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Aerial Robot with Electronic Nose for Air Quality Monitoring

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ROBOT2022: Fifth Iberian Robotics Conference (ROBOT 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 590))

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Abstract

This paper presents an air quality measurement system onboard an Aerial robot. Specifically, the system is capable of measuring NO2, CO, O3 and NO pollution levels. Furthermore, it also includes temperature and humidity measurements. An air sampling system has been designed to avoid false readings due to the downwash effect. The air quality measurement system is based on electrochemical sensors. Therefore, it has been previously calibrated in the field using multilinear regression techniques. The data transmission is done wirelessly in real-time via ZigBee. In addition, data is stored locally in case wireless communication is not possible. Finally, a flight test has been performed to verify the correct operation of the system. A stable signal is achieved regardless of the flight of the drone. Besides, it is also possible to detect a NO2 source.

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Authors and Affiliations

  1. Industrial Engineering School, University of Extremadura, 06006, Badajoz, Spain

    Patricia Arroyo, Jaime Gómez-Suárez, José Luis Herrero & Jesús Lozano

Authors
  1. Patricia Arroyo
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  2. Jaime Gómez-Suárez
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  3. José Luis Herrero
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  4. Jesús Lozano
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Corresponding author

Correspondence to Jesús Lozano .

Editor information

Editors and Affiliations

  1. Centro Universitario de la Defensa (CUD), Zaragoza, Spain

    Danilo Tardioli

  2. Grupo de Robótica, Universidad de León, León, Spain

    Vicente Matellán

  3. GRVC Robotics Lab, Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Sevilla, Spain

    Guillermo Heredia

  4. School of Engineering, Polytechnic Institute of Porto, Porto, Portugal

    Manuel F. Silva

  5. Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal

    Lino Marques

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Arroyo, P., Gómez-Suárez, J., Herrero, J.L., Lozano, J. (2023). Aerial Robot with Electronic Nose for Air Quality Monitoring. In: Tardioli, D., Matellán, V., Heredia, G., Silva, M.F., Marques, L. (eds) ROBOT2022: Fifth Iberian Robotics Conference. ROBOT 2022. Lecture Notes in Networks and Systems, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-031-21062-4_8

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  • DOI: https://doi.org/10.1007/978-3-031-21062-4_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21061-7

  • Online ISBN: 978-3-031-21062-4

  • eBook Packages: EngineeringEngineering (R0)

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