上海海洋大学学报2026，Vol.35Issue(2)：391-403,13.DOI:10.12024/jsou.20251104991
深远海养殖智能化监测技术研究与发展
Research and development of intelligent monitoring technology for offshore aquaculture
摘要
Abstract
As an emerging field in China's agricultural development,offshore aquaculture relies on intelligent monitoring as a fundamental prerequisite for ensuring its economic benefits and quality,and it is also an important basis for risk identification and early warning.To further serve industrial development,this paper focuses on intelligent monitoring technologies for offshore aquaculture.Based on existing research findings,it classifies and sorts out the current development status of these technologies,dividing them into monitoring technologies for aquaculture equipment,cultured organisms,and aquaculture environments,which cover the main contents of the offshore aquaculture process.In addition to the traditional monitoring of water quality,structural health,and fish,this paper further points out that with the development and expansion of the offshore aquaculture industry,the monitoring of underwater noise and safety environments of platforms will also become increasingly important.Based on the technical characteristics at the present stage,this paper systematically summarizes the urgent problems that need to be solved currently,including in-situ measurement capabilities,equipment quality,and noise monitoring standards,as well as front-end sensing technologies and back-end data processing support technologies.This paper also looks forward to the future development trends of the technology,including digital intelligence driven,multi-modal integration and fusion,biofouling protection,and system construction.As the intelligence level of monitoring technologies continues to improve,a complete intelligent data support system for land-sea interaction will be formed,which will further promote the development and growth of the marine digital industry.关键词
深远海/养殖装备监测/养殖对象监测/养殖环境监测/智能化Key words
offshore/aquaculture equipment monitoring/aquaculture object monitoring/aquaculture environment monitoring/intelligent分类
农业科技引用本文复制引用
陈夏华,凌文昌,董阳泽,李俞锋,陈潇..深远海养殖智能化监测技术研究与发展[J].上海海洋大学学报,2026,35(2):391-403,13.基金项目
广东省海洋经济发展(海洋六大产业)专项(GDNRC[2023]33) （海洋六大产业）
