DOI QR코드

DOI QR Code

A Study on the Information Management System Support for the Intelligent Autonomous Navigation Systems

지능형 자율운항시스템 지원을 위한 정보 관리 시스템에 관한 연구

  • Kim, Eun-Kyoung (Department of Computer Science and Engineering Research Institute(ERI), Gyeongsang National University) ;
  • Kim, Yong-Gi (Department of Computer Science and Engineering Research Institute(ERI), Gyeongsang National University)
  • 김은경 (경상대학교 컴퓨터과학과 및 공학연구원) ;
  • 김용기 (경상대학교 컴퓨터과학과 및 공학연구원)
  • Received : 2014.12.09
  • Accepted : 2015.04.17
  • Published : 2015.06.25

Abstract

The rapid increase of the current marine accidents is mainly due to the human execution errors. In an effort to address this, various kinds of researches such as construction of the digital vessels and vessel information monitoring systems have been conducted. But for safe navigation of vessels, it lack on systems study which can efficiently store, utilize and manage the mass data accepted by the vessel. In this paper, we propose a VWS(Virtual World System) that is based on the architecture of intelligent systems RVC(Reactive Layer-Virtual World-Considerative Layer) model of intelligent autonomous navigation system. VWS is responsible to store all the necessary information for safe navigation of the vessel and the information services to the sub-system of intelligent autonomous navigation system. VWS uses topology database to express the specific problem area, and utilizes a scheduling to reflect the characteristics of the real-time processing environment. Also, Virtual World defines API for the system to reflect the characteristics of the distributed processing environment. As a case study, the VWS is applied to a intelligent ship autonomous navigation system, and simulation is done to prove the effectiveness of the proposed system.

최근 들어 급증하고 있는 해양사고의 주요 원인은 인간의 수행 오류에 기인하고 있다. 이를 해결하기 위해 디지털 선박의 구축, 선박 정보의 모니터링 시스템 등의 다양한 연구가 진행되었다. 그러나 선박의 안전한 항해를 위해 다양한 형태의 대량 정보를 효율적으로 저장하고, 이용하고, 관리하는 시스템에 대한 연구가 미흡하다. 본 논문은 지능형 자율운항시스템의 아키텍쳐인 RVC 지능시스템 모델을 기반으로 하는 VWS(Virtual World System)을 제안한다. VWS는 선박의 안전 항해에 필요한 모든 정보를 저장하고 지능형 자율운항시스템의 부시스템에 정보를 서비스한다. VWS는 특정 문제 영역을 표현하기 위하여 토폴로지 데이터베이스를 이용하고, 실시간 처리 특성을 반영하기 위하여 스케줄링을 도입하였다. 또한 분산 처리 특성을 반영하기 위하여 가상세계 API를 정의하였다. 본 논문에서는 설계된 VWS를 지능형 선박 자율운항시스템에 장착하고 시뮬레이션을 통하여 그 효율성을 입증해 보였다.

