Artificial intelligence enables high-level development and high-quality construction of digital twin city

doi:10.12267/j.issn.2096-5931.2025.03.010

Abstract

Abstract:

The digital twin city has become an important path for city-wide digital transformation as the digitization process continues to accelerate and develop in depth. The urban digital twin fuses massive cross-industry data, making it possible for the city’s operating mechanism to be presented in real time in digital space and deduced in advance. Accompanied by the explosive development of generative Artificial Intelligence(AI), new technology application scenarios and new modes such as AI Generated Content, Agent, and embodied intelligence continue to emerge. In the field of digital twin city, AI has shown a strong enabling role in 3D data generation, multimodal data input and output, group intelligence in digital space, and single body intelligence in physical space. And AI has initially formed the enabling role and path of seven aspects, including twin rapid modeling, 3D data automatic generation, rapid scene creation, intelligent decision-making, algorithmic scenario autonomy, multimodal data processing, and virtual and real interaction control. It helps to promote the high-level advancement of city-wide digital transformation.

Key words: digital twin city, artificial intelligence, agent, embodied intelligence

CLC Number:

TP39

LIU Gaofeng, JIANG Yuehan, ZHANG Yuxiong. Artificial intelligence enables high-level development and high-quality construction of digital twin city[J]. Information and Communications Technology and Policy, 2025, 51(3): 74-82.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2025.03.010

http://ictp.caict.ac.cn/EN/Y2025/V51/I3/74

Figures/Tables 6

References 14

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阶段	第一阶段	第二阶段	第三阶段	第四阶段	第五阶段
核心动力	三维模型驱动	渲染驱动	感知闭环驱动、双向控制	全息仿真驱动	AI驱动
技术发展	计算机建模仿真技术(CAE、CAD) 地理信息技术快速发展	GIS、BIM、游戏引擎等技术融合应用	感知、自动化控制等技术与模型深度融合	基于AI的大场景仿真技术以及增强现实/虚拟现实/扩展显示等技术快速发展	AIGC、智能体
基本特征	几何模型孪生、静态孪生	空间孪生、可视孪生	视频融合、实时孪生、实景孪生	机理模型孪生,智能优化、沉浸交互	虚实共生、同步生长、自我优化
应用方向	航空制造、工业场景	医疗、建筑、城市等领域探索应用	规划、水利、交通、能源等探索应用	文旅、水利、交通、应急等深度应用,开始面向个人的场景应用	全领域、全场景应用,实现元宇宙

阶段	第一阶段	第二阶段	第三阶段	第四阶段	第五阶段
核心动力	三维模型驱动	渲染驱动	感知闭环驱动、双向控制	全息仿真驱动	AI驱动
技术发展	计算机建模仿真技术(CAE、CAD) 地理信息技术快速发展	GIS、BIM、游戏引擎等技术融合应用	感知、自动化控制等技术与模型深度融合	基于AI的大场景仿真技术以及增强现实/虚拟现实/扩展显示等技术快速发展	AIGC、智能体
基本特征	几何模型孪生、静态孪生	空间孪生、可视孪生	视频融合、实时孪生、实景孪生	机理模型孪生,智能优化、沉浸交互	虚实共生、同步生长、自我优化
应用方向	航空制造、工业场景	医疗、建筑、城市等领域探索应用	规划、水利、交通、能源等探索应用	文旅、水利、交通、应急等深度应用,开始面向个人的场景应用	全领域、全场景应用,实现元宇宙

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