Ocean Engineering, Journal Year: 2024, Volume and Issue: 314, P. 119734 - 119734
Published: Nov. 12, 2024
Language: Английский
Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 11
Published: Nov. 12, 2024
To address human errors in collision avoidance tasks of remotely controlled ships, this study aims to develop a comprehensive framework for error analysis within the context autonomous ships. Firstly, Hierarchical Task Analysis method is utilized identify crew associated with traditional ship, and these are then dissected into different operational stages using Information Decision Action Crew cognitive model. Secondly, combination fault hypothesis expert opinions used potential that may occur during operations Thirdly, an integrated approach proposed build quantitative risk assessment model, which combines Failure Mode Effects Analysis, Evidential Reasoning, Belief rules-based Bayesian Network. Then, axiomatic verify robustness applicability Finally, based on results assessment, specific measures enhancing safety process The findings show uncoordinated interactions human-computer systems decision-making stage pivotal factor process. Therefore, future design efforts remote-control centre should prioritize improving clarity interaction interfaces.
Language: Английский
Citations
1
Ocean Engineering, Journal Year: 2024, Volume and Issue: 313, P. 119452 - 119452
Published: Oct. 22, 2024
Language: Английский
Citations
1
Journal of Marine Engineering & Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 11
Published: Dec. 2, 2024
The autonomous decision regarding anchoring speed is one of the key technologies in design and implementation an intelligent system. at which a vessel drops its anchor termed speed. In order to find suitable for anchoring, mathematical model linking chain tension established on basis ship kinetic energy model. After fully considering consumed during transition from touching seabed retrieval, strength requirements equipment, four different sizes real ships are selected calculate limit value when does not exceed brake force windlass holding power respectively. By comparing calculated with empirical value, reliability verified. Furthermore, limitations analyzed suggestions put forward. research results demonstrate that effectively predicts optimal speeds, bridging gap left by traditional experience-based methods. Moreover, only supports development systems but also allows customisation based specific characteristics types.
Language: Английский
Citations
1
Journal of Offshore Mechanics and Arctic Engineering, Journal Year: 2024, Volume and Issue: 147(3)
Published: Aug. 9, 2024
Abstract Maritime autonomous surface ships (MASSs) will reshape the fast-evolving ecosystem for their attractive socio-economic benefits and potential to improve safety. However, new systems technology need thorough verifications identify unintended components of risk. The interaction between MASS cyber-physical existing regulatory framework is currently unpredictable; artificial intelligence-powered intelligent situation awareness navigation algorithms must safely efficiently adhere regulations which are only designed human interpretation without MASSs consideration. This paper contributes algorithmic particularly COLREGs in real-world applications. It focuses on codifying into a machine-executable system applicable MASSs, then analyzing performance dynamic mixed interactions multiple vessels complex scenarios. Based fullest pairwise criteria, this considers decision-making (DM) complexity analysis multi-collision-conflict Complexity influential factors an interplay characteristics COLREGs, traffic scenarios, interactions, environment. Participant decision-makers forming decentralized uncertain DM process, casted multi-participant multi-conflict multicriteria problem. tackled through technique graph models conflict resolution, using risk fuzzy preferences over alternative collision-avoidance states. conducts comprehensive navigational complexity; we develop novel estimation scores, tools monitoring intervention, spatial geo-intelligent deployment operation planning. presented work validated database historical scenarios extracted from data sources.
Language: Английский
Citations
0
Ocean Engineering, Journal Year: 2024, Volume and Issue: 314, P. 119734 - 119734
Published: Nov. 12, 2024
Language: Английский
Citations
0