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作 者:胡振中 刘毅 林超 HU Zhenzhong;LIU Yi;LIN Chao(Tsinghua Shenzhen International Graduate School,Shenzhen 518071,China)
机构地区:[1]清华大学深圳国际研究生院,广东深圳518071
出 处:《工业建筑》2022年第10期195-203,共9页Industrial Construction
基 金:国家重点研发计划(2018YFD1100900);国家自然科学基金(51778336)。
摘 要:随着社会信息化进程的不断加快,信息技术逐渐成为建筑从业人员提升工程管理质量的重要手段,BIM作为建筑领域数字化发展的关键组成部分被广泛应用于工程管理之中,如何在已有理论和应用的基础上进一步发展工程管理信息技术成为研究者关注的焦点。分别从工程数据的组织与处理以及挖掘与分析这两个方面对BIM相关研究进行总结与归纳,包括IFC标准、多尺度信息模型、模型轻量化技术,以及工程领域数据挖掘的关键步骤与典型方法。在此基础上,对BIM与工程信息技术面临的瓶颈问题进行分析,并指出和探讨了三个未来主要的发展方向:工程领域数字孪生、城市信息模型、工程领域知识图谱,为进一步的研究与技术应用提供参考。As the process of social informatization accelerates,information technologies have gradually become an important means for construction practitioners to improve the quality of engineering management.As a key component of the digital development of the construction industry,building information modeling(BIM)has been widely applied in engineering management.How to further develop information technologies for engineering management on the basis of existing theories and applications has thus become the focus of researchers’attention.This paper summarized BIM-related research from two aspects:the organization and processing of engineering data as well as the mining and analysis of such data.The research investigated involved the Industry Foundation Classes(IFC)standard,multi-scale information models,model lightweighting technology,and the key steps and typical methods of data mining in the engineering industry.On this basis,the bottleneck problems faced by BIM and information technologies for engineering were analyzed,and three main future development directions were then proposed and discussed:digital twins in the engineering industry,city information models,and knowledge graphs in the engineering industry.This paper is expected to provide a reference for further research and technology application.
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