水下羽流追踪方法研究进展

徐雪寒; 孟庆浩; 刘科显; 井 涛

doi:10.11993/j.issn.2096-3920.2022.01.001

水下羽流追踪方法研究进展

doi: 10.11993/j.issn.2096-3920.2022.01.001

天津大学电气自动化与信息工程学院机器人与自主系统研究所, 天津, 300072

基金项目: 国家重点研发计划项目资助(2017YFC0306200).

详细信息

作者简介:
徐雪寒(1993-), 女, 在读博士, 主要研究方向为水下羽流追踪.

中图分类号: TP29 TP242.6
计量
- 文章访问数: 166
- HTML全文浏览量: 16
- PDF下载量: 52
- 被引次数: 0
出版历程
- 收稿日期: 2021-07-07
- 修回日期: 2021-08-26
- 刊出日期: 2022-02-28

Progress of Underwater Plume Tracking Methods

Institute of Robotics and Autonomous Systems, School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China

摘要

摘要: 水下羽流相关研究在海洋资源开采及环境保护等方面有着重要意义。文中围绕水下羽流扩散建模与追踪方法研究, 对现有相关研究成果进行归纳, 从基础、方法以及应用等角度, 总结了水下羽流追踪的研究进展和发展趋势。全文包括4部分: 1) 介绍水下羽流分类和羽流追踪的应用背景; 2) 从扩散模型和仿真平台2个方面梳理羽流扩散建模的研究现状; 3) 将现有水下羽流追踪方法分为反应类方法、概率估计类方法和强化学习类方法3类, 对各类方法的研究进展进行归纳; 4) 讨论了水下羽流追踪研究未来的发展趋势。通过对已有研究成果进行总结, 为水下羽流追踪的进一步研究提供参考。
- 水下羽流 /
- 扩散建模 /
- 羽流追踪
Abstract: There has been significant research on underwater plume for marine resource exploitation and environmental protection. Based on underwater plume dispersion modeling and tracking methods, the existing relevant research results, research progress, and development trend of underwater plume tracking were summarized. Firstly, the classification of underwater plumes and application background of plume tracking were presented. Subsequently, the research status of underwater plume dispersion modeling was reviewed from two aspects: The dispersion model and simulation platform. Thirdly, the current underwater plume tracking methods were divided into three categories, namely the reactive, probability estimation, and reinforcement learning methods, and the representative research were reviewed. Finally, the development trend of underwater plume tracking research was discussed. This review could provide a reference for further research on underwater plume tracking.
- underwater plume /
- dispersion modeling /
- plume tracking

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