Fuzzy modeling applied to the welfare of poultry farms workers
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/38922 |
Resumo: | The objective of this work was to develop a fuzzy model to classify the working environment in poultry farms. For this purpose, air temperature, relative humidity, noise level, and ammonia concentration were measured in a broiler house with lateral positive-pressure ventilation. Work days consisting of 8 hours were simulated and the results provide support for classifying the level of comfort under different thermal, noise and gas concentration conditions. Therefore, three input variables were used: temperature-humidity index (THI), noise level (dB) and ammonia concentration (ppm), and the output variable was the work environment classification (WEC). Sixty rules were defined based on combinations of THI, noise level and ammonia concentration and each result is a function of the combination of input data. Experimental data was used to test the application of the proposed model. The results indicate that the proposed methodology is promising for determining the worker well-being level, and as an aid in making decisions regarding the control of the work environment in order to reduce or eliminate sources considered stressful to humans. |
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Fuzzy modeling applied to the welfare of poultry farms workersModelage fuzzy aplicado al bien estar de trabajadores de granjas avícolasMathematical modelingHuman environmentPoultry houseThermal comfort indexModelamiento matemáticoConfort térmico humanoGalpón avícolaÍndices de confort térmicoThe objective of this work was to develop a fuzzy model to classify the working environment in poultry farms. For this purpose, air temperature, relative humidity, noise level, and ammonia concentration were measured in a broiler house with lateral positive-pressure ventilation. Work days consisting of 8 hours were simulated and the results provide support for classifying the level of comfort under different thermal, noise and gas concentration conditions. Therefore, three input variables were used: temperature-humidity index (THI), noise level (dB) and ammonia concentration (ppm), and the output variable was the work environment classification (WEC). Sixty rules were defined based on combinations of THI, noise level and ammonia concentration and each result is a function of the combination of input data. Experimental data was used to test the application of the proposed model. The results indicate that the proposed methodology is promising for determining the worker well-being level, and as an aid in making decisions regarding the control of the work environment in order to reduce or eliminate sources considered stressful to humans.El objetivo de este trabajo fue desarrollar un modelo fuzzy para evaluar y clasificar el ambiente de trabajo de las granjas de pollos de engorde. Para ello datos de temperatura del aire, humedad relativa, nivel de ruido y la concentración de amoníaco fueron colectados en un galpón avícola con ventilación positiva lateral. Un esquema de trabajo de ocho horas al día fue simulado y los resultados dieron un soporte para la clasificación del nivel de confort bajo las diferentes condiciones térmicas, acústicas y de concentración de gas. Por lo tanto, fueron utilizadas tres variables de entrada, índice de temperatura y humedad (ITU), nivel de ruido (dB) y concentración de amoníaco (ppm), y la de salida fue la clasificación del entorno de trabajo (CET). Fueron definidas sesenta (60) reglas con base en las combinaciones de ITU, nivel del ruido y concentración de amoníaco, donde cada resultado es una función de combinación de los datos de entrada. Los datos de campo fueron usados para validar el sistema propuesto. Los resultados indican que la metodología propuesta es viable para determinar el nivel de bienestar de los trabajadores pudiendo ayudar en la toma de decisiones relacionadas con el control climático y se puede utilizar con el fin de reducir o eliminar las fuentes que son consideradas como causantes de estrés en el hombre.Universidad Nacional de Colombia2020-02-06T13:48:39Z2020-02-06T13:48:39Z2012-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSCHIASSI, L. et al. Fuzzy modeling applied to the welfare of poultry farms workers. Dyna, Medellin, v. 79, n. 174, p. 127-135, Aug. 2012.http://repositorio.ufla.br/jspui/handle/1/38922Revista Dynareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessSchiassi, LeonardoYanagi Junior, TadayukiDamasceno, Flávio AlvesSaraz, Jairo Alexander OsorioMachado, Neilton Silvaeng2023-05-02T19:06:39Zoai:localhost:1/38922Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-02T19:06:39Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Fuzzy modeling applied to the welfare of poultry farms workers Modelage fuzzy aplicado al bien estar de trabajadores de granjas avícolas |
title |
Fuzzy modeling applied to the welfare of poultry farms workers |
spellingShingle |
Fuzzy modeling applied to the welfare of poultry farms workers Schiassi, Leonardo Mathematical modeling Human environment Poultry house Thermal comfort index Modelamiento matemático Confort térmico humano Galpón avícola Índices de confort térmico |
title_short |
Fuzzy modeling applied to the welfare of poultry farms workers |
title_full |
Fuzzy modeling applied to the welfare of poultry farms workers |
title_fullStr |
Fuzzy modeling applied to the welfare of poultry farms workers |
title_full_unstemmed |
Fuzzy modeling applied to the welfare of poultry farms workers |
title_sort |
Fuzzy modeling applied to the welfare of poultry farms workers |
author |
Schiassi, Leonardo |
author_facet |
Schiassi, Leonardo Yanagi Junior, Tadayuki Damasceno, Flávio Alves Saraz, Jairo Alexander Osorio Machado, Neilton Silva |
author_role |
author |
author2 |
Yanagi Junior, Tadayuki Damasceno, Flávio Alves Saraz, Jairo Alexander Osorio Machado, Neilton Silva |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Schiassi, Leonardo Yanagi Junior, Tadayuki Damasceno, Flávio Alves Saraz, Jairo Alexander Osorio Machado, Neilton Silva |
dc.subject.por.fl_str_mv |
Mathematical modeling Human environment Poultry house Thermal comfort index Modelamiento matemático Confort térmico humano Galpón avícola Índices de confort térmico |
topic |
Mathematical modeling Human environment Poultry house Thermal comfort index Modelamiento matemático Confort térmico humano Galpón avícola Índices de confort térmico |
description |
The objective of this work was to develop a fuzzy model to classify the working environment in poultry farms. For this purpose, air temperature, relative humidity, noise level, and ammonia concentration were measured in a broiler house with lateral positive-pressure ventilation. Work days consisting of 8 hours were simulated and the results provide support for classifying the level of comfort under different thermal, noise and gas concentration conditions. Therefore, three input variables were used: temperature-humidity index (THI), noise level (dB) and ammonia concentration (ppm), and the output variable was the work environment classification (WEC). Sixty rules were defined based on combinations of THI, noise level and ammonia concentration and each result is a function of the combination of input data. Experimental data was used to test the application of the proposed model. The results indicate that the proposed methodology is promising for determining the worker well-being level, and as an aid in making decisions regarding the control of the work environment in order to reduce or eliminate sources considered stressful to humans. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-08 2020-02-06T13:48:39Z 2020-02-06T13:48:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SCHIASSI, L. et al. Fuzzy modeling applied to the welfare of poultry farms workers. Dyna, Medellin, v. 79, n. 174, p. 127-135, Aug. 2012. http://repositorio.ufla.br/jspui/handle/1/38922 |
identifier_str_mv |
SCHIASSI, L. et al. Fuzzy modeling applied to the welfare of poultry farms workers. Dyna, Medellin, v. 79, n. 174, p. 127-135, Aug. 2012. |
url |
http://repositorio.ufla.br/jspui/handle/1/38922 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad Nacional de Colombia |
publisher.none.fl_str_mv |
Universidad Nacional de Colombia |
dc.source.none.fl_str_mv |
Revista Dyna reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835149051625472 |