PMV calculation and intelligent control algorithm for location-based human adaptive air-conditioner

If an appliance perceives the location or health condition of a resident in the smart home, it can provide more intelligent service actively. Thus, residents manually control the air conditioning in a passive service environment, whereas a location-based human-adaptive air conditioner autonomously regulates the temperature in a smart home according to residents' patterns of living or health status. This research is focused on developing a human-adaptive air conditioner that functions by measuring human factors with a non-terminal-based indoor positioning system, to provide high-quality intelligent service. In this paper, the feasibility of the design is evaluated experimentally on a test bed, using a pyroelectric infrared sensor-based location-aware system (PILAS) as the positioning system.