本文系统探讨DeepSeek技术在学校内网图书馆智慧化服务中的应用场景，通过构建“技术赋能场景创新-风险防控”三维分析框架，揭示其在智能检索、知识推荐、资源管理等领域的技术实现路径。结合学校特色，研究如何基于本地化部署的“数据闭环-权限分级-动态脱敏”安全架构，并针对AI幻觉、信息茧房等风险构建“技术校验-人工干预-制度约束”协同治理机制。

This paper systematically explores the application scenarios of DeepSeek technology in the intelligent services of school intranet libraries. By constructing a three-dimensional analytical framework of “technology empowerment-scenario innovation-risk prevention and control,” it reveals the technical implementation pathways in areas such as intelligent retrieval, knowledge recommendation, and resource management. Combining school characteristics, the study investigates how to establish a localized deployment security architecture based on “data closed-loop-permission hierarchy-dynamic desensitization,” and proposes a collaborative governance mechanism of “technical verification-human intervention-institutional constraints” to address risks such as AI hallucination and information cocoons.