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渔业船联网关键技术发展现状和趋势研究 被引量:12

Key technologies of fishery internet of vessels( FIoV):state-of-the-art and future trends
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摘要 渔业船联网是物联网技术在海洋渔业中的拓展应用,建设过程是一个庞大的系统性工程。本文系统地对渔业船联网涉及到的信息采集、传输、存储、处理及安全等关键技术发展现状和趋势进行了分析,明确了多源异构渔业信息采集及智能化渔船构建技术方案,分析了海上无线通信、卫星通信、近海宽带无线和基于无线网络(MESH)的宽带自组网等海上通信技术的现状和发展趋势;结合渔业船联网的需求,阐述了各种通信方式在船联网上使用的优缺点;提出基于大数据的海洋渔业数据处理方法;梳理了船联网系统面临的信息安全风险。通过上述分析,为后续渔业船联网系统设计和具体实施奠定基础。 Fishery internet of vessels(FIoV)is the specific application of internet of things(IoT)technology in marine fisheries,and its construction is a huge systematic project.In this paper,the state-of-the-art and future trends of key technologies such as information acquisition,transmission,storage,processing and security involved in fishery internet of vessels is analyzed systematically,the technical scheme of multi-source heterogeneous fishery information acquisition and intelligent fishery vessel construction is designed,and the state-of-the-art and future trends of maritime wireless communications,ocean satellite communications,offshore broadband wireless and ad hoc networks based on MESH are analyzed;in combination with the requirements of fishery internet of vessels,the advantages and disadvantages of different communication methods in fishery internet of vessels are described,a fishery information processing method based on big data is proposed,and the information security risk for fishery internet of vessels system is analyzed.The above-mentioned analysis will lay a foundation for the design and implementation of fishery internet of vessels system.
作者 李国栋 陈军 汤涛林 谌志新 许明昌 吴陈波 LI Guodong;CHEN Jun;TANG Taolin;CHEN Zhixin;XU Mingchang;WU Chenbo(Fishery Machinery and Instrument Research Institute,Chinese Academy of Fishery Sciences, Key Laboratory of Fishery Equipment and Engineering,Ministry of Agriculture,Shanghai 200092,China)
出处 《渔业现代化》 2018年第4期49-58,共10页 Fishery Modernization
基金 中国水产科学研究院基本科研业务费专项“渔船船联网结构研究与验证(2017HY-ZD0801)”
关键词 渔业船联网 渔业信息化 海洋渔业 渔业大数据 fishery internet of vessels fisheries information marine fisheries fishery big data
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