The invention discloses an alarm method for studying and judging ultrahigh ship navigation in a bridge area. The alarm method comprises the following steps: S01, acquiring the passing height of the bridge area and AIS data of a ship; s02, acquiring a plurality of first data in a scattered point distribution mode in the video image; s03, performing data cleaning on the acquired first data, namely performing function fitting on the acquired scatter-distributed first data to form first fitting tracks, and endowing each first fitting track with a first ID (Identity); and S04, performing fitting correction analysis on the AIS data based on a correction algorithm to obtain a ship AIS analysis track. According to the alarm method for studying and judging the navigation of the ultrahigh ship in the bridge area, the ship is identified through a YOLO target detection algorithm of image deep learning, the ship information is obtained through AIS matching, static targets and non-navigation ship targets are filtered through OpenCV background modeling, and accurate positioning and remote intervention of the ultrahigh common ship are achieved.
本发明公开了一种桥区研判超高船舶通航的报警方法,包括以下步骤:S01、获取桥区通行高度以及船舶的AIS数据;S02、获取视频图像中散点分布式的多个第一数据;S03、对获取的所述第一数据进行数据清洗,所述数据清洗是指将获取的散点分布式的所述第一数据进行函数拟合并形成第一拟合航迹,赋予每个所述第一拟合航迹一个第一ID;S04、基于修正算法对所述AIS数据进行拟合修正分析,获取船舶AIS分析航迹。该发明提供的桥区研判超高船舶通航的报警方法,通过图像深度学习的YOLO目标检测算法识别船舶,匹配AIS获取船舶信息,再通过OpenCV背景建模以过滤静态目标和非通航船舶目标,实现对超高通常船舶的精准定位和远程干预。
Alarm method for studying and judging ultrahigh ship navigation in bridge area
一种桥区研判超高船舶通航的报警方法
2024-03-29
Patent
Elektronische Ressource
Chinesisch
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