Real-Time Air Quality Monitoring Using Sensors to Prevent Severe Acute Respiratory Syndromes (SARS)

Resumo


This work presents the development, calibration, and validation of a device capable of actively capturing data related to the measurement of air quality for future prevention. This data can then be compared with pandemic/endemic data indices by location using PM2.5, temperature, and humidity sensors, along with a microcontroller capable of sending all necessary information to a database. As it is a project that needs a large scale so that it is possible to capture air quality indices in as many points as possible in order to obtain data with very high granularity, the development is always being thought of, always viewing the cost-effectiveness of the components used for replicating is possible, and also the development is part of a larger project, which should provide the community with a complete platform capable of providing real-time air quality data.
Palavras-chave: COVID-19, Air Quality Index, Embedded System, Particulate Matter

Referências

N. S. M. Nor, C. W. Yip, N. Ibrahim, M. H. Jaafar, Z. Z. Rashid, N. Mustafa, H. H. A. Hamid, K. Chandru, M. T. Latif, P. E. Saw, et al., "Particulate matter (pm2. 5) as a potential sars-cov-2 carrier," Scientific Reports, vol. 11, no. 1, pp. 1-6, 2021.

P. Piscitelli, A. Miani, L. Setti, G. De Gennaro, X. Rodo, B. Artinano, E. Vara, L. Rancan, J. Arias, F. Passarini, et al., "The role of outdoor and indoor air quality in the spread of sars-cov-2: Overview and recommendations by the research group on covid-19 and particulate matter (rescop commission)," Environmental Research, p. 113038, 2022.

WHO, WHO Guidelines for Indoor Air Quality: Selected Pollutants. WHO Regional Office for Europe, Copenhagen, Denmark, Oct. 2010.

D. P. Aragão, E. V. Oliveira, A. A. Bezerra, D. H. Dos Santos, A. G. da Silva Junior, I. G. Pereira, P. Piscitelli, A. Miani, C. Distante, J. S. Cuno, et al., "Multivariate data driven prediction of covid-19 dynamics: Towards new results with temperature, humidity and air quality data," Environmental Research, vol. 204, p. 112348, 2022.

D. P. Aragão, E. V. Oliveira, A. A. Bezerra, D. H. dos Santos, A. G. da Silva Junior, I. G. Pereira, P. Piscitelli, A. Miani, C. Distante, J. S. Cuno, A. Conci, and L. M. Gonçalves, "Multivariate data driven prediction of covid-19 dynamics: Towards new results with temperature, humidity and air quality data," Environmental Research, vol. 204, p. 112348, 2022.

I. G. Pereira, A. G. d. S. Junior, D. P. Aragão, E. V. de Oliveira, A. A. Bezerra, F. d. A. Pereira, J. G. F. S. Costa, J. S. Cuno, D. H. dos Santos, J. M. Guerin, A. Conci, E. W. G. Clua, C. Distante, and L. M. G. Gonçalves, Epidemiology Forecasting of COVID-19 Using AI-A Survey, pp. 89-120. Singapore: Springer Singapore, 2022.

R. Saha, S. N. M. A. Hoque, M. M. R. Manu, and A. Hoque, "Monitoring air quality of dhaka using iot: Effects of covid-19," in 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), pp. 715-721, 2021.

B. Park, S. Kim, S. Park, M. Kim, T. Y. Kim, and H. Park, "Development of multi-item air quality monitoring system based on real-time data," Applied Sciences, vol. 11, no. 20, 2021.

K. Zheng, S. Zhao, Z. Yang, X. Xiong, and W. Xiang, "Design and implementation of lpwa-based air quality monitoring system," IEEE Access, vol. 4, pp. 3238-3245, 2016.

S. Metia, H. Nguyen, and Q. Ha, "Iot-enabled wireless sensor networks for air pollution monitoring with extended fractional-order kalman filtering," SENSORS, vol. 11, no. 16, 2021.

A. A. Bezerra, D. H. dos Santos, and L. M. Gonçalves, "Real-time air quality monitoring using optical sensors to prevent severe acute respiratory syndromes," in Latin America Optics And Photonics Conference, (Recife, Brazil), 2022.

J. Saini, M. Dutta, and G. Marques, "Indoor air quality monitoring systems based on internet of things: A systematic review," International Journal of Environmental Research and Public Health, vol. 17, no. 14, 2020.

WAQI, "World's air pollution: Real-time air quality index," página na internet, WAQI, Aug. 2021.

E. USA, "Particulate matter (pm) basics," página na internet, Uniteds States Enviromental Protection Agency, Aug. 2021.

SAMYOUNG, "Dust sensor module dsm501a," página na internet, Samyoung S&C co. Ltd, Aug. 2021.

P. Fermo, B. Artíñano, G. De Gennaro, A. M. Pantaleo, A. Parente, F. Battaglia, E. Colicino, G. Di Tanna, A. Goncalves da Silva Junior, I. G. Pereira, G. S. Garcia, L. M. Garcia Goncalves, V. Comite, and A. Miani, "Improving indoor air quality through an air purifier able to reduce aerosol particulate matter (pm) and volatile organic compounds (vocs): Experimental results," Environmental Research, vol. 197, p. 111131, 2021.
Publicado
24/10/2022
BEZERRA, Arthur Andrade; SANTOS, Davi H. dos; GONÇALVES, Luiz M. G.. Real-Time Air Quality Monitoring Using Sensors to Prevent Severe Acute Respiratory Syndromes (SARS). In: WORKSHOP DE ANÁLISE DE PADRÕES E DADOS DA DINÂMICA DE PANDEMIAS - CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 35. , 2022, Natal/RN. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2022 . p. 159-164. DOI: https://doi.org/10.5753/sibgrapi.est.2022.23281.

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