• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.6
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• pp.726-734
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• 2019

The current maritime industry is expected to have a significant impact on the role of maritime-related technologies and systems, especially seafarers, in the rapidly changing Fourth Industrial Revolution. The Maritime Autonomous Surface Ship (MASS) aims to reduce the number of safety accidents and improve seafarers' working environment. With regard to MASS, the International Maritime Organization has been trying to minimize unexpected impact in the maritime education and training sector by establishing international conventions such as the Standards of Training, Certification and Watchkeeping for Seafarers. However, domestic designated educational institutions have not yet established an education and training scheme to develop seafarers who will be on board for MASS. Therefore, this paper reviews the technology of MASS, analyzes the changes in education and training in order to upgrade the qualifications, and suggests the competencies of smart seafarers equipped with the integrated management ability required for Artificial Intelligence, Big Data, Cybersecurity, and the Digital System Revolution through education and training. In addition, this study provides basic information for the education and training of seafarers who are optimized for the rapidly changing technological environment.

• Journal of Advanced Navigation Technology
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• v.23 no.4
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• pp.296-301
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• 2019

Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2016.05a
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• pp.332-335
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• 2016

2000년대 들어 정보기술의 발달로 정보공유와 수집을 쉽게 할 수 있게 되면서 많은 정보를 활용하여 미래의 사람들의 행동과 생각을 예측하기에 이른다. 특히, 정부는 보안과 위험관리 분야에 빅데이터 개념을 도입하여 미래에 대한 위험을 예측하고 효과적으로 관리할 수 있게 되었다. 선박도 사람과 마찬가지로 선박운항과 관련된 수많은 정보들을 만들어낸다. 이렇게 생성된 정보는 각 기관에 흩어져 관리되고 있으며, VTS센터에서 수집되는 정보들은 아직까지 체계적인 관리조차 이루어지지 않고 있다. 본 제언은 국내 VTS센터, 나아가 인근 국가의 VTS센터에서 생성되는 각종 정보들과 관련 기관에서 활용되는 정보들을 한 곳에서 통합하여 관리하는 시스템을 구축하고 이곳에서 공유 분석되는 정보를 통해 조금이나마 선박사고의 위험성을 감소시킬 수 있는 관제 방법에 대해서 생각해보았다. 이에 대한 방안 중 하나로 정보공유를 통한 선박 사고 개연성 예측 모델을 제시하고자 한다. 이후 연구를 통해, 본 제언에서 제시된 사고 개연성 예측 모델을 위한 위험유발 인자와 사고의 발생과의 상관을 통계적으로 해명할 수 있게 된다면 본 모델을 활용하여 보다 선제적이고, 효율적인 선박관제를 수행할 수 있을 것으로 생각된다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.311-313
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• 2023

자율운항선박, 스마트 해상물류 등 미래 해상환경의 패러다임 변화에 대응하여 항로표지 현장시설을 고도화하고 신해상교통인프라 지능화 및 정보서비스 개발을 위해 스마트 항로표지 및 연계기술 개발 사업을 수행하고 있다. 본 사업의 1단계 연구 성과로 스마트 항로표지 통합플랫폼과 항로표지 서비스 성능시험환경이 구축되는데, 본 연구에서는 스마트 항로표지 통합 플랫폼에 설치된 각종 센서에서 수집된 정보를 육상의 성능시험환경으로 연동 시험에 관한 시나리오를 설계하였다. 스마트 항로표지 통합 플랫폼 및 장착되는 센서에 사전에 설계된 해양자원명을 부여하고 항로표지 정보관리시스템의 등록하는 절차를 제시하였고, 실시간으로 수집되는 항로표지 정보를 연동하여 빅데이터 분석 플랫폼으로 저장하고, 저장한 정보를 항로표지 서비스로의 적용과 활용에 관한 시나리오 설계 결과를 검토하였다.

• Journal of Navigation and Port Research
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• v.42 no.6
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• pp.437-445
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• 2018

IMO (International Maritime Organization) has been strengthening the regulations of ship emission gas such as sulfur oxides (SOX), nitrogen oxides (NOX) and carbon dioxides (CO2) to protect the marine environment. Especially, ECA (Emission Control Area) has been set and operated in the USA and US. As a countermeasure against these environmental regulations, the demand for environmentally, friendly and highly efficient vessels has led to a growing interest in technology related research with respect to electric propulsion systems capable of reducing exhaust gas. Container ships were excluded from the application coverage of the electric propulsion systems for reasons of operation at economical speed. However, in the future, the need for electric propulsion system is expected to rise, because it is easy to monitor and control so that it can be an applicate to smart ship which are represented by fourth industrial revolution technology. In this study, research was carried out to design a generator and battery capacity through the load analysis of the 6,800TEU container ship to apply the electric propulsion system of the container ship. A capacity design based on the load analysis has an advantage that the generator can be operated in a high efficiency section through the load distribution control using the battery.