Design of Intelligent Monitoring System of Chicken House Environment Based on Single-chip Microcomputer

Du, Qing; Miao, Yanhua; Zhang, Yunhui

doi:10.1051/matecconf/201822702008

Cited by 6 publications

(3 citation statements)

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“…By leveraging the intelligent control system, the magnitude of humidity fluctuations within the pig house was reduced, effectively mitigating constraints on pig growth caused by significant environmental humidity variations. In this section, we compared the temperature anomaly time inside the pig house using the control system proposed in this paper with a traditional threshold-based system [33]. In different animal husbandry buildings, the threshold of the control system will vary depending on the animals being raised.…”

Section: Experimental Databasementioning

confidence: 99%

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Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means

Li,

et al. 2023

Agriculture

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Efficiently managing temperature and humidity in a pig house is crucial for enhancing animal welfare. This research endeavors to develop an intelligent temperature and humidity control system grounded in a three-way decision and clustering algorithm. To establish and validate the effectiveness of this intelligent system, experiments were conducted to compare its performance against a naturally ventilated pig house without any control system. Additionally, comparisons were made with a threshold-based control system to evaluate the duration of temperature anomalies. The experimental findings demonstrate a substantial improvement in temperature regulation within the experimental pig house. Over a 24 h period, the minimum temperature increased by 4 °C, while the maximum temperature decreased by 8 °C, approaching the desired range. Moreover, the average air humidity decreased from 73.4% to 68.2%. In summary, this study presents a precision-driven intelligent control strategy for optimizing temperature and humidity management in pig housing facilities.

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Section: Experimental Databasementioning

confidence: 99%

“…This process steadily reduces indoor air humidity until it reaches the preset level, at which point the dehumidification unit ceases operation. Furthermore, Du et al [33] developed an intelligent monitoring system for chicken houses. This system continuously monitors real-time temperature fluctuations within the chicken house.…”

Section: Introductionmentioning

confidence: 99%

Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means

Li,

et al. 2023

Agriculture

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“…Therefore, the original manual control method has been replaced by various intelligent systems. Scholars have begun to use microcontrollers and the Internet of Things [17][18][19][20] to directly control the environment of livestock and poultry houses. However, such control methods only work when the current environment is detected beyond the set threshold value, and the environment in the pigsty cannot be accurately controlled within a certain range.…”

Section: Introductionmentioning

confidence: 99%

Research on Predictive Control Method of Pigsty Environment Based on Fuzzy Control

Zhu,

Zhang,

Zhang

et al. 2024

Agriculture

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At present, most of the environmental control systems of pigsties use direct control methods; when factors, such as temperature and humidity, exceed the set threshold value, the corresponding actuator is turned on for regulation. However, such methods have problems such as low control accuracy, high energy consumption, and untimeliness. In order to save on energy consumption and improve control accuracy, this paper takes the predicted value, set value, and current detection value of the internal environment of a pigsty as input, and combines fuzzy control and direct control methods to realize the predictive control of the pigsty environment. The test results show that, compared with the direct control method, the fuzzy predictive control method can make fluctuations in the internal temperature and humidity of the pigsty less close to the set threshold value, while the ammonia concentration hardly exceeds the set threshold value. The results show that predictive control can more accurately control the internal environment of the pigsty and reduce energy costs by about 20%. Therefore, this method can provide scientific and effective environmental control methods for agricultural production processes, such as livestock breeding and greenhouse cultivation, in semi-confined spaces.

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The Efficiency in Controlling and Monitoring a Poultry Farm based on Internet of Things (IoT)

Md Johar,

Jumara Adha,

Hajamydeen

et al. 2024

2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS)

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Design of Intelligent Monitoring System of Chicken House Environment Based on Single-chip Microcomputer

Cited by 6 publications

References 0 publications

Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means

Smart Temperature and Humidity Control in Pig House by Improved Three-Way K-Means

Research on Predictive Control Method of Pigsty Environment Based on Fuzzy Control

The Efficiency in Controlling and Monitoring a Poultry Farm based on Internet of Things (IoT)

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