| Texto completo | |
| Autor(es): |
Denise Trevisoli Detsch
[1]
;
Dante Conti
[2]
;
Maria Aparecida Diniz-Ehrhardt
[3]
;
José Mario Martínez
[4]
Número total de Autores: 4
|
| Afiliação do(s) autor(es): | [1] Federal University of Paraná. Department of Engineering and Exact - Brasil
[2] State University of Campinas. Institute of Mathematics, Statistics and Scientific Computing. Dept. of Applied Mathematics - Brasil
[3] State University of Campinas. Institute of Mathematics, Statistics and Scientific Computing. Dept. of Applied Mathematics - Brasil
[4] State University of Campinas. Institute of Mathematics, Statistics and Scientific Computing. Dept. of Applied Mathematics - Brasil
Número total de Afiliações: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Scientia Agricola; v. 75, n. 6, p. 445-451, 2018-12-00. |
| Resumo | |
ABSTRACT: Environmental conditions in broiler houses, specifically temperature, are key factors that should be controlled to ensure appropriate environment for broiler rearing. In countries with tropical/subtropical climate, like Brazil, high temperatures produce heat stress to animals, affecting the production process. This research proposes a real-time model to control temperature inside broiler houses. The controller is a self-correcting model that makes real-time decisions on the ventilation system operation (exhaust fans) together with temperature prediction at the facility. The model involves partial differential equations (PDE) whose parameters are updated according to data registered in real-time. Some experiments were carried out at a pilot farm in the municipality of Jundiaí, São Paulo State, Brazil, for different periods during winter and summer. The results based on simulations in comparison with the current automatic ventilation system show that the model is consistent to keep temperature under control for an efficient production. The model achieved a bias of 0.6 °C on average in comparison with the ideal temperature, whereas the automatic controller measured a bias of 3.3 °C, respectively. Future lines suggest that this approach could be useful in many other situations that involve environmental control for livestock production. (AU) | |
| Processo FAPESP: | 13/07375-0 - CeMEAI - Centro de Ciências Matemáticas Aplicadas à Indústria |
| Beneficiário: | Francisco Louzada Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |
| Processo FAPESP: | 13/21112-1 - Modelo de controle real para criação de frangos de corte |
| Beneficiário: | Dante Conti |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 10/10133-0 - Problemas de corte, empacotamento, dimensionamento de lotes e programação da produção, e suas integrações em contextos industriais e logísticos |
| Beneficiário: | Reinaldo Morabito Neto |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 13/03447-6 - Estruturas combinatórias, otimização e algoritmos em Teoria da Computação |
| Beneficiário: | Carlos Eduardo Ferreira |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 13/05475-7 - Métodos computacionais de otimização |
| Beneficiário: | Sandra Augusta Santos |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |