基于多物理场的新型海洋无人装备探测研究现状

王宇扬; 计方; 鹿绍庆; 李国楠

doi:10.11993/j.issn.2096-3920.2024-0048

基于多物理场的新型海洋无人装备探测研究现状

doi: 10.11993/j.issn.2096-3920.2024-0048

王宇扬¹,
计方^{1, 2, ,},
鹿绍庆²,
李国楠²

1.
哈尔滨工程大学船舶工程学院, 黑龙江哈尔滨, 150001
2.
中国舰船研究院, 北京, 100192

基金项目: 国家自然科学基金面上项目资助(52371356).

详细信息

通讯作者:
计方(19-), 男, 博士, 研究员, 主要研究方向为舰船减振降噪.

计量
- 文章访问数: 15
- HTML全文浏览量: 4
- PDF下载量: 3
- 被引次数: 0
出版历程
- 收稿日期: 2024-03-09
- 修回日期: 2024-04-22
- 录用日期: 2024-05-14
- 网络出版日期: 2024-11-14

Current Status of Research on new Marine Unmanned Equipment Detection based on Multi-physics Fields

WANG Yuyang¹,
JI Fang^{1, 2
, ,},
LU Shaoqing²,
LI Guonan²

1.
China Ship Research And Development Academy, Beijing 100192, China
2.
College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China

摘要

摘要: 以无人水下航行器、无人水面艇为代表的新兴水下水面装备具有数量多、体积小、智能化程度高且工作内容广等特点。未来海战任务将大量使用无人装备, 因此海洋无人智能装备探测技术的发展已经成为各国军备和科研内容的关键技术之一。文中在对不同海洋航行器分类的基础上, 对近年来各国海洋智能无人装备探测方法进行综述, 涵盖了光、电、磁等新型物理场信息源。将多系统协同探测和多信息全方位感知技术的可行性进行分析, 同时阐述了深度智能线谱检测的研究现状。未来, 海洋无人智能装备探测将向着智能化、集群化、高精度、鲁棒性以及实时性等方向发展。进一步提高水下目标识别水平将是未来重要的研究方向。
- 海洋智能无人装备 /
- 目标探测与感知 /
- 水声信号处理 /
- 多物理场信息
Abstract: In recent years, the number of marine unmanned systems has increased dramatically. The equipments represented by Unmanned Underwater Vehicle (UUV) and Unmanned Surface Vessel (USV) have the characteristics of large number, small size, high degree of intelligence, and wide range of tasks, and so on. Future naval warfare missions will use lots of unmanned equipments, so the detection of marine unmanned intelligent equipment technology has become one of the key technologies in the armament and scientific research of all countries. Based on the categorization of different marine vehicles, this paper provides an overview of the detection methods of marine intelligent unmanned equipment in recent years in various countries, which also covers the information sources of new types of physical fields, such as light and electromagnetism. The feasibility of multi-system collaborative detection and multi-information omni-directional sensing techniques is analyzed, while the current research status of deep intelligent line spectrum detection is described. In the future, the detection of marine unmanned intelligent equipment will develop in intelligence, clustering, high precision, robustness and real-time. Further improving the level of underwater target recognition will be an important research direction.
- marine intelligent unmanned equipment /
- target detection and perception /
- hydroacoustic signal processing /
- multi-physics field information

HTML全文

图 1 无人艇自主搜潜流程图

Figure 1. Flowchart of autonomous search and dive for USV

下载: 全尺寸图片幻灯片

图 2 USV声呐浮标与吊放声呐水下工作状态

Figure 2. USV sonar buoys and suspended sonar underwater operating condition

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图 3 搭载水听器的 Slocum

Figure 3. Slocum with hydrophone

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图 4 “海豚号”水下声学滑翔机

Figure 4. Underwater acoustic glider Dolphin

下载: 全尺寸图片幻灯片

图 5 新型海洋信息网络架构

Figure 5. New marine information network architecture

下载: 全尺寸图片幻灯片

图 6 水声目标辐射噪声信号线谱特征增强系统框架

Figure 6. Framework of the line spectral feature enhancement system for radiating noise signals from hydroacoustic targets

下载: 全尺寸图片幻灯片

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