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A Systematic Literature Review of Vessel Anomaly Behavior Detection Methods Based on Automatic Identification System (AIS) and another Sensor Fusion

机译:基于自动识别系统(AIS)和另一传感器融合的血管异常行为检测方法的系统文献综述

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The high flow of vessel traffic affects the difficulty of monitoring vessel in the middle of the sea because of limited human visibility, occurrence of vessel accidents at the sea and other illegal activities that illustrate abnormal vessel behavior such as oil bunkering, piracy, illegal fishing and other crimes that will continue and will certainly have an impact on losses in several aspects. the author collects studies using Automatic Identification System (AIS) data as a basis for analysis to see the behavior of vessels at the sea, in addition to that AIS data can also be combined with other sensor data to strengthen monitoring of vessel movements at the sea, this is very supportive in detecting the anomalous behavior of vessel that often occur outside the reach of human vision or the sea patrol on duty. This paper uses the Systematic Literature Review (SLR) method in identifying, evaluating, and interpreting various methods of studies related to vessel anomalous behavior at the sea the author highlights several methods that are always applied to studies that already exist in detecting vessels anomalous behavior, the study detected the movement of vessel with AIS data from the history of vessel locations and fusion with another sensor in seeing movements of abnormal vessel behavior through patterns that were formed. This paper refers to various studies and reviews some of them about the use of AIS track data history in vessel including combining with other data to detect anomalous behavior of vessel, the results of the analysis are used to find out activities that have the potential for illegal activities or other crimes that can be detrimental and can be used as decision making, the authors hope the results of this paper can be an option to be applied to the surveillance system of vessel around the territorial waters in order to guard against crime and other illegal behavior.
机译:由于人类知名度有限,海洋中的船舶事故发生以及其他非法活动的船舶事故发生,船舶交通的高流量影响了监测船的难度影响,以及其他船只行为,如石油,盗版,非法捕捞等异常船舶行为将继续持续的其他罪行,肯定会对若干方面产生损失。作者使用自动识别系统(AIS)数据收集研究作为分析海上船舶行为的基础,除了AIS数据还可以与其他传感器数据相结合,以加强海上血管运动的监测,这非常支持检测船只的异常行为,这些行为经常出现在人类视力范围之外的船只或海上巡逻队值班。本文采用系统文献综述(SLR)方法在识别,评估和解释与海洋中的血管异常行为有关的各种研究方法,作者突出了几种方法,这些方法总是应用于检测血管异常行为的研究,该研究检测到容器与AIS数据的运动,从容器位置的历史和与另一传感器的融合融合,看看通过形成的图案的异常血管行为的运动。本文是指各种研究和评论其中一些关于使用AIS跟踪数据历史的船只,包括与其他数据的组合以检测血管的异常行为,分析结果用于找出具有非法潜力的活动作者希望该文件的活动或其他可能被用作决策的罪行,希望本文的结果可以是应用于领海周围的船舶监测系统的选择,以防范犯罪等违法行为行为。

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