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VESSEL TRAFFIC SERVICE EXPERT SYSTEM USING DEEP LEARNING ALGORITHM, AND CONTROL METHOD THEREOF

机译:基于深度学习算法的船舶交通服务专家系统及其控制方法

摘要

The present invention relates to a vessel traffic service expert system using a deep learning algorithm. The vessel traffic service expert system using a deep learning algorithm comprises: a vessel traffic service (VTS) center providing oversea communication information including vessel information on a vessel being sailing and harbor area information; an oversea communication information database unit storing the oversea communication information provided from the VTS center in real time; a vessel traffic service leaning unit receiving the oversea communication information in a set range from the oversea communication information and generating control standard information determining a state of vessel and a state of area using the deep learning algorithm; a vessel traffic service analyzing unit generating the oversea control information including the information on vessel and the information on area in real time by comparing and analyzing the oversea communication information and the control standard information stored in real time; and an vessel traffic service information displaying unit displaying the generated control standard information through an electronic navigation chart. The control standard information includes vessel state standard information and area state standard information.
机译:本发明涉及使用深度学习算法的船舶交通服务专家系统。使用深度学习算法的船舶交通服务专家系统包括:船舶交通服务(VTS)中心,该中心提供海外通信信息,包括正在航行的船舶上的船舶信息和港口区域信息;以及海外通信信息数据库单元实时存储从VTS中心提供的海外通信信息;船舶交通服务学习单元从所述海外通信信息中接收设定范围内的海外通信信息,并使用深度学习算法生成确定船舶状态和区域状态的控制标准信息;船舶交通服务分析单元通过实时比较和分析海外通信信息和控制标准信息,实时产生包括船舶信息和区域信息在内的海外控制信息;船只交通服务信息显示单元通过电子导航图显示所生成的控制标准信息。控制标准信息包括船舶状态标准信息和区域状态标准信息。

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