HVAC System Control Solutions Based on Modern IT Technologies: A Review Article

As energy consumption for building engineering systems is a major part of the total spent, it necessary to reduce it. This leads need development new solutions control heating, ventilation, and conditioning (HVAC) that are responsive humans their demands. In this review article, existing research technology advancements modern technologies computer vision neural networks application in HVAC studied. Objectives such as human detection location, activity monitoring, skin temperature detection, clothing level important operation precise, high-tech systems. article tries compile latest achievements principal on how information acquired. Moreover, parameters indoor air quality (IAQ), variable volume vision, metabolic rate, isolation can affect final The studies discussed have been tested real scenarios prove benefits using particular ventilation result, modernized shown advantages over currently applied typical non-automated by providing higher IAQ reducing unnecessary consumption.