Autors: Nikolova, B. M., Nikolov, G. T., Sirakov A.D.
Title: Cloud-Based System for Air Quality Monitoring
Keywords: air quality index, cloud-based system, digital sensors, internet of things, particulate matters sensors

Abstract: Air quality is fundamental to people's standard of living and health. In recent years, with the development of the Internet of Things concept and of the low cost sensors and microcontrollers, the development a lot of local stations for environmental monitoring has been made possible. This article presents an approach for the design and implementation of a system for monitoring temperature, atmospheric pressure, relative humidity and particulate matter. If more remote sensors modules measuring fine dust particles are placed in different areas of the urban environment, it will be possible to identify the source of pollution.

References

  1. S. Lowther, K. Jones, X. Wang, D. Whyatt, O. Wild, D. Booker, "Particulate matter measurement indoors: A review of metrics, sensors, needs and applications", Environ. Sci. Technol., American Chemical Society, doi:10.1021/acs.est.9b03425, 12 Sep 2019.
  2. J. Fraden, Handbook of Modern Sensors, Physics, Design, and Applications, 4 ed., New York: Springer, 6 ed., 2016.
  3. S. Kiresova, M. Guzan, "Measurement of particulate matter: Principles and options of measurement at present", Acta Electrotechnica et Informatica, Vol. 22, No. 2, pp 8-18, doi:10.2478/aei-2022-0007, 2022.
  4. SHARP Corporation, Compact Optical Dust Sensor GP2Y1010AU0F, Data sheet, Sheet No.: E4-A01501EN, Dec. 1, 2006.
  5. S. Amaral, J. de Carvalho, M. Costa, C. Pinheiro, "An Overview of Particulate Matter Measurement Instruments", Atmosphere, vol. 6, pp 1327-1345; doi:10.3390/atmos6091327, 2015.
  6. M. Todorov, B. Nikolova, G. Nikolov, "Cloud-managed ZigBee Sensor Networks", International Scientific Conference Electronics, ISBN:978-1-5090-2882-5, pp. 143-146, Sozopol, 2016.
  7. ArduinoR UNO R4 WiFi, Product Reference Manual, SKU: ABX00087, Modified: 11/07/2024.
  8. D. Mintz, "Technical Assistance Document for the Reporting of Daily Air Quality - the Air Quality Index (AQI)", U.S. Environmental Protection Agency, EPA-454/B-16-002, May 2016.
  9. A. Shihab, "Assessment of Air Quality through Multiple Air Quality Index Models - A Comparative Study", Journal of Ecological Engineering, Volume 24, Issue 4, pp 110-116, DOI: Https://doi.org/10.12911/22998993/159398, 2023.

Issue

2024 33rd International Scientific Conference Electronics, ET 2024 - Proceedings, pp. 6, 2024, , https://doi.org/10.1109/ET63133.2024.10721539

Цитирания (Citation/s):
1. Zhukabayeva T., Zholshiyeva L., Mardenov E., Karabayev N., Methodology for Detection and Identification of Wormhole Attacks in Wireless Sensor Networks for Cyber-Physical Systems, 2025, IEEE Symposium on Computers and Informatics Isci, issue 2025, pp. 28-34, DOI 10.1109/ISCI65687.2025.11167670, issn 29966760, eissn 29966752 - 2026 - в издания, индексирани в Scopus

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus