Search

Intensive broiler production requires of accurate control systems aimed to maintain ideal conditions inside the facilities. The achievement of an appropriate environment guarantees good performance and sustainability of the production. Control and monitoring of temperature is a key factor during the production cycle. In countries with tropical and subtropical climate, such as Brazil, high values of temperatures can affect negatively the broiler production. Based on a temperature control model developed by the authors, this research is focused on the determination and fitting of the intrinsic parameters of the model. Consecutive executions of the model and changes in the facilities suggest adapting parameters constantly under the perspective of real-time systems. Four strategies of derivative-free optimization were applied to adjust the parameters of the model. Experiments were conducted with data collected from a pilot farm in South-eastern Brazil. Results demonstrated that the process of updating parameters needs to be implemented on the temperature control model. BOBYQA method resulted to be the best strategy to be taken into consideration for the improvement of the system.

La sistematización de las actividades administrativas que tradicionalmente se han hecho de forma manual desde hace algunas décadas han tenido un impacto positivo no solo en la sociedad, sino también en los sectores productivos o de servicios gracias al desarrollo de sistemas informáticos. A pesar de este avance tecnológico, aún es tema de estudio la optimización de recursos y la capacitación del personal en el manejo en este tipo de recursos. La problemática crece cuando en los estados de pobreza extrema los servicios de atención a la población llegan desfasados e incompletos. En el estado de Guerrero, México, teniendo como capital la ciudad de Chilpancingo de los Bravo, se implementó un sistema de cómputo diseñado a la medida del primer Hospital de atención a la madre y el niño Guerrerense, que permite un control de la información individual de los pacientes, así como su historial clínico, por medio de expedientes de salud electrónicos. Los resultados de este sistema se reflejan en el momento de la atención prestada a los pacientes y el control que se tiene para el seguimiento de cada caso clínico.

Aplicamos duas metodologias de ensino diferentes em duas turmas da disciplina MS148: Complementos de Matemática no primeiro ano do chamado Cursão. da UNICAMP. No primeiro grupo, a estratégia foi a geralmente usada nesse tipo de disciplina. Em uma turma alternativa, usamos um método diferente (embora nada de novo) que consistia em dar prioridade ao trabalho dos estudantes em sala de aula. Através de cinco avaliações diferentes, e das comparações com notas dos estudantes na prova da Matemática do Vestibular, procurando chegar a conclusões quantitativas relativamente a eficácia de ambas as estratégias.

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.