Construction of a low-budget portable air dust monitoring system based on a smartphone
Keywords:
пил; оптичний пиломір; аерозолі; ESP32-S; моніторинг повітряAbstract
The presence of dust particles in the air in concentrations exceeding the norm can have a significant negative impact on human health. The task of air quality monitoring is extremely important in the urban environment. The article presents the results of the development of an inexpensive portable wireless system for measuring the density of dust in the air. The device is built on the basis of an optical analog sensor of the density of dust particles Sharp GP2Y1010AU0F. Data collection, linking to current GPS coordinates and control of the monitoring system is carried out using a smartphone. Digitization of the dust sensor signal, their primary processing and wireless communication between the smartphone and the monitoring system is carried out by the ESP32-S microcontroller. The results of testing the system for creating pollution maps in the city of Vinnytsia are demonstrated.
References
Measurement of pm 2.5 Concentrations in indoor air using low-cost sensors and arduino platforms / V. Tasić, M. Jovašević-Stojanović, D. Topalović, M. Davidović. Academy of Sciences, Prague, Czech Republic: COST Association, Avenue Louise 149, 1050 Brussels, Belgium, 2016.
Rumantri R., Khakim M. Y. N., Iskandar I. Design and characterization of low-cost sensors for air quality Monitoring System / Jurnal Pendidikan IPA Indonesia. 2018. Vol. 7, № 3. P. 347–354.
Environmental particulate matter (pm) exposure assessment of construction activities using low-cost pm sensor and latin hypercubic technique / M. Khan, N. Khan, M. J. Skibniewski, C. Park. Sustainability. 2021. Vol. 13, № 14. P. 77–97.
Hyperlocal environmental data with a mobile platform in urban environments / A. Wang, S. Mora, Y. Machida et al. Scientific Data. 2023. Vol. 10, № 1. P. 524.
Agrawaal H., Jones C., Thompson J. E. Personal exposure estimates via portable and wireless sensing and reporting of particulate pollution. International Journal of Environmental Research and Public Health. 2020. Vol. 17, № 3. P. 843.
Thompson J. E. Improved measurement performance for the sharp gp2y1010 dust sensor: reduction of noise. Atmosphere. 2021. Vol. 12, № 6. P. 775.
OkHttp. URL: https://square.github.io/okhttp/ (дата звернення: 29.11.2023).
GraphView. URL: https://github.com/jjoe64/GraphView (дата звернення: 29.11.2023).
