• Title/Summary/Keyword: 운항 성능

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선박 충돌위험도 식별 시스템의 성능 시험

  • Son, Nam-Seon;Pyo, Chun-Seon;Lee, Chan-Su;O, Chang-Hyeon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2012.06a
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    • pp.496-498
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    • 2012
  • 선박이 운항중 타선과의 충돌상황을 효과적으로 신속하게 파악하는 데 도움을 줌으로써 선박 충돌사고를 방지하기 위한 선박충돌위험도 식별시스템을 개발하였다. 지난 연구에서는, 고안된 시스템의 성능을 검증하기 위해 부산항에서 일어난 제품운반선과 화물선간의 충돌사고의 실제 AIS 데이터를 이용한 재생시뮬레이션을 수행한 바 있다. 본 논문에서는 선박충돌위험도 식별 시스템의 테스트베드를 구축하였고, 실제 해상에서 AIS 신호를 이용하여 성능을 검증해 보고자 하였다. 이를 위해, 군산항과 인천항의 연안여객선에 테스트베드를 장착하고, 실제 운항중 AIS 정보를 이용하여, 실시간으로 선박충돌위험도 식별시스템의 온보드 시험을 수행하였다. 본 논문에서는 선박충돌위험도 식별 시스템의 테스트베드의 특징과, 실제 해상에서 수행된 온보드 시험 결과에 대해 소개하였다.

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Evaluation of Seakeeping Performance for Regulation of Vessel Traffic Control(I) (선박의 출항통제기준 마련을 위한 내항성능 평가(I))

  • Jung, Chang-Hyun;Kong, Gil-Yong
    • Journal of Navigation and Port Research
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    • v.32 no.10
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    • pp.785-791
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    • 2008
  • Because of increasement on the transportation of goods by ship and the operation of coastal ships for leisure, the interest of marine parts is growing up lately and then the safe navigation of ships are essential. In these circumstances, it is necessary that it should be examined the regulation of vessel traffic control in effect. Therefore, the wave height is analyzed on korean coast, and then the seakeeping performance with the wave height and the various hull types on operating on the coast is evaluated. These results will be helpful to the improvement of the regulation of vessel traffic control and safe navigation of coastal passenger ships.

Simple Kinematic Model Generation by Learning Control Inputs and Velocity Outputs of a Ship (선박의 제어 입력과 속도 출력 학습에 의한 단순 운동학 모델 생성)

  • Kim, Dong Jin;Yun, Kunhang
    • Journal of Navigation and Port Research
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    • v.45 no.6
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    • pp.284-297
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    • 2021
  • A simple kinematic model for the prediction of ship manoeuvres based on trial data is proposed in this study. The model consists of first order differential equations in surge, sway, and yaw directions which simulate the time series of each velocity component. Actually instead of sea trial data, dynamic model simulations are conducted with randomly varied control inputs such as propeller revolution rates and rudder angles. Based on learning of control inputs and velocity outputs of dynamic model simulations in sufficient time, kinematic model coefficients are optimized so that the kinematic model can be approximately reproduce the velocity outputs of dynamic model simulations with arbitrary control inputs. The resultant kinematic model is verified with new dynamic simulation sets.