Development And Application Of Collaborative Control System For Greenhouse Environmental Facilities Driven By Vegetable Growth Model

In facility agriculture,the greenhouse environment is one of the key factors that affect the rhythm and quality of crop growth.Various environmental factors in the greenhouse work together on crop growth,and there are complex interactive effects between environmental factors.Networked environmental facilities have been widely used in greenhouse agricultural production,and their collaborative control needs to comply with crop growth laws.The traditional greenhouse production process lacks scientific data support,and the environmental decision-making factors for greenhouse environmental regulation are single and there is a lack of linkage between facilities.This to some extent restricts the efficiency of greenhouse production and limits the utilization of greenhouse production capacity.How to improve greenhouse production efficiency while meeting crop growth needs has become a difficult problem that urgently needs to be solved in greenhouse environmental facility control.For this purpose,this article carried out the design of a collaborative control system for greenhouse environmental facilities driven by growth models.The main research content is as follows:(1)Design the overall architecture of the collaborative control system for greenhouse environmental facilities.Based on the greenhouse scene and digital description,and based on the basic three-layer architecture of the Internet of Things,the overall architecture of the greenhouse environmental facility collaborative control system was designed,including an environmental perception and crop growth index measurement framework,and a crop growth model cloud framework.On this basis,the workflow between various parts of the control system was elaborated.(2)Construct a crop growth model that integrates multiple factors.Based on the real-time environmental parameters of the greenhouse Internet of Things and crop organ size data,the correlation between environmental index and growth index was analyzed.A coupling method between crop growth comprehensive environmental index and crop growth comprehensive index was proposed,and a multi factor fusion crop growth simulation model was constructed.Taking tomato seedlings as an example for experimental verification,the determination coefficient R~2 values of the growth comprehensive index(GCI)in the experimental results are all above 0.98.(3)Design a growth model driven collaborative regulation algorithm for greenhouse environmental facilities.Based on a multi factor fusion crop growth model,combined with factors such as the optimal environmental factors of greenhouse crops and facility collaborative regulation factors,a growth model driven greenhouse environment facility collaborative regulation algorithm was constructed.This algorithm is constrained by the parameters of the greenhouse crop growth model,and takes temperature deviation,humidity deviation,and PAR deviation as inputs.It is analyzed and processed through a facility collaborative fuzzy controller,and outputs control facility collaborative control instructions.(4)Develop a prototype system and conduct experimental verification.To verify the availability of the proposed growth model and facility collaborative control algorithm,a greenhouse environment facility collaborative control system driven by crop growth model was designed and developed.The prototype system mainly consists of an Io T cloud platform management system,a crop growth model system,and a facility regulation strategy system.In order to verify the effectiveness of the system,validation experiments were conducted in the smart greenhouse of the National Vegetable Improvement Center of Huazhong Agricultural University.The results showed that the system can meet the basic needs of digital greenhouse production and provide certain technical support for factory agricultural production.