李国帅, 张显库, 张安超. 智能船舶靠泊技术研究热点与趋势[J]. 中国舰船研究, 2024, 19(1): 3–14. doi: 10.19693/j.issn.1673-3185.03199
引用本文: 李国帅, 张显库, 张安超. 智能船舶靠泊技术研究热点与趋势[J]. 中国舰船研究, 2024, 19(1): 3–14. doi: 10.19693/j.issn.1673-3185.03199
LI G S, ZHANG X K, ZHANG A C. Research hotspots and tendency of intelligent ship berthing technology[J]. Chinese Journal of Ship Research, 2024, 19(1): 3–14 (in Chinese. doi: 10.19693/j.issn.1673-3185.03199
Citation: LI G S, ZHANG X K, ZHANG A C. Research hotspots and tendency of intelligent ship berthing technology[J]. Chinese Journal of Ship Research, 2024, 19(1): 3–14 (in Chinese. doi: 10.19693/j.issn.1673-3185.03199

智能船舶靠泊技术研究热点与趋势

Research hotspots and tendency of intelligent ship berthing technology

  • 摘要: 在梳理近年来国内外智能船舶靠泊技术研究现状的基础上,首先从靠泊方式、数学模型和控制算法3个方面分别归纳靠泊技术的研究热点与应用情况,分析智能船舶靠泊技术在自主性、建模精度、路径规划、控制算法、节能效果和系统测试等方面尚待解决的问题。然后,从航海实际需求出发,提出下一步需要突破的有关信息融合、在线建模、智能决策、算法优化、绿色节能和测试技术等方面的核心理论和关键技术问题,努力提升靠泊技术的自主性、鲁棒性、快速性和“韧性”,助力实现安全、绿色、高效的智能航运目标。

     

    Abstract: This paper reviews the research status of intelligent ship berthing technology at home and abroad in recent years. The hotspots and applications of berthing technology are summarized in the three aspects of berthing mode, mathematical model and control algorithm. The remaining problems in this field are analyzed in terms of autonomy, modeling accuracy, path planning, control algorithm, energy-saving effect and system test. Based on actual navigation needs, it is proposed that the next step is to make breakthroughs in core theories and key technical problems such as information fusion, online modeling, intelligent decision-making, optimization algorithms, green energy conservation and testing technology. The autonomy, robustness, rapidity and "toughness" of berthing technology should be improved so as to realize safe, green and efficient intelligent shipping.

     

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