Microclimate environment model construction and control strategy of enclosed laying brooder house

Liai Gao; Mengwei Er; Lihua Li; Peng Wen; Yuchen Jia; Limin Huo

Poultry Science (Jun 2022)

Microclimate environment model construction and control strategy of enclosed laying brooder house

Liai Gao,
Mengwei Er,
Lihua Li,
Peng Wen,
Yuchen Jia,
Limin Huo

Affiliations

Liai Gao: College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China; Key Laboratory of Meat and Layer Breeding Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071000, China; Hebei Provincial Key Laboratory of Livestock and Poultry Breeding Intelligent Equipment and New Energy Utilization, Baoding 071000, China
Mengwei Er: College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China
Lihua Li: College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China; Key Laboratory of Meat and Layer Breeding Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071000, China; Hebei Provincial Key Laboratory of Livestock and Poultry Breeding Intelligent Equipment and New Energy Utilization, Baoding 071000, China
Peng Wen: College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China; Key Laboratory of Meat and Layer Breeding Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071000, China; Hebei Provincial Key Laboratory of Livestock and Poultry Breeding Intelligent Equipment and New Energy Utilization, Baoding 071000, China
Yuchen Jia: Key Laboratory of Meat and Layer Breeding Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071000, China; Hebei Provincial Key Laboratory of Livestock and Poultry Breeding Intelligent Equipment and New Energy Utilization, Baoding 071000, China; College of Information Science and Technology, Hebei Agricultural University, Baoding 071000, China
Limin Huo: College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China; Key Laboratory of Meat and Layer Breeding Facilities Engineering, Ministry of Agriculture and Rural Affairs, Baoding 071000, China; Hebei Provincial Key Laboratory of Livestock and Poultry Breeding Intelligent Equipment and New Energy Utilization, Baoding 071000, China

Journal volume & issue: Vol. 101, no. 6
p. 101843

Abstract

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ABSTRACT: The growth performance and health of chicks can be significantly improved by a suitable microclimate in brooder houses. However, the microclimate of the chicken house is affected by factors such as its structure and the heat dissipation of chickens, making it is difficult to establish an accurate mathematical model and achieve effective regulation. In this paper, the environmental data acquisition system of enclosed chick brooder house was established by analyzing various environmental factors in brooder houses. According to the structural characteristics of brooder houses and the growth environment of chicks and other parameters, the microclimate simulation model of brooder houses was established using the physical law of energy balance. The coefficient of determination R2 (R-square) between simulated temperature and humidity output value and measured value was 0.7634 and 0.9740, respectively, and Root Mean Square Error (RMSE) was 1.55°C and 2.61%, respectively. The correctness of the simulation model was verified. On the basis of established microclimate models, a simulation model of fuzzy decoupling Proportion Integration Differentiation (PID) control in chicken house environments was established for the strong coupling between temperature control and general risk control system in chicken houses. Different control strategies were generated by fuzzy and logical reasoning about multiple environmental factors. The compensation coefficient was added to optimize the environmental regulation system of brooder houses. The temperature maximum deviation between the set value and the fuzzy decoupling PID controller was 0.5°C, the maximum relative error was 2.7%, the maximum deviation of relative humidity between the set value and the fuzzy decoupling PID controller was 4.93%, the maximum relative error was 10.49%.The simulation results show the control strategy meets the temperature and humidity control requirements, verify the effectiveness of the control strategy and model. The experimental results can guide the actual environmental control of brooder houses.

Published in Poultry Science

ISSN: 0032-5791 (Print); 1525-3171 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Agriculture: Animal culture
Website: https://www.journals.elsevier.com/poultry-science

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