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http://dx.doi.org/10.5391/JKIIS.2015.25.2.147

Human Detection and Fuzzy Temperature Control System for Energy Reduction of Cooling Device in Elevator  

Eum, Hyukmin (School of Electrical and Electronic Engineering, Yonsei University)
Jang, Sukyoon (LJTEC Co. Ltd & Electronics and Telecommunications Research Institute)
Lee, Heejin (Department of Electrical, Electronic and Control Engineering, Hankyong National University)
Park, Mignon (School of Electrical and Electronic Engineering, Yonsei University)
Yoon, Changyong (Department of Electrical Engineering, Suwon Science College)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.2, 2015 , pp. 147-154 More about this Journal
Abstract
In this paper, we propose human detection and fuzzy temperature control system for energy reduction of cooling device in elevator. In order to improve problems of existing cooling device using the refrigerant, energy reduction and efficient management are continuously achieved because of operation of thermoelectric cooling device using the human detection and fuzzy temperature control system. The proposed system confirms the number of passengers in elevator and temperature is then controlled by those numbers and an average temperature for the season in fuzzy system. The human detection method scans the number of passengers using a head part as a feature based on bird's-eye view camera in elevator. The fuzzy system determines elevator internal temperature considering atmospheric temperature and the scanned passenger numbers as a look-up table. The proposed system reduces energy of the cooling device through the human detection and temperature control. In experiment, energy reduction is confirmed and the performance of the proposed system is verified.
Keywords
Elevator; Cooling Device; Human Detection; Fuzzy System; Temperature Control;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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