Autors: Maradzhiev, I. P.
Title: Using ESP32 and Air Quality Sensor in Engineering Student Education
Keywords: air pollution, air quality, ESP32, monitoring, sensor

Abstract: This paper describes the use of an ESP32-based development platform to build a training model for teaching students in a course on sensors and sensing devices. The training model focuses on measuring air quality by considering the concentration of particulate matter ranging from 0.8 microns to 10 microns in size, the concentration of carbon monoxide (CO), methane (CH4), and propane (C3H8). It also measures temperature and relative humidity. The measured data is displayed on a display mounted on the training model and can also be viewed on a WEB page. The sequence algorithm for measurement, communication and data display is described and programmed using Micro Pithon. At the end of the paper, data from real measurements are presented.

References

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Issue

National Conference with International Participation, TELECOM, 2024, , https://doi.org/10.1109/TELECOM63374.2024.10812266

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