Անորոշ տրամաբանության և նեյրոնային ցանցերի համադրմամբ խելացի ջեռուցման, հովացման և օդափոխության կառավարման համակարգ

Abstract

Intelligent heating, cooling, and ventilation control systems, combining fuzzy logic and neural networks, serve as a cornerstone of every building by ensuring comfortable indoor temperature and adequate air exchange. Modern buildings are subject to stringent requirements regarding occupant comfort, a healthy indoor environment, and economically efficient operation modes. The continuous increase in the cost of electricity, water supply, and heating services accounting for over 40% of the Republic’s total energy consumption necessitates the implementation of resource-saving technologies and thermal insulation materials to reduce heat loss in winter and air conditioning expenses in summer. However, limiting the volume of fresh air in enclosed spaces can pose health risks due to the development of mold and fungi, while uncontrolled ventilation leads to unnecessary energy consumption and undermines the effectiveness of energy-saving measures.