Abstract
In modern smart buildings, the energy consumption of a building is monitored every time. Smart buildings are also equipped with sensors that can collect various physical data such as temperature, motion, and light. In this paper, we use smart sensor technologies in the design of an efficient elevator operating system (EOS). Specifically, multiple sensor devices are used together to detect elevator passengers’ behavior before they arrive at the elevator door and press the elevator call button. The detected information is then delivered to EOS through building networks and the scheduling system utilizes this information for the efficient control of the elevator cars. Specifically, when the number of passengers becomes large, EOS increases the number of working elevator cars to reduce the waiting time of passengers. In contrast, when the elevator traffic lessens, EOS reduces the number of working elevator cars in order to save the energy consumption. Experimental results with a wide range of configurations show that our EOS outperforms the conventional elevator scheduling system that does not consider sensor information or electricity price changes.
Highlights
With the recent advances in indoor sensor technologies as well as the increasing diffusion of smart meters, various kinds of smart living services within modern buildings are being realized
The results show that the proposed elevator operating system (EOS) performs better than the conventional elevator scheduling system in terms of the passengers’ average waiting time, the maximum waiting time, and the energy consumption of the elevator system significantly
Our EOS is different from conventional elevator scheduling systems in that it adaptively controls elevator scheduling considering the passenger traffic monitored by indoor sensor technologies, thereby minimizing the energy consumption as well as the passenger’s waiting time
Summary
With the recent advances in indoor sensor technologies as well as the increasing diffusion of smart meters, various kinds of smart living services within modern buildings are being realized. HVAC controls the air condition and temperature of a building according to the weather and the existence of human beings in the building Elevator scheduling is another important service that can be involved in sensor technologies in a smart building. The proposed EOS recognizes the arrival of passengers with indoor sensor technologies before they press the call buttons, which is used for efficient scheduling of elevator cars. On the other hand, when the elevator traffic lessens, EOS reduces the number of working elevator cars This will eventually save the energy cost. The results show that the proposed EOS performs better than the conventional elevator scheduling system in terms of the passengers’ average waiting time, the maximum waiting time, and the energy consumption of the elevator system significantly
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