A Concept Study on Design Alternatives for Minimizing Accident Consequences in Maritime Autonomous Surface Ships

Author:

Lee Gyeong Joong1,Lee Dongkon1,Choi Jin2ORCID,Kang Hee Jin3ORCID

Affiliation:

1. Advanced Ship Research Division, KRISO, Daejeon 34103, Republic of Korea

2. Korea Autonomous Surface Ship Project Office, Daejeon 34103, Republic of Korea

3. Alternative Fuels and Power System Research Center, KRISO, Daejeon 34103, Republic of Korea

Abstract

Autonomous ships, also known as maritime autonomous surface ships (MASS), are vessels that use artificial intelligence and robotics technologies to navigate independently. Due to their advanced technological capabilities, MASS is expected to play a significant role in the future of the shipping industry. The International Maritime Organization (IMO) is currently developing international standards for MASS classification, including accident avoidance technologies. However, the issue of how to mitigate the consequences of accidents involving autonomous ships has not been sufficiently addressed. Therefore, this study focuses on alternative design solutions and emergency response systems for MASS to properly control emergency situations and minimize the impact of accidents, such as flooding and fire on board. The goal is to efficiently address such accidents, especially in situations where the number of people on board is significantly reduced or the ship is being operated automatically or remotely, and to promptly detect and respond to such situations from a remote location. This paper investigates the possibility of modifying the design of the air conditioning system to delay flooding by considering a reduction in the number of crew members in order to prevent flooding. To prevent the spread of fire, the study examines early blockage measures for areas where air can enter. Flood and fire response systems were configured to be executed manually or automatically based on the results of presimulated scenarios defined in thousands of accident scenarios. Each accident propagation and response situation proposes an alternative using a coded shortcut key utilizing graphic symbols of international standard ISO 23120.

Funder

Ministry of Oceans and Fisheries of Korea

Publisher

MDPI AG

Subject

Ocean Engineering,Water Science and Technology,Civil and Structural Engineering

Reference18 articles.

1. IMO, MSC.1/Circ.1638 (2023, April 11). Outcome of the Regulatory Scoping Exercise for the Use of Maritime Autonomous Surface Ships (MASS). Available online: https://wwwcdn.imo.org/localresources/en/MediaCentre/PressBriefings/Documents/MSC.1-Circ.1638%20-%20Outcome%20Of%20The%20Regulatory%20Scoping%20ExerciseFor%20The%20Use%20Of%20Maritime%20Autonomous%20Surface%20Ships...%20(Secretariat).pdf.

2. Towards the assessment of potential impact of unmanned vessels on maritime transportation safety;Montewka;Reliab. Eng. Syst. Saf.,2017

3. Identifying factors affecting salvage rewards of crewless vessels—Lessons from a case study;Suri;WMU J. Marit. Aff.,2022

4. Hoem, Å.S. (2019, January 22–26). The present and future of risk assessment of MASS: A literature review. Proceedings of the 29th European Safety and Reliability Conference (ESREL), Hannover, Germany. Available online: https://www.researchgate.net/publication/338770018_The_present_and_future_of_risk_assessment_of_MASS_A_literature_review.

5. Taguchi, K. (2023, March 23). Analysis on Collision Accidents and Maritime Autonomous Surface Ships. Available online: https://commons.wmu.se/cgi/viewcontent.cgi?article=3145&context=all_dissertations.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3