The invention provides a navigation mark collision early warning method based on an artificial intelligence time sequence prediction algorithm, and the method comprises the steps: determining a navigation mark convolution region according to navigation mark historical data, which comprises navigation mark accident historical data and navigation mark historical latitude and longitude information; acquiring navigation trajectory data of a to-be-measured ship; inputting the navigation trajectory data of the to-be-measured ship into the constructed trajectory prediction model to obtain trajectory prediction data; and based on the navigation mark convolution area, according to the trajectory prediction data, judging whether the to-be-detected ship collides with the target navigation mark, if so, sending a navigation mark collision alarm signal to the to-be-detected ship through the AIS base station, and driving away from the navigation mark convolution area. The problem that in the prior art, the prediction precision of ships and navigation marks in a target sea area is low, and potential safety hazards are large is solved.
本发明提供了一种基于人工智能时间序列预测算法的航标碰撞预警方法,包括:根据航标历史数据,确定航标回旋区域,所述航标历史数据:航标事故历史数据和航标历史经纬度信息;获取待测船舶航行轨迹数据;将所待测船舶航行轨迹数据输入至构建好的轨迹预测模型中,得到轨迹预测数据;基于航标回旋区域,根据所述轨迹预测数据,判断待测船舶是否与目标航标发生碰撞,若是,则通过AIS基站向待测船舶发送航标碰撞告警信号,驶离航标回旋区域。本发明解决了现有技术中对于目标海域内船舶和航标的预测精度较为低下,造成的安全隐患较大的问题。
Navigation mark collision early warning method based on artificial intelligence time sequence prediction algorithm
一种基于人工智能时间序列预测算法的航标碰撞预警方法
28.05.2024
Patent
Elektronische Ressource
Chinesisch
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