基于多物理场的海洋智能无人装备探测研究现状
Current Status of Research on Marine Intelligent Unmanned Equipment Detection Based on Multi-Physics Fields
王宇扬 1计方 2鹿绍庆 3李国楠3
作者信息
- 1. 哈尔滨工程大学船舶工程学院,黑龙江 哈尔滨,150001
- 2. 哈尔滨工程大学船舶工程学院,黑龙江 哈尔滨,150001;中国舰船研究院,北京,100192
- 3. 中国舰船研究院,北京,100192
- 折叠
摘要
以无人水下航行器、无人水面艇为代表的海洋智能无人装备具有数量多、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海洋智能无人装备,因此海洋智能无人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.对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算法线谱特征探测的研究现状.在未来,海洋智能无人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.
Abstract
The marine intelligent unmanned equipment represented by unmanned undersea vehicles and unmanned surface vessels have the characteristics of large number,small size,high degree of intelligence,and wide range of tasks.Future naval warfare missions will use lots of marine intelligent unmanned equipment,so the detection technology of marine unmanned intelligent equipment has become one of the key technologies in the armament and scientific research of all countries.This paper provided an overview of the detection methods of marine intelligent unmanned equipment in recent years in various countries,covering the optical,electric,magnetic,and other information sources of new types of physical fields.The feasibility of multi-system collaborative detection and multi-information omnidirectional sensing techniques was analyzed,while the current research status of deep intelligent algorithm-based line-spectrum feature detection was described.In the future,the detection of marine intelligent unmanned equipment will develop towards intelligence,clustering,high precision,robustness,and timeliness,and further improving the level of underwater target recognition will be an important research direction.
关键词
海洋智能无人装备/目标识别/线谱特征/多物理场信息Key words
marine intelligent unmanned equipment/target recognition/line-spectrum feature/multi-physics field information引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据