City Research Online

Abstract

Currently, the urgent problem is to ensure the ability of recognizing the situations and supporting the decision-making in the «Smart House» cyber-physical system. The purpose of this study is recognizing the situations and supporting the decision-making in the residential luminosity control subsystem of «Smart House» cyber-physical system. The developed in this paper method for setting up the residential luminosity control subsystem of «Smart House» cyber-physical system for each room allows to enter the necessary parameters for further automatic operation of the residential luminosity control subsystem of «Smart House» cyber-physical system. The developed method of recognizing the situations and supporting the decision-making in the residential luminosity control subsystem of «Smart House» cyber-physical system provides the user of the subsystem with the ability to quickly and conveniently configure the necessary lighting mode. In addition, the developed method provides for the recognition of various situations in the lighting scenario (sufficient light flow, insufficient light flow, excess light flow - according to the current lighting standards) and support for decision-making regarding the lighting of the home according to the lighting mode set by the user (reflecting/closing shading devices, turning on/off the lamps - depending on the recognized situation).

Publication Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Publisher Keywords:	Recognizing the situations, supporting the decision-making, cyber-physical system "Smart House", the residential luminosity control subsystem, luminosity, luminous flux
Subjects:	H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments:	School of Science & Technology > Computer Science > Software Reliability

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