本发明涉及船舶预警技术领域,具体涉及一种基于海上斑马线的AI预警方法及其终端,所述远程服务器通过历年渔船轨迹大数据分析,结合历史的船舶碰撞案例得到事故聚集区绘制海上斑马线地图,通过所述定位模块获取当前船舶实时的位置信息来计算当前船舶是否在斑马线覆盖区,对在覆盖区的船舶需要进行AI规则判别是否不穿救生衣邻水作业,是否驾驶舱无人值守,若识别到则通过所述警报模块报警,同时上报所述远程服务器及相关海事平台,针对多次告警未恢复的,进行人工二次核查,远程告警下发,所述本地终端进行告警互动确认,规范船舶作业,降低海上事故发生,从而解决了现有的预警终端预警性能较差的问题。

    The invention relates to the technical field of ship early warning, in particular to an AI early warning method based on seaborne zebra crossing and a terminal thereof.A remote server obtains an accident gathering area through fishing boat trajectory big data analysis over the years in combination with historical ship collision cases to draw a seaborne zebra crossing map; the real-time position information of the current ship is obtained through the positioning module to calculate whether the current ship is in a zebra crossing coverage area or not, whether the ship in the coverage area does not wear a life jacket to work adjacent to water or not and whether a cockpit is unattended or not needs to be judged according to an AI rule, and if yes, the alarm module gives an alarm. According to the technical scheme of the utility model, the alarm information is reported to the remote server and the related maritime affair platform at the same time, the alarm information which is not recovered for multiple times is subjected to manual secondary check and remote alarm issuing, and the local terminal carries out alarm interaction confirmation, ship operation standardization and marine accident reduction, so that the problem of poor early warning performance of the existing early warning terminal is solved.


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    Titel :

    一种基于海上斑马线的AI预警方法及其终端


    Erscheinungsdatum :

    2024-01-09


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Chinesisch


    Klassifikation :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G08B SIGNALLING OR CALLING SYSTEMS , Signalisier- oder Rufsysteme