Application of an Array of Metal-Oxide Semiconductor Gas Sensors in an Assistant Personal Robot for Early Gas Leak Detection.
assistant personal robot
gas leak detection
gas sensor
metal-oxide semiconductor
mobile robot
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
26 Apr 2019
26 Apr 2019
Historique:
received:
14
02
2019
revised:
15
04
2019
accepted:
23
04
2019
entrez:
28
4
2019
pubmed:
28
4
2019
medline:
28
4
2019
Statut:
epublish
Résumé
This paper proposes the application of a low-cost gas sensor array in an assistant personal robot (APR) in order to extend the capabilities of the mobile robot as an early gas leak detector for safety purposes. The gas sensor array is composed of 16 low-cost metal-oxide (MOX) gas sensors, which are continuously in operation. The mobile robot was modified to keep the gas sensor array always switched on, even in the case of battery recharge. The gas sensor array provides 16 individual gas measurements and one output that is a cumulative summary of all measurements, used as an overall indicator of a gas concentration change. The results of preliminary experiments were used to train a partial least squares discriminant analysis (PLS-DA) classifier with air, ethanol, and acetone as output classes. Then, the mobile robot gas leak detection capabilities were experimentally evaluated in a public facility, by forcing the evaporation of (1) ethanol, (2) acetone, and (3) ethanol and acetone at different locations. The positive results obtained in different operation conditions over the course of one month confirmed the early detection capabilities of the proposed mobile system. For example, the APR was able to detect a gas leak produced inside a closed room from the external corridor due to small leakages under the door induced by the forced ventilation system of the building.
Identifiants
pubmed: 31027330
pii: s19091957
doi: 10.3390/s19091957
pmc: PMC6540054
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Ministerio de Economía y Competitividad
ID : DPI2017-89827-R
Organisme : Ministerio de Economía y Competitividad
ID : BES-2015-071698
Organisme : Ministerio de Economía y Competitividad
ID : TEC2014-59229-R
Organisme : Horizon 2020 Framework Programme
ID : H2020-780262-SHARE4RARE
Organisme : ACCIÒ
ID : INNOTECRD18-1-0054
Références
Sensors (Basel). 2010;10(6):5469-502
pubmed: 22219672
Sensors (Basel). 2010;10(3):2088-106
pubmed: 22294916
Front Neuroeng. 2012 Jan 12;4:20
pubmed: 22319493
Sensors (Basel). 2014 Mar 27;14(4):6045-55
pubmed: 24681671
Sensors (Basel). 2014 Sep 17;14(9):17331-52
pubmed: 25232911
Sensors (Basel). 2014 Oct 16;14(10):19336-53
pubmed: 25325339
Sensors (Basel). 2016 Apr 28;16(5):
pubmed: 27136552
Sensors (Basel). 2016 Oct 10;16(10):
pubmed: 27735857
Sensors (Basel). 2017 Apr 20;17(4):
pubmed: 28425926
Sensors (Basel). 2017 May 14;17(5):
pubmed: 28505108
Sensors (Basel). 2018 Jan 24;18(2):null
pubmed: 29364188
Sensors (Basel). 2018 Jan 25;18(2):null
pubmed: 29370092
Anal Chim Acta. 2018 Jul 12;1013:13-25
pubmed: 29501088
Anal Chim Acta. 2018 Aug 17;1019:49-64
pubmed: 29625684
Sensors (Basel). 2018 Apr 23;18(4):null
pubmed: 29690624
Sensors (Basel). 2018 Jun 01;18(6):null
pubmed: 29865202
Sensors (Basel). 2018 Nov 28;18(12):null
pubmed: 30487414
Sensors (Basel). 2018 Dec 11;18(12):null
pubmed: 30544900
Sensors (Basel). 2019 Jan 24;19(3):null
pubmed: 30682827