• 제목/요약/키워드: berthing velocity

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확률분포 특성을 이용한 탱커부두에서의 선박접안속도 예측값 추정 (Estimation of Berthing Velocity Using Probability Distribution Characteristics in Tanker Terminal)

  • 이상원;조장원;조익순
    • 한국항해항만학회지
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    • 제43권3호
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    • pp.186-196
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    • 2019
  • 선박의 접안과정 중 발생하는 접안에너지는 접안속도와 밀접한 관계가 있다. 접안속도가 과다할 경우 선박 및 부두에 손상이 발생하는 접안사고로 이어질 수 있으므로 적절한 접안속도를 설계하는 것이 중요하다. 선박접안속도의 경우, 일반적으로 대수정규분포를 따른다고 가정하고 있으나 국내에서는 이에 대한 검증이나 연구가 없어 해외의 사례를 바탕으로 설계접안속도를 설정하고 있는 상황이다. 이에 본 연구에서는 부두의 선박접안속도 분석을 통계학적으로 접근하여 실측데이터와 확률분포를 비교하여 가장 적합한 확률분포를 찾고자 하였다. 적합도 검정으로는 K-S(Kolmogorov-Smirnov) 검정, A-D(Anderson-Darling) 검정, Q-Q(Quantile-Quantile) 플롯 등을 이용하여 접안속도 실측치 분포에 적합한 확률분포를 확인하였다. 분석 결과, 접안속도의 빈도분포는 선박의 재화상태에 따라 만재 시, 대수정규분포, 경하 시에는 와이블분포와 적합함을 확인하였다. 또한 적합도 검정 결과를 이용하여 초과확률에 해당하는 접안속도 예측치를 산출하였다. 이 예측값과 해당 부두의 설계접안속도와 비교 해본 결과, 예측값이 설계값을 크게 초과함을 확인하였다. 이를 통해 설계 시의 접안속도가 현실과 맞지 않게 다소 낮게 설정되어 있음을 알 수 있으며, 이 결과를 바탕으로 적정 설계접안속도 산정법 개선에 기여할 수 있을 것으로 기대된다.

선박의 이/접안 데이터 분석을 통한 자동 이/접안 시 횡방향속도 참조모형 개발에 관한 연구 (A Study on Development of Sway Velocity Reference Model During Auto-berthing/Unberthing Through Analysis of Ship's Berthing/Unberthing Data)

  • 김정현;조현재;김수림;이준호;박종용
    • 대한조선학회논문집
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    • 제58권6호
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    • pp.358-365
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    • 2021
  • Crabbing motion is a pure sway motion with only sway velocity. The ship's crabbing motion is essential for an ideal berthing/unberthing process. The unberthing situation proceeds in sequential order such as crabbing motion section, pivoting section, and outer port section. For the berthing situation, the sequence has a reverse order: the inner port section, pivoting section, and crabbing motion section. In this paper, the berthing/unberthing data of the reference ship, Pukyong National University research ship "NARA", was analyzed to develop a sway velocity reference model. Several constraints were defined to derive the crabbing motion section during berthing/unberthing. The sway velocity reference model for the auto-berthing/unberthing was developed using the estimated sway velocity. A reproduction simulation of the ship was performed to compare the designed reference model and the reference ship data.

머신러닝 분류 알고리즘을 활용한 선박 접안속도 영향요소의 중요도 분석 (Analysis of Feature Importance of Ship's Berthing Velocity Using Classification Algorithms of Machine Learning)

