Data/hora: 06/06/2024 07:21:02

Provedor de dados: | 70
País: | Brazil
Título: | EVATUATION SYSTEM OF EXHAUST FANS USED ON VENTILATION SYSTEM IN COMMERCIAL BROILER HOUSE
Autores: | Silva,Wagner; Moura,Daniella; Carvalho-Curi,Thayla; Seber,Rogério; Massari,Juliana.
Data: | 2017-09-01
Ano: | 2017
Palavras-chave: | Broiler; Neural network; Ventilation systems; Air flow.
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.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000500887
Editor: | Associação Brasileira de Engenharia Agrícola
Relação: | 10.1590/1809-4430-eng.agric.v37n5p887-899/2017
Formato: | text/html
Fonte: | Engenharia Agrícola  v.37 n.5 2017
Fonte: | info:eu-repo/semantics/openAccess