• Title/Summary/Keyword: Maritime Autonomous Surface Ship

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자율운항선박의 육상제어 기술 관련 ISO 국제표준 검토에 관한 기초연구

  • 전주영;임정빈
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.87-88
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    • 2022
  • 자율운항선박 (Maritime Autonomous Surface Ship, MASS) 관련 기술이 전 세계적으로 활발히 개발되고 있는 가운데, 우리나라에서도 여러 국가 연구개발 과제를 통한 기술개발이 진행 중 이다. 한편 우리나라 기술 기반의 표준화는 미흡한 수준이다. 국내 선도 기술에 대한 국제표준기구(ISO) 국제 표준 개발을 위하여 자율운항선박 기술 분야와 연계되어 개발되었거나 개발 중인 ISO 표준 분석을 진행하였고, 이를 기반으로 육상제어 기술에 대한 표준화 검토 결과를 제시할 예정이다.

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A Study on the Development of a Curriculum for Shore Remote Control Officer in Maritime Autonomous Surface Ship (MASS) (자율운항선박 육상원격제어사 교육과정 개발에 관한 연구)

  • PARK, HanKyu;KIM, SangHee;HA, MinJae
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.6
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    • pp.1002-1012
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    • 2022
  • As the fourth industrial revolution (Industry 4.0) evolves, studies on autonomous ships have been conducting in the shipping industry. Currently, two or three degrees of autonomous ships is in operation, and a shore remote control of icer (SRCO) monitors vessel operations and intervenes remotely where necessary in the service. However, as the curriculum for an SRCO has not been established internationally, the risk of an accident by an unqualified SRCO is increasing. In this study, specifies the curriculum required for SRCO that consists of suitable existing training and new training under remote control circumstances. This includes Non-technical skill training to enhance the effectiveness of an SRCO. This curriculum can be used for a new SRCO to evaluate training and competency specific safety standards, and to enable existing seafarers to become SRCOs through the necessary training.

Design and development of accident response support service for safe operation of MASS (자율운항선박의 안전운항을 위한 사고대응 지원서비스 설계 및 개발)

  • Gyeungtae Nam;Younggeun Lee;Namsu Kim;Chunsu Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.06a
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    • pp.441-442
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    • 2022
  • This is a study on the design and operation software development of an accident response support service for MASS(maritime autonomous surface ship) that provides accident response support information according to ship accident classification when a ship accident occurs due to the operation of MASS

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A Study on the Smart Maritime Traffic Safety Monitoring System Based on AI & AR (AI와 AR기반의 스마트 해상교통안전모니터링 시스템에 관한 연구)

  • Kim, Won-Ouk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.6
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    • pp.642-648
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    • 2019
  • Vessels sail according to the COLREG to prevent a collision. However, it is difficult to apply COLREG under special situation as heavy traffic, at this time personal skills of the operator are required. In this case, traffic control is required through the maritime traffic monitoring system. Therefore, maritime traffic management is globally implemented by VTS. In this system, VTS of icer uses the VTS system to assess risks and recommends possible safety operation to vessels with radio systems. This study considers that the risk analysis method with AI (Artificial Intelligence) technology from the operator's aspect. In addition, the research explains the Maritime Traffic Safety Monitoring System, Including AR (Augmented Reality) technology to increase vessel control efficiency. This system is able to predict hazards and risk priorities, and it leads to sequential elimination of dangerous situations. Especially, the hazard situations can be analyzed from operator's perspective of each vessel instead of the VTS officer's aspect, which is more practical than the conventional method. Furthermore, the result of analysis enables to comprehend quantitative hazardous areas and support recommended routes to avoid a collision. As a result, I firmly believe that the system will support to prevent a collision in complex traffic waters. In particular, it could be adopted as a collision prevention system for Maritime Autonomous Surface Ship, which occupies a significant proportion in Maritime 4th industrial revolution.

A Study on the Industrial Competitiveness Analysis of Domestic Autonomous Operation Technology Industry Based on the Porter's Diamond Model (국내 자율운항기술 분야의 산업경쟁력 분석 연구 - 포터(Porter)의 다이아몬드 모델을 기반으로)

  • PARK, Hye-Ri;PARK, Han-Seon
    • Journal of Navigation and Port Research
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    • v.46 no.3
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    • pp.203-208
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    • 2022
  • Recently, various digital technology issues such as e-Navigation, Maritime Autonomous Surface Ship (MASS) and Smart ships have constantly emerged in the maritime industry, based on the fourth industrial revolution. The International Maritime Organization is gradually tightening regulations for marine safety and marine environmental protection, and these strengthened regulations are leading to new maritime industries. Thus, the purpose of this study was to design a suitable model to analyze the industrial competitiveness of domestic autonomous operation technology industry, based on the Porter's diamond model. Based on a total of five evaluation factors and 13 detailed factors, the industrial competitiveness of the domestic autonomous operation technology industry was evaluated qualitatively and quantitatively. This industry, which is in the early stage of industrial development, was evaluated as 16.9 points relative to indexing industrial competitiveness. Currently, it is characterized by the simultaneous development of related regulations and core technologies, from the establishment of the scope of the industry. The industrial competitiveness evaluation considering these industrial characteristics is expected to serve as the basis for strategic support and new industrial policy, and impact a wide range of related industries such as shipping, logistics, ports, and shipbuilding and equipment industries.

