论文

渔业船联网关键技术发展现状和趋势研究

  • 李国栋 ,
  • 陈军 ,
  • 汤涛林 ,
  • 谌志新 ,
  • 许明昌 ,
  • 吴陈波
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  • (中国水产科学研究院渔业机械仪器研究所,农业部渔业装备与工程技术重点实验室,上海 200092)
李国栋(1978—),男,副研究员,博士,研究方向:渔业信息化。E-mail:liguodong@fmiri.ac.cn

网络出版日期: 2018-10-16

基金资助

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)”

Key technologies of fishery internet of vessels :State-of-the-art and future trends

  • LI Guodong ,
  • CHEN Jun ,
  • TANG Taolin ,
  • CHEN Zhixin ,
  • XU Mingchang ,
  • WU Chenbo
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  • (Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences,
     Key Laboratory of Fishery Equipment and Engineering, Ministry of Agriculture, Shanghai 200092, China)

Online published: 2018-10-16

摘要

渔业船联网是物联网技术在海洋渔业中的具体应用,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、海洋卫星通信、近海宽带无线和基于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。

本文引用格式

李国栋 , 陈军 , 汤涛林 , 谌志新 , 许明昌 , 吴陈波 . 渔业船联网关键技术发展现状和趋势研究[J]. 渔业现代化, 2018 , 45(4) : 49 -58 . DOI: 10.3969/j.issn.1007-9580.2018.04.008

Abstract

 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.
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