Modeling and Regulation of Dynamic Temperature for Layer Houses Under Combined Positive- and Negative-Pressure Ventilation.

Lihua Li, Min Li, Yao Yu, Yuchen Jia, Zhengkai Qian, Zongkui Xie

Abstract read

In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

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1 citing paper in PubMed.

Multi-Step Apparent Temperature Prediction in Broiler Houses Using a Hybrid SE-TCN-Transformer Model with Kalman Filtering.Sensors (Basel, Switzerland) · 2025
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5 · Who and what money

Authors and funding

6 authors.

Lihua LiCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China.

Min LiCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China.

Yao YuCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China.

Yuchen JiaCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China.

Zhengkai QianCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China.

Zongkui XieCollege of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071000, China.

Funding

Hebei Agriculture Research System HBCT2024260203Hebei Agriculture Research System HBCT2024270208National Natural Science Foundation of China 31902209Research Project on Basic Research Business Expenses of Provincial Higher Education Institutions in Hebei Province KY2024008S&T Program of Hebei 22326607DTalents Introduction Plan of Hebei Agricultural University YJ2023049

6 · The paper itself

Abstract

The environmental control of layer houses with multi-tiered cage systems is influenced by factors such as the structure of the henhouses and the heat dissipation of the flock, leading to low precision and large fluctuations in temperature control. Based on a new combined positive- and negative-pressure ventilation (CPNPV) mode, a dynamic temperature model is constructed. Additionally, a temperature control method for a layer house is designed using a variable universe fuzzy PID control algorithm (VFPID). First, based on the principles of energy and mass balance, and by decoupling the relationship between positive- and negative-pressure ventilation volumes, a dynamic temperature model for layer houses under CPNPV was established. Then, the PID parameters and the proportional relationship between positive- and negative-pressure ventilation were optimized through fuzzy rules, and a proportional exponential function was introduced to adjust the scaling of the universe, enabling fine-tuned control. Finally, a temperature control model for the layer house was built using Simulink. The results show that the coefficients of determination (R

Indexed as

combined positive- and negative-pressure ventilationenergy and mass balancefuzzy PID controllayer housestemperature simulation

Identifiers

PMID39518778

DOI10.3390/ani14213055

PMCPMC11545152

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.