FU Yi-pan, XIAO Zhen-xing. The Greenhouse Management System Based on Intelligent Temperature Control Algorithm[J]. Journal of Agricultural Mechanization Research, 2022, 44(6): 214-218. DOI: 10.13427/j.cnki.njyi.2022.06.037
Citation: FU Yi-pan, XIAO Zhen-xing. The Greenhouse Management System Based on Intelligent Temperature Control Algorithm[J]. Journal of Agricultural Mechanization Research, 2022, 44(6): 214-218. DOI: 10.13427/j.cnki.njyi.2022.06.037

The Greenhouse Management System Based on Intelligent Temperature Control Algorithm

  • In order to achieve crop growth demand, it is necessary to control greenhouse temperature accurately. Firstly, the model of greenhouse temperature was achieved, which Integrated multiple environmental factors. Secondly, high precision temperature control was founded by fuzzy PID control. The model for greenhouse temperature was achieved by ARX, which Integrated temperature outside greenhouse, wind speed, solar irradiance intensity and indoor humidity.Fuzzy PID control system was achieved, as temperature variation and temperature change rate were taken as system input. The response time was 6 s. Prediction accuracy of temperature model and temperature control accuracy were tested, the result showed that the error was less than 7.5% between predicted value of temperature model and true value, and the range of control was 18.8, 21, as theoretical value of greenhouse temperature was 20℃.
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