This article presents a state-of-the-art review of the applications of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in building and construction industry 4.0 in the facets of architectural design and visualization; material design and optimization; structural design and analysis; offsite manufacturing and automation; construction management, progress monitoring, and safety; smart operation, building management and health monitoring; and durability, life cycle analysis, and circular economy. This paper presents a unique perspective on applications of AI/DL/ML in these domains for the complete building lifecycle, from conceptual stage, design stage, construction stage, operational and maintenance stage until the end of life. Furthermore, data collection strategies using smart vision and sensors, data cleaning methods (post-processing), data storage for developing these models are discussed, and the challenges in model development and strategies to overcome these challenges are elaborated. Future trends in these domains and possible research avenues are also presented.

本文介绍了人工智能 (AI)、机器学习 (ML) 和深度学习 (DL) 在建筑和建筑工业 4.0 在建筑设计和可视化方面的应用的最新回顾；材料设计和优化；结构设计和分析；异地制造和自动化；施工管理、进度监控和安全；智能运营、楼宇管理和健康监测；和耐久性、生命周期分析和循环经济。本文对 AI/DL/ML 在这些领域中的整个建筑生命周期（从概念阶段、设计阶段、施工阶段、运营和维护阶段直到生命周期结束）的应用提出了独特的视角。此外，使用智能视觉和传感器的数据收集策略，讨论了数据清理方法（后处理）、用于开发这些模型的数据存储，并阐述了模型开发中的挑战和克服这些挑战的策略。还介绍了这些领域的未来趋势和可能的研究途径。