Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environmentsShow others and affiliations
2017 (English)In: IEEE SENSORS 2017: Conference Proceedings, New York: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1691-1693Conference paper, Published paper (Refereed)
Abstract [en]
In this work we present a novel multi-sensor unit to detect and discriminate unknown gases in uncontrolled environments. The unit includes three metal oxide (MOX) sensors with CMOS micro heaters, a plasmonic enhanced non-dispersive infra-red (NDIR) sensor, a commercial temperature humidity sensor, and a flow sensor. The proposed sensing unit was evaluated with plumes of gases (propanol, ethanol and acetone) in both, a laboratory setup on a gas testing bench and on-board a mobile robot operating in an indoor workshop. It offers significantly improved performance compared to commercial systems, in terms of power consumption, response time and physical size. We verified the ability to discriminate gases in an unsupervised manner, with data collected on the robot and high accuracy was obtained in the classification of propanol versus acetone (96%), and ethanol versus acetone (90%).
Place, publisher, year, edition, pages
New York: Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 1691-1693
Series
Proceedings of IEEE Sensors, ISSN 1930-0395
Keywords [en]
Gas sensor, mobile robot, MOX, open sampling system, gas discrimination
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-64463DOI: 10.1109/ICSENS.2017.8234440ISI: 000427677500564Scopus ID: 2-s2.0-85044276510ISBN: 978-1-5090-1012-7 (electronic)ISBN: 978-1-5090-1013-4 (print)OAI: oai:DiVA.org:oru-64463DiVA, id: diva2:1176939
Conference
16th IEEE Sensors Conference, Glasgow, Scotland, UK, October 29 - November 1, 2017
Projects
SmokeBot
Funder
EU, Horizon 2020, 6451012018-01-232018-01-232024-01-03Bibliographically approved