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Movement Monitoring System for Marine Buoy

해상 브이용 움직임 감시 시스템

  • Oh, Jin Seok (Division of Marine Engineering, Korea Maritime and Ocean University)
  • Received : 2013.11.22
  • Accepted : 2013.12.31
  • Published : 2014.02.28

Abstract

Buoy has different motion characteristics depends on the sea weather situations. The motion characteristics has an impact on antenna, solar power generation system and etc. installed within a buoy. Therefore, it is important to analyse motion characteristics for management and analyse the buoy conditions. This paper's Buoy motion monitoring system uses gyro sensor to detect motions of a light buoy, and the measured data transfers to the PC on the shore using signal processing algorithm. The aim of this research is to develop monitoring and management mechanism of a buoy by applying motion monitoring system. In this paper, the operation characteristic of movement monitoring system is verified through experiment. Further, in this paper, it can apply such as real-time visibility into the status of the buoy or many ocean facility's motion estimation of the future.

해상 브이는 해상 기상상태에 따라 운동 특성이 변한다. 브이의 운동특성은 브이에 설치된 안테나, 전력공급용 태양광 발전시스템 등의 성능에도 영향을 미친다. 그러므로 브이의 운동특성을 파악하여 브이 관리 및 상태 확인에 활용하는 것은 중요하다. 브이 움직임 감시 시스템은 자이로 센서를 이용하여 등부표의 운동 상태를 측정하며 측정된 값은 신호처리 알고리즘에 따라 육상의 PC에 전송한다. 본 연구에서는 움직임 감시 시스템을 적용하여 해상용 브이의 상태를 체계적으로 감시 및 관리 메카니즘을 구축하고자 하는 것이 연구의 목적이다. 본 논문에서 설계한 브이용 움직임 감시시스템은 향후 브이의 상태를 실시간으로 파악하거나 해상구조물의 움직임을 예측하는 연구 분야 등에 적용 유용하게 사용될 것이다.

Keywords

References

  1. GMT Co., Ltd, [Internet] http://www.gmtc.kr/sub01/sub_01_02.asp
  2. Korea Association of Aids to Navigation, (2007.02), "Present condition of Sea rout sigh", [Internet] http://www.kaan.or.kr/board/board_list.php?bis=10
  3. Mingyu Song etal., "Computer based Control and Monitoring using LabVIEW", The Korean Institute of Information Scientists and Engineers, 2004.10, Vol.31, No.2, pp.478-480.
  4. DR. DARKMATTER PRESENTS The Electronic Universe and educational outreach server, [Internet] http://zebu.uoregon.edu/-rayfrey/431/notes9.pdf
  5. Samsung Techwin, "Samsung Green Hospital Management System", [Internet] http://www.samsungtechwin.co.kr/_img/ menu1/bems_02.pdf.
  6. Cheol Hoon Han, Kwee Bo Sim, "Real Time Motion Estimation Algorithm for Mobile Surveillance Robot", Korean Institute of Intelligent Systems, vol 19, no 3, pp 311-316. 2009. https://doi.org/10.5391/JKIIS.2009.19.3.311
  7. Kwee Bo Shim, Hyung Bo Kim, "Multiple Objects Detection and Motion Tracking for Real-Time Video Surveillance Systems", Institute of Control, Robotics and Systems, pp. 696-699, 2010.05.27.-28.
  8. Jong Hoon Sohn, Gi Hyun Hwang, "Development of Position Recognition System by Wireless Communication", The Journal of Korea Information and Communications Society, vol 17, no 6, pp 1477-1486, 2013. https://doi.org/10.6109/jkiice.2013.17.6.1477
  9. Tae-Hak Ban, Tae Bum Cho, Hoe Kyung Jung, "Hybrid Web-based realtime video communication system", The Journal of Korea Information and Communications Society, vol 17, no 5, pp 1113-1118, 2013. https://doi.org/10.6109/jkiice.2013.17.5.1113

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