Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/42146
Title: Sistema inteligente para controle da climatização de aviários para produção de frangos de corte
Other Titles: Intelligent system for the control of climate broiler house for the production of chicken
Authors: Yanagi Junior, Tadayuki
Bettio, Raphael Winkler de
Yanagi Junior, Tadayuki
Bettio, Raphael Winkler de
Schiassi, Leonardo
Nascimento, José Wallace Barbosa do
Ferreira, Danton Diego
Keywords: Avicultura de corte
Frangos de corte - Conforto térmico
Internet das coisas
Agroindústria 4.0
Poultry Industry
Broilers - Thermal comfort
Internet of things
Agribusiness 4.0
Issue Date: 31-Jul-2020
Publisher: Universidade Federal de Lavras
Citation: SILVA, C. T. da. Sistema inteligente para controle da climatização de aviários para produção de frangos de corte. 2020. 71 p. Dissertação (Mestrado em Engenharia de Sistemas e Automação) – Universidade Federal de Lavras, Lavras, 2019.
Abstract: In this study, the control and monitoring process for a broiler house was improved to mitigate or eliminate thermal stresses in the birds’ environment. An architecture based on the Internet of Things (IoT) and agribusiness 4.0 was used to implement a fuzzy controller embedded in an ESP8266 microcontroller. A multiplatform web application (consisting of open-source applications and free software, such as Node-RED, a tool based on data streams) communicated the conditions of the aviary climate system to the fuzzy controller. Data were collected by a DS18B20 temperature sensor and a DHT22 temperature and humidity sensor. A Raspberry Pi 3 served as a low-cost central computer system to store these data and the rating provided by the microcontroller-embedded fuzzy controller. This information was transmitted to the central web server via message queue telemetry transport (MQTT). Data persistence was achieved using a MySQL database installed on the Raspberry Pi 3. The system performed decision-making to control the aviary thermal environment of broilers ranging from one to 49 days old. The input variables of the system were the black globe-humidity index (BGHI) and the bird age. Defuzzification by the center of gravity method produced environmental ratings as output variables that were used to control the aviary thermal environment in an automatic and smart manner. The inference was performed using the Mamdani method, and the accuracy of the results was determined by comparison with an environmental classification performed in MATLAB. Using the low-cost intelligent prototype produced a 100% accuracy (based on the MATLAB results) for the thermal environment score for 200 scenarios simulated with different thermal environments. Thus, the intelligent prototype can be used to automatically supervise evaluation variables and equipment control in aviary thermal environments. This alternative system can be used as an agribusiness 4.0 application to mitigate thermal stress conditions in aviaries and, consequently, reduce productivity losses.
URI: http://repositorio.ufla.br/jspui/handle/1/42146
Appears in Collections:Engenharia de Sistemas e automação (Dissertações)



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