An Improved Intelligent Control System for Temperature and Humidity in a Pig House

Hua Jin, Gang Meng, Yuanzhi Pan, Xing Zhang and Changda Wang
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Hua Jin: School of Computer Science and Communication Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Gang Meng: School of Computer Science and Communication Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Yuanzhi Pan: Artificial Intelligence Lab, Zhenjiang Hongxiang Automation Technology Co., Ltd., Zhenjiang 212000, China
Xing Zhang: School of Computer Science and Communication Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China
Changda Wang: School of Computer Science and Communication Engineering, Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, China

Agriculture, 2022, vol. 12, issue 12, 1-21

Abstract: The temperature and humidity control of a pig house is a complex multivariable control problem. How to keep the temperature and humidity in a pig house within a normal range is the problem to be solved in this paper. The traditional threshold-based environmental control system cannot meet this requirement. In this paper, an intelligent control system of temperature and humidity in a pig house based on machine learning and a fuzzy control algorithm is proposed. We use sensors to collect the temperature and humidity in the pig house and store these data in chronological order. Then, we use these time series data to train the GRU model and then use the GRU model to predict the temperature and humidity change curve in the pig house in the next 24 hours. Finally, the mathematical model of the pig house and related equipment is established, and the output power of the related equipment is calculated based on the prediction results of GRU so as to effectively regulate the indoor temperature and humidity. The experimental results show that compared with the threshold-based environmental control system, our system reduces the abnormal temperature and humidity by about 90%.

Keywords: pig; temperature; humidity; GRU; prediction (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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