Fuzzy index for swine thermal comfort at nursery stage based on behavior

This work aims to develop and test a computational mathematical model, based on the fuzzy set theory, to predict the rate of thermal comfort by means of the swine behavior in relation to their age and to the black globe humidity index for two nursery types. Nursery 1 had brick stalls with fully slatted metal flooring, and nursery 2 had wooden stalls with fully slatted plastic flooring. Nursery style 2 presented a higher frequency of behavior in the condition comfort than nursery style 1, respectively 39,32% and 38,16%. The thermal comfort values for the fuzzy system were 3,58% for the standard deviation and 72,86% for the coefficient of determination. The developed fuzzy model has proven adequate in predicting thermal comfort by means of the animal's behavior

Fuzzy modeling applied to the welfare of poultry farms workers

The objective of this work was to develop a fuzzy model to classify the working environment in poultry farms. For this purpose, air temperature, relative humidity, noise level, and ammonia concentration were measured in a broiler house with lateral positive-pressure ventilation. Work days consisting of 8 hours were simulated and the results provide support for classifying the level of comfort under different thermal, noise and gas concentration conditions. Therefore, three input variables were used: temperature-humidity index (THI), noise level (dB) and ammonia concentration (ppm), and the output variable was the work environment classification (WEC). Sixty rules were defined based on combinations of THI, noise level and ammonia concentration and each result is a function of the combination of input data. Experimental data was used to test the application of the proposed model. The results indicate that the proposed methodology is promising for determining the worker well-being level, and aid in making decisions regarding the control of the work environment in order to reduce or eliminate sources considered stressful to humans

Fuzzy modeling applied to the welfare of poultry farms workers

The objective of this work was to develop a fuzzy model to classify the working environment in poultry farms. For this purpose, air temperature, relative humidity, noise level, and ammonia concentration were measured in a broiler house with lateral positive-pressure ventilation. Work days consisting of 8 hours were simulated and the results provide support for classifying the level of comfort under different thermal, noise and gas concentration conditions. Therefore, three input variables were used: temperature-humidity index (THI), noise level (dB) and ammonia concentration (ppm), and the output variable was the work environment classification (WEC). Sixty rules were defined based on combinations of THI, noise level and ammonia concentration and each result is a function of the combination of input data. Experimental data was used to test the application of the proposed model. The results indicate that the proposed methodology is promising for determining the worker well-being level, and as an aid in making decisions regarding the control of the work environment in order to reduce or eliminate sources considered stressful to humansEl objetivo de este trabajo fue desarrollar un modelo fuzzy para evaluar y clasificar el ambiente de trabajo de las granjas de pollos de engorde. Para ello datos de temperatura del aire, humedad relativa, nivel de ruido y la concentración de amoníaco fueron colectados en un galpón avícola con ventilación positiva lateral. Un esquema de trabajo de ocho horas al día fue simulado y los resultados dieron un soporte para la clasificación del nivel de confort bajo las diferentes condiciones térmicas, acústicas y de concentración de gas. Por lo tanto, fueron utilizadas tres variables de entrada, índice de temperatura y humedad (ITU), nivel de ruido (dB) y concentración de amoníaco (ppm), y la de salida fue la clasificación del entorno de trabajo (CET). Fueron definidas sesenta (60) reglas con base en las combinaciones de ITU, nivel del ruido y concentración de amoníaco, donde cada resultado es una función de combinación de los datos de entrada. Los datos de campo fueron usados para validar el sistema propuesto. Los resultados indican que la metodología propuesta es viable para determinar el nivel de bienestar de los trabajadores pudiendo ayudar en la toma de decisiones relacionadas con el control climático y se puede utilizar con el fin de reducir o eliminar las fuentes que son consideradas como causantes de estrés en el hombr

Fuzzy index for swine thermal comfort at nursery stage based on behavior

This work aims to develop and test a computational mathematical model, based on the fuzzy set theory, to predict the rate of thermal comfort by means of the swine behavior in relation to their age and to the black globe humidity index for two nursery types. Nursery1 had brick stalls with fully slatted metal flooring, and nursery 2 had woodenstalls with fully slatted plastic flooring. Nursery style 2 presented a higher frequency of behavior in the condition comfort than nursery style 1, respectively 39,32% and 38,16%. The thermal comfort values for the fuzzysystem were 3,58% for the standarddeviation and 72,86% for the coefficient of determination. The developed fuzzymodel has proven adequate in predicting thermal comfort by means of the animal's behavior.Este trabajo tuvo como objetivo desarrollar y evaluar un modelo matemático computacional, con base en la teoría de los conjuntos fuzzy, para predecir el confort térmico a partir del comportamiento de lechones, en función de su edad y del índice de temperatura de globo y humedad, en dos tipologías de instalación de preceba. La instalación 1 estaba compuesta por corrales de mampostería y piso de malla metálica, y la instalación 2 tenía corrales construidos con tablilla de madera y piso en malla plástica. La instalación 2 presentó una mayor frecuencia comportamental en la condición de confort que la instalación 1, con 39,32% y 38,16% respectivamente. Los valores da tasa de confort térmico estimados por el sistema fuzzy presentaron una desviación estándar media de 3,58% y coeficiente de determinación de 72,86%. El modelo fuzzy desarrollado mostró ser adecuado para la predicción de la tasa de confort térmico a partir del comportamiento de los animales

Thermal assessment of ecological tiles in physical models of poultry houses

In countries with tropical climates, such as Brazil, the high summer temperatures associated with high relative humidities are a stress factor in animal production. Excessive heat within a poultry facility causes a reduction in feed intake and production, and increased bird mortality. With the knowledge that about 75% of the radiant heat load within a facility comes from the roof, it is necessary to study alternatives that can minimize this radiation. Thus, the objective of the present work is to analyze the thermal environment inside physical broiler housing models constructed on a reduced scale (1:10), where the thermal comfort was evaluated by the black globe humidity index (BGHI) and radiant heat load (RHL). Five models built with different roofing materials were evaluated. Based on the results, it can be concluded that roofs constructed with the channel clay roofing tile (TB30), natural fiber tiles with their external side painted white (TFVP15) and tiles made of recycled long-life packaging (TLV15), provide better thermal environments within the models.En países con climas tropicales, como Brasil, las altas temperaturas asociadas con altas humedades relativas en el verano contribuyen como un factor de estrés en la producción animal. El calor excesivo dentro de una instalación avícola causa una reducción en el consumo de alimento y en la producción, y aumento en la mortalidad de las aves. Conociendo que el 75% de la carga de calor radiante dentro de una instalación viene desde el techo, es necesario estudiar alternativas que pueden minimizar esta radiación. El objetivo del presente trabajo fue analizar el ambiente térmico dentro de los modelos físicos de instalaciones de pollos de engorde construidos a escala reducida (1:10), donde el confort térmico se evaluó por el índice de humedad y de globo negro (BGHI) y la carga de calor radiante (RHL). Cinco modelos construidos fueron evaluados con diferentes materiales para techos. Basados en los resultados, se puede concluir que los techos construidos con tejas de cerámica (TB30), placas de fibra natural pintadas de blanco con en el lado externo (TFVP15) y placas de fabricadas con envases larga vida reciclado (TLV15), proporcionan los mejores ambientes térmicos