| Registro completo |
| Provedor de dados: |
REA
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| País: |
Brazil
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| Título: |
EVATUATION SYSTEM OF EXHAUST FANS USED ON VENTILATION SYSTEM IN COMMERCIAL BROILER HOUSE
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| Autores: |
Silva,Wagner
Moura,Daniella
Carvalho-Curi,Thayla
Seber,Rogério
Massari,Juliana
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| Data: |
2017-09-01
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| Ano: |
2017
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| Palavras-chave: |
Broiler
Neural network
Ventilation systems
Air flow
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| Resumo: |
ABSTRACT: This study aim to develop a system, called FANS-N, for evaluation the exhaust fans in the ventilation system of broiler facilities. The system is divided into: 1) Mechanical Structure - consisting of two stepper motors for positioning a anemometer sensor in the vertical and horizontal coordinates; 2) Electronic Interface - control of the anemometer positioning and record data of wind speed; 3) Control Programming Module – accountable for the cursor movement, measurement and record the wind speed data with the anemometer at predetermined points; and 4) Analysis Programming Module - responsible for the interpretation of wind speed values at each point. The software uses artificial neural networks (Multi-Layer Perceptron) for images analyses of data base. The output of neural network give to the user the following recommendations: "possible changing", "maintenance", "standard limit", and "within standard". The system was able to evaluate the exhaust fans, identify the failures and proposing solutions to farmers of a preventive diagnosis.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000500887
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| Editor: |
Associação Brasileira de Engenharia Agrícola
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| Relação: |
10.1590/1809-4430-eng.agric.v37n5p887-899/2017
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| Formato: |
text/html
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| Fonte: |
Engenharia Agrícola v.37 n.5 2017
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| Direitos: |
info:eu-repo/semantics/openAccess
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