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Mobile robot multi-sensor unit for unsupervised gas discrimination in uncontrolled environments

Yuxin Xing, Timothy A. Vincent, Marina Cole, Julian W. Gardner, Han Fan, Victor Hernandez Bennetts, Erik Schaffernicht, Achim J. Lilienthal

Year
2017
Citations
20

Abstract

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%).

Keywords

PropanolRobotComputer scienceMOX fuelAcetoneMobile robotMaterials scienceEnvironmental scienceReal-time computingAutomotive engineering

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