.P.: Designing of Wireless Sensor Node using MSP (2013)Google Scholar
  18. 18.
    Raipure, S., Mehetre, D.: Wireless Sensor Network Based Pollution Monitoring System in Metropolitan Cities. In: IEEE on International Conference (2015)Google Scholar
  19. 19.
    Ramakrishna, G., Kasthala, S., Venkatesan, G.P.: Arduino based automatic vehicle control system. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 2(6) (2017)Google Scholar
  20. 20.
    Rybarczyk, Y., Zalakeviciute, R.: Machine learning approach to forecasting urban pollution. IEEE J. (2016)Google Scholar
  21. 21.
    Shah, J., Mishra, B.: IOT enabled environmental monitoring system for smart cities. In: International Conference on Internet of Things and Applications (IOTA) (2016)Google Scholar
  22. 22.
    Sharma, N., Taneja, S., Sagar, V., Bhatt, A.: Forecasting air pollution load in Delhi using data analysis tools. In: International Conference on Computational Intelligence and Data Science (2016)Google Scholar
  23. 23.
    Sumithra, D.A., Ida, J.J., Karthika, K., Gavaskar, D.S.: A smart environmental monitoring system using Internet of Things. IJSEAS J. 2(3) (2016)Google Scholar
  24. 24.
    Tudose, D.S., Patrascu, T.A., Voinescu, A., Tataroiu, R., Tapus, N.: Mobile sensors in air pollution measurement. In: 8th Workshop on Positing Navigation and Communication, pp. 166–170 (2011)Google Scholar
  25. 25.
    Xi, X., Wei, Z., Rui, X., Wang, Y., Bai, X., Yin, W., Don, J.: A comprehensive evolution of air pollution prediction improvement by a machine learning method. In: IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) (2015)Google Scholar
  26. 26.
    Xiaojun, C., Liu, X., Xu, P.: IOT - based air pollution monitoring and forecasting system. In: International Conference on Computer and Computational Sciences (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • P. Gokul
    • 1
    Email author
  • J. Srikanth
    • 1
  • G. Inbarasu
    • 1
  • Kamalraj Subramaniyam
    • 1
  • G. K. D. Prasanna Venkatesan
    • 2
  1. 1.Department of ECEKarpagam Academy of Higher EducationCoimbatoreIndia
  2. 2.Faculty of EngineeringKarpagam Academy of Higher EducationCoimbatoreIndia

Personalised recommendations