Abstract
The system of smart home climate control based on fuzzy logic and the Raspberry Pi microcomputer that ensures the operation of the heater, conditioner and humidifier of air has been developed. As a result of presenting input data using linguistic variables and fuzzy production rules for current values of temperature and relative humidity, output signals to control the functional devices of the smart home are obtained. The proposed approach is implemented using the Mamdani algorithm that includes the stages of fuzzification of input variables, aggregation of the truth of each rule sub-conditions, activation of conclusions and defuzzification of output variables. The application of fuzzy logic in the smart home climate control system makes it possible to take into account the individual characteristics and preferences of residents. Keywords: smart home, climate control system, fuzzy logic controller, production rules, fuzzy inference, Raspberry Pi.
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