Indoor air quality monitoring using flying nanobots: Design and experimental study

  • In this paper, we introduce a nano aerial robot swarm for Indoor Air Quality (IAQ) monitoring applications such as occupational health and safety of (industrial) workplaces. The robotic swarm is composed of nano Unmanned Aerial Vehicles (UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight Metal Oxide (MOX) gas sensors for measuring the Total Volatile Organic Compound (TVOC), which is a measure for IAQ. An indoor localization and positioning system is used to estimate the absolute 3D position of the swarm similar to GPS. A test scenario was built up to validate and optimize the swarm for the intended applications. Besides calibration of the IAQ sensors, we performed experiments to investigate the influence of the rotor downwash on the gas measurements at different altitudes and compared them with stationary measurements. Moreover, we did a first evaluation of the gas distribution mapping performance. Based on this novel IAQ monitoring concept, new algorithms in theIn this paper, we introduce a nano aerial robot swarm for Indoor Air Quality (IAQ) monitoring applications such as occupational health and safety of (industrial) workplaces. The robotic swarm is composed of nano Unmanned Aerial Vehicles (UAVs), based on the Crazyflie 2.0 quadrocopter, and small lightweight Metal Oxide (MOX) gas sensors for measuring the Total Volatile Organic Compound (TVOC), which is a measure for IAQ. An indoor localization and positioning system is used to estimate the absolute 3D position of the swarm similar to GPS. A test scenario was built up to validate and optimize the swarm for the intended applications. Besides calibration of the IAQ sensors, we performed experiments to investigate the influence of the rotor downwash on the gas measurements at different altitudes and compared them with stationary measurements. Moreover, we did a first evaluation of the gas distribution mapping performance. Based on this novel IAQ monitoring concept, new algorithms in the field of Mobile Robot Olfaction (MRO) are planned to be developed exploiting the abilities of an aerial robotic swarm.zeige mehrzeige weniger

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Autoren/innen:Patrick P. Neumann, Paul Hirschberger, Zhandos Baurzhan, Carlo Tiebe, Michael Hofmann, Dino Hüllmann, Matthias Bartholmai
Dokumenttyp:Beitrag zu einem Tagungsband
Veröffentlichungsform:Graue Literatur
Sprache:Englisch
Titel des übergeordneten Werkes (Englisch):2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Jahr der Erstveröffentlichung:2019
Organisationseinheit der BAM:8 Zerstörungsfreie Prüfung
8 Zerstörungsfreie Prüfung / 8.1 Sensorik, mess- und prüftechnische Verfahren
Verlag:IEEE
Erste Seite:1
Letzte Seite:3
DDC-Klassifikation:Naturwissenschaften und Mathematik / Chemie / Analytische Chemie
Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurbau
Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Sanitär- und Kommunaltechnik; Umwelttechnik
Freie Schlagwörter:Aerial robot olfaction; Gas detector; Indoor air quality; Nano aerial robot; Swarm
Themenfelder/Aktivitätsfelder der BAM:Infrastruktur
Infrastruktur / Transport und Lagerung von Gefahrstoffen und -gütern
Umwelt
Umwelt / Umweltschadstoffe
Analytical Sciences
Analytical Sciences / Sensorik
Veranstaltung:2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)
Veranstaltungsort:Fukuoka, Japan
Beginndatum der Veranstaltung:26.05.2019
Enddatum der Veranstaltung:29.05.2019
DOI:https://doi.org/10.1109/ISOEN.2019.8823496
ISBN:978-1-5386-8327-9
ISBN:978-1-5386-8328-6
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:11.09.2019
Referierte Publikation:Nein