Autors: Ivanova, D. A., Elenkov, A. S.
Title: Intelligent System for Air Quality Monitoring Assessment using the Raspberry Pi Platform
Keywords: Air quality monitoring, Air quality systems, Barometric pressure, Machine learning models, Measuring temperature, Raspberry Pi Platform

Abstract: In this paper, an intelligent system that uses the Raspberry Pi platform and the machine learning model to predict the values of various pollutants in the air, based on temperature, humidity, and pressure is proposed. Two sensors for measuring temperature, humidity, and barometric pressure are used by the system to collect data for the machine learning model. Two user interfaces are developed to help users in interacting with the model, and to monitor the predicted values. Finally, the results of the proposed air quality system are presented and analyzed and the future work has been outlined

References

    Issue

    International Conference on Information Technologies, InfoTech 2019 - Proceedings, Sts. Constantine and Elena; Bulgaria; 19 September 2019 through 20 September 2019, vol. InfoTech 2019, pp. Article number 8860883, 2019, Bulgaria, IEEE Inc, DOI 10.1109/InfoTech.2019.8860883

    Copyright IEEE Inc

    Цитирания (Citation/s):
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    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus