Facility environment multi-objective optimization control method based on cooperative game

Abstract

The invention provides a facility environment multi-objective optimization control method based on cooperative game. The method comprises the steps that S1 three control objectives are established for a facility environment, wherein an environmental parameter-temperature and humidity control objective, an energy control objective and control device physical limit, namely a device loss control target, are comprised; S2, a cooperative game model is established, and specifically a multi-objective model predictive control method based on the cooperative game model is used to process three control objectives of the facility environment to acquire the optimal function of each control objective; and S3, the optimal function of the objectives is solved to acquire the optimal controlled quantity of each objective function. According to the invention, the game theory idea is used; each control objective is taken as a game side; through the establishment of the cooperative competition model, each game side takes into account the individual interests and the interests of others at the same time; and a multi-objective conflict problem is solved.

Description

technical field [0001] The invention relates to the field of intelligent agriculture, in particular to a cooperative game-based multi-objective optimal control method for facilities and environments. Background technique [0002] At present, ubiquitous network (Internet, Internet of Things) technologies such as modern agricultural production methods, integrated application perception and identification technology, monitoring technology, communication network technology, cloud computing and big data technology are prominent features to realize intelligent control of agricultural production process, Smart production, whole-process quality control and traceability of agricultural products are intelligent, industrialized, standardized, efficient, intensive, green and low-carbon modern agricultural formats embodied in Agriculture 4.0. Facility agriculture is a symbol of modern agricultural development and one of the most dynamic industries in the world today. It is also the main ...

AI Technical Summary

Problems solved by technology

Traditional greenhouse control only considers single-objective control, which requires factors such as temperature, humidity, light, and nutrition in the facility environment to reach an appropriate value, but lacks consideration of other factors such as energy consumption and physical limitations of equipment. , leading to the theoretical optimal control algorithm cannot be effectively applied to the actual facility environment due to the high operating cost

Images