Abstract
Aiming at the problems of non-linearity, time-varying and multi-variable coupling of the greenhouse, this paper significantly focuses on the analysis of indoor environmental factors such as temperature and humidity, and integrates the dynamic information from greenhouse environment into greenhouse environmental control algorithms. At the same time, based on the technology of neural network control, the MIMO control model of solar greenhouse including temperature and humidity is established, and paper describes the realization of intelligent greenhouse control function in hardware and software as well as results of simulation and testing. Extensive experiments on Zhuozhou Wisdom Demonstration Farm demonstrate that the system has faster response speed and stronger with anti-jamming ability, which indicates the control system has the better performance of dynamic control for greenhouse humiture environment. Reducing the dependence on human planting experience in greenhouse control, and the feasibility of system and effectiveness of intelligent control are provided in the paper finally.
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References
Wu X, Huang Y, Zhao Y (2016) Research on control system of greenhouse temperature and humidity based on fuzzy neural network. J Chin Agric Mech 37(4):63–66, 84. (in Chinese)
Wu B, Ren Z, Wang J (2018) Design of automatic control system for temperature and humidity in greenhouse based on mobile phone APP. J Chin Agric Mech 39(4):68–71 (in Chinese)
Bian H, Xue Y, Wang J (2014) Fuzzy control system of temperature and humidity in greenhouse, greenhouse and PLC programming. Agric Mech Res 9:147–151 (in Chinese)
Patila SL (2008) Modelling of tropical greenhouse temperature by auto regressive and neural network models. Biosys Eng 99(3):423–431
Azaza M, Tanougast C, Fabrizio E et al (2016) Smart greenhouse fuzzy logic based on control system enhanced with wireless data monitoring. ISA Trans 61:297–307
Ali RB, Aridhi E, Abbes M et al (2016) Fuzzy logic controller of temperature and humidity inside an agricultural greenhouse. In: Renewable energy congress. IEEE, pp 1–6
Gao B (2011) Design of intelligent control system for greenhouse temperature and humidity based on ARM. Ningxia University, Yinchuan (in Chinese)
Zhang GX, Fu Z, Zhang L et al (2017) The development status and trend of mechanical shutter technology in solar greenhouse in China. J Agric Eng 33(S1):1–10 (in Chinese)
Acknowledgment
This research was supported by Greenhouse Cluster and Single Greenhouse Control System (Project No. SA2016-01). We also gratefully acknowledge the Aerospace Star Technology Co., Ltd for the support.
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Gong, W., Pu, D., Guo, X., Zhang, X., Chen, Y. (2020). Research on the Intelligent Control System for Solar Greenhouse in Consideration of Indoor Dynamic Environment Information. In: Deng, Z. (eds) Proceedings of 2019 Chinese Intelligent Automation Conference. CIAC 2019. Lecture Notes in Electrical Engineering, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-32-9050-1_68
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DOI: https://doi.org/10.1007/978-981-32-9050-1_68
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