计算机科学
建筑信息建模
分析
自动化
人工智能
杠杆(统计)
背景(考古学)
自然语言理解
软件工程
数据科学
自然语言处理
自然语言
工程类
古生物学
相容性(地球化学)
生物
机械工程
化学工程
出处
期刊:Edward Elgar Publishing eBooks
[Edward Elgar Publishing]
日期:2022-01-01
卷期号:: 248-267
标识
DOI:10.4337/9781839105524.00022
摘要
The digital and integrated representation of the physical and functional characteristics of buildings enabled by building information modeling (BIM) provides a computational environment for automated compliance checking (ACC) of building designs. The integration of natural language processing (NLP) and artificial intelligence (AI) with BIM brings further opportunities for ACC – it can empower BIM with text analytics and AI capabilities, thereby injecting intelligence and automation in the compliance checking processes. This chapter highlights emerging approaches that aim to facilitate and harness the marriage of BIM, NLP, and AI to enable the next generation of automated compliance checking systems (ACC) systems. This chapter (1) reviews different types of BIM-based ACC systems that leverage NLP and AI techniques, (2) discusses how NLP and AI techniques are applied in regulatory text analytics tasks and BIM information analytics tasks in the context of ACC, and (3) discusses the future trends of BIM-based ACC systems.
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