Research on the Mechanism Model of Environmental Temperature and Humidity Control in Artificial Light Source Plant Factory
DOI: 10.23977/jemm.2022.070201 | Downloads: 11 | Views: 171
Mingqiu Zhang 1, Jisheng Zhang 1, Linhui Liu 1, Liyu Jin 1, Bo Zhang 2
1 College of Modern Manufacturing Engineering, Heilongjiang University of Technology, Jixi 158100, Heilongjiang, China
2 College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, Heilongjiang, China
Corresponding AuthorMingqiu Zhang
There is a strong cross-coupling and time delay between the temperature and humidity in the artificial light source type plant factory, which makes it difficult to control the environmental parameters alone. Therefore, this paper first analyzes the basic composition of the air treatment equipment in the artificial light source type plant factory, combines the temperature mechanism model and the humidity mechanism model, establishes the energy conversion balance equation of the air treatment equipment, and determines the dynamic nonlinear model of the temperature and humidity control system. The model is verified and analyzed, and the accuracy of the model is determined by comparing the output value of the calculation system with the measured value of the steady-state operating point in the actual field, which provides a theoretical basis for the next temperature and humidity control strategy.
KEYWORDSTemperature, Humidity, Mechanism, Dynamic Model, Control
CITE THIS PAPER
Mingqiu Zhang, Jisheng Zhang, Linhui Liu, Liyu Jin, Bo Zhang, Research on the Mechanism Model of Environmental Temperature and Humidity Control in Artificial Light Source Plant Factory. Journal of Engineering Mechanics and Machinery (2022) Vol. 7: 1-11. DOI: http://dx.doi.org/10.23977/jemm.2022.070201.
 Dai Jianfeng, Luo Weihong, Xu Guobin, Li Yongxiu, Wang Xiaoyan, Ye Jun, Yao Yongkang. Simulation of Venlo-type greenhouse air temperature and humidity and cucumber transpiration rate in the middle and lower reaches of the Yangtze River. Chinese Journal of Agricultural Engineering, 2005(05): 107-112.
 Guan Xiaoli. Research on Greenhouse Automatic Control System Based on PIC16F877A. Harbin University of Science and Technology, 2008.
 Zhao Bin. Research on the control mechanism of temperature, room temperature and humidity in northern China based on RBF network. Northeast Forestry University, 2010.
Acquah Samuel Joe, Yan Haofang, Zhang Chuan, Wang Guoqing, Zhao Baoshan, Wu Haimei. Application and evaluation of Stanghellini model in the determination of crop evapotranspiration in a naturally ventilated greenhouse. International Journal of Agricultural & Biological Engineering, 2018, 11(6): 95-103.
 Hossain Shaikh Abdullah Al Mamun, Wang Lixue, Liu Haisheng. Improved greenhouse cucumber production under deficit water and fertilization in Northern China. International Journal of Agricultural & Biological Engineering, 2018, 11(4): 58-64.
 Li Jin, Qin Linlin, Yue Dazhi, Wu Gang, Xue Meisheng, Chen Wei, Wang Ziyang, Hu Zhenhua. Modeling and Simulation of Experimental Greenhouse Temperature System. Journal of System Simulation, 2008(07): 1869-1875.
 Meng Lili, Yang Qichang, Gerard.P.A.Bot, Wang Nan. Construction of a thermal environment simulation model for a solar greenhouse. Chinese Journal of Agricultural Engineering, 2009, 25(01): 164-170.
 Lin Dongliang. Modelling and Analysis of Greenhouse Environmental Control Hybrid System. Shanghai: Shanghai University, 2010.
 Wang Xiaoyan. Microclimate Simulation and Energy Consumption Prediction of Modern Greenhouses in Southern China. Nanjing: Nanjing Agricultural University, 2003.
Yan Zhengnan, He Dongxian, Niu Genhua,Zhou Qing, Qu Yinghua.Growth, nutritional quality, and energy use efficiency in two lettuce cultivars as influenced by white plus red versus red plus blue LEDs. International Journal of Agricultural & Biological Engineering, 2020, 13(2):33-40.
Zheng Jianfeng, He Dongxian, Ji Fang.Effects of light intensity and photo period on runner plant propagation of hydroponic strawberry transplants under LED lighting. International Journal of Agricultural & Biological Engineering, 2019, 12(6): 26-31.
 Ma Yan.Research on Temperature and Humidity Decoupling Internal Model Control of Variable Air Volume Air Conditioning System. Chongqing University, 2011.
 Jiang Yongxiang. Hybrid logic dynamic modeling and control of modern greenhouse humidity system. University of Science and Technology of China, 2014.
 He Zhibin. Modeling and Simulation of Ship Air Conditioning System. Dalian Maritime University, 2011.
 Zhang Jun. Intelligent Integrated Modeling and Intelligent Integrated Energy-saving Optimal Control of Greenhouse Environment System. Shanghai University, 2013.
 Lin Dongliang. Modelling and Analysis of Greenhouse Environmental Control Hybrid System. Shanghai University, 2010.