Design and flight testing of an integrated solar powered UAV and WSN for remote gas sensing

Malaver Rojas, Alexander Jairo, Gonzalez, Luis Felipe, Motta, Nunzio, & Villa, Tommaso Francesco (2015) Design and flight testing of an integrated solar powered UAV and WSN for remote gas sensing. In IEEE Aerospace Conference 2015, 7-14 March 2015, Big Sky, Montana.

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This paper describes a generic and integrated solar powered remote Unmanned Air Vehicles (UAV) and Wireless Sensor Network (WSN) gas sensing system. The system uses a generic gas sensing system for CH4 and CO2 concentrations using metal oxide (MoX) and non-dispersive infrared sensors, and a new solar cell encapsulation method to power the UASs as well as a data management platform to store, analyse and share the information with operators and external users. The system was successfully field tested at ground and low altitudes, collecting, storing and transmitting data in real time to a central node for analysis and 3D mapping. The system can be used in a wide range of outdoor applications, especially in agriculture, bushfires, mining studies, opening the way to a ubiquitous low cost environmental monitoring. A video of the bench and flight test performed can be seen in the following link

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ID Code: 65704
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Solar UAV, WSN, gas sensing, nono-sensors, Unmanned Aerical Vehicles
DOI: 10.1109/AERO.2015.7119209
ISBN: 9780987086334
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > Schools > School of Electrical Engineering & Computer Science
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 IEEE
Deposited On: 28 Jan 2015 02:05
Last Modified: 17 Jun 2015 15:39

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