Novel Smart Air Quality Monitoring System Based on UAV Quadrotor
Autor(en): | Zareb, M. Bakhti, B. Bouzid, Y. Kadourbenkada, H. Bouzgou, K. Nouibat, W. |
Herausgeber: | Bououden, S. Chadli, M. Ziani, S. Zelinka, I. |
Stichwörter: | Air quality; Air quality monitoring; Antennas; AQI; AQM; Automobile electronic equipment; Costs; Drones; Electronic systems; Experiment tests; Intelligent systems; IoT; Low costs; Low-cost sensors; Path planning; Quad rotors; Quadrotor; Sensing unit; Smart city; Smart city, Air quality monitoring; Smart community, Monitoring; Smart risk; UAV | Erscheinungsdatum: | 2021 | Herausgeber: | Springer Science and Business Media Deutschland GmbH | Journal: | Lecture Notes in Electrical Engineering | Volumen: | 682 | Startseite: | 441 | Seitenende: | 454 | Zusammenfassung: | In tomorrow's society called Smart community, the air quality and pollutants will take the attention of researchers and leaders to develop intelligent systems to better protect tomorrow's citizens from the risks of Smart Risk that can take place in Smart City. Also, Unmanned Aerial Vehicles (UAVs) due to their flexibility, mobility in 3d and ability to carry air low-cost sensing units have become a cheap alternative to monitor pollution values in a given area. However, enough still needs to be learned as these types of studies are expected to increase in the future years. In this paper, we propose an electronic system based on low-cost sensors designed for air quality monitoring. This system is embedded in a quadrotor type UAV in which, the mobility of the quadrotor is controlled with an autopilot. Experiment tests are made on the campus of Mascara University, where the obtained results have proved the effectiveness of the proposed UAV-based air quality monitoring system. © 2021, Springer Nature Singapore Pte Ltd. |
Beschreibung: | Conference of 4th International Conference on Electrical Engineering and Control Applications, ICEECA 2019 ; Conference Date: 17 December 2019 Through 19 December 2019; Conference Code:249589 |
ISBN: | 9789811564024 | ISSN: | 18761100 | DOI: | 10.1007/978-981-15-6403-1_30 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092730714&doi=10.1007%2f978-981-15-6403-1_30&partnerID=40&md5=5ca7db7865e8bcf7777c459c1d7151f0 |
Show full item record