摘要
数字孪生是数字化转型的重要落脚点,数据治理是数字孪生物理实体与虚拟实体交互融合的核心,城市信息模型CIM平台是面向数字孪生的数据治理的重要支撑平台。本文分析了面向数字孪生数据治理的范围与内容,基于CIM平台提出了数据治理框架,对基于工作流的数据治理与基于分层分级的多源数据可视化等技术进行了研究,提炼出上海市CIM平台数据治理建设成果。通过研究与实践证明,本文提出的数据治理框架具有可行性、扩展性和开放性,可为数字孪生背景下数据治理研究与应用实践提供参考。
Digital twin is an important foothold of digital transformation,and data governance is the core of the interaction and integration of both physical and virtual entities of digital twin.The City Information Model(CIM)is an important platform which supports for data governance facing digital twin.This paper first analyzes the scope and content of digital twin-oriented data governance,proposes a data governance framework based on the CIM platform,and then studies the technologies of data governance on the basis of workflow and multi-source data visualization through hierarchical classification and other technologies,which finally obtains the results of data governance construction and application services of the CIM platform in Shanghai.Through research and practice,it has proved that the framework proposed in this paper is feasible,extendible,and open,which can provide reference for data governance research and application practice under the context of digital twin.
作者
汪枫
Wang Feng(Shanghai Urban-Rural Construction and Transportation Development Research Institute,Shanghai 200032,China)
出处
《土木建筑工程信息技术》
2023年第3期1-6,共6页
Journal of Information Technology in Civil Engineering and Architecture
基金
上海市2021年度“科技创新行动计划”社会发展科技攻关项目——超大城市“空间数字底座”关键技术研究(编号:21DZ1204104)
上海市住房和城乡建设管理委员会“揭榜挂帅”科研项目——城市信息模型(CIM)基础平台关键技术研究与应用示范(编号:沪建科2022-ZD-009)。
关键词
数字孪生
数据治理
城市信息模型
工作流
可视化
Digital Twin
Data Governance
City Information Model(CIM)
Work Flow
Visualization
