The invention discloses an inland ship navigation abnormal behavior detection method and system and a storage medium, which are applied to the technical field of maritime affair intelligent supervision and can realize real-time detection of microscale ship navigation abnormal behaviors, reduce ship navigation accidents and improve ship abnormal behavior detection accuracy. The method comprises the steps of extracting ship trajectory motion behavior features and preset interaction features according to ship navigation trajectory data, performing fusion through an attention mechanism self-encoding model to obtain intermediate layer information, and inputting a clustering analysis algorithm to perform clustering analysis on ship trajectories to obtain trajectory clusters; counting motion state probability density distribution data of each ship motion mode through a grid division method according to the trajectory clusters; constructing a corresponding local self-encoding model according to the track cluster; performing motion mode recognition through a local self-encoding model to obtain a current ship motion mode; and performing analysis according to the current trajectory data and the motion state probability density distribution data of the ship to obtain an anomaly detection result.
本发明公开一种内河船舶航行异常行为检测方法、系统及存储介质,应用于海事智能监管技术领域,能够实现微观尺度船舶航行异常行为实时检测,减少船舶航行事故发生,提高船舶异常行为检测准确性。该方法包括:根据船舶航行轨迹数据提取船舶轨迹运动行为特征以及预设交互特征,并通过注意力机制自编码模型进行融合得到中间层信息,输入聚类分析算法对船舶轨迹进行聚类分析得到轨迹聚类簇;根据轨迹聚类簇通过栅格划分法统计各船舶运动模式的运动状态概率密度分布数据;根据轨迹聚类簇构建相应的本地自编码模型;通过本地自编码模型进行运动模式识别得到当前船舶运动模式;根据船舶当前轨迹数据和运动状态概率密度分布数据分析得到异常检测结果。
Method and system for detecting abnormal navigation behavior of inland ship and storage medium
内河船舶航行异常行为检测方法、系统及存储介质
2023-04-25
Patent
Elektronische Ressource
Chinesisch
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