The thesis is devoted to the solution of an important topical scientific and applied problem, namely the development of the scientific basis for the creation of an energy-efficient system of automation of the processes of energy flow control in spatially distributed biotechnical facilities and greenhouse complexes, operating under uncertainty while monitoring the quality of vegetable products. The essence of the problem is to ensure the implementation of a given technology of plant production in a greenhouse with minimal energy consumption through the automation of control processes based on the use of results of monitoring the condition of plants
and product quality. The key element is to reach a compromise between the resource costs and product quality is the greenhouse microclimate control system. The main limitations of crops growing efficiency in greenhouses are due to several reasons: firstly, uncertainties due to natural random disturbances (temperature and humidity of the outdoor environment, solar radiation), incomplete information about the condition of plants, environmental parameters around them and the quality of plant products; secondly, limited data on the correlation between energy consumption and plant conditions in terms of spatial distribution of phytoclimatic
conditions of their development and quality of plant products; thirdly, the lack of general principles for the construction of automation systems for energy flow control in spatially distributed biotechnical facilities, greenhouses, for monitoring the quality of these products. Based on this, it can be argued that currently the requirements for energy efficient energy flow control systems of spatially distributed biological facilities, greenhouses, are constantly growing, and the scientific basis for their construction is absent. All the above led to the choice of the topic of the thesis and helped define its purpose and objectives. The author developed an intelligent method for the formation of energy-efficient strategies for managing energy flows in biotechnical facilities, industrial greenhouses, which differs in the use of a new criterion of energy efficiency and neural network
analysis, which minimizes energy costs on growing technology under external natural disturbances, incomplete information about plants distribution and climatic conditions. The genetic algorithm allowed to establish the optimal number of basic plant life support factors, for the support of which 70 % of energy resources are spent. Based on the mathematical apparatus of wavelet transform, a new method of non-contact determination of phytometric parameters of plants was offered, which allowed to assess the quality of plant development; the method of variational calculus, a mathematical model of mobile robot movement, allowed to minimize the energy
consumption of its battery; the method of spatial orientation of the mobile robot for phytomonitoring in the greenhouse space, which is based on the application of the probabilistic automata theory and stimulating learning, created conditions for its independent movement in the space of the industrial greenhouse, avoiding obstacles. According to the results of the parametric synthesis and the methodology of the optimal design and use of mobile robots, a rational variant of the structure of the mobile robot of phytomonitoring is provided, which ensures the monitoring of phyto- and air conditions, analyzes phytoclimatic data and forms on this basis solutions for optimizing the route of movement, planning the sequence of actions, recognition of patterns and obstacles, which provides that the tasks are carried out at minimum cost and time. A spatially distributed mathematical model of an industrial greenhouse has been developed, which is based on solving the Navier-Stokes equations, which makes it possible to estimate the value of temperature as the main technological parameter in its space and use these results to form a mobile phytomonitoring robot. The following criteria are proposed: efficient use of energy resources, the essence of which is to minimize the difference between the relative indicators of phytoclimatic life and phytodevelopment of plants, which minimizes energy costs, ensuring a given high quality of plants and products; criteria for assessing the condition of plants and plant products development, namely phytometric and phytotemperature criteria, the use of which by the automation system of energy flow control processes in plant production ensures a given high quality of plants and products taking into account the phases of plant development. In order to produce products of the required high quality in spatially distributed biotechnical facilities, industrial greenhouses, a new concept of the system of automation of energy flow control processes is offered, which operates on the basis of phytomonitoring results from the mobile robot and neural network analysis.
