交通信息与安全2023，Vol.41Issue(6)：1-11,11.DOI:10.3963/j.jssn.1674-4861.2023.06.001
智能船舶安全研究的热点问题分析与展望
An Analysis and Prospects of Hot Topics on Maritime Autonomous Surface Ship Safety Research
摘要
Abstract
In recent years,the maturation of technologies such as autonomous navigation,sensors,communication,and networking has spurred rapid advancements in Maritime Autonomous Surface Ship(MASS)research.In Sep-tember 2023,the 33rd European Safety and Reliability Conference was successfully held in Southampton,UK.The conference them centered on building a safe future in an interconnected world,with a particular emphasis on the safety of MASS.Based on a comprehensive analysis of 514 conference papers(including 19 papers related to intelli-gent ship safety topics),combined with the previous two conference proceedings and relevant research from the past decade both domestically and internationally,four hot topics in the field of MASS safety research are summarized:①Autonomy level and related regulations:As the autonomy of MASS increases,the current legal frameworks need updating to accommodate new technologies,with research focusing on defining the autonomy levels of MASS and exploring the corresponding legal and regulatory frameworks.②Human factors in remote operations:Remote oper-ation of MASS introduces new challenges related to human factors.Research is oriented towards designing remote operation systems to reduce the psychological burden on operators,enhance communication efficiency,and provide effective decision support to ensure safety.③Risk assessment of MASS:This field aims to use advanced technolo-gies for more accurate safety and risk evaluations,incorporating the use of multi-dimensional sensor data,real-time monitoring,and diversified data analysis models.④Applications of artificial intelligence and machine learning in MASS:Both technologies are regarded as innovative directions in the field of MASS safety,with research primarily focusing on their application in fault prediction,route optimization,and automated safety monitoring.Through a sur-vey of existing literature,future research directions for MASS safety are prospectively discussed from four critical perspectives.①By adopting Model-based Systems Engineering approach for ship safety analysis,potential safety threats can be identified and eliminated from the design phase,promoting interdisciplinary collaboration,and en-hancing the accuracy of safety and reliability analysis.②In terms of human factor risk analysis,the Functional Res-onance Analysis Method is considered more suitable for complex systems like MASS.By evaluating the interac-tions between system functions,failures can be identified,and preventive measures can be formulated.③ To im-prove efficiency in emergency situations,research needs to develop support systems that assist operators in making rapid and accurate decisions,considering the psychological and physiological states of operators.④The application of artificial intelligence and machine learning to deepen theoretical research involves developing autonomous deci-sion-making models capable of making accurate decisions in complex maritime environments and advanced algo-rithms that integrate multiple data sources for accurate weather forecasting and route optimization.关键词
航行安全/智能船舶/风险和安全/热点分析Key words
navigation safety/Maritime Autonomous Surface Ship(MASS)/risk and safety/hotspot analysis分类
交通工程引用本文复制引用
张笛,李治宏,万程鹏..智能船舶安全研究的热点问题分析与展望[J].交通信息与安全,2023,41(6):1-11,11.基金项目
国家自然科学基金项目(51920105014、52372342)资助 （51920105014、52372342）
