DeepSeek在航天科研生产中的应用研究  

Research on the Application of DeepSeek in Aerospace Scientific Research and Production

作　　者：闵斌[1] 林立芳 吴健 马超 陈扶鼎 MIN Bin;LIN Lifang;WU Jian;MA Chao;CHEN Fuding(Shanghai Academy of Spaceflight Technology,Shanghai 201109,China;Shanghai Institute of Aerospace Technology and Basic Research,Shanghai 201109,China)

机构地区：[1]上海航天技术研究院,上海201109 [2]上海航天技术基础研究所,上海201109

出　　处：《上海航天(中英文)》2025年第2期1-8,18,共9页Aerospace Shanghai(Chinese&English)

摘　　要：目前人工智能技术飞速发展,大模型领域的每一次技术突破都吸引着众多人的目光。2025年,DeepSeek R1模型凭借高性能、低成本、开源等特性,一经发布便成为行业关注的焦点,多个行业、企业以及政务系统纷纷宣布接入DeepSeek或进行本地化部署,应用场景全面涌现。在航天科研生产环节,DeepSeek可在智能制造、故障诊断、仿真测试等场景具备应用潜力,本文从DeepSeek的技术优势、局限性以及应用场景等方面开展研究,为DeepSeek在航天科研生产环节的高效部署提供参考。In the era of rapid development in the artificial intelligence(AI)technology,every breakthrough in the field of large-scale models captivates global attention.At the dawn of 2025,the DeepSeek R1 model emerges as a dark horse,swiftly becoming the industry’s focal point upon its release due to its high performance,low cost,and opensource nature.Numerous industries,enterprises,and government systems have successively announced integrations with DeepSeek-R1 or its localized deployments,leading to a widespread emergence of application scenarios.Inaerospace research and production,DeepSeek demonstrates significant application potential across various scenarios,including artificial manufacturing,fault diagnosis,and simulation testing.In this paper,the technical advantages and limitations of DeepSeek are investigated,along with its application scenarios,aiming to provide insights for its efficient deployment in aerospace research and production.

关 键 词：DeepSeek 人工智能(AI) 航天 生产 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] V52[自动化与计算机技术—控制科学与工程]