FireNose on Mobile Robot in Harsh Environments

Xing, Yuxin (författare): School of Engineering, University of Warwick, Coventry, UK

Vincent, Timothy A. (författare): School of Engineering, University of Warwick, Coventry, UK

Fan, Han, 1989- (författare): Örebro universitet,Institutionen för naturvetenskap och teknik,AASS MRO Lab

Schaffernicht, Erik, 1980- (författare): Örebro universitet,Institutionen för naturvetenskap och teknik,AASS MRO Lab

Hernandez Bennetts, Victor, 1980- (författare): Örebro universitet,Institutionen för naturvetenskap och teknik,AASS MRO Lab

Lilienthal, Achim J., 1970- (författare): Örebro universitet,Institutionen för naturvetenskap och teknik,AASS MRO Lab

Cole, Marina (författare): School of Engineering, University of Warwick, Coventry, UK

Gardner, Julian W. (författare): School of Engineering, University of Warwick, Coventry, UK

(creator_code:org_t)

IEEE, 2019
2019
Engelska.
Ingår i: IEEE Sensors Journal. - : IEEE. - 1530-437X .- 1558-1748. ; 19:24, s. 12418-12431

Relaterad länk:: https://urn.kb.se/re...; visa fler...; https://doi.org/10.1...; visa färre...

Abstract Ämnesord

Stäng

In this work we present a novel multi-sensor unit, a.k.a. FireNose, to detect and discriminate both known and unknown gases in uncontrolled conditions to aid firefighters under harsh conditions. The unit includes three metal oxide (MOX) gas sensors with CMOS micro heaters, a plasmonic enhanced non-dispersive infrared (NDIR) sensor optimized for the detection of CO2, a commercial temperature humidity sensor, and a flow sensor. We developed custom film coatings for the MOX sensors (SnO2, WO3 and NiO) which greatly improved the gas sensitivity, response time and lifetime of the miniature devices. Our proposed system exhibits promising performance for gas sensing in harsh environments, in terms of power consumption (∼ 35 mW at 350°C per MOX sensor), response time (<10 s), robustness and physical size. The sensing unit was evaluated with plumes of gases in both, a laboratory setup on a gas testing rig and on-board a mobile robot operating indoors. These high sensitivity, high-bandwidth sensors, together with online unsupervised gas discrimination algorithms, are able to detect and generate their spatial distribution maps accordingly. In the robotic experiments, the resulting gas distribution maps corresponded well to the actual location of the sources. Therefore, we verified its ability to differentiate gases and generate gas maps in real-world experiments.

Av författaren/redakt...: Xing, Yuxin; Vincent, Timothy ...; Fan, Han, 1989-; Schaffernicht, E ...; Hernandez Bennet ...; Lilienthal, Achi ...; visa fler...; Cole, Marina; Gardner, Julian ...; visa färre...

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