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CFD simulation and measurement and control analysis of the ambient temperature field of agricultural greenhouses

Chaoyong Wang

Chaoyong Wang

College of Notoginseng Medicine and Pharmacy, Wenshan UniversityWenshan, China
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Wang, Chaoyong
, 
Dake Wu

Dake Wu

School of Engineering and Technology, Southwest UniversityChongqing, China
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Wu, Dake
, 
Ke Qiao

Ke Qiao

School of Engineering and Technology, Southwest UniversityChongqing, China
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Qiao, Ke
, 
Yong Huang

Yong Huang

College of Notoginseng Medicine and Pharmacy, Wenshan UniversityWenshan, China
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Huang, Yong
 e 
Zhicong Zhang

Zhicong Zhang

College of Notoginseng Medicine and Pharmacy, Wenshan UniversityWenshan, China
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Zhang, Zhicong
  
27 feb 2025
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Pubblicato online: 27 feb 2025
Ricevuto: 16 set 2024
Accettato: 11 gen 2025
DOI: https://doi.org/10.2478/amns-2025-0126
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© 2025 Chaoyong Wang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Physical training system architecture.
Physical training system architecture.

Figure 2.

Multi-group TCN network structure after convolution.
Multi-group TCN network structure after convolution.

Figure 3.

A Schematic diagram of the greenhouse environment and the monitoring equipment. On the left is the crop planting area in the greenhouse (a), and on the right are the environmental data recorder (b) and temperature and humidity monitoring equipment (c) respectively. These devices are used to monitor key environmental parameters such as temperature, humidity and CO2 concentration in the greenhouse.
A Schematic diagram of the greenhouse environment and the monitoring equipment. On the left is the crop planting area in the greenhouse (a), and on the right are the environmental data recorder (b) and temperature and humidity monitoring equipment (c) respectively. These devices are used to monitor key environmental parameters such as temperature, humidity and CO2 concentration in the greenhouse.

Figure 4.

Trend plot of temperature over time and height.
Trend plot of temperature over time and height.

Figure 5.

Effect of different model components on relative humidity prediction in ablation experiments.
Effect of different model components on relative humidity prediction in ablation experiments.

Figure 6.

The comparison of DeepCFD-OptNet model and the traditional CFD model on temperature prediction.
The comparison of DeepCFD-OptNet model and the traditional CFD model on temperature prediction.
Lingua:
Inglese
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1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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