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블랙보드 시스템을 이용한 AIS와 ARPA Radar의 선박 정보 융합에 대한 연구

A Study on the Ship Information Fusion with AIS and ARPA Radar using by Blackboard System

  • 김도연 (목포해양대학교 해상운송시스템학과) ;
  • 박계각 (목포해양대학교 해상운송시스템학과) ;
  • 김화영 (선박안전기술공단 해사안전연구센터)
  • Kim, Do-Yeon (Department of Maritime Transportation System, Mokpo National Maritime University) ;
  • Park, Gyei-Kark (Department of Maritime Transportation System, Mokpo National Maritime University) ;
  • Kim, Hwa-Young (Maritime Safety Research Center, Korea Ship Safety Technology Authority)
  • 투고 : 2013.09.01
  • 심사 : 2013.11.25
  • 발행 : 2014.02.25

초록

최근 해상교통 환경은 국가 간 해상 물동량의 증가, 해양레저 활동인구의 증가 등으로 선박 교통량이 늘어나고 있으며 이로 인한 해양사고 발생건수 및 가능성이 높아지고 있다. 해양사고의 주요 원인은 선박운항자의 인적요인에 의해 발생하고 있는 것으로 분석되고 있다. 이러한 인적요인에 의한 해양사고를 줄이기 위하여 항해사를 보조할 수 있는 여러 항해 보조 시스템에 대한 연구가 제안 되어 왔다. 하지만 여러 제안된 연구들에서 이용된 선박데이터는 대부분 오프라인의 데이터를 가정하여 분석하고 있어 실시간으로 시스템에 적용하기 위해 필요한 선박 데이터 관리기법 등에 대해서는 제시하지 못하고 있다. 따라서 본 연구에서는 선박의 항해통신장비인 AIS와 ARPA Radar 정보를 이용하여 선박 일치 여부를 판단할 수 있는 중요한 요소들을 복합적으로 고려하여 운항자에게 중요 정보를 제공하는 실시간 항행지원시스템 구축을 목적으로 하고 있다. 이 시스템 구축을 위해서 인공지능 기법 중 블랙보드 시스템을 이용하여 선박정보융합 알고리즘을 제안하고 그 유효성을 검증하였다.

In recent, the maritime traffic has increased with an increase in international trading volumes and the growing popularity of marine leisure activities. As increasing of maritime traffic, marine accidents happened continually and there are possibilities of accidents at sea. According to the analysis of marine accidents, most accidents occurred by human error of seafarers. To reduce the accidents by human error, the various assistance system for assist seafarers have been proposed. It is required to real-time data management method for applying to real-time system, but most proposed assistance system used off-line data for analysis. In this paper, we aim to build a navigation supporting system for providing safety information to deck officer with data of AIS(Automatic Identification System) and ARPA Radar(Automatic Radar Plotting Aids Radar), and proposed a management algorithm for real-time ship information with blackboard system and verified the validity.

키워드

참고문헌

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피인용 문헌

  1. Ship Detection Using Edge-Based Segmentation and Histogram of Oriented Gradient with Ship Size Ratio vol.15, pp.4, 2015, https://doi.org/10.5391/IJFIS.2015.15.4.251
  2. Pattern Recognition of Ship Navigational Data Using Support Vector Machine vol.15, pp.4, 2015, https://doi.org/10.5391/IJFIS.2015.15.4.268
  3. A Study on the Information Management System Support for the Intelligent Autonomous Navigation Systems vol.25, pp.3, 2015, https://doi.org/10.5391/JKIIS.2015.25.3.279