The invention relates to the technical field of fleet navigation state management, and discloses an intelligent combined fleet navigation state management method and system, and the method comprises the following steps: S101, collecting ship feature data and environment feature data of P ships in a pure electric unmanned fleet in the navigation process, and representing the data through a first feature sequence; s102, preprocessing the first feature sequence to obtain a second feature sequence; s103, constructing a fleet collaborative topological graph according to the second feature sequence, constructing a fleet energy consumption prediction model according to the fleet collaborative topological graph, and outputting the power consumption of P ships in the fleet in a second preset time period; and S104, optimizing the control parameter combination based on an improved genetic algorithm to obtain an optimal control parameter combination. According to the invention, through dynamic collaborative optimization, intelligent management of battery endurance and carbon emission, and deep fusion of formation optimization and energy-saving design, the navigation efficiency, green development capability and task execution effect of the unmanned fleet are comprehensively improved.
本发明涉及船队航行状态管理技术领域,公开了一种智能化组合船队航行状态管理方法及系统,包括以下步骤:S101,采集纯电无人船队中P艘船在航行过程中的船只特征数据和环境特征数据,并通过第一特征序列表示;S102,对第一特征序列进行预处理,得到第二特征序列;S103,根据第二特征序列构建船队协同拓扑图,并根据船队协同拓扑图构建船队能耗预测模型,输出船队中P艘船在第二预设时间段的耗电量;S104,基于改进的遗传算法对控制参数组合进行优化,得到最优控制参数组合。本发明通过动态协同优化、对电池续航和碳排放的智能管理,以及队形优化与节能设计的深度融合,全面提升了无人船队的航行效率、绿色发展能力和任务执行效果。
Intelligent combined fleet navigation state management method and system
一种智能化组合船队航行状态管理方法及系统
2025-03-21
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
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