Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.

Indoor fire detection using gas chemical sensing has been a subject of investigation since the early nineties. This approach leverages the fact that, for certain types of fire, chemical volatiles appear before smoke particles do. Hence, systems based on chemical sensing can provide faster fire alarm...

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Detalles Bibliográficos
Autores: Fonollosa J, Solórzano A, Marco S
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p24438
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24438
Access Level:acceso abierto
Palabra clave:carbon monoxide
fire detection
gas sensor
hydrogen cyanide
machine learning
pattern recognition
sensor fusion
smoke
standard test fires
toxicants
transducers
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spelling Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.Fonollosa JSolórzano AMarco Scarbon monoxidefire detectiongas sensorhydrogen cyanidemachine learningpattern recognitionsensor fusionsmokestandard test firestoxicantstransducersIndoor fire detection using gas chemical sensing has been a subject of investigation since the early nineties. This approach leverages the fact that, for certain types of fire, chemical volatiles appear before smoke particles do. Hence, systems based on chemical sensing can provide faster fire alarm responses than conventional smoke-based fire detectors. Moreover, since it is known that most casualties in fires are produced from toxic emissions rather than actual burns, gas-based fire detection could provide an additional level of safety to building occupants. In this line, since the 2000s, electrochemical cells for carbon monoxide sensing have been incorporated into fire detectors. Even systems relying exclusively on gas sensors have been explored as fire detectors. However, gas sensors respond to a large variety of volatiles beyond combustion products. As a result, chemical-based fire detectors require multivariate data processing techniques to ensure high sensitivity to fires and false alarm immunity. In this paper, we the survey toxic emissions produced in fires and defined standards for fire detection systems. We also review the state of the art of chemical sensor systems for fire detection and the associated signal and data processing algorithms. We also examine the experimental protocols used for the validation of the different approaches, as the complexity of the test measurements also impacts on reported sensitivity and specificity measures. All in all, further research and extensive test under different fire and nuisance scenarios are still required before gas-based fire detectors penetrate largely into the market. Nevertheless, the use of dynamic features and multivariate models that exploit sensor correlations seems imperative.MDPI2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24438SENSORSISSN: 14248220reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p244382026-05-27T12:37:41Z
dc.title.none.fl_str_mv Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
title Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
spellingShingle Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
Fonollosa J
carbon monoxide
fire detection
gas sensor
hydrogen cyanide
machine learning
pattern recognition
sensor fusion
smoke
standard test fires
toxicants
transducers
title_short Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
title_full Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
title_fullStr Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
title_full_unstemmed Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
title_sort Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review.
dc.creator.none.fl_str_mv Fonollosa J
Solórzano A
Marco S
author Fonollosa J
author_facet Fonollosa J
Solórzano A
Marco S
author_role author
author2 Solórzano A
Marco S
author2_role author
author
dc.subject.none.fl_str_mv carbon monoxide
fire detection
gas sensor
hydrogen cyanide
machine learning
pattern recognition
sensor fusion
smoke
standard test fires
toxicants
transducers
topic carbon monoxide
fire detection
gas sensor
hydrogen cyanide
machine learning
pattern recognition
sensor fusion
smoke
standard test fires
toxicants
transducers
description Indoor fire detection using gas chemical sensing has been a subject of investigation since the early nineties. This approach leverages the fact that, for certain types of fire, chemical volatiles appear before smoke particles do. Hence, systems based on chemical sensing can provide faster fire alarm responses than conventional smoke-based fire detectors. Moreover, since it is known that most casualties in fires are produced from toxic emissions rather than actual burns, gas-based fire detection could provide an additional level of safety to building occupants. In this line, since the 2000s, electrochemical cells for carbon monoxide sensing have been incorporated into fire detectors. Even systems relying exclusively on gas sensors have been explored as fire detectors. However, gas sensors respond to a large variety of volatiles beyond combustion products. As a result, chemical-based fire detectors require multivariate data processing techniques to ensure high sensitivity to fires and false alarm immunity. In this paper, we the survey toxic emissions produced in fires and defined standards for fire detection systems. We also review the state of the art of chemical sensor systems for fire detection and the associated signal and data processing algorithms. We also examine the experimental protocols used for the validation of the different approaches, as the complexity of the test measurements also impacts on reported sensitivity and specificity measures. All in all, further research and extensive test under different fire and nuisance scenarios are still required before gas-based fire detectors penetrate largely into the market. Nevertheless, the use of dynamic features and multivariate models that exploit sensor correlations seems imperative.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24438
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=24438
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv SENSORS
ISSN: 14248220
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
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