• Title/Summary/Keyword: 선박충돌위험도

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A development of video-complex remote monitoring system for offshore plant (영상복합형 해양플랜트 원격 관제 시스템 개발)

  • Kim, Hun-Ki;Hwang, Hun-Gyu;Yoo, Gang-Ju;Lee, Jang-Se;Park, Hyu-Chan;Shin, Ok-Keun;Lee, Seong-Dae
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.1
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    • pp.56-63
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    • 2014
  • An offshore plant needs costly maintenance and has difficulty coping with various accidents coming from the exposure to the environmental threats such as typhoons, tidal waves and etc., in addition to the artificial ones such as fire, collision of ships and etc. In this paper, we develop the video-complex remote monitoring system for an offshore plant, using AtoN AIS and multi-stage database to monitor an offshore plant and solve those problems. The system handles real time video cameras to collect and monitor images on an offshore plant. So, users can be exactly and quickly aware of the information on various situations with the monitoring application based on ENC.

3D A*-based Berthing Path Planning Algorithm Considering Path Following Suitability (경로 추종 적합성 고려 3D A* 기반 접안 경로 계획 알고리즘 개발)

  • Yeong-Ha Shin
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.351-356
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    • 2022
  • Among the path planning methods used to generate the ship's path, the graph search-based method is widely used because it has the advantage of its completeness, optimality. In order to apply the graph-based search method to the berthing path plan, the deviation from the path must be minimized. Path following suitability should be considered essential, since path deviation during berthing can lead to collisions with berthing facilities. However, existing studies of graph search-based berthing path planning are dangerous for application to real-world navigation environments because they produce results with a course change just before berthing. Therefore, in this paper, we develop a cost function suitable for path following, and propose a 3D A* algorithm that applies it. In addition, in order to evaluate the suitability for the actual operating environment, the results of the path generation of the algorithm are compared with the trajectory of the data collected by manned operations.

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Sea Fog Level Estimation based on Maritime Digital Image for Protection of Aids to Navigation (항로표지 보호를 위한 디지털 영상기반 해무 강도 측정 알고리즘)

  • Ryu, Eun-Ji;Lee, Hyo-Chan;Cho, Sung-Yoon;Kwon, Ki-Won;Im, Tae-Ho
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.25-32
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    • 2021
  • In line with future changes in the marine environment, Aids to Navigation has been used in various fields and their use is increasing. The term "Aids to Navigation" means an aid to navigation prescribed by Ordinance of the Ministry of Oceans and Fisheries which shows navigating ships the position and direction of the ships, position of obstacles, etc. through lights, shapes, colors, sound, radio waves, etc. Also now the use of Aids to Navigation is transforming into a means of identifying and recording the marine weather environment by mounting various sensors and cameras. However, Aids to Navigation are mainly lost due to collisions with ships, and in particular, safety accidents occur because of poor observation visibility due to sea fog. The inflow of sea fog poses risks to ports and sea transportation, and it is not easy to predict sea fog because of the large difference in the possibility of occurrence depending on time and region. In addition, it is difficult to manage individually due to the features of Aids to Navigation distributed throughout the sea. To solve this problem, this paper aims to identify the marine weather environment by estimating sea fog level approximately with images taken by cameras mounted on Aids to Navigation and to resolve safety accidents caused by weather. Instead of optical and temperature sensors that are difficult to install and expensive to measure sea fog level, sea fog level is measured through the use of general images of cameras mounted on Aids to Navigation. Furthermore, as a prior study for real-time sea fog level estimation in various seas, the sea fog level criteria are presented using the Haze Model and Dark Channel Prior. A specific threshold value is set in the image through Dark Channel Prior(DCP), and based on this, the number of pixels without sea fog is found in the entire image to estimate the sea fog level. Experimental results demonstrate the possibility of estimating the sea fog level using synthetic haze image dataset and real haze image dataset.

Stability Characteristics based on Crane Weight of Small Fishing Vessels Under Standard Loading Conditions: Investigation Report of the Capsize Accident at Goseong Port (크레인 교체에 따른 표준재화 상태에서의 소형 어선의 복원성 특성 - 고성항 전복 사고 재결서 중심 -)

  • Kang, Dae Kon;Lee, Gun Gyung;Lee, Jun Ho;Han, Seung Hun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.1
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    • pp.22-30
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    • 2020
  • In March 2016, a 6.67-ton fishing boat capsized owing to the loss of stability during crane operations. Capsizing occurs when a boat or ship is flipped over (or turned upside down) for reason other than accidents caused by collisions, contact, stranding, fire or explosion. Over the past nine years (2010-2018), capsize accidents have accounted for 2.34 % of all marine accidents and are gradually increasing. The loss of stability from improper shipping is the main cause of most capsizes, especially for small fishing vessels weighing 10 tons. According to the Fishing Vessel Act, small fishing vessels weighing less than a ton are exempted from inspections on stability and load cranes. This study analyzes the issue cited as the reason for the capsizing of the small fishing boat in Goseong, namely, the reduction of restoring moment due to increased weight of the crane. Fishing boats with similar loading conditions were modeled on the basis of re-determination, and their stability before and after the accident was assumed. The fishing boats with heavier cranes were found to be at higher risk of capsizing owing to the reduction of the restoring moment and the angle of deck immersion. Under standard loading conditions, the stability moments of fishing vessels are lesser during fishing, compared to when they depart from or arrive at the port.

The research on enhance the reinforcement of marine crime and accident using geographical profiling (지리적 프로파일링을 활용한 해양 범죄 및 해양사고 대응력 강화에 관한 연구)

  • Soon, Gil-Tae
    • Korean Security Journal
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    • no.48
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    • pp.147-176
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    • 2016
  • Korean Peninsula is surrounded by ocean on three sides. Because of this geographical quality over 97% of export and import volumes are exchange by sea. Foreign ship and international passenger vessels carries foreign tourist and globalization and internationalization increases this trends. Leisure population grows with national income increase and interest of ocean. And accidents and incidents rates are also increases. Korea Coast Guard's jurisdiction area is 4.5 times bigger than our country. The length of coastline is 14,963km including islands. One patrol vessel is responsible for 24,068km and one coast guard substation is responsible for 94km. Efficient patrol activities can not be provided. This research focus on this problem. Analyze the status and trends of maritime crime and suggest efficient patrol activities. To deal with increasing maritime crime rate this study suggest to use geographical profile method which developed early 1900s in USA. This geographical profile analyse the spatial characteristic and mapping this result. With this result potential crime zone can be predicted. One of the result is hot spot management which gives data about habitual crime zone. In Korea National Police Agency adopt this method in 2008 and apply on patrol and crime prevention activity by analysis of different criteria. Korea National Police Agency analyse the crime rate with crime type, crime zone and potential crime zone, and hourly, regionally criteria. Korea Coast Guard need to adopt this method and apply on maritime to make maritime crime map, which shows type of crime with regional, periodical result. With this geographical profiling we can set a Criminal Point which shows the place where the crime often occurs. The Criminal Points are set with the data of numerous rates such as homicide, robbery, burglary, missing, collision which happened in ocean. Set this crime as the major crime and manage the data more thoroughly. I expect to enhance the reinforcement of marine crime using this Criminal Points. Because this points will give us efficient way to prevent the maritime crime by placing the patrol vessel where they needed most.

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