深远海养殖智能化监测技术研究与发展
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S 951

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广东省海洋经济发展(海洋六大产业)专项(GDNRC〔2023〕33)


Research and development of intelligent monitoring technology for offshore aquaculture
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    摘要:

    深远海养殖作为我国农业发展的新兴领域,智能化监测是保障其养殖经济效益和质量的基本前提,也是风险识别和预警的重要依据。为了进一步服务于产业发展,本研究聚焦于深远海养殖的智能化监测技术,结合现有研究成果,对技术发展状况进行分类梳理,将其划分为养殖装备、养殖对象和养殖环境监测技术,涵盖了深远海养殖过程中的主要内容。除对水质、结构健康以及鱼类的相关监测外,本研究进一步指出平台水下噪声和安全环境等的监测随着深远海养殖产业的发展和规模的扩大也将变得重要。基于现阶段的技术特点,系统总结了原位测量能力、设备质量和噪声监测规范等当前亟需解决的问题,包括前端传感技术和后端的数据处理支持技术等。对未来技术发展的趋势进行了展望,包括:数智化赋能、多模态集成与融合、生物附着防护以及体系构建等,随着深远海养殖监测技术的智能化程度不断提高,将形成一个完整的陆海联动的智能化数据支撑体系,这将会进一步促进海洋数字化产业的发展壮大。

    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.

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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.
CHEN Xiahua, LING Wenchang, DONG Yangze, LI Yufeng, CHEN Xiao. Research and development of intelligent monitoring technology for offshore aquaculture[J]. Journal of Shanghai Ocean University,2026,35(2):391-403.

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  • 收稿日期:2025-11-30
  • 最后修改日期:2026-02-11
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  • 在线发布日期: 2026-03-24
  • 出版日期: 2026-03-31
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