水下捕捞机器人视觉系统发展趋势分析  

Development Trend Analysis of Underwater Fishing Robot Vision System

作　　者：陈真 朱嘉晟 陈潇潇 冯炳星 曹杰 石博博 CHEN Zhen;ZHU Jiasheng;CHEN Xiaoxiao;FENG Bingxing;CAO Jie;SHI Bobo(COSCO(Nantong)Clavon Ship Engineering Co.,Ltd.,Nantong 226006,Jiangsu,China;College of Navigation and Ship Engineering,Dalian Ocean University,Dalian 116023,Liaoning,China;School of Economics and Management,Dalian Ocean University,Dalian 116023,Liaoning,China)

机构地区：[1]南通中远克莱芬船舶工程有限公司,江苏南通226006 [2]大连海洋大学航海与船舶工程学院,辽宁大连116023 [3]大连海洋大学经济管理学院,辽宁大连116023

出　　处：《造船技术》2024年第3期49-54,77,共7页

基　　金：2023辽宁省教育厅高校基本科研基金(编号:JYTMS20230472)。

摘　　要：为突破作业环境、劳动力等因素对渔业发展的制约,解决当前水下捕捞能见度低、机器人识别分辨率低等问题,促进渔业向现代化转型升级,从学术角度梳理、分析国内外水下机器人视觉系统关键技术发展趋势,为相关研究提供参考。基于CiteSpace软件,分别选取中国知网(China National Knowledge Infrastucture,CNKI)的数据库和Web of Science的核心数据库的文献样本,从发文量分布、关键词共现图谱、关键词时间线图谱等方面完成可视化分析,并对水下捕捞机器人作业环境、视觉系统技术进行阐述。发文量和关键词时间线图谱表明,国内外水下机器人视觉系统关键技术的研发均经历初始阶段、探索阶段和成长阶段。关键词共现图谱分析表明,人机交互、识别算法设计等方面是水下机器人视觉系统相关研究的热点。未来,水下捕捞机器人视觉系统发展应聚焦智能化、自主化,重点解决目标检测优化、水生物数据库建立、数字化系统构建等多方面难点问题。In order to break through the constraints of operation environment,labor force and other factors on the fishery development,solve the current problems of low visibility in underwater fishing and low resolution of robot identification,and promote the transformation and upgrading of the fishery toward the modernization,the development trend of key technologies of underwater robot vision system at home and abroad is sorted out and analyzed in an academic perspective to provide reference for the related research.Based on the CiteSpace software,the literature samples from the databases of China National Knowledge Infrastructure(CNKI)and core databases of Web of Science are selected respectively,the visualization analysis in quantity of published articles,keyword co-occurrence map,keyword timeline map,etc.,is completed,and the operation environment and vision system technology of underwater fishing robot are expounded.The quantity of published articles and keyword timeline map show that the research and development of key technologies of underwater robot vision system at home and abroad both go through the initial stage,exploration stage and growth stage.The keyword co-occurrence map shows that the human-computer interaction,recognition algorithm design and other aspects are the hot spots of relative research on the underwater robot vision system.In the future,the development of underwater fishing robot vision system should focus on the intelligence and autonomy,and the special stress should be laid on solving many difficult problems such as object detection optimization,aquatic organism database establishment,and digital system construction.

关 键 词：水下捕捞机器人 水下机器人 视觉系统 发展趋势 可视化分析 

分 类 号：TP242.62[自动化与计算机技术—检测技术与自动化装置] S973[自动化与计算机技术—控制科学与工程]