Autors: Miletiev, R. G., Iontchev, E. I., Yordanov, R. S.
Title: Multichannel IoT System for Weather and Air Quality Monitoring
Keywords: IoT, air quality, weather monitoring

Abstract: The current paper represents an IoT system, which is capable to read the data from multiple sensors for air quality monitoring such as particulate matter, hydrogen sulfide, sulphur dioxide, carbon monoxide, nitrogen oxides, ozone, etc. Lots of these sensors require additional sensors for environment monitoring such as temperature, air pressure and humidity ones for the calibration purposes. The proposed system supports lots of interfaces to read the sensor measurements such as analog, 4-20mA converter circuits, I2C, PWM, SPI, UART or custom digital communication protocols and send the sensor data to the remote station via Bluetooth or GSM/GPRS network.

References

    Issue

    Proc. 29th National Conference with International Participation "Telecom 2021", October 28 - 29, 2021, pp. 28-31, 2021, Bulgaria, DOI 10.1109/TELECOM53156.2021.9659699

    Цитирания (Citation/s):
    1. Liu Z., Fang Z., Hu Y., A deep learning-based hybrid method for PM2.5 prediction in central and western China, 2025, Scientific Reports, issue 1, vol. 15, DOI 10.1038/s41598-025-95460-6, eissn 20452322 - 2025 - в издания, индексирани в Scopus

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