바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

IR-UWB 센서 기반의 에어컨 서비스 알고리즘

Algorithm for Air Conditioning Service Based on IR-UWB Sensor

사물인터넷융복합논문지 / Journal of The Korea Internet of Things Society, (P)2799-4791;
2021, v.7 no.4, pp.1-7
https://doi.org/https://doi.org/10.20465/kiots.2021.7.4.001
김종민 (동신대학교)
강태형 (주식회사 조인트리)
류갑상 (동신대학교)
  • 다운로드 수
  • 조회수

초록

현재 스마트 가전의 새로운 시장수요를 만족하기 위해 IoT 기술을 이용한 제품의 기술 차별화(센서, AI 등)가 많은 호응을 얻고 있다. 그러나 에어컨 제품은 융합기술의 초기 단계에 있다. 따라서 에어컨 제품은 IoT를 넘어 정보 생산, 수집, 처리, 저장 및 서비스 개발의 ICT 기술이 필요한 분야이다. 우리가 제안하는 기술은 IR-UWB를 이용한 비접촉방식의 생체신호를 수집 및 저장한다. 생체신호에 따라 에어컨의 방향을 제어하고 사용자의 수면을 모니터링하여 최적의 숙면 환경을 제공한다. 그리고 불쾌지수 환경에 따라 에어컨의 최적조건과 감성조명의 변화로 쾌적함과 안락함 을 제공할 수 있는 서비스 알고리즘을 제안한다. 본 연구를 통하여 생체신호, 불쾌지수 및 감성조명의 ICT 기술을 에어 컨 서비스를 사용자들이 이용할 수 있도록 알고리즘을 연구하였다.

keywords
정보통신기술, 스마트 에어컨, 생체신호, IR-UWB, 플랫폼, ICT, Smart air conditioner, Bio-signal, IR-UWB, Platform

Abstract

Recently, technological differentiation(sensor, AI) of products using IoT technology to satisfy consumer needs in the mature market for smart home appliances has received a lot of positive responses. However, air conditioner products are in the early stages of convergence technology. Therefore, air conditioner products are fields that require ICT technologies for information production, collection, processing, storage, and service development beyond IoT. In this paper, we collect and store contactless bio-signal using IR-UWB radar technology. The blowing direction of the air conditioning is controlled according to bio-signal and user's sleep is monitored to provide an optimal sleep environment. In addition, we propose a service algorithm that can provide comfort with changes in the optimal conditions of air conditioning and emotional lighting depending on the discomfort index environment. Through this study, we developed an intelligent smart air conditioning service platform with ICT technology of bio-signal, discomfort index, and emotional lighting.

keywords
정보통신기술, 스마트 에어컨, 생체신호, IR-UWB, 플랫폼, ICT, Smart air conditioner, Bio-signal, IR-UWB, Platform

참고문헌

1.

J.H.Ryu, “Industry status and prospect – Home Appliance Industry : Forcusing on White Goods,” KEA, 2017. http://www.gokea.org.

2.

J.H.Choi, J.W.Choi & Y.I.Yoon, “IoT Platform Technology Review,” Korea Information Processing Society, Vol.23, No.3, pp.19-24, 2016.

3.

L.Min, G.Wenbin, C.Wei, H.Yeshen, W.Yannian, Z. Yiying, et al, “Smart Home: Architecture, Technologies, and Systems,” Procedia Computer Science, Vol.131, pp.393-400, 2018.

4.

J.H.Hong, & K.H.Lee, “A Scheme on Object Tracking Techniques in Multiple CCTV IoT Enviroments,”Journal of The Korea Internet of Things Society, Vol.5, No.1, pp.7-11, 2019.

5.

T.K.Kim, “IoT-based Indoor Localization Scheme,”Journal of The Korea Internet of Things Society, Vol.2, No.4, pp.35-39, 2016.

6.

S.S.Byun, “A Non-contact Realtime Heart Rate Estimation Using IR-UWB Radar,” Journal of Embedded Systems and Applications, Vol.14, No.3, pp.123-131, 2019.

7.

A.Q.Javaid, C.M.Noble, R.Rosenberg, &M.A.Weitnauer, “Towards Sleep Apnea Screening with an Under-the-mattress IR-UWB Radar Using Machine Learning,” Proceedings of IEEE International Conference on Machine Learning and Applications, pp.837-842, 2015.

8.

Y.J.Park, H.S.Cho, & H.K.Lyu, “A method of detection of respiration rate on Android using UWB Impulse Radar,” ICT Express, Vol.2, No.4, pp.145-149, 2016.

9.

K.W.Choi, C.S.Kim, C.S.Yang, & J.G.Lee, “A study on a target-tracking and noncontact type biosignal measurement system Using IR-Radar and Pan-Tilt system,” The Journal of the Korean Institute of Information and Communication Engineering, Vol.18, No.9, pp.2237-2242, 2014.

10.

J.W.Choi, Y.N.Lee, S.H.Cho, & Y.H.Lim, “Sleep Efficiency Measurement Algorithm Using an IR UWB Radar Sensor," The Korean Institute of Communications and Information Sciences, Vol.42, No.1, pp.214-217, 2017.

11.

J.C.Lee, “Design of Smart Pillow System for Managing Sleep Apnea,” Journal of the Korea Convergence Society, Vol.11, No.1, pp.33-39, 2020.

12.

D.W.Lee, S.I.Park, & M.C.Whang, “Emotion Recognition Method Using Heart-Respiration Connectivity,” Korean Society for Emotion and Sensibility, Vol.20, No.3, pp.61-70, 2017.

13.

Y.J.An, D.H.Kim, J.H.Lee, & B.J.Lee, “Indoor Environment Control System Utilizing The Internet of Things,” Journal of the Korea Institute of Electronic Communication Sciences, Vol.12, No.4, pp.645-650, 2017.

14.

D.H.Ryu, & T.W.Choi, “Development of Open IoT platform based on Open Source Hardware & Cloud Service,” Journal of the Korea Institute of Electronic Communication Sciences, Vol.11, No.5, pp.1065-1070, 2016.

15.

E.C.Thom, “The Discomfort Index,” Weatherwise, Vol.12, No.2, pp.57-61, 1959.

16.

Wikipedia. Respiratory rate. https://ko.wikipedia.org

사물인터넷융복합논문지