中药材的质量是制约中药现代化与产业化的“瓶颈”，如何解决这一关键问题 ?本文基于作者多年来在中药质量控制领域的研究体会，结合国内外该领域的研究进展和发展趋势，从一个新的视角提出了开展中药材全息图谱质量评测人工智能系统构建研究的策略。研究的核心是探讨应用全息图谱 (性状图谱、显微特征图谱、基因图谱、化学全成分图谱、主成分含量图谱、血清药化学图谱等 )控制中药材质量的研究方法，并在此基础上，利用计算机图像识别技术与专家系统体系，建立一套完整的中药材质量检测人工智能系统，实现中药材的数字化、自动化检测过程。

The quality of Chinese medicinal materials is a key problem which obstructs the modernization and industrialization of Traditional Chinese medicine. Based on the practice of many years in the research of traditional Chinese medicine and in combination with the development in this field, the authors suggest to establish an artificial intelligence system for quality evaluation of Chinese medicinal materials. This system uses the characteristic fingerprinting of multi－ data (macroscopoc, microscopic, and genetic fingerprinting as well as qualitaticve fingerprinting for the analysis of chemical components of Chinese medicinal material plus computer image recognition technology and expert system to achieve digital and automatic control of their quality.

国家重点科技攻关资助项目 (99－929－04－06)