The invention discloses a ship abnormal behavior identification method and device, a terminal and a storage medium, and the method comprises the steps: sampling the navigation data of all ships in a set water area according to a set sampling period; according to a preset number set of a grid model in a set water area, all navigation data in the set are extracted, the grid model is trained, and a ship abnormal behavior recognition model in the set water area is obtained; and carrying out clustering analysis on the navigation data of all ships collected within a set time length, classifying the ship abnormal behavior identification models in a set water area to obtain a ship abnormal behavior classification identification model in the set water area, and carrying out classification identification on the ship abnormal behaviors in the set water area to obtain a classification identification result. According to the scheme, the AIS transceiving information is acquired in a fixed period, the historical ship position data is subjected to clustering analysis and modeling, and the ship violation behaviors are analyzed, so that the analysis of the ship violation behaviors is easily realized.
本发明公开了一种船舶异常行为的识别方法、装置、终端和存储介质,该方法包括:按设定采样周期,采样设定水域内所有船舶的航行数据;根据设定水域内预先设置的网格模型的编号集合,提取该集合内所有航行数据,对网格模型进行训练,得到设定水域内的船舶异常行为识别模型;对设定时长内采集到的所有船舶的航行数据进行聚类分析,对设定水域内的船舶异常行为识别模型进行分类,得到设定水域内的船舶异常行为分类识别模型,对设定水域内的船舶异常行为进行分类识别,得到分类识别结果。该方案,通过采用固定周期采集AIS收发信息,对历史船位数据进行聚类分析并建模,对船舶违规行为进行分析,从而较容易地实现对船舶违规行为的分析。
Ship abnormal behavior identification method and device, terminal and storage medium
一种船舶异常行为的识别方法、装置、终端和存储介质
2022-07-12
Patent
Electronic Resource
Chinese
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