Revolutionizing solar greenhouses: A lighting environment control system for renewable vegetable cultivation, empowered by roller shutter control

百叶窗 温室 计算机科学 控制系统 控制(管理) 环境科学 汽车工程 工艺工程 工程类 人工智能 机械工程 电气工程 生物 园艺
作者
Qiqi Fu,Xinxing Li,Guoxiang Zhang,Yunfei Ma
出处
期刊:Journal of Food Process Engineering [Wiley]
卷期号:47 (1) 被引量:2
标识
DOI:10.1111/jfpe.14494
摘要

Abstract Advanced solar greenhouse lighting environment control systems typically replace traditional empirical control methods to reduce unnecessary resource consumption. The research proposes a solar greenhouse light environment control system based on the opening of the roller shutter (ORS), which controls the light environment of greenhouse by operating the roller shutter under different conditions, and introduces the traditional feedback closed‐loop lighting (FCL) system for comparison. The real‐time adjustment of the roller shutter can adjust the light environment in the greenhouse more accurately. An experimental laboratory station was fabricated to evaluate effectiveness of the proposed control system. The test results show that the ORS control system can regulate the greenhouse light environment to a desired value ( R 2 = .994), and effectively adjust the light levels as required. In contrast, the FCL system has a larger average light tracking relative error (4.68% greater than the ORS control system), and is weaker in accurately reflecting the light environment in the greenhouse. The main technical contribution of this research is the development of a solar greenhouse light environment control strategy based on the opening of a roller shutter, enabling effective regulation of the light environment. The results can be used as a theoretical basis for the production management of solar greenhouses and hold significance practical implications for the subsequent automation and intelligent control of greenhouse environments. Practical applications The results can be used as a theoretical basis for the production management of solar greenhouses, and have an important practical significance for the subsequent automation and intelligent control of greenhouse environments.

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