  • 이형탁;이상원;조장원;조익순
    • 해양환경안전학회지
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    • 제26권2호
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    • pp.139-148
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    • 2020
  • 선박이 접안할 때 발생하는 접안에너지에 가장 영향력이 큰 요소는 접안속도이며, 과도한 경우 사고로 이어질 수 있다. 접안속도의 결정에 영향을 미치는 요소는 다양하지만 기존 연구에서는 일반적으로 선박 크기에 제한하여 분석하였다. 따라서 본 연구에서는 다양한 선박 접안속도의 영향요소를 반영하여 분석하고 그에 따른 중요도를 도출하고자 한다. 분석에 활용한 데이터는 국내 한 탱커부두의 선박 접안속도를 실측한 것을 바탕으로 하였다. 수집된 데이터를 활용하여 머신러닝 분류 알고리즘인 의사결정나무(Decision Tree), 랜덤포레스트(Random Forest), 로지스틱회귀(Logistic Regression), 퍼셉트론(Perceptron)을 비교분석하였다. 알고리즘 평가 방법으로는 혼동 행렬에 따른 모델성능 평가지표를 사용하였다. 분석 결과, 가장 성능이 좋은 알고리즘으로는 퍼셉트론이 채택되었으며 그에 따른 접안속도 영향요인의 중요도는 선박 크기(DWT), 부두 위치(Jetty No.), 재화상태(State) 순으로 나타났다. 이에 따라 선박 접안 시, 선박의 크기를 비롯하여 부두 위치, 재화 상태 등 다양한 요인을 고려하여 접안속도를 설계하여야 한다.

선박접안속도 분석과 안전도선에의 활용 (Analysis of Berthing Velocity of Ship and Application to Safe Pilotage)

  • 조익순;강은지
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2022년도 추계학술대회
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    • pp.149-150
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    • 2022
  • 항만 계류시설에 작용하는 접안력은 접안에너지에 근거하여 계산하게 된다. 접안력을 결정하는 절대적인 요소로서 현장에서 안전한 도선을 위해 주의해야 할 것이 바로 '선박접안속도'이다. 본 연구에서는 선박접안속도 관련 국내외 동향을 살펴보고, 안전하고 효율적인 부두설계 및 도선운영을 위한 기초자료로 활용하고자 국내부두에서 접안속도 실측데이터를 통계적 수단 및 알고리즘을 통해 분석하였다.

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Design of an adaptive backstepping controller for auto-berthing a cruise ship under wind loads

  • Park, Jong-Yong;Kim, Nakwan
    • International Journal of Naval Architecture and Ocean Engineering
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    • 제6권2호
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    • pp.347-360
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    • 2014
  • The auto-berthing of a ship requires excellent control for safe accomplishment. Crabbing, which is the pure sway motion of a ship without surge velocity, can be used for this purpose. Crabbing is induced by a peculiar operation procedure known as the push-pull mode. When a ship is in the push-pull mode, an interacting force is induced by complex turbulent flow around the ship generated by the propellers and side thrusters. In this paper, three degrees of freedom equations of the motions of crabbing are derived. The equations are used to apply the adaptive backstepping control method to the auto-berthing controller of a cruise ship. The controller is capable of handling the system non-linearity and uncertainty of the berthing process. A control allocation algorithm for a ship equipped with two propellers and two side thrusters is also developed, the performance of which is validated by simulation of auto-berthing.

A Study on Automatic Berthing Control of an Unmanned Surface Vehicle

  • Vu, Mai The;Choi, Hyeung-Sik;Oh, Ji-Youn;Jeong, Sang-Ki
    • Journal of Advanced Research in Ocean Engineering
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    • 제2권4호
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    • pp.192-201
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    • 2016
  • This study examined a PD controller and its application to automatic berthing control of an unmanned surface vehicle (USV). First, a nonlinear mathematical model was established for the maneuvering of the USV in the presence of environmental forces. A PD control algorithm was then applied to control the rudder and propeller during an automatic berthing process. The algorithm consisted of two parts, namely the forward velocity control and heading angle control. The control algorithm was designed based on longitudinal and yaw dynamic models of the USV. The desired heading angle was obtained using the "line of sight" method. Finally, computer simulations of automatic USV berthing were performed to verify the proposed controller subjected to the influence of disturbance forces. The results of the simulation revealed a good performance of the developed berthing control system.

