쾌적수면을 위한 에어컨 알고리즘에 관한 실증연구

Empirical Study of Air Conditioner Control Algorism for Comfort Sleeping

  • 금종수 (부경대학교 기계공학부) ;
  • 김동규 (부경대학교 기계공학부)
  • Kum, Jong-Soo (Department of Mechnical Engineering, Pukyung National University) ;
  • Kim, Dong-Gyu (Department of Mechnical Engineering, Pukyung National University)
  • 발행 : 2008.12.10

초록

The study was to evaluate the air-conditioning of sleep algorithm. The algorithm was developed through the analysis of brain waves and MST, the experiments using air conditioner was performed in a apartment bedroom. Five female subjects were participated for the experiment. Eight hours of data collection a day was performed under different algorithm, case A, case B and case C. Physiological signals, EEG, ECG, EOG, and EMG, were obtained using polygraph and converted into digital signal. Then, subjects were asked to answer the questionnaire about their thermal sensation after experiment in bedroom. Sleep stages were classified, then TST, Sleep latency and Sleep efficiency were calculated for the three different air conditioner algorithm. As results, TST, Sleep efficiency, questionnaire showed the higher values for Case B algorism than that for other algorism. On the other hand, SWS latency was lower than for other conditions. Therefore, it was concluded that Case B of the algorithm was the best for comfortable and deep sleep.

키워드

참고문헌

  1. Soon Won Lee and Soo Ae Kwon, 1997, Thermal Environment and Bed climate on Ondol during sleeping in each season, Journal of the Korean Socity of Clothing and Textiles, Vol. 21, No. 7, pp. 1162-1172
  2. Dong-Gyu Kim and Jong-Soo Kum, 2005, Evaluation of Thermal Comfort during Sleeping in summer(Part I: On results of questionnaire before and after sleep), Korean Jounal of Air-Conditioning and Refrigeration Engineering, Vol. 17, No. 5, pp. 1-6
  3. Dong-Gyu Kim, Jong-Soo Kum and Jong-Il Park, 2006, Evaluation of Thermal Comfort during Sleeping in summer(Part II : About mean Skin Temperatures and Physiological Korean Jounal of Air-Conditioning and Refrigeration Engineering, Vol. 18, No. 1, pp. 1-6
  4. Dong-Gyu Kim, Jong-Soo Kum and Se- Hwan Kim, 2006, Evaluation of Thermal Comfort during Sleeping in summer(Part III : About indoor air temperatures rise, Korean Jounal of Air-Conditioning and Refrigeration Engineering, Vol. 18, No. 7, pp. 535-540
  5. Dong-Gyu Kim, Jong-Soo Kum and Jong-II Park, 2007, Evaluation of Thermal Comfort during Sleeping in summer(Part IV : Study on Indoor Temperature Conditions for Comfort Sleep), Korean Jounal of Air-Conditioning and Refrigeration Engineering, Vol. 19, No. 4, pp. 307-312
  6. Rechtschaffen A. and Kales A., 1968, A manual of standardized terminology techniques and scoring systems for sleep stages of human subjects, Los Angeles Brain Information Service/Brain Research Institute, UCLA
  7. R. Armitage, 1995, The distribution of EEG frequencies in REM and NREM sleep stages in healthy young adults, Sleep, Vol. 18, No. 5, pp. 334-341 https://doi.org/10.1093/sleep/18.5.334
  8. Haskell, E. H. and Palca, J. W., 1981, The Effects of high and low Ambient Temperature on Human Sleep, Electroencephalography and Clinical Neurophysiology, pp. 494-501
  9. Hiroyuki Ogino, Yayoi Nishida, Akio Tajima, Teruo Yamamoto and Katsumi Ishi, 1987, The effects of the temperature of the bed upon sleep(Part 2), The Eleventh Symposium on Man-Thermal Environment System, pp. 10-13