Модели, методы и архитектуры автоматизации технологических процессов выращивания культур в вертикальных фермах

For growing any crops in greenhouse complexes and, in particular, vertical farms, it is necessary to maintain the microclimatic conditions required for these crops: ventilation; temperature regime; lighting and watering. It is necessary to monitor the microclimatic conditions in the greenhouse, since even a short-term violation of them can lead to negative consequences, up to the death of plants and cause significant damage. The operations that must be performed to maintain the required conditions in the greenhouse are determined by the technology of growing a particular crop. Many operations, such as adjusting lighting and temperature, must be performed in accordance with the time schedule and the state of the environment. Manual execution of all necessary operations in large vertical farms carries the risk of human error. In addition, the internal microclimate of vertical farms is highly dependent on the external environment, in particular, on the external climate and the presence of people in the room. This means that it is possible to predict changes in internal parameters by monitoring external parameters. Moreover, it is possible to provide adaptive automation control using forecast data. Thus, automation of vertical farm management is a promising area. At the same time, there is a discrepancy between existing solutions designed for manual use or not providing adaptive climate control, and the requirements of practice. In addition, well-known developments do not offer sufficiently flexible architectural solutions that would allow the construction of scalable vertical farms with wireless modules. In this regard, it is necessary to increase the level of automation of technological processes in vertical farms through the development of methods, models and architecture of adaptive management of these processes.

1. A model of the greenhouse technological process is proposed.
2. A three-level modular, scalable architecture of technological processes of greenhouse complexes has been developed.
3. The rules for setting thresholds on sensors to maintain healthy plant growth have been formed. Experiments have been conducted that have proven the effectiveness of using fuzzy logic to automate the irrigation system by reducing water consumption.