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MARINE TRAFFIC CONTROL SPECIALIST SYSTEM USING DEEP LEARNING ALGORITHM AND CONTROL METHOD FOR THE SAME

机译:深度学习算法的海洋交通控制专家系统及其控制方法

摘要

PROBLEM TO BE SOLVED: To provide a marine traffic control specialist system using a deep learning algorithm.SOLUTION: A marine traffic control specialist system 100 includes: a VTS center 110 which provides marine traffic information including ship information of sailing ships and harbor area information in real time; a marine traffic information database part 120 which stores marine traffic information to be provided in the VTS center real time; a marine traffic control learning part 130 which receives provision of the marine traffic information within a prescribed range from the marine traffic information database part and generates control reference information determining a ship condition and an area state by using a deep learning algorithm; a marine traffic control analysis part 140 which compares and analyzes the marine traffic information and the control reference information to be stored in real time, and generates marine control information including ship condition information and area state information in real time; and a marine traffic control information display unit 150 displaying the generated marine control information via an electric chart.SELECTED DRAWING: Figure 1
机译:解决的问题:提供一种使用深度学习算法的海上交通管制专家系统。解决方案:海上交通管制专家系统100包括:VTS中心110,该中心提供海上交通信息,包括帆船的船舶信息和港口区域信息。即时的;海上交通信息数据库部分120,其实时存储要在VTS中心中提供的海上交通信息;海洋交通控制学习部分130,从海洋交通信息数据库部分接收规定范围内的海洋交通信息的提供,并通过使用深度学习算法来生成确定船况和区域状态的控制参考信息;海洋交通控制分析部140,对海洋信息和控制基准信息进行实时比较并进行分析,并实时生成包含船况信息和区域状态信息的海洋控制信息。海上交通控制信息显示单元150通过电子海图显示所产生的海上控制信息。

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