dc.contributor.author | Schmuker, Michael | |
dc.contributor.author | Bahr, Viktor | |
dc.contributor.author | Huerta, Ramón | |
dc.date.accessioned | 2017-01-16T18:15:10Z | |
dc.date.available | 2017-01-16T18:15:10Z | |
dc.date.issued | 2016-11-01 | |
dc.identifier.citation | Schmuker , M , Bahr , V & Huerta , R 2016 , ' Exploiting plume structure to decode gas source distance using metal-oxide gas sensors ' , Sensors and Actuators B: Chemical , vol. 235 , pp. 636-646 . https://doi.org/10.1016/j.snb.2016.05.098 | |
dc.identifier.issn | 0925-4005 | |
dc.identifier.uri | http://hdl.handle.net/2299/17523 | |
dc.description | This document is the Accepted Manuscript version of the following article: Michael Schmuker, Viktor Bahr, & Ramon Huerta, ‘Exploiting plume structure to decode gas source distance using metal-oxide gas sensors’, Sensors and Actuators B: Chemical, Vol. 235: 636-646, November 2016, doi: http://dx.doi.org/10.1016/j.snb.2016.05.098. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/. Published by Elsevier. | |
dc.description.abstract | Estimating the distance of a gas source is important in many applications of chemical sensing, like e.g. environmental monitoring, or chemically-guided robot navigation. If an estimation of the gas concentration at the source is available, source proximity can be estimated from the time-averaged gas concentration at the sensing site. However, in turbulent environments, where fast concentration fluctuations dominate, comparably long measurements are required to obtain a reliable estimate. A lesser known feature that can be exploited for distance estimation in a turbulent environment lies in the relationship between source proximity and the temporal variance of the local gas concentration - the farther the source, the more intermittent are gas encounters. However, exploiting this feature requires measurement of changes in gas concentration on a comparably fast time scale, that have up to now only been achieved using photo-ionisation detectors. Here, we demonstrate that by appropriate signal processing, off-the-shelf metal-oxide sensors are capable of extracting rapidly fluctuating features of gas plumes that strongly correlate with source distance. We show that with a straightforward analysis method it is possible to decode events of large, consistent changes in the measured signal, so-called 'bouts'. The frequency of these bouts predicts the distance of a gas source in wind-tunnel experiments with good accuracy. In addition, we found that the variance of bout counts indicates cross-wind offset to the centreline of the gas plume. Our results offer an alternative approach to estimating gas source proximity that is largely independent of gas concentration, using off-the-shelf metal-oxide sensors. The analysis method we employ demands very few computational resources and is suitable for low-power microcontrollers. | en |
dc.format.extent | 11 | |
dc.format.extent | 4027930 | |
dc.language.iso | eng | |
dc.relation.ispartof | Sensors and Actuators B: Chemical | |
dc.subject | Gas plumes | |
dc.subject | Metal-oxide sensors | |
dc.subject | Signal processing | |
dc.subject | Source proximity estimation | |
dc.subject | Turbulence | |
dc.title | Exploiting plume structure to decode gas source distance using metal-oxide gas sensors | en |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Biocomputation Research Group | |
dc.description.status | Peer reviewed | |
dc.date.embargoedUntil | 2017-05-19 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=84973530106&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1016/j.snb.2016.05.098 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |