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A Location-based Green Home Service using a Smart Phone

스마트폰을 활용한 위치 기반 그린 홈 서비스

  • 최진엽 (순천향대학교 컴퓨터학과 컴퓨터공학) ;
  • 전병찬 (청운대학교 방송영상학과) ;
  • 이상정 (순천향대학교 컴퓨터학과 컴퓨터공학)
  • Received : 2012.03.29
  • Accepted : 2012.06.08
  • Published : 2012.06.30

Abstract

In recent years, efficient energy management technologies are required, as environmental problems have emerged worldwide. In response to this, smart home services focused on efficient energy management technology seems to be emerging. And the integration of technology of user-oriented real-time energy monitoring and control systems is required. In this paper, we present a location-based green home service using smart phones for efficient energy management in a house. We design a green home network system to apply the green home service, and implement an integrated gateway system which connects and controls each appliance in a house. We develop appliance control services and indoor location services on smart phones, and determine whether user's occupancy of each room by measuring the location according to the variation of signal strength. In order to evaluate the performance of the energy savings, we have set up the scenarios of energy usage pattern and have compared the energy variation resulting from the application of the indoor location services with smart meters. A comparison of energy usage demonstrated that the energy saving of a house with the proposed location-based green home service was down up to 30%.

최근 환경 문제가 전 세계적으로 대두가 되면서 효율적인 에너지 관리 기술이 요구 되고 있다. 이러한 추세에 따라 앞으로의 홈 네트워크 서비스는 효율적인 에너지 관리 기술을 중심으로 한 스마트 홈 서비스 가 대두가 될 것으로 보이며 사용자 중심의 실시간 에너지 감시 및 제어 시스템의 통합 기술이 요구가 되고 있다. 본 논문에서는 주택 내 효율적인 에너지 사용 관리를 위하여 스마트폰을 이용하여 위치 기반 그린 홈 서비스를 제시한다. 단독 주택에 그린 홈 서비스를 적용하기 위한 그린 홈 네트워크 시스템을 설계하고 홈 네트워크를 구성하는 각 기기들과 연계하여 통합 게이트웨이를 구현한다. 스마트폰을 활용하여 가전 제어 서비스와 실내 위치 서비스를 구현하고 각 방의 신호세기 변화에 따른 위치 측위를 시행하여 사용자의 재실 여부를 확인한다. 에너지의 절감 여부를 확인하기 위해 에너지 사용 패턴에 대한 시나리오를 설정하고 스마트 미터를 활용하여 실내 위치 서비스 적용에 따른 에너지 변화를 비교하였다. 제안 시스템 적용 전과 적용 후의 에너지 사용량 비교 결과 최대 30%의 에너지 절감 효과를 보여 주택 내 에너지 비용의 절감 효과를 볼 수 있을 것으로 기대된다.

Keywords

References

  1. 2008 Energy Consumption Survey, Korea Energy Econimics Institute
  2. Young-Hoon Kwak et al., "Application of an EMS Simulation for Building Energy Saving ", SAREK conference, pp 145-150, 2010.
  3. Paramvir Bahl and Venkata N. Padmanabhan, "RADAR : An In-Building RF-Based User Location and Tracking System", INFOCOM 2000. Nineteenth Annual Joint Conference of the IEEE Computer and Communication Societies. Proceddings, pp 775-784, 2000.
  4. T Seidl and H. P. Kriegel, "Optimal Multi-Step k-Nearest Neighbor Search", Proc. ACM SIGMOD, 1998
  5. Kuo-Fong Kao and I-En Liao and Jia-Siang Lyu "An Indoor Location-Baed Service Using Access Points as Signal Strength Data Collectors", Indoor Positioning and Indoor Navigation (IPIN), 2010 International Conference, p 15-17, 2010.
  6. Marco Jahn and Marc Jentsch and Christan R. Prause and Ferry Pramudianto and Amro Al-Akkad and Ren' e Reiners, "The Energy Aware Smart Home", Fraunhofer Institute for Applied Information Technology FIT 5th International Conference on Future Information Technology (FutureTech), 2010
  7. Markus Eisenhauer and Peter Rosengren and Pablo Antolin "A development platform for integrating wireless devices and sensors into Ambient Intelligence systems", Sensor, Mesh and Ad Hoc Communications and Networks Workshops, SECON Workshops '09. 6th Annual IEEE Communications Society Conference, 2009.
  8. Hui-Kyung Oh, In-Cheol Kim, "WiFi Location Estimation in Indoor Environments using Gaussian Process", Journal of KIISE: Computing Practices and Letters Vol.17 No.10, Oct. 2011.
  9. RS-485 protocol for Home Network/Home gateway: Boiler, TTAProtocol (TTAKKO-0400-99). Telecommunications Technology Association.
  10. Takenori Okamura and Masahide Nakamura and Hiroshi Igaki "Finding Optimal Energy-Saving Operations in Home Network System Based on Effects between Appliances and Environment", Information and Telecommunication Technologies (APSITT) 2010 8th- Asia-Pacific Symposium, 2010.
  11. Choi Jin Yeop, Sang Jeong Lee, Byoung Chan Jeon, "Imaging Processing Design and Implementation of Home Network using Android Mobile Platform", IWIT 2010 Spring Conference Vol.8, No.1, p254-257, May 2010.

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