Analysis of major issues in the field of Maritime Autonomous Surface Ships using text mining: focusing on S.Korea news data (텍스트 마이닝을 활용한 자율운항선박 분야 주요 이슈 분석 : 국내 뉴스 데이터를 중심으로)

  • Hyeyeong Lee;Jin Sick Kim;Byung Soo Gu;Moon Ju Nam;Kook Jin Jang;Sung Won Han;Joo Yeoun Lee;Myoung Sug Chung
    • Journal of the Korean Society of Systems Engineering
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    • v.20 no.spc1
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    • pp.12-29
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    • 2024
  • The purpose of this study is to identify the social issues discussed in Korea regarding Maritime Autonomous Surface Ships (MASS), the most advanced ICT field in the shipbuilding industry, and to suggest policy implications. In recent years, it has become important to reflect social issues of public interest in the policymaking process. For this reason, an increasing number of studies use media data and social media to identify public opinion. In this study, we collected 2,843 domestic media articles related to MASS from 2017 to 2022, when MASS was officially discussed at the International Maritime Organization, and analyzed them using text mining techniques. Through term frequency-inverse document frequency (TF-IDF) analysis, major keywords such as 'shipbuilding,' 'shipping,' 'US,' and 'HD Hyundai' were derived. For LDA topic modeling, we selected eight topics with the highest coherence score (-2.2) and analyzed the main news for each topic. According to the combined analysis of five years, the topics '1. Technology integration of the shipbuilding industry' and '3. Shipping industry in the post-COVID-19 era' received the most media attention, each accounting for 16%. Conversely, the topic '5. MASS pilotage areas' received the least media attention, accounting for 8 percent. Based on the results of the study, the implications for policy, society, and international security are as follows. First, from a policy perspective, the government should consider the current situation of each industry sector and introduce MASS in stages and carefully, as they will affect the shipbuilding, port, and shipping industries, and a radical introduction may cause various adverse effects. Second, from a social perspective, while the positive aspects of MASS are often reported, there are also negative issues such as cybersecurity issues and the loss of seafarer jobs, which require institutional development and strategic commercialization timing. Third, from a security perspective, MASS are expected to change the paradigm of future maritime warfare, and South Korea is promoting the construction of a maritime unmanned system-based power, but it emphasizes the need for a clear plan and military leadership to secure and develop the technology. This study has academic and policy implications by shedding light on the multidimensional political and social issues of MASS through news data analysis, and suggesting implications from national, regional, strategic, and security perspectives beyond legal and institutional discussions.

Optimal Route Generation of Ships using Navigation Chart Information (해도 정보를 이용한 선박의 최적 항로 생성)

  • Min-Kyu Kim;Jong-Hwa Kim;Hyun Yang
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2022.11a
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    • pp.369-370
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    • 2022
  • 최근 자율 운항 선박에 대한 관심이 높아지고 있다. 특히, MUNIN (Maritime Unmanned Navigation through Intelligence in Networks) 프로젝트를 계기로 자율 운항 선박에 대한 개발과 연구가 활발히 진행되고 있다. 또한 국제해사기구 IMO는 자율 운항 선박 시대에 대응하기 위해 자율 선박을 MASS (Maritime Autonomous Surface Ship)라 정의하고 선박 자율화 정도에 따라 4단계 등급을 제시하고 있다. 완전한 자율 운항 선박에 대한 요구조건을 만족하기 위해서는 항로 결정과 제어기술이 필수적이다. 본 연구에서는 여러 가지 기술 중 선박의 최적경로를 생성하는 기법을 다룬다. 기존에 최적항로를 생성하기 위한 방법으로는 A*, Dijkstra와 같은 알고리즘들이 주로 사용되었다. 그러나 이와 같은 알고리즘은 섬이나 육지에 대한 충돌 회피는 고려하고 있지만 수심 및 연안 선박에 대한 규정들은 고려하지 않고 있어 실제로 적용하기에는 한계점이 있다. 따라서 본 연구에서는 안전을 위해 선박의 선저 여유 수심과, 해도에 규정되어 있는 선박 운항에 대한 여러 규정들을 반영하여 최적 항로를 생성하고자 한다. 최적 항로를 생성하기 위한 알고리즘으로는 강화학습 기반의 Q-learning 알고리즘을 적용하였다.

