Abstract

The analysis of existing methods and systems of management of the greenhouse complex is carried out. It has been determined that the most expedient is the development of new methods and control systems that would take into account the mutual influence of microclimate parameters, predicted changes in external natural disturbances and determine the most energy efficient modes of functioning of the greenhouse economy. A systematic analysis of the greenhouse complex at the stages of structural, functional, informational and parametric analysis was carried out. A system of goals and a tree of goals for the energy efficient functioning of the greenhouse complex has been built using the decomposition of goals and objectives and synthesis with the definition of the components of the greenhouse economy. The quantitative and qualitative characteristics of information flows between subsystems have been determined and a model of information flows has been built. For the purpose of carrying out functional analysis and synthesis, the method of mathematical description is used - the theory of graphs. The quantitative and qualitative characteristics of information flows between subsystems have been determined using the construction of a model of information flows. A parametric analysis and synthesis were carried out to determine the main controlled and regulated parameters of the greenhouse complex in order to ensure the maximum efficiency of the control system. Structural analysis and synthesis were carried out with the definition of the components of the greenhouse economy, the interrelationships of the subsystems of the greenhouse complex were analyzed and it was proved that the object under study is a complex system. The directions of further research have been formed for the processes of self-organization and management of information flows of the greenhouse complex, which provide for a plurality of scenarios for further development. Key words: greenhouse complex, system analysis, information flows, goal tree, energy efficient management

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