无线通信技术," /> 无线通信技术,"/> 海洋精细化漂流浮标观测网络实验

山东科学

• 海洋科技与装备 •    

海洋精细化漂流浮标观测网络实验

李宾1,张文1*,厉运周2,赵强2,徐登科1



收稿日期:2025-05-09

基金项目:山东省重点研发项目(2023ZLYS01)

作者简介:李宾(2004—),男,本科生。E-mail:18873192712@163.com

*通信作者,张文,女,副教授,主要从事海洋信息处理。E-mail:zhangwen06@nudt.edu.cn 电话:18684810732

  

  1. 1国防科技大学 气象海洋学院,湖南 长沙 410073 2齐鲁工业大学(山东省科学院) 海洋仪器仪表研究所,山东 青岛266061
  • 收稿日期:2025-05-09 接受日期:2025-05-26 上线日期:2025-10-14
  • 通信作者: 张文 E-mail:zhangwen06@nudt.edu.cn
  • 作者简介:李宾(2004—),男,本科生。E-mail:18873192712@163.com
  • 基金资助:
    山东省重点研发项目(2023ZLYS01)

Experiment on a fine-scale marine drifting buoy observation network

LI Bin1,ZHANG Wen1*,LI Yunzhou2,ZHAO Qiang2,XU Dengke1   

  1. 1. College of Meteorology and Oceanography,National University of Defense Technology,Changsha410073, China;2. Institute of Oceanographic Instrumentation,Qilu University of Technology (Shandong Academy of Sciences),Qingdao266061, China
  • Received:2025-05-09 Accepted:2025-05-26 Published:2025-10-14
  • Contact: ZHANG Wen E-mail:zhangwen06@nudt.edu.cn

摘要: 设计了一种创新型海洋精细化漂流浮标及其组网观测系统。浮标硬件采用自研分离式抗风浪结构与低功耗核心组件集成技术,结合双天线通信架构通过实验室测试和野外湖试,量化评估浮标的测量精度、环境适应性和数据稳定性。基于LoRa的分布式物联网通信技术,创新地采用拓扑组网架构,构建4节点10 km级立体观测网络,丢包率<0.1%,利用FFT频谱分析数据特征并提出降噪方法。实验表明,该网络可同步捕获准稳态海洋环境数据,为高密度、立体化、精细化海洋监测提供可扩展解决方案。研究成果已应用于教学实践,并计划扩展至10节点网络,推动海洋精细化观测技术的工程化应用。

关键词: 海洋漂流浮标, 浮标观测网络, 物联网通信技术, 无线通信技术')">LoRa无线通信技术

Abstract: An innovative marine fine-scale drifting buoy and its networked observation system were designed. The buoy hardware featured a self-developed detachable wave-resistant structureand low-power core component integration technology. With the help of its dual-antenna communication architecture, the buoy was subjected to laboratory and field lake tests to quantitatively evaluate its measurement accuracy, environmental adaptability, and data stability. Based on LoRa-enabled distributed IoT communication technology, an innovative topological networking architecture was used to construct a four-node, 10 km-scale 3D observation network with a packet loss rate of less than 0.1%. FFT spectral analysis was conducted to analyze data features, and a noise reduction method was proposed. Test results showedthat the network couldsynchronously capture quasi-steady-state ocean environmental data, providing a scalable solution for high-density, multi-dimensional, fine-scale ocean monitoring. The research results were applied in teaching practice. In addition, expansion to a 10-node network has been planned to advance the engineering application of fine-scale ocean observation technology.

Key words: Marine drifting buoy, Buoy observation network, IoT communication technology, LoRa

中图分类号: 

  • P715.2

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