Evidence map›Paper›PMID 31027330›Full record

ArticleSensors (Basel, Switzerland)2019

Application of an Array of Metal-Oxide Semiconductor Gas Sensors in an Assistant Personal Robot for Early Gas Leak Detection.

Jordi Palacín, David Martínez, Eduard Clotet, Tomàs Pallejà, Javier Burgués, Jordi Fonollosa, Antonio Pardo, Santiago Marco

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jordi PalacínUniversitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. palacin@diei.udl.cat.ORCID 0000-0001-8210-3262
David MartínezUniversitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. david.martinez@diei.udl.cat.
Eduard ClotetUniversitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. eclotet@diei.udl.cat.
Tomàs PallejàUniversitat de Lleida, Jaume II, 69, 25001 Lleida, Spain. tpalleja@diei.udl.cat.
Javier BurguésDepartment of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain. jburgues@ibecbarcelona.eu.ORCID 0000-0002-7327-6396
Jordi FonollosaCentre 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.ORCID 0000-0001-8854-8588
Antonio PardoDepartment of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain. apardo@el.ub.edu.ORCID 0000-0003-4369-544X
Santiago MarcoDepartment of Electronics and Biomedical Engineering, Universitat de Barcelona, Marti i Franqués 1, 08028 Barcelona, Spain. santiago.marco@ub.edu.

Funding

ACCIÒ INNOTECRD18-1-0054Horizon 2020 Framework Programme H2020-780262-SHARE4RAREMinisterio de Economía y Competitividad BES-2015-071698Ministerio de Economía y Competitividad DPI2017-89827-RMinisterio de Economía y Competitividad TEC2014-59229-R
6 · The paper itself

Abstract

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.

Indexed as

assistant personal robotgas leak detectiongas sensormetal-oxide semiconductormobile robot

Identifiers

PMID31027330
PMCPMC6540054

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.