基于多层网络的数字孪生城市数据管理与智能决策探索  

Exploration on the Data Management and Intelligent Decision-Making of Digital Twin City Based on Multi-Layer Network

作　　者：王松瑞 宋靖华[1] Wang Songrui;Song Jinghua

机构地区：[1]武汉大学城市设计学院

出　　处：《城市建筑》2025年第3期91-95,共5页Urbanism and Architecture

基　　金：国家自然科学基金(50608061);湖北省人民政府智力成果采购项目(2023HB-ZLCG-15)。

摘　　要：城市是复杂的、多层次、相互嵌套的自组织系统,数字孪生城市建设中数据的集成分析依然是核心议题。针对当前最新的研究进展及实际建设过程中出现的问题,本研究利用多层网络的理论和方法来集成分析多源异构的城市信息数据,构建交互式多层级的网络数据系统,实现多点位储存和查询调取系统并行处理,在此基础上,探索数字孪生城市模型的自组织运行模式,从而实现智慧城市的高度智能化决策。Cities are complex,multi-level and mutually nested self-organized systems.The integration and analysis of data in the construction of digital twin cities is still the core topic.In response to the latest research advancements and the issues encountered in practical construction processes,this paper uses the theory and method of multilayer network to integrate and analyze the heterogeneous urban information data from multiple sources,constructs an interactive multilayer network data system,and realizes the parallel processing of multi-point storage,query and retrieval system.Based on this,it explores a self-organized operation mode for the digital twin city model,so as to achieve the high intelligent decision-making of the smart city.

关 键 词：数字孪生 多层网络 数据管理 自组织 智能决策 

分 类 号：TU981[建筑科学—城市规划与设计]