Greenhouse environment multifactorial coordination control method based on crop physiology and energy consumption optimization

Abstract

The invention relates to a greenhouse environment multifactorial coordination control method based on crop physiology and energy consumption optimization. The method comprises the steps that firstly, initial set values of greenhouse environment factors are obtained; secondly, real-time values of the greenhouse environment factors, real-time values of crop physiology parameters and real-time values of climate parameters are obtained; thirdly, yield prediction and energy consumption prediction are conducted, the initial set values of the greenhouse environment factors are taken as constraints, the maximum economic benefit is set as the objective, the greenhouse environment factors are optimized so as to obtain target values of the greenhouse environment factors; fourthly, the target values of the greenhouse environment factors are input into a greenhouse controlling and executing mechanism for greenhouse environment multifactorial coordination control; in the same growth stage, the second to fourth steps are executed repeatedly, and when crops enter the next growth stage, the first step is executed to obtain the initial set values of the greenhouse environment factors again. Compared with the prior art, the crop physiology information and energy consumption are taken into full consideration so control the multiple greenhouse environment factors, the more appropriate growth environment of the crops is constructed, and high-yield and energy-saving greenhouse running is achieved.

Description

technical field [0001] The invention relates to a greenhouse environment control method, in particular to a greenhouse environment multi-factor coordinated control method based on crop physiology and energy consumption optimization. Background technique [0002] Greenhouse climate automatic control is a key technology in the production process of the greenhouse. Its purpose is, according to the quantitative requirements of the greenhouse climate (mainly referring to the temperature, humidity, light, carbon dioxide concentration, etc.) The computer control system realizes the data collection and processing of the greenhouse climate indicators, and the corresponding automatic control algorithm realizes the automatic control of the greenhouse climate and creates the most suitable climate for crop growth. This technology is an important means to improve the yield and quality of greenhouse crops, and it is also an important way to realize the automatic regulation of crop market t...

AI Technical Summary

Problems solved by technology

However, the natural light greenhouse environment is greatly affected by the outdoor environment, and the method of threshold control is difficult to achieve the optimal combination of crop yield and energy consumption. Coping with sudden changes in weather and therefore high energy consumption

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