{"id":{"repo_id":"lima","oai_identifier":"oai:repositorio.ulima.edu.pe:20.500.12724/19409"},"canonical_url":"https://search.dev.ndltd.org/etd/lima/oai:repositorio.ulima.edu.pe:20.500.12724/19409","repository":{"repo_id":"lima","name":"Universidad de Lima","base_url":"https://repositorio.ulima.edu.pe/oai/request"},"display":{"title":"Influencia de la posición del sensor MQ-6 y el tiempo transcurrido en la detección de concentración de GLP en una fuga doméstica","abstract":"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 Suport 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 harmfull limit (147 ppm).","abstract_html":"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 Suport 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 harmfull limit (147 ppm).","abstract_has_math":false,"creators":["Bueno Vera, Alejandro Ivan","Luis Ortiz, Gianfranco"],"institution":"Universidad de Lima","degree_name":"Ingeniero Industrial","degree_level":"Título Profesional","degree_discipline":"Ingeniería Industrial","degree_department":null,"school":null,"contributors":[],"advisors":["Taquía Gutiérrez, José Antonio"],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023","date_published":"2023","updated_at":"2026-07-24T02:49:41Z","subjects":["Sensors","Liquefied petroleum gas","Sensores","Gas licuado de petróleo"],"languages":["spa"],"rights":["info:eu-repo/semantics/openAccess"],"rights_urls":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.12724/19409","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Taquía Gutiérrez, José Antonio"]},{"key":"dc:creator","label":"Author","values":["Bueno Vera, Alejandro Ivan","Luis Ortiz, Gianfranco"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2023-11-28T16:35:05Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2023-11-28T16:35:05Z"]},{"key":"dc:date.issued","label":"Date","values":["2023"]},{"key":"dc:publisher","label":"Institution","values":["Universidad de Lima"]},{"key":"dc:type","label":"Dc Type","values":["info:eu-repo/semantics/bachelorThesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Ingeniería Industrial"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Título Profesional"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ingeniero Industrial"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Universidad de Lima. Facultad de Ingeniería y Arquitectura"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Sensors","Liquefied petroleum gas","Sensores","Gas licuado de petróleo"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["spa"]},{"key":"dc:rights","label":"Dc Rights","values":["info:eu-repo/semantics/openAccess"]},{"key":"dc:rights.uri","label":"Rights URI","values":["https://creativecommons.org/licenses/by-nc-sa/4.0/"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/20.500.12724/19409"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["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 Suport 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 harmfull 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 (87cm), la concentración detectada es menor, pero la detección es más rápidas (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 98ppm. 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)."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:source","label":"Dc Source","values":["Repositorio Institucional - Ulima","Universidad de Lima"]},{"key":"dc:title","label":"Title","values":["Influencia de la posición del sensor MQ-6 y el tiempo transcurrido en la detección de concentración de GLP en una fuga doméstica"]}]}],"canonical_facts":{"dc:contributor.advisor":["Taquía Gutiérrez, José Antonio"],"dc:creator":["Bueno Vera, Alejandro Ivan","Luis Ortiz, Gianfranco"],"dc:date.accessioned":["2023-11-28T16:35:05Z"],"dc:date.available":["2023-11-28T16:35:05Z"],"dc:date.issued":["2023"],"dc:description.abstract":["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 Suport 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 harmfull 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 (87cm), la concentración detectada es menor, pero la detección es más rápidas (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 98ppm. 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)."],"dc:format":["application/pdf"],"dc:identifier.uri":["https://hdl.handle.net/20.500.12724/19409"],"dc:language.iso":["spa"],"dc:publisher":["Universidad de Lima"],"dc:rights":["info:eu-repo/semantics/openAccess"],"dc:rights.uri":["https://creativecommons.org/licenses/by-nc-sa/4.0/"],"dc:source":["Repositorio Institucional - Ulima","Universidad de Lima"],"dc:subject":["Sensors","Liquefied petroleum gas","Sensores","Gas licuado de petróleo"],"dc:title":["Influencia de la posición del sensor MQ-6 y el tiempo transcurrido en la detección de concentración de GLP en una fuga doméstica"],"dc:type":["info:eu-repo/semantics/bachelorThesis"],"thesis:degree_discipline":["Ingeniería Industrial"],"thesis:degree_level":["Título Profesional"],"thesis:degree_name":["Ingeniero Industrial"],"thesis:institution_name":["Universidad de Lima. Facultad de Ingeniería y Arquitectura"]},"updated_at":"2026-07-24T02:49:41Z"}