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
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

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Auteurs

Jordi Palacín (J)

Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. palacin@diei.udl.cat.

David Martínez (D)

Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. david.martinez@diei.udl.cat.

Eduard Clotet (E)

Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. eclotet@diei.udl.cat.

Tomàs Pallejà (T)

Universitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. tpalleja@diei.udl.cat.

Javier Burgués (J)

Department of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain. jburgues@ibecbarcelona.eu.
Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10⁻12, 08028 Barcelona, Spain. jburgues@ibecbarcelona.eu.

Jordi Fonollosa (J)

Centre de Recerca en Enginyeria Biomèdica, CREB. Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, 08028 Barcelona, Spain. jordi.fonollosa.m@upc.edu.
Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine CIBER-BBN, 28029 Madrid, Spain. jordi.fonollosa.m@upc.edu.
Institut de Recerca Pediàtrica Hospital Sant Joan de Déu, 08950 Esplugues de Llobregat, Spain. jordi.fonollosa.m@upc.edu.

Antonio Pardo (A)

Department of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain. apardo@el.ub.edu.

Santiago Marco (S)

Department of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain. santiago.marco@ub.edu.
Signal and Information Processing for Sensing Systems, Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, Baldiri Reixac 10⁻12, 08028 Barcelona, Spain. santiago.marco@ub.edu.

Classifications MeSH