Skip to main content

Air Pollution Monitoring and Information Distribution System

  • Conference paper
  • First Online:
Progress on Pattern Classification, Image Processing and Communications (CORES 2023, IP&C 2023)

Abstract

The impact of air pollution on human health has been studied for decades. Unfortunately, each year brings new evidence of the harmfulness of living in a contaminated environment. The smallest particles of pollutants penetrate the entire body and affect a person already at the stage of the formation of reproductive cells. The spectrum of diseases that can develop from breathing polluted air is broad. Therefore, it is necessary to monitor the state of the air and warn of exceeding the standards, which will allow action in a specific place. In the article, we present a pollutant monitoring system that provides for their measurement and the propagation of information about their level among people in a given area. The system uses IoT technologies and the Internet.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. https://www.who.int/data/gho/data/indicators/indicator-details/GHO/ambient-air-pollution-attributable-deaths. Accessed 23 Mar 2023

  2. Kampa, M., Castanas, E.: Human health effects of air pollution. Environ. Pollut. 151(2), 362–367 (2008)

    Article  Google Scholar 

  3. https://www.who.int/data/gho/data/indicators/indicator-details/GHO/household-air-pollution-attributable-deaths. Accessed 23 Mar 2023

  4. De Gennaro, G., et al.: Indoor air quality in schools. Environ. Chem. Lett. 12, 467–482 (2014)

    Article  Google Scholar 

  5. Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29, 1645–1660 (2013)

    Article  Google Scholar 

  6. Tstan, M., Gokozan, H.: Real-time monitoring of indoor air quality with internet of things-based E-nose. Appl. Sci. 9(16), 34–35 (2019)

    Google Scholar 

  7. Salamone, F., Danza, L., Meroni, I., Pollastro, M.: A low-cost environmental monitoring system: how to prevent systematic errors in the design phase through the combined use of additive manufacturing and thermographic techniques. Sensors 17(828) (2017)

    Google Scholar 

  8. Alvarez-Campana, M., López, G., Vázquez, E., Villagrá, V., Berrocal, J.: Smart CEI Moncloa: an IoT-based platform for people flow and environmental monitoring on a Smart University Campus. Sensors 17, 28–56 (2017)

    Article  Google Scholar 

  9. Zhang, D., Woo, S.S.: Real time localized air quality monitoring and prediction through mobile and fixed IoT sensing network. IEEE Access 8, 89584–89594 (2020)

    Article  Google Scholar 

  10. Martín-Baos, J.Á., Rodriguez-Benitez, L., García-Ródenas, R., Liu, J.: IoT based monitoring of air quality and traffic using regression analysis. Appl. Soft Comput. 115, Article no. 108282 (2022)

    Google Scholar 

  11. Hossain, A., Anee, M.J., Faruqui, R., Bushra, S., Rahman, P., Khan, R.: A GPS based unmanned drone technology for detecting and analyzing air pollutants. IEEE Instrum. Measur. Mag. 25(9), 53–60 (2022)

    Article  Google Scholar 

  12. Fazio, R.D., Dinoi, L.M., Vittorio, M.D., Visconti, P.: A sensor-based drone for pollutants detection in eco-friendly cities: hardware design and data analysis application. Electronics 11 (2022)

    Google Scholar 

  13. Bobulski, J., Kubanek, M.: Vehicle for plastic garbage gathering. In: International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021 (2021)

    Google Scholar 

  14. Bobulski, J., Kubanek, M.: A method of cleaning data from IoT devices in big data systems. In: Proceedings of the 2022 IEEE International Conference on Big Data, Big Data, pp. 6596–6598 (2022)

    Google Scholar 

  15. Zeghida, H., Boulaiche, M., Chikh, R.: Securing MQTT protocol for IoT environment using IDS based on ensemble learning. Int. J. Inf. Secur. 22, 1–12 (2023)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Janusz Bobulski .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bobulski, J., Szymoniak, S., Pasternak, K. (2023). Air Pollution Monitoring and Information Distribution System. In: Burduk, R., Choraś, M., Kozik, R., Ksieniewicz, P., Marciniak, T., Trajdos, P. (eds) Progress on Pattern Classification, Image Processing and Communications. CORES IP&C 2023 2023. Lecture Notes in Networks and Systems, vol 766. Springer, Cham. https://doi.org/10.1007/978-3-031-41630-9_18

Download citation

Publish with us

Policies and ethics