Implementation of an efficient and intelligent Indian maritime borderline alert system using IoT

M. Jerlin, Anindya Das, Joshua Agbonjaru
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引用次数: 0

Abstract

The sea border issues are crucial to nations where it is hard to have a track of boarder for fishermen. About 180,000 fishing vessels of assorted forms are involved in fishing along the Indian-Sri Lankan maritime border. But fishing activities in that region has always been an agitating factor, ever since violence broke out in Sri Lanka about three decades ago. This problem however this can be solved only by an efficient and intelligent boundary alert system using IoT. Internet of things has the technology to make it possible for monitoring the sea border levels to know the border location. The Intelligent Maritime Borderline Alter System or IMBAS incorporates the new methodology of IoT for saving the fishermen's life as well as their sole assets in which their mode of income depends. The methodology includes tracking the position of the boat in real time using a differential GPS system and keeping the boat in safe waters, well inside the Indian Territory. The system will also notify the ground control as and when the boat approaches the maritime borderline.
利用物联网实施高效智能的印度海上边界警报系统
海上边界问题对那些难以追踪渔民边界的国家至关重要。大约有18万艘各种形式的渔船在印度-斯里兰卡海上边界捕鱼。但自从大约30年前斯里兰卡爆发暴力冲突以来,该地区的捕鱼活动一直是一个令人不安的因素。然而,这个问题只能通过使用物联网的高效智能边界警报系统来解决。物联网的技术使监测海洋边界高度了解边界位置成为可能。智能海上边界改变系统(IMBAS)结合了物联网的新方法,以拯救渔民的生命以及他们收入模式所依赖的唯一资产。该方法包括使用差分GPS系统实时跟踪船的位置,并将船保持在印度领土内的安全水域。该系统还将在船只接近海上分界线时通知地面控制中心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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