Investigation of the refined safety factor for berthing energy calculation

  • Kim, Sang Woo;Lee, Seung Jae;Kim, Young Tae;Kim, Do Kyun
    • Structural Engineering and Mechanics
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    • 제75권6호
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    • pp.785-797
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    • 2020
  • As the growth of world trade has surged rapidly over the past years, the number is expected to continue growing over the coming years. Although the transportation costs can be reduced by using larger vessels, however, new berthing structures have to be constructed in order to cater for the larger vessels. This leads to a need for researching on designing a better berthing structure. For optimization of berthing structure design, we need to provide a better estimation of berthing energy than the previous methods in the existing guidelines. In this study, several berthing parameters were collected from previous works and researches. Moreover, the scenarios were selected efficiently by using a sampling technique. First, the berthing energy was calculated by executing 150 numerical simulations. Then, the numerical simulation results were compared with the results calculated by existing methods quantitatively to investigate the sensitivity of the berthing parameters and the accuracy of existing methods. The numerical method results have shown some deviation with respect to the existing method results in which the degree of deviation varies with the methods and the tendency of differences is dependent on certain berthing parameters. Then, one of the existing methods which has shown a small deviation was selected as a representative method and applied with several safety factors to obtain a suitable safety factor for the design.

비전 센서 및 딥러닝 기반 선박 접안을 위한 어라운드뷰 모니터링 시스템 (Vision Sensor and Deep Learning-based Around View Monitoring System for Ship Berthing)

  • 김한근;김동훈;박별터;이승목
    • 대한임베디드공학회논문지
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    • 제15권2호
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    • pp.71-78
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    • 2020
  • This paper proposes vision sensors and deep learning-based around view monitoring system for ship berthing. Ship berthing to the port requires precise relative position and relative speed information between the mooring facility and the ship. For ships of Handysize or higher, the vesselships must be docked with the help of pilots and tugboats. In the case of ships handling dangerous cargo, tug boats push the ship and dock it in the port, using the distance and velocity information receiving from the berthing aid system (BAS). However, the existing BAS is very expensive and there is a limit on the size of the vessel that can be measured. Also, there is a limitation that it is difficult to measure distance and speed when there are obstacles near the port. This paper proposes a relative distance and speed estimation system that can be used as a ship berthing assist system. The proposed system is verified by comparing the performance with the existing laser-based distance and speed measurement system through the field tests at the actual port.

선박 자동접안을 위한 순수 횡 이동 모델링 및 제어기 설계 (Modeling and controller design of crabbing motion for auto-berthing)

  • 박종용;김낙완
    • 한국해양공학회지
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    • 제27권6호
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    • pp.56-64
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    • 2013
  • Crabbing motion is the pure sway motion of a ship without surge velocity. Thus, it can be applied to a berthing operation. Crabbing motion is induced by a peculiar operation method called the push-pull mode. The push-pull mode is induced by using a combination of the main propeller and side thruster. Two propellers generating the same amounts of thrust and rotating in opposite directions produce some yawing moment on a vessel but do not induce longitudinal motion. With the additional operation of side thrusters, the push-pull mode is used to induce a large amount of lateral force. In this paper, three-degree-of-freedom equations of motion such as for the surge, sway, and yaw are constructed for the crabbing motion. Based on these equations of motion, a feedback linearization control method is applied to auto-berthing control for a twin-screw ship with side thrusters. The controller can deal with the nonlinearity of a system, which is present in the berthing maneuver of a twin screw ship. A simulation of the auto-berthing of a ship is performed to validate the performance of the designed controller.

Motion Identification using Neural Networks and Its Application to Automatic Ship Berthing under Wind

  • Im, Nam-Kyun;Kazuhiko Hasegawa
    • Journal of Ship and Ocean Technology
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    • 제6권1호
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    • pp.16-26
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    • 2002
  • In this paper, a motion identification method using neural networks is applied to automatic ship berthing to overcome disturbance effects. Motion identification is used to estimate the effect of environmental disturbance. Two rule-based algorithms have been developed to over-come disturbance. The first rule based-algorithm was designed to overcome lateral disturbance when a ship's lateral speed is affected by it. The second rule-based algorithm was also designed to overcome longitudinal disturbance when a ship's angular velocity is changed by it. Finally, numerical simulations for automatic berthing are carried out, and the suggested control system is proved to be more practical under disturbance circumstances.