农业机械学报2026，Vol.57Issue(19)：32-43,158,13.DOI:10.6041/j.issn.1000-1298.2026.19.003
水下机器人羽流追踪技术监测水环境应用综述
Review of Underwater Robot Plume Tracking Technology in Water Environment Monitoring
摘要
Abstract
Underwater robot plume tracking technology,by dynamically perceiving the path of pollution diffusion,provides crucial support for deep-sea resource exploration,ecological protection,and emergency response,and has gradually become an important means in the field of water environment monitoring.The development trajectory and technical system of this technology were systematically reviewed:at the plume modeling level,it compared and analyzed the applicability and limitations of physical models,data-driven models,and hybrid models;in the tracking algorithm domain,it focused on dissecting the optimization mechanisms of single-machine strategies and multi-machine collaboration,and pointed out that the integration of reinforcement learning and physical models significantly enhanced robustness in dynamic environments;in terms of system application,it quantitatively assessed indicators such as tracking efficiency,accuracy,and energy consumption by combining cases like deep-sea hydrothermal vent detection and river estuary pollution location.The research further revealed the current bottlenecks of underwater robot plume tracking technology,including weak adaptability to plume mutations,difficulty in separating strong noise signals,and the contradiction between load and endurance of small platforms.It looked forward to the future development trends of underwater robot plume tracking technology,focusing on the development of global water environment safety governance technologies.关键词
水下机器人/羽流追踪/水环境监测/强化学习/多机器人协同/污染源定位Key words
underwater robot/plume tracking/water environment monitoring/reinforcement learning/multi-robot collaboration/location of pollution sources分类
资源环境引用本文复制引用
周焕银,吴紫藤,刘金生,伍琦..水下机器人羽流追踪技术监测水环境应用综述[J].农业机械学报,2026,57(19):32-43,158,13.基金项目
江西省科技厅重点基金项目(20224ACB204022)和国家自然科学基金项目(62063001) （20224ACB204022）
