智能建造提速，需迈几道坎？

Core Viewpoint - The construction industry is increasingly integrating technologies such as big data, IoT, and artificial intelligence, leading to improved efficiency and quality in traditional construction practices. The implementation of smart construction technologies is being accelerated by supportive policies and guidelines from the government [1][2]. Group 1: Policy and Technological Integration - The Central Committee of the Communist Party and the State Council issued guidelines to promote new urban infrastructure, emphasizing the collaboration between smart construction and industrialization [2]. - The guidelines include tasks such as deepening the application of Building Information Modeling (BIM) technology and promoting the integration of automated construction machinery and robotics [2][3]. - The Chongqing East Station project exemplifies the successful application of BIM and GIS technologies, showcasing the effectiveness of smart construction management platforms [2][3]. Group 2: AI Application and Challenges - The application of artificial intelligence in the construction industry is still in its early stages, with limited use in core areas such as design and analysis [4][5]. - Challenges include data privacy concerns, the need for high-quality training data, and the complexity of integrating multiple independent data systems [5][6]. - Despite these challenges, AI has the potential to optimize construction management, enhance safety, and break down information silos within the industry [5][6]. Group 3: Future Directions and Recommendations - To facilitate the deployment of AI in construction, local deployment of large models is recommended to ensure data privacy, although high computational costs remain a barrier [6]. - The industry is encouraged to collaborate in building a shared large model to enhance data quality and standardization, which is crucial for effective AI application [6].