渔业现代化

渔业现代化杂志

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基于渔业船联网的船载终端系统设计与实现

  1. (1中国水产科学研究院渔业机械仪器研究所，上海 200092；
    2青岛海洋科学与技术试点国家实验室，山东 青岛 266237)
  • 出版日期:2022-08-20 发布日期:2022-11-04
  • 通讯作者: 李国栋 (1978—) , 男, 研究员, 博士, 研究方向:渔业信息化与智能化。E-mail:liguodong@fmiri.ac.cn
  • 作者简介:张玉涛 (1989—) , 男, 助理研究员, 硕士, 研究方向: 智慧渔业技术与装备。E-mail:zhangyutao@fmiri.ac.cn
  • 基金资助:
    青岛海洋科学与技术试点国家实验室山东省专项经费（No. 2022QNLM010104-1）；国家自然科学基金项目（32073026）；三亚崖州湾科技城科研项目（SKJC-2020-01-013）；中国水产科学研究院中央级公益性科研院所基本科研业务费专项基金（2020TD83）

Design and Implementation of Shipborne Terminal System Based on Fishery Internet of Vessels

  1. (1 Fishery Machinery and Instrument Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200092, China;
    2 Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237 , Shandong, China)
  • Online:2022-08-20 Published:2022-11-04

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摘要： 渔业船联网是物联网技术在渔业领域的拓展应用，在渔业生产、安全管理以及海洋科学研究等方面具有重要作用。针对中国大部分渔船吨位小、智能化程度低、无法实现渔业船联网的问题，基于渔业船联网多样的应用场景和功能需求，设计并实现了基于渔业船联网的船载终端系统。采用双层嵌套主机设计，实现多种类型传感器的集中接入和处理；通过多传感器数据融合设计，实现数据的压缩和相关数据融合；通过自适应通信切换设计，实现不同海域数据实时传输方式的自动切换；采用基于.NET开发平台和Chromium内核框架进行系统软件功能设计，实现系统数据的集中处理和传输等功能；通过部署渔业船舶进行海上试验，完成系统的性能测试。结果显示：该系统可支持16路多源传感器的接入和数据处理，通过数据融合可实现78%的数据压缩率，通过4类通信方式可满足全海域的渔业船联网组网要求。研究表明，该系统功能完备，性能稳定可靠，可为中国渔船智能化改造和渔业船联网构建提供支撑。

关键词: 渔业船联网, 渔业大数据, 船载终端系统, 智能化渔船, 海洋渔业

Abstract: Fishery Internet of Vessels (FIoV) is the expanding application of Internet of Things technology in the fishery field. It plays an important role in fishery production, safety management, and marine scientific research. Aiming at the problem that most fishing vessels in China are small tonnage, low intelligent, and inability to realize Fishery Internet of Vessels, based on the diverse application scenarios and functional requirements of Fishery Internet of Vessels, a shipborne terminal system is designed and implemented based on the Fishery Internet of Vessels. The double-layer nested host design is adopted to realize the centralized access and processing of various types of sensors; the data compression and related data fusion are realized through the multi-sensor data fusion design; the automatic switching of real-time data transmission methods in different sea areas is realized through the adaptive communication switching design; based on the .NET development platform and Chromium kernel framework, the system software function is designed to realize the centralized processing and transmission of system data and other functions; the performance test of the system is completed by deploying fishing vessels for sea trials. The test results show that the system can support the access and data processing of 16 multi-source sensors, achieve a 78% data compression rate through data fusion, and meet the networking requirements of Fishery Internet of Vessels in the whole sea area through four types of communication modes. The system has complete functions, stable and reliable performance, and can provide support for the intelligent transformation of Chinese fishing vessels and the construction of Fishery Internet of Vessels.

Key words: Fishery Internet of Vessels, big data of fishery, shipborne system, intelligent fishing vessel, marine fishery