Scalable Architecture and Structure of Modules for Distributed Process Control System in Industrial Greenhouse Comp

With the growth of the population, the issue of food supply of cities with high-quality agricultural crops becomes urgent. Supply problems arising from this can be solved with the use of industrial greenhouse complexes with artificial lighting and groundless technologies. The development of these complexes makes the task of developing a control system to automate the cultivation processes urgent. Real industrial greenhouse complexes have a significant number of operations with the direct participation of personnel, which can be automated: control of the greenhouse microclimate, lighting, watering and preparation of the nutrient solution composition. This paper presents the architecture of a distributed control system for industrial greenhouse complexes. The system is built on a modular basis and is divided into three levels. The developed architecture is based on the use of standard modules, which makes the control system flexible and scalable. The paper also presents the basic design ratios, with the help of which it is possible to determine the required number of modules for the three levels of the proposed architecture. The use of wireless data transmission between modules based on LoRa technology allows you to abandon the laying of an information bus and at the same time deploy the system over large areas. Control of the system and its parameters is possible through direct human interaction with the interface of the control module or through remote interaction through the cloud. The architecture includes 3 types of executive modules, one combined sensor module and a control module. Each of the executive modules functions according to a given algorithm, and its parameters are controlled by a control module, based on a given growing program and information from sensors. This feature allows you to increase the reliability of the system and continue working in the event of a loss of communication with the cloud, as well as to exclude emergencies in the event of a loss of communication between the modules. The developed solutions make it possible to adapt the proposed control system for greenhouse complexes of various configurations and growing principles.

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