非物质文化遗产（非遗）是民族文化传承的核心载体，资源库则是利用现代科技对非遗进行数字化保护与活化的关键基础设施。当前传统非遗资源库受限于技术架构，普遍在数据处理、知识挖掘与应用活化方面存在显著局限，难以适配数字时代需求。本文系统探讨AI技术在非遗资源库建设的整体框架、技术适配与功能开发，分析出当前人工智能驱动下的非遗资源库建设存在的现实挑战与相应对策。研究旨在明确AI驱动非遗资源库建设的核心逻辑与个性化应用场景，为解决传统资源库痛点，推动非遗资源从“沉睡数据”转化为文化创新与教育传播的活性素材，为非遗资源数字化保护提供理论支撑与实践参考。

Intangible Cultural Heritage (ICH) is the core carrier of national cultural inheritance, and resource databases serve as the key infrastructure for the digital protection and activation of ICH using modern technology. Currently, traditional ICH resource databases are limited by their technical architecture, generally exhibiting significant shortcomings in data processing, knowledge mining, and application activation—making it difficult to meet the needs of the digital age. This study systematically explores the overall framework, technical adaptation, and functional development of AI technology in the construction of ICH resource databases, and analyzes the practical challenges and corresponding countermeasures in the current AI-driven construction of ICH resource databases. The research aims to clarify the core logic and personalized application scenarios of AI-driven ICH resource database construction, address the pain points of traditional resource databases, transform ICH resources from "dormant data" into active materials for cultural innovation and educational communication, and provide theoretical support and practical references for the digital protection of ICH resources.