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Development of Sailing Algorithm for Ship Group Navigation System (선박 그룹항해시스템의 항법 알고리즘 개발)

  • Wonjin, Choi;Seung-Hwan, Jun
    • Journal of Navigation and Port Research
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    • v.46 no.6
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    • pp.554-561
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    • 2022
  • Technology development related to maritime autonomous surface ships (MASS) is actively progressing around the world. However, since there are still many technically unresolved problems such as communication, cybersecurity, and emergency response capabilities, it is expected that it will take a lot of time for MASS to be commercialized. In this study, we proposed a ship group navigation system in which one leader ship and several follower ship are grouped into one group. In this system, when the leader ship begins to navigate, the follower ship autonomously follows the path of the leader ship. For path following, PD (proportional-derivative) control is applied. In addition, each ship navigates in a straight line shape while maintaining a safe distance to prevent collisions. Speed control was implemented to maintain a safe distance between ships. Simulations were performed to verify the ship group navigation system. The ship used in the simulation is the L-7 model of KVLCC2, which has related data disclosed. And the MMG (Maneuvering Modeling Group) standard method proposed by the Japan Society of Naval Architects and Ocean Engineering (JASNAOE) was used as a model of ship maneuvering motion. As a result of the simulation, the leader ship navigated along a predetermined route, and the follower ship navigated along the leader ship's path. During the simulation, it was found that the three ships maintained a straight line shape and a safe distance between them. The ship group navigation system is expected to be used as a navigation system to solve the problems of MASS.

Stability evaluation technology in real-time for autonomous ships (자율운항 선박용 실시간 복원성 평가 기술)

  • Donghan Woo;Nam-Kyun Im;Hum Choi;Jinsoo Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.261-262
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    • 2023
  • 자율운항선박의 도래와 예상 할 수 없는 선박의 구조 변화 및 적화 상태 변화로 인한 전복사고로부터 선박을 보호하기 위해서는 선박의 복원성 상태를 실시간으로 모니터링 것이 매우 중요합니다. 자율운항선박의 복원성 상태를 실시간으로 정밀 모니터링 시스템 개발은 운항자에게 사전에 위험을 경고하고 적화상태 보완 또는 평형수 상태 변형 등을 통하여 추가적은 복원성 확보를 위해서 필수적입니다. 본 연구는 실습선의 전자 경사계로 실시간 횡요 주기로 추정한 선박의 메타센터 높이(GM)의 정확도를 실험적으로 검증 하였습니다. 본 연구는 선박의 전자 경사계를 사용하여 선박의 복원성 안정성 상태를 실시간으로 평가하여 추정한 선박 GM의 정확도와 향후 연구에서 시스템 개선을 위한 요구 사항을 제시하였습니다.

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Research on the estimation of ship size information based on a ground-based radar using AI techniques (인공지능 기법을 이용한 육상 레이더 기반 선박 크기 정보 추정에 관한 연구)

  • JeongSu Lee;Jungwook Han;Kyurin Park;Hye-Jin Kim
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.76-76
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    • 2023
  • 최근 자율주행과 관련한 시장의 관심은 기존 자동차 자율주행에서 선박 자율운항으로 자연스럽게 이동하고 있다. 이에 인공지능 및 빅데이터 등과 같은 최근 기술을 선박 자율주행에 적용하는 자율운항선박(MASS: Maritime Autonomous Surface Ship) 개발이 활발히 진행되고 있으며, 레이더 및 카메라 등과 같은 센서 정보를 선박 자율운항에 적용하여 다양한 선박 운동 및 정보를 획득하는 연구 기술이 집중되고 있다. 이러한 경향에 따라 IMO(International Maritime Organization)과 같은 국제기구에서도 자율운항선박 표준화 본격 논의로 기술표준 선점 경쟁에 참여하고 있다. 이 중 연안 자율운항선박 개발은 IMO에서 주관하는 무인화 핵심기술로 여겨지고 있어, 기존 대양 항해 기술과 함께 연안 항해에 대한 기술 개발의 중요성이 높아지고 있다. 특히 항만 인근 해역에서는 다수의 선박이 입출항함으로 인해 해상에서의 안전과 물류의 효율화가 요구되기 때문에 고도화된 자율운항 기술개발이 필요하다. 하지만 자율운항선박에서의 상황인식 기술은 탑재된 센서의 제한된 시야각 및 기상조건에 따른 인식률이 떨어지는 문제가 생긴다. 이러한 기술적 한계를 극복하기 위해 육상에 설치된 레이더를 활용하여 선박을 탐지할 수 있는 기술이 필요하다. 본 연구에서는 고해상도 육상 레이더를 기반하여 얻어진 레이더 화면상의 물표 정보를 이용해 인공지능 기법에 활용하기 위한 라벨링 자동 생성 방법에 대해 소개한다. 얻어진 물표 정보에 인공지능 기법을 적용하여 선박 길이 정보를 추정하는 기술에 대해 소개한다.

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