Keywords

References

  1. Chauvin, C., Lardjane, S., Morel, G., Clostermann, J. P., Langard, B., "Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS", Accident Analysis & Prevention, vol. 59, pp.26-37, 2013 https://doi.org/10.1016/j.aap.2013.05.006
  2. DoYeon Kim, GyeiKark Park, HwaYoung Kim, "A Study on the Ship Information Fusion with AIS and ARPA Radar using by Blackboard System", Journal of Korean Institute of Intelligent Systems, vol. 24 no. 1, pp.16-21, 2014. https://doi.org/10.5391/JKIIS.2014.24.1.016
  3. Yongkon Lim, Jongwon Park, "An Implementation of an Intelligent Digital Ship", Journal of the Society of Naval Architects of Korea, vol. 45 no. 5, pp. 554-561, 2008. https://doi.org/10.3744/SNAK.2008.45.5.554
  4. Jongan Park, Seonggwan Kang, TaeJin Ha, Jimin Lee, Sangeon Uh, "Design of a smart vessel platform for remote monitoring", Advanced Science and Technology Letters, vol. 29, pp. 198-202, 2013.
  5. ByeongTae Moon, YoungHa Ryu, and GiJung Joe, "Study on Software Architecture for Intelligent Vessel Navigation Analysis", Journal of Korean Institute of Intelligent Systems, vol. 22, no. 5, pp. 583-589, 2012. https://doi.org/10.5391/JKIIS.2012.22.5.583
  6. ChangMin Kim, YongGi Kim, "A Study Intelligent Control Architecture for Unmanned Autonomous Vehicles", Journal of the Korea Institute of Military Science and Technology, vol. 4. no. 2, pp. 249-255, 2001.
  7. Hee Jung, SeongGon Kim, YongGi Kim, "Use of Fuzzy technique for Calculating Degree of Collision Risk in Obstacle Avoidance of Unmanned Underwater Vehicles", Journal of Korean Institute of Intelligent Systems, vol. 21, no. 1, pp. 112-119, 2011. https://doi.org/10.5391/JKIIS.2011.21.1.112
  8. SeongGon Kim, YongGi Kim. "An autonomous navigation system for unmanned underwater vehicle", INTECH Open Access Publisher, pp.279-294, 2009.
  9. WonHo Lee, ChangMin Kim, JoongLak Choi, YongGi Kim, "A Ship Motion Control System for Autonomous Navigation", Journal of KISS : computing practices, vol. 9, no. 6, 2003.
  10. WonHo Lee, ChangMin Kim, YongGi Kim, "Simulator design for autonomous ship navigation system using intelligence techiniques", Proceddings of KFIS Conference, vol. 11 no. 2, pp. 169-172, 2001
  11. Turner, R. M., Blidberg, D. R., Chappell, S. G., Jalbert, J. C., "Generic behaviors: An approach to modularity in Intelligent systems control," Proceedings of the 8th International Symposium on Unmanned Untethered Submersible Technology, pp. 106-106, 1993.
  12. S. B. Andersson and D. Hristu, "Symbolic feedback control for navigation," IEEE Trans. on Automatic Control, vol. 51, no. 6, pp. 926-937, 2006. https://doi.org/10.1109/TAC.2006.878280
  13. M. Egerstedt, E. Frazzoli, and G. Pappas, "Special section on symbolic methods for complex control systems," IEEE Transactions on Automatic Control, vol. 51, no. 6, pp. 921-923, 2006. https://doi.org/10.1109/TAC.2006.876964
  14. In K. Lee, Dong J. Lee, Suk G. Lee, and Soon H. Kwon, "Cognition-based Navigational Planning for Mobile Robots", Journal of Korean Institute of Intelligent Systems, vol. 14, no. 2, pp. 171-177, 2004. https://doi.org/10.5391/JKIIS.2004.14.2.171
  15. Rosenblatt, J., Williams, S., & Durrant-Whyte, H., "A behavior-based architecture for autonomous underwater exploration", Information Sciences, vol. 145, pp. 69-87, 2002. https://doi.org/10.1016/S0020-0255(02)00224-4
  16. A. Brunete, M. Hernando, E. Gambao, J.E. Torres, "A behaviour-based control architecture for heterogeneous modular, multi-configurable, chained micro-robots", Artificial Intelligence, vol. 175, Issues 5-6, pp. 942-949, 2011. https://doi.org/10.1016/j.artint.2010.11.026
  17. HyunSik Kim, HyunJoo Kang, YounJae Ham, SeungSoo Park, "Development of Underwater-type Autonomous Marine Robot-kit", Journal of Korean Institute of Intelligent Systems, vol. 22, no. 3, pp. 312-318 https://doi.org/10.5391/JKIIS.2012.22.3.312
  18. S.K. Das, S.N. Shome, S. Nandy, D. Pal, "Modeling a hybrid reactive-deliberative architecture towards realizing overall dynamic behavior of an AUV", Procedia Computer Science, vol. 1, Issue 1, pp. 259-268, 2010. https://doi.org/10.1016/j.procs.2010.04.029
  19. Carlos C. Insaurralde, "Autonomic computing technology for autonomous marine vehicles", Ocean Engineering, vol. 74, pp. 233-246, 2013. https://doi.org/10.1016/j.oceaneng.2013.05.011
  20. JeomDong, Yoon, COLREGs, 1972 and Related Domestic Rules in Korea, Sejong Publ., 2000.

Cited by

  1. A Study on the Implementation of Intelligent Navigational Risk Assessment System for High-risk Vessel using IoT Sensor Gateway vol.26, pp.3, 2016, https://doi.org/10.5391/JKIIS.2016.26.3.239