区块链与城市信息模型(CIM):透明与效率的新途径

IF 3.6 Q1 ENGINEERING, CIVIL Journal of Information Technology in Construction Pub Date : 2023-11-07 DOI:10.36680/j.itcon.2023.37
Oluwatoyin Lawal, Nawari O. Nawari
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引用次数: 0

摘要

十多年来,数字建模已经超越了几何表示,使用现实生活中的属性进行更高级的基于对象的建模。数字技术,特别是建筑信息模型(BIM)已经广泛应用于建筑、工程、建设和运营(AECO)行业,而城市信息模型(CIM)作为BIM在城市信息学领域的延伸已经出现。本研究提出了一个使用多级嵌套数据环境集成异构CIM的框架。CIM是通过与地理信息系统(GIS)接口同步的BIM模型网络开发的。通过将单个BIM模型连接到分布式账本,并使用建筑级框架中的公共数据环境(CDE)在项目合作者网络中共享,从而实现了区块链。在城市级框架中,由BIM模型网络生成的CIM在资产所有者之间共享。用例场景说明了研究在现实生活中的应用,并讨论了研究的局限性。该研究旨在改善建筑物和城市资产的管理,通过区块链- cim集成为协作和数据共享提供更高效、更安全的平台,为数字建模和智能技术的进一步研究提供机会。
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Blockchain and City Information Modeling (CIM): A New Approach of Transparency and Efficiency
For over a decade, digital modelling has transcended geometric representations to more advanced object-based modelling using real-life attirbutes. Digital technologies, especially Building Information Modelling (BIM) have been widely adopted in the Architecture, Engineering, Construction, and Operations (AECO) industry, while a newer niche - City Information Modelling (CIM) has emerged as an extension of BIM for urban informatics. This research proposes a framework that integrates heterogeneous CIM using a multi-level, nested data environment. The CIM is developed through a network of BIM models synchronized into a Geographic Information Systems (GIS) interface. The individual BIM models are blockchain-enabled by connecting them to a distributed ledger and shared across a network of project collaborators using a Common Data Environment (CDE) in a Building Level Framework.. The resulting CIM from the network of BIM models is shared between the asset owners in a City Level Framework. Use case scenarios are presented to illustrate the application of the research in real life, and research limitations are discussed. The study aims to improve management of buildings and urban assets, providing a more efficient and secure platform for collaboration and data sharing through a blockchain-CIM integration, providing opportunities for further research in digital modelling and smart technologies.
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来源期刊
CiteScore
6.90
自引率
8.60%
发文量
44
审稿时长
26 weeks
期刊最新文献
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