Prokopenko T. Information and software automated control system of temperature and humidity conditions of vegetable greenhouse

Object of research - process control temperature and humidity conditions in the greenhouse. The purpose of research - energy efficiency of the process of growing vegetables in the greenhouse facilities by automated control of temperature and humidity conditions with the use of modern information technology. It was found that according to the research results traditional systems typically do not account the presence of cross-links between air temperature and soil indoor the greenhouse and microclimate parameters and delay between changes of these parameters. Appropriate mathematical models in the form of differential equations were constructed and tested for adequacy. Numeral solution and optimization of these equations made it possible to assess non- stationarity and non-linearity of the temperature-humidity processes. Experimental research and their quantitative study by the correlation analysis determined the relationship between the parameters of the microclimate and inertia object of control system (greenhouses). Module assessing of the significance based on genetic algorithm made it possible to form a structure of a control system and methods of creating energy efficient neural control system of temperature and humidity conditions in the greenhouse were developed. The corresponding radial basis neural network architecture were created and tested on the adequacy. Simulation was conducted, which confirmed the functional efficiency of the system and its algorithmically-made software and hardware implementation was formed. Completed research production and economic calculations confirmed the efficiency of the economic system of intellectual control system of temperature and humidity conditions in the greenhouse. The recommendations for its practical implementation in buildings under glass were made. The dissertation is devoted to solving scientific and applied problem that is based on energy efficient control of temperature and humidity conditions in the greenhouse including nonlinearity, nonstationarity and multiparametration of technological processes in the manufacturing facility.