Development of a management system for information flows of a greenhouse complex based on the scenario-synergetic approach

This is proposed the concept of increasing the efficiency of greenhouse complex functioning on the basis of the scenario-synergetic approach, which provides an automated collection and processing of information for the implementation of control actions. It has been developed automated control system of information flows in the structure of a neural network predictor of resource costs. It is practically proved that based on the processing of information flows of the greenhouse complex fuzzy neural network synergistic formation of management scenarios and a subsystem of formation of productive rules for the scenario management.As a result of approbation of the proposed method of creating a neural network predictor based on a multilayer perseptron, acceptable training results were obtained with the absence of network retraining.It was found that the developed information flow control system of the greenhouse complex based on the scenario-synergetic algorithm can be used on the basis of any existing automated system as an additional module, which determines the optimal set values of temperature and humidity.