Research on the Intelligent Control System for Solar Greenhouse in Consideration of Indoor Dynamic Environment Information

Aiming at the problems of non-linearity, time-varying and multivariable 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.