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How to prevent maritime border collision for fisheries?-A design of Real-Time Automatic Identification System

机译:如何防止海上边境碰撞渔业? - 实时自动识别系统的设计

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Maritime Border Collision is one of the vital concerns in coastal states since the maritime boundaries of any two countries cannot be identified easily during fishing. Maritime domain awareness and the border line control are the essential requirement which happens via recognition, and observing of boats inside their country boundary. It is necessary to identify the maritime border and alert the fisherman during the fishing. In this paper, we propose an Automatic Identification System (AIS) which can protect fishermen by notifying the country's border. If they are nearing towards the International Maritime Border Line (IMBL), an alert will be sent to coast guards via VHF set. Using the inbuilt GPS, AIS can find the location and transmits to the embedded systems, which gathers the recent position by comparing autonomy and longitudinal values with the existing assessment. The proposed system is validated under a case study in the maritime border between India and Sri Lanka, which is identified as Gulf of Mannar. It has been revealed that fishermen can aware that they are about to near the nautical border by means of visual and audio alert. Then, protectors in the coast preserve support and afford supplementary assist to those fishermen. This system also provides collision avoidance by using AIS/ ultrasonic sensors. It has better performance than the relevant methods such as RF (Charan et al. 2016), ECDIS (Vanparia and Ghodasara, International Journal of Computer Applications & Information Technology, 1:58-64, 2014), Android (Kumar et al. 2016), GSM and GPS (Sivagnanam et al., International Journal of Innovative Research in Advanced Engineering (IJIRAE), 2:124-132, 2015).
机译:海滨碰撞是自从任何两国的海上边界在捕鱼期间无法识别以来,沿海国家的重要担忧之一。海上域名意识和边界线控制是通过识别和观察其国家边界内的船只发生的基本要求。有必要识别海上边境并在捕鱼期间提醒渔民。在本文中,我们提出了一种自动识别系统(AIS),可以通过通知该国的边界来保护渔民。如果他们接近国际海上边界线(IMBL),则会通过VHF集发送到海岸警卫队的警报。使用内置的GPS,AIS可以找到位置并传输到嵌入式系统,通过比较具有现有评估的自主权和纵向值来聚集最近的位置。在印度和斯里兰卡之间的海事边界的案例研究下,拟议的系统验证,该案例研究被确定为曼纳尔的海湾。据透露,渔民可以通过视觉和音频警报意识到它们即将附近航海边境。然后,海岸保护者保留支持并为这些渔民提供补充辅助。该系统还通过使用AIS /超声波传感器提供碰撞避免。它具有比RF(Charan等,2016),ECDIS(vanparia和Ghodasara,International Chicken Chinocts&Information Technology,1:58-64,2014),Android(Kumar等,2016年),GSM和GPS(Sivagnanam等,国际高级工程创新研究杂志(Ijirae),2:124-132,2015)。

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