Positioning of sensors for control of ventilation systems in broiler houses: a case study
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | https://www.revistas.usp.br/sa/article/view/130929 |
Resumo: | Ventilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS+ and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses. |
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Positioning of sensors for control of ventilation systems in broiler houses: a case studybroiler farmsenvironmental controlgeostatisticsordinary krigingwelfareVentilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS+ and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses.Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz2017-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/sa/article/view/13092910.1590/1678-992x-2015-0369Scientia Agricola; v. 74 n. 2 (2017); 101-109Scientia Agricola; Vol. 74 Núm. 2 (2017); 101-109Scientia Agricola; Vol. 74 No. 2 (2017); 101-1091678-992X0103-9016reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USPenghttps://www.revistas.usp.br/sa/article/view/130929/127388Copyright (c) 2017 Scientia Agricolainfo:eu-repo/semantics/openAccessCuri, Thayla Morandi Ridolfi de CarvalhoConti, DanteVercellino, Rimena do AmaralMassari, Juliana MariaMoura, Daniella Jorge deSouza, Zigomar Menezes deMontanari, Rafael2017-06-12T11:50:07Zoai:revistas.usp.br:article/130929Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2017-06-12T11:50:07Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
title |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
spellingShingle |
Positioning of sensors for control of ventilation systems in broiler houses: a case study Curi, Thayla Morandi Ridolfi de Carvalho broiler farms environmental control geostatistics ordinary kriging welfare |
title_short |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
title_full |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
title_fullStr |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
title_full_unstemmed |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
title_sort |
Positioning of sensors for control of ventilation systems in broiler houses: a case study |
author |
Curi, Thayla Morandi Ridolfi de Carvalho |
author_facet |
Curi, Thayla Morandi Ridolfi de Carvalho Conti, Dante Vercellino, Rimena do Amaral Massari, Juliana Maria Moura, Daniella Jorge de Souza, Zigomar Menezes de Montanari, Rafael |
author_role |
author |
author2 |
Conti, Dante Vercellino, Rimena do Amaral Massari, Juliana Maria Moura, Daniella Jorge de Souza, Zigomar Menezes de Montanari, Rafael |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Curi, Thayla Morandi Ridolfi de Carvalho Conti, Dante Vercellino, Rimena do Amaral Massari, Juliana Maria Moura, Daniella Jorge de Souza, Zigomar Menezes de Montanari, Rafael |
dc.subject.por.fl_str_mv |
broiler farms environmental control geostatistics ordinary kriging welfare |
topic |
broiler farms environmental control geostatistics ordinary kriging welfare |
description |
Ventilation systems are incorporated at intensive poultry farms to control environment conditions and thermal comfort of broilers. The ventilation system operates based on environmental data, particularly measured by sensors of temperature and relative humidity. Sensors are placed at different positions of the facility. Quality, number and positioning of the sensors are critical factors to achieve an efficient performance of the system. For this reason, a strategic positioning of the sensors associated to controllers could support the maintenance and management of the microclimate inside the facility. This research aims to identify the three most representative points for the positioning of sensors in order to support the ventilation system during the critical period from 12h00 to 15h00 on summer days. Temperature, relative humidity and wind speed were measured in four different tunnel ventilated barns at the final stage of the production cycle. The descriptive analysis was performed on these data. The Temperature and Humidity Index (THI) was also calculated. Then, the geostatistical analysis of THI was performed by GS+ and the position of sensors was determined by ordinary kriging. The methodology was able to detect the most representative points for the positioning of sensors in a case study (southeastern Brazil). The results suggested that this strategic positioning would help controllers to obtain a better inference of the microclimate during the studied period (the hottest microclimate), considered critical in Brazil. In addition, these results allow developing a future road map for a decision support system based on 24 h monitoring of the ventilation systems in broiler houses. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/130929 10.1590/1678-992x-2015-0369 |
url |
https://www.revistas.usp.br/sa/article/view/130929 |
identifier_str_mv |
10.1590/1678-992x-2015-0369 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/sa/article/view/130929/127388 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Scientia Agricola info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Scientia Agricola |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
publisher.none.fl_str_mv |
Universidade de São Paulo. Escola Superior de Agricultura Luiz de Queiroz |
dc.source.none.fl_str_mv |
Scientia Agricola; v. 74 n. 2 (2017); 101-109 Scientia Agricola; Vol. 74 Núm. 2 (2017); 101-109 Scientia Agricola; Vol. 74 No. 2 (2017); 101-109 1678-992X 0103-9016 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1800222792928460800 |