Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/220180
Title: DronE-Nose: drone-embedded measurement platform for odour monitoring
Author: Alonso Valdesueiro, Javier
Marco Colás, Santiago
Gutiérrez Gálvez, Agustín
Keywords: Aprenentatge automàtic
Sistemes electrònics
Nas
Machine learning
Electronic systems
Nose
Issue Date: 18-Jun-2024
Abstract: Electronic noses have improved in terms of reliability in the last two decades. Their design has allowed for model training and validation for predicting odour emissions and classifying odour sources. In the last few years, interest has turned to designing e-noses capable of flying in drones. Fast 3D mapping of areas where odour might become a problem, such as Wastewater Treatment Plants, Compost Plants, and Refineries, has been the main target of some recent studies. Here, a fully functional design of a drone-embedded, E-Nosebased measurement platform is presented. The design of its ENose and its fast-sampling frequency will allow for fast tracking of plumes and fast 3D odour mapping. In this contribution, a description of the system is provided in addition to preliminary measurements in the laboratory characterizing the fast response of the E-Nose to an odour stimulus.
Note: Versió postprint del document publicat a: https://doi.org/10.1109/isoen61239.2024.10556083
It is part of: Comunicació a: 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), Intenational Society for Olfaction and Chemical Sensing (ISOCS), Grapevine, EEUU, 12-15 maig 2024, p. 1-3
URI: https://hdl.handle.net/2445/220180
Related resource: https://doi.org/10.1109/isoen61239.2024.10556083
Appears in Collections:Comunicacions a congressos (Institut de Bioenginyeria de Catalunya (IBEC))
Comunicacions a congressos (Enginyeria Electrònica i Biomèdica)

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