Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak

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Gas leaks in Lima and Ica (Peru) increase every year, causing accidents and irreparable damage to the population. In this article, a controlled leak was produced using a two-burner kitchen and an array of MQ-6 sensors positioned at different angles (45°, 0° and 30°) with respect to the kitchen. The...

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Detalles Bibliográficos
Autores: Bueno Vera, Alejandro, Luis Ortiz, Gianfranco, Taquía Gutiérrez, José Antonio
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad de Lima
Repositorio:Revistas - Universidad de Lima
Lenguaje:español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/6112
Enlace del recurso:https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112
Nivel de acceso:acceso abierto
Materia:Arduino
Matlab
machine learning
MQ-6
LPG
gas detection
GLP
detección de gas
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spelling Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leakInfluencia de la posición del sensor MQ-6 y el tiempo transcurrido en la detección de concentración de GLP en una fuga domésticaBueno Vera, AlejandroLuis Ortiz, Gianfranco Taquía Gutiérrez, José AntonioBueno Vera, Alejandro Luis Ortiz, Gianfranco Taquía Gutiérrez, José AntonioArduinoMatlabmachine learningMQ-6LPGgas detectionArduinoMatlabmachine learningMQ-6GLPdetección de gasGas leaks in Lima and Ica (Peru) increase every year, causing accidents and irreparable damage to the population. In this article, a controlled leak was produced using a two-burner kitchen and an array of MQ-6 sensors positioned at different angles (45°, 0° and 30°) with respect to the kitchen. The results show that, if the kitchen is in a high position (87 cm), the detected concentration is lower, but the detection is faster (6,419 s) if the arrangement is located 50 cm from the origin of the leak. The detection time is between 13,515 s and 21,740 s and the maximum concentration detected is 98 ppm. The best adapted learning model is Support Vector Machine, with an RMSE of 4,61 ppm. It is concluded that the best position for gas detection was at a height of 47 cm above the ground, at 50 cm from the sensor and at an angle of 0°. The detection time is 13,84 s. Finally, it is concluded that 30 seconds of leakage are not enough to reach the harmful limit (147 ppm).Las fugas de gas en Lima e Ica (Perú) aumentan cada año, provocando accidentes y daños irreparables para la población. En esta investigación se produjo una fuga controlada usando una cocina de dos hornillas y un arreglo de sensores MQ-6 dispuestos en distintos ángulos con respecto a la cocina (45°, 0° y 30 °). Se encontró que, si la cocina se ubica en la posición alta (87 cm), la concentración detectada es menor, pero la detección es más rápida (6,419 s) si el arreglo se ubica a 50 cm del origen de la fuga. El tiempo de detección se encuentra entre 13,515 s y 21,740 s y la máxima concentración detectada es de 98 ppm. El modelo de aprendizaje que mejor se adaptó es Support Vector Machine, con un RMSE de 4,61 ppm. Se concluye que la mejor posición para la detección de gas fue a una altura de 47 cm sobre el suelo, a una distancia de 50 cm del sensor y a un ángulo de 0°. El tiempo de detección es de 13,84 s. Por último, se concluye que 30 segundos de fuga no son suficientes para alcanzar el límite dañino (147 ppm).Universidad de Lima2022-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlhttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/611210.26439/ing.ind2022.n43.6112Ingeniería Industrial; No. 43 (2022); 117-136Ingeniería Industrial; Núm. 43 (2022); 117-1362523-63261025-992910.26439/ing.ind2022.n43reponame:Revistas - Universidad de Limainstname:Universidad de Limainstacron:ULIMAspahttps://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112/5894https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112/5911info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/61122024-10-14T17:49:53Z
dc.title.none.fl_str_mv Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
Influencia de la posición del sensor MQ-6 y el tiempo transcurrido en la detección de concentración de GLP en una fuga doméstica
title Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
spellingShingle Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
Bueno Vera, Alejandro
Arduino
Matlab
machine learning
MQ-6
LPG
gas detection
Arduino
Matlab
machine learning
MQ-6
GLP
detección de gas
title_short Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
title_full Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
title_fullStr Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
title_full_unstemmed Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
title_sort Influence of position of mq-6 sensor and elapsed time on the concentration detection of LPG in a domestic leak
dc.creator.none.fl_str_mv Bueno Vera, Alejandro
Luis Ortiz, Gianfranco
Taquía Gutiérrez, José Antonio
Bueno Vera, Alejandro
Luis Ortiz, Gianfranco
Taquía Gutiérrez, José Antonio
author Bueno Vera, Alejandro
author_facet Bueno Vera, Alejandro
Luis Ortiz, Gianfranco
Taquía Gutiérrez, José Antonio
Bueno Vera, Alejandro
author_role author
author2 Luis Ortiz, Gianfranco
Taquía Gutiérrez, José Antonio
Bueno Vera, Alejandro
author2_role author
author
author
dc.subject.none.fl_str_mv Arduino
Matlab
machine learning
MQ-6
LPG
gas detection
Arduino
Matlab
machine learning
MQ-6
GLP
detección de gas
topic Arduino
Matlab
machine learning
MQ-6
LPG
gas detection
Arduino
Matlab
machine learning
MQ-6
GLP
detección de gas
description Gas leaks in Lima and Ica (Peru) increase every year, causing accidents and irreparable damage to the population. In this article, a controlled leak was produced using a two-burner kitchen and an array of MQ-6 sensors positioned at different angles (45°, 0° and 30°) with respect to the kitchen. The results show that, if the kitchen is in a high position (87 cm), the detected concentration is lower, but the detection is faster (6,419 s) if the arrangement is located 50 cm from the origin of the leak. The detection time is between 13,515 s and 21,740 s and the maximum concentration detected is 98 ppm. The best adapted learning model is Support Vector Machine, with an RMSE of 4,61 ppm. It is concluded that the best position for gas detection was at a height of 47 cm above the ground, at 50 cm from the sensor and at an angle of 0°. The detection time is 13,84 s. Finally, it is concluded that 30 seconds of leakage are not enough to reach the harmful limit (147 ppm).
publishDate 2022
dc.date.none.fl_str_mv 2022-12-01
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://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112
10.26439/ing.ind2022.n43.6112
url https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112
identifier_str_mv 10.26439/ing.ind2022.n43.6112
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112/5894
https://revistas.ulima.edu.pe/index.php/Ingenieria_industrial/article/view/6112/5911
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
dc.publisher.none.fl_str_mv Universidad de Lima
publisher.none.fl_str_mv Universidad de Lima
dc.source.none.fl_str_mv Ingeniería Industrial; No. 43 (2022); 117-136
Ingeniería Industrial; Núm. 43 (2022); 117-136
2523-6326
1025-9929
10.26439/ing.ind2022.n43
reponame:Revistas - Universidad de Lima
instname:Universidad de Lima
instacron:ULIMA
instname_str Universidad de Lima
instacron_str ULIMA
institution ULIMA
reponame_str Revistas - Universidad de Lima
collection Revistas - Universidad de Lima
repository.name.fl_str_mv
repository.mail.fl_str_mv
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