热带海洋学报

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人工智能赋能海洋科技现状与发展战略思考

陶诚1 ,吴园涛2 ,周洪1 ,殷建平3* ,熊萍1*   

  1. 1. 中国科学院武汉文献情报中心科技大数据湖北省重点实验室,湖北 武汉 430071

    2. 中国科学院战略高技术研究局 北京 100864

    3. 中国科学院南海海洋研究所 广东 广州 510301



  • 收稿日期:2026-01-19 修回日期:2026-04-13 接受日期:2026-04-16
  • 通讯作者: 熊萍
  • 基金资助:
    国家自然科学基金项目(42442108);中国科学院战略性先导科技专项(A类)(XDA0370602)

Thoughts on the Current Situation and Development Strategy of Artificial Intelligence Empowering Marine Science and Technology

TAO Cheng1, WU Yuantao2, ZHOU Hong1, YIN Jianping3*, XIONG Ping1*   

  1. 1. National Science Library (Wuhan), Chinese Academy of Sciences, Wuhan 430071, China

    2. Bureau of Strategic High-tech Development, Chinese Academy of Sciences, Beijing 100864, China

    3. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China



  • Received:2026-01-19 Revised:2026-04-13 Accepted:2026-04-16
  • Supported by:

    Project of the National Natural Science Foundation of China (42442108);Strategic Priority Research Program of the Chinese Academy of Sciences (A) (XDA0370602)

摘要: 人工智能(Artificial Intelligence, AI)技术的迅猛发展为海洋科技带来了颠覆性变革,其强大的数据处理、模式识别和预测分析能力,正深刻改变着海洋科学研究范式和应用格局。本文系统梳理并剖析了主要海洋强国关于AI应用的战略布局、国际重要海洋学术组织报告和国际论文发表情况,全面总结AI@海洋战略布局、发展历程、前沿动态和应用场景,并在此基础上提出了未来发展的启示。从国家战略布局看,各海洋强国纷纷加强AI@海洋的研究计划和投入;从技术发展看,物理驱动和数据驱动融合的AI方法、海洋数字孪生和海洋大模型正成为驱动海洋科技重要引擎;从应用场景看,AI技术在海洋基础建设、智能海事、气候变化、灾害预警以及生态保护正在发挥重大作用,而AI与水下机器人的结合拓展了深海探索范围。尽管我国论文产出与影响力已居世界前列,但在建设海洋强国的目标牵引下,我国应加强:(1)多源异构的数据观测和整合,夯实高质量海洋大数据建设;(2)发展物理可解释的海洋大模型,大幅提升海洋预测的精度和效率;(3)加大AI在深潜器、深钻、海底空间站、“空-天-岸-海-潜”一体化海底观测网高速发展,围绕深海环境精准保障、深海采矿、深海能源、智能海事、智能养殖等场景打造AI试验区。

关键词: 人工智能, 海洋科技, 战略规划, 定量分析

Abstract: The rapid advancement of artificial intelligence (AI) technology has brought transformative changes to marine science and technology. With its strong capabilities in data processing, pattern recognition, and predictive analytics, AI is fundamentally reshaping the methodologies and application frameworks in this domain. This paper presents a systematic review and analysis of AI applications in marine science, drawing on strategic initiatives from major maritime nations, reports issued by prominent international marine scientific organizations, and peer-reviewed scholarly publications. It provides a comprehensive summary of the strategic positioning, developmental trajectory, current trends, and key application areas of AI in oceanic research—termed AI@Ocean—and derives actionable insights for future advancements. From a national strategic perspective, leading maritime countries are increasing investments and strengthening research agendas in AI@Ocean. Technologically, hybrid approaches that integrate physics-based modeling with data-driven AI techniques, as well as ocean digital twins and large-scale ocean models, are emerging as pivotal drivers of innovation. In practical applications, AI is playing an increasingly critical role in marine infrastructure, intelligent maritime operations, climate change assessment, disaster early warning systems, and ecosystem conservation. The integration of AI with underwater robotic systems has significantly enhanced the scope and efficiency of deep-sea exploration.While our country has achieved a leading global position in academic output and influence in this field, realizing the strategic goal of becoming a maritime power necessitates strengthening the observation and integration of multi-source, heterogeneous marine data to establish a robust foundation for high-quality marine big data; advancing the development of physically interpretable, large-scale ocean models to improve the accuracy and efficiency of marine predictions; and accelerating the deployment and innovation of AI technologies in Precise guarantee of deep-sea environment, deep-sea submersibles, deep drilling, undersea space stations, and integrated space-air-sea-subsurface ocean observation networks.

Key words: artificial intelligence, marine science and technology, strategic planning, quantitative analysis