• Title/Summary/Keyword: Abandon Ship

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Effects of a Hands-on training on Sea survival knowledge, Shipboard fire-fighting knowledge and Emergency response leadership in Seafarers -Focusing on the Advanced safety training for coastwise vessels under the Seamen Act- (체험 실습 교육이 현직 선원의 해상생존 및 선상소화 지식과 비상대응 리더십에 미치는 효과 -선원법상 국내선 상급안전재교육 중심-)

  • HAN, Se-Hyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.29 no.1
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    • pp.1-12
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    • 2017
  • The purpose of this study was to identify the effects of a hands-on training regarding maritime safety including abandon ship and fire-fighting as related to sea survival, fire-fighting knowledge and emergency response leadership in seafarers engaged on a seagoing ship. The study was conducted with a nonequivalent control group pre-posttest design. Two hundred-sixty-six participants were assigned to either the experimental group(128) or control group(138). The hands-on training regarding maritime safety included sea survival and fire fighting drill, and it was implemented with the experimental group for two days from July 1, 2015 to June 30, 2016. Data was analyzed using chi-square, t-test and ANCOVA by using IBM SPSS Statistics(version 24) program. The experimental group who had the hands-on training showed significantly higher sea survival knowledge(F=902.32, p<.001), shipboard fire-fighting knowledge(F=1013.76, p<.001) and emergency response leadership(F=1802.62, p<.001) for maritime safety compared with the control group who had traditional education. The results indicate that a hands-on training is an effective teaching method to improve sea survival, fire-fighting knowledge and emergency response leadership in seafarers engaged. Further study is needed to identify the effect of a hands-on training regarding maritime safety according to the environmental changes of seafarers.

A Study on the Prevention of Spill of Fuel Oils and Lubricating Oils for Sunken Ships

  • Han, Won-Heui;Ju, Hae-Ji
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.3
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    • pp.309-314
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    • 2015
  • A sunken ship often involves an oil spill. This paper was carried out to minimize environmental and cost damages stemming from oil spil of sunken shipl. Through the analysis of both the standards of the oil tank system and installation, we have identified potential oil spill sites and proposed a remedy of prevention. The result of study, the air pipes of the oil tank are a vulnerable point for oil spill. Also, the remote control devices of emergency shut-off valve have poor accessibility at abandon ship, making it difficult to shut off the emergency shut-off valve. Thus, we propose the addition of a remote quick closing valve in the air pipe and the building of a central control system.

Optimum Evacuation Route Calculation Using AI Q-Learning (AI기법의 Q-Learning을 이용한 최적 퇴선 경로 산출 연구)

  • Kim, Won-Ouk;Kim, Dae-Hee;Youn, Dae-Gwun
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.870-874
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    • 2018
  • In the worst maritime accidents, people should abandon ship, but ship structures are narrow and complex and operation takes place on rough seas, so escape is not easy. In particular, passengers on cruise ships are untrained and varied, making evacuation prospects worse. In such a case, the evacuation management of the crew plays a very important role. If a rescuer enters a ship at distress and conducts rescue activities, which zones represent the most effective entry should be examined. Generally, crew and rescuers take the shortest route, but if an accident occurs along the shortest route, it is necessary to select the second-best alternative. To solve this situation, this study aims to calculate evacuation routes using Q-Learning of Reinforcement Learning, which is a machine learning technique. Reinforcement learning is one of the most important functions of artificial intelligence and is currently used in many fields. Most evacuation analysis programs developed so far use the shortest path search method. For this reason, this study explored optimal paths using reinforcement learning. In the future, machine learning techniques will be applicable to various marine-related industries for such purposes as the selection of optimal routes for autonomous vessels and risk avoidance.

Analysis the dynamic factors on the capsize of O-Ryong 501 (제501오룡호 전복사고의 역학적 요인 분석)

  • KIM, Yong-Jig;KANG, Il-Kwon;HAM, Sang-Jun;PARK, Chi-Wan
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.51 no.4
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    • pp.520-526
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    • 2015
  • A tragic disaster happened by capsizing O-Ryong 501 trawler at Western Bering Sea in 1st, Dec. 2014. The disaster was caused by the severe weather and the long deferred escape from the storm in fully developed high sea. Lots of sea water from poop deck rushed into the fish ponder with fishes all together after hauling net and then remove the fishes from codend. The vessel became to incline to the one side caused by the weight and the free surface effect of flood sea waters and fishes at initial stage. In spite of crews all effort to discharge the waters, but the work was not achieved successfully. For the worse thing, the order of abandon ship was issued too late. After all, the ship capsized and sank, then almost crews became to the victims of the casualty including captain. In this paper, author carried out restrictively the calculation of dynamic factors influenced on the disaster including the weather condition and effects of the flood sea waters, and found out that the most important causes of the disaster were the decrease of stabilities, GM was decreased from 0.9m to 0.08 m, and the high waves which led to the vessel disaster.

The Development of a Ship Firefighting Drill Simulator (선박소화훈련 시뮬레이터 개발에 관한 연구)

  • Kim, Won-Ouk;Kim, Dae-Hee
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.5
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    • pp.410-416
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    • 2016
  • After the Sewol Ferry accident, the importance of maritime safety has been emphasized in Korea. In particular, educational and experience training are not only being conducted for maritime personnel but also in schools and at maritime-related organizations in order to broadly instill maritime safety awareness. Based on SOLAS regulations, safety education for sailors conducted every 10 days passenger boats, and fire-fighting drills and abandon-ship training should be conducted once a month on merchant ships. After the Sewol Ferry accident, the maximum number of trainees was reduced from 40 to 20 in order to improve the effectiveness of these training sessions by requiring all trainees to participate in the actual training. The current training process consists of two steps: textbook-based theoretical training and actual practice. Current training environment provides limited capability from human and facility recourses which limit the numbers of trainee participated and system operation time. By introducing the simulation training, it will improve the trainee skill and performance prior to the on-site training and allow the more effective and rapid progress on actual practice. Therefore, it will be proposed the three-step training method in order to improve the effectiveness on fire-fighting drill in Maritime Safety Education on this study. This study suggests a three step training method that would increase the efficiency of maritime safety education. An image-training step to enhance individual task awareness and equipment usage via simulation techniques after theoretical training has been added. To implement this simulation, a virtual training session will be conducted before actual training, based on knowledge obtained from theoretical training, which is expected to increase the speed with which trainees can adapt during the practical training session. In addition, due to the characteristics of the simulation, repeated training is possible for reaction drills in emergency circumstances and other various scenarios that are difficult to replicate in actual training. The efficiency of training is expected to improve because trainees will have practiced before practical training takes place, which will decrease the time needed for practical training and increase the number of training sessions that can be executed, increasing the efficiency of training overall. This study considers development methods for fire-fighting drill simulations using virtual reality techniques.