TY - JOUR
T1 - FireNose on Mobile Robot in Harsh Environments
AU - Xing, Yuxin
AU - Vincent, Timothy A.
AU - Fan, Han
AU - Schaffernicht, Erik
AU - Hernandez Bennetts, Victor
AU - Lilienthal, Achim J.
AU - Cole, Marina
AU - Gardner, Julian W.
N1 - Publisher Copyright:
© 2001-2012 IEEE.
PY - 2019/12/15
Y1 - 2019/12/15
N2 - 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.
AB - 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.
KW - FireNose
KW - MOX sensor
KW - gas map
KW - harsh environment
KW - mobile robot
UR - http://www.scopus.com/inward/record.url?scp=85076340302&partnerID=8YFLogxK
U2 - 10.1109/JSEN.2019.2939039
DO - 10.1109/JSEN.2019.2939039
M3 - Article
AN - SCOPUS:85076340302
SN - 1530-437X
VL - 19
SP - 12418
EP - 12431
JO - IEEE Sensors Journal
JF - IEEE Sensors Journal
IS - 24
M1 - 8822727
ER -