• 한국가스학회지
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• 제2권2호
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• pp.48-54
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• 1998

본 연구에서는 주 시스템이라고 할 수 있는 안전관리정보시스템(SMIS Ver 1.0, Safety Management Information System)과 이에 대한 자료 관리를 위한 부 시스템(subsystem)인 데이터베이스들을 개발하였다. 기업의 안전관리 정보화는 관리적인 측면과 기술적인 측면이 함께 고려되어야 하나 본 연구의 안전관리정보시스템은 안전기술에 대한 정보화를 위해 기술적인 측면의 관련 요소들을 크게 4가지 모듈로 구분하여 구성하였다. 이들을 상호 연관시켜서 가스산업의 안전정보를 효율적으로 운영하고, 위험성을 평가하며, 그 결과를 안전운전지침이나 비상계획 수립에 반영할 수 있게 하였다. 그리고 안전관리정보시스템을 지원 할 수 있는 사고관련 자료, 물질자료 및 장치관련 자료 등에 대하여 3개의 모듈로 데이터베이스를 구성하였다. 이를 통하여 현장에 분산되어 있던 자료를 입력 검색하게 함으로써 보다 체계적으로 자료를 관리할 수 있게 하였다. 또한 개발된 프로그램을 사례적용을 통하여 검증한 결과, 자료의 검색 및 저장 등이 용이하고, 특히 데이터베이스와 안전관리정보시스템의 연계로 안전 정보를 활용하는 구조체계가 간소화되어 기존의 문서화 작업에 소요되었던 인력 및 시간이 절약됨을 알 수 있었다.

• 대한조선학회논문집
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• 제41권3호
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• pp.41-48
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• 2004

Ship is being operated under a highly dynamic environments and many factors are related with ship's collision and those factors are interacting. So, the analysis on ship's collision causes are very important to prepare countermeasures which will ensure the safe navigation. This study analysed the ship's collision data over the past 10 years(1991-2000), which is compiled by Korea Marine Accidents Inquiry Agency. The analysis confirmed that ‘ship's collision' is occurred most frequently and the cause is closely related with human factor. The main purpose of this study is to propose risk control measures of ship's collision. For this, the structure of human factor is analysed by the questionnaire methodology. Marine experts were surveyed based on major elements that were extracted from the human factor affecting to ship's collision. FSM has been widely adopted in modeling a dynamic system which is composed of human factors. Then, the structure analysis on the causes of ship's collision are performed using FSM. This structure model could be used in understanding and verifying the procedure of real ship's collision. Furthermore it could be used as the model to prevent ship's collision and reduce marine accidents.

• 한국해양공학회지
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• 제26권1호
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• pp.60-63
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• 2012

The accident risks in the marine environment are increasing because of the tendency to build faster and larger ships. To secure ship safety, risk-based ship design (RBSD) was recently suggested based on a formal safety assessment (FSA). In the process of RBSD, a ship designer decides which risk reduction option is most cost-effective in the design stage using a cost-benefit analysis (CBA). There are three dimensions of risk in this CBA: fatality, environment, and asset. In this paper, we present an approach to estimate the environmental costs based on the size of an oil tanker involved in an accident using a neural network. An appropriate neural network model is suggested for the estimation,and the neural network is trained using IOPCF data. Finally,the learned neural network is compared with the cost regression equation by IMO MEPC 62/WP.13 (2011).

• 수산해양기술연구
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• 제60권2호
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• pp.161-169
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• 2024

This study employs Bayesian network analysis to quantitatively evaluate the risk of incidents in trap boats, utilizing accident compensation approval data spanning from 2018 to 2022. With a dataset comprising 1,635 incidents, the analysis reveals a mortality risk of approximately 0.011 across the entire trap boat. The study significantly identifies variations in incident risks contingent upon fishing area and fishing processes. Specifically, incidents are approximately 1.22 times more likely to occur in coastal compared to offshore, and the risk during fishing processes outweighs that during maintenance operations by a factor of approximately 23.20. Furthermore, a detailed examination of incident types reveals varying incidence rates. Trip/slip incidents, for instance, are approximately 1.36 times more prevalent than bump/hit incidents, 1.58 times more than stuck incidents, and a substantial 5.17 times more than fall incidents. The study concludes by providing inferred mortality risks for 16 distinct scenarios, incorporating fishing areas, processes, and incident types. This foundational data offers a tailored approach to risk mitigation, enabling proactive measures suited to specific circumstances and occurrence types in the trap boat industry.