The dissertation solves the urgent scientific and applied problem of ensuring situation recognition and automatic decision-making by the cyber-physical system “Smart Home” by developing methods and means of situation recognition and decision support in the cyber-physical system “Smart Home.”
The object of the study is the process of automatic decision-making by the cyber-physical system “Smart Home”.
The subject of the study is methods and means of automatic decision-making in the cyber-physical system “Smart Home”.
The purpose of the dissertation research is optimization of the situations recognizing and making the automatic decisions by the cyber-physical system “Smart Home” for three groups of controlled housing functions (microclimate, lighting, and multimedia) by developing methods and means of situation recognition and decision support in the cyber-physical system “Smart Home”.
The dissertation is the first to develop a detailed scenario model for controlling the microclimate (temperature and humidity), lighting, and multimedia in the cyber-physical system “Smart Home”, which, unlike known solutions that control these functions in isolation or only under binary conditions, ensures comprehensive and coordinated automatic decision-making for all three groups of functions at once, while integrating the calculation of the required number of lamps to achieve the target illuminance. Such a scenario model provides automatic generation of coordinated decisions for different types of premises based on the recognized situation and initial initialization parameters.
The dissertation also develops, for the first time, methods for making decisions regarding microclimate, lighting, and multimedia in the cyber-physical system “Smart Home”, which, unlike known solutions that control these functions in isolation, comprehensively and consistently ensure the automatic creation and maintenance of an optimal living environment. They guarantee flexible regulation of light flow (taking into account shading), maintenance of optimal thermal parameters and moisture concentration, as well as automatic prevention of exceeding sanitary noise standards, which generally increases the comfort, safety, and autonomy of residents in accordance with construction and sanitary-hygienic requirements.
The dissertation improves the method of initializing the subsystem for recognizing situations and supporting decision-making regarding microclimate, lighting, and multimedia in the cyber-physical system “Smart Home” as a complex procedure for the initial initialization of the subsystem, which, unlike known solutions, which are limited only to setting time or threshold parameters, provides the system with a comprehensive, multi-factor knowledge base – from soft real-time synchronization of time data and semantic labeling of rooms to the integration of technical characteristics of equipment (such as lamps, shading devices) and target priorities (start-up lighting mode). This method is a prerequisite for further situational analysis and autonomous decision-making regarding lighting, microclimate, and multimedia, allowing the system to start working based on the anticipated needs of residents.
The thesis further developed the architecture of the subsystem for recognizing situations and making decisions regarding lighting, microclimate, and multimedia in the cyber-physical system “Smart Home” cyber-physical system was further developed in this work, which, unlike narrowly specialized known solutions that control only one group of functions, provides comprehensive and coordinated control of three key comfort functions (lighting, microclimate, and multimedia). This architecture guarantees the automatic creation and maintenance of an optimal environment through simultaneous analysis and interrelated adjustment of all parameters based on a single scenario database, transforming the system from simple control to situational automatic decision-making.
The practical significance of the developed subsystem for the cyber-physical system “Smart Home” lies in the creation of an adaptive and highly comfortable user-oriented living environment. The realized situational decision-making ensures that microclimate, lighting, and multimedia parameters are adjusted in an interconnected manner to achieve a holistic state of comfort, which improves the quality of life of residents by creating a personalized and self-regulating environment.
The results of the dissertation are implemented in: LLC “Deymos”; NGO “IT Cluster of Khmelnytskyi”; in the educational process of Khmelnytskyi National University; in the educational process of Yevhenii Bereznyak Military Academy; in the implementation of state budget topic of Khmelnytskyi National University “System for detecting malware and computer attacks in corporate networks using false attack objects and traps” (State Research Project No. 0124U000980).
