摘要:目前，经济社会各领域正在从数字化、网络化向智能化加速跃升。如何结合人工智能技术提升土木建筑行业的智能化水平是学者们关注的热点问题。BIM技术是该领域数字化、网络化发展的重要成果。在BIM技术进入深度应用、普及应用和规模化应用阶段，如何自动和智能地实现对BIM模型质量多方位、客观、量化评价是一项重要内容。本文结合课题组BIMChecker工具的研发实践和研究成果，阐述了如何综合应用领域特定语言设计、自然语言处理、知识图谱、数据挖掘、机器学习等重要技术，解决建筑规范理解和表示、BIM模型语义信息抽取和组织、新知识发现、图纸图元自动识别等关键问题的思路、方法及效果，并介绍了BIMChecker工具在典型项目上的应用示范。本文为探索人工智能技术在土木建筑行业的有效结合和应用点提供参考借鉴。

Abstract: At present, all the economic and social fields are rapidly evolving from digitization, networked to intelligentization. It is already a heated research topic how to apply the artificial intelligence technologies to improve the intelligent level of civil construction industry. The BIM technology is an important achievement in the digital and networked development of this field. When it enters the stage of deeper, popularizd and large-scaled application of BIM technology, how to get a multi-directional, objective and quantitative evaluation of the quality of BIM models automatically and intelligently becomes an important issue. This paper combines the research and developmentpractice of the BIMChecker in our research group, and elaborates how to apply the domain-specific language design, the natural language processing, the knowledge graph, the data mining, the machine learning and other important technologies in this filed. The techniques are applied to realize the understanding and representation of building codes, the extraction and organization of semantic information of BIM models, new knowledge discovery, and automatic identification of drawing symbols, etc. The effective applications of the BIMChecker on typical projects are also demonstrated. This paper provides reference for exploring the effective combination and application of artificial intelligence technologies in the civil construction industry.