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基于BIM的城市道路数字双胞胎框架:整合MMS和市政地理空间数据用于AI准备的城市基础设施管理
Vittorio Scolamiero1,2, Piero Boccardo2
1Department of Civil, Building and Environmental Engineering (DICEA), Sapienza Università di Roma, Via Eudossiana, 18, 00184 Rome, Italy.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了城市道路网络的新型数字双胞胎 (DT) 方法,将移动地图数据与市政数据库集成在一起. 这种方法通过多尺度可视化和AI-ready数据融合来增强道路管理,以实现可持续的基础设施规划.
科学领域:
- 地理空间工程是什么?
- 城市规划 城市规划
- 数字双胞胎技术的数字双胞胎技术
背景情况:
- 对于城市基础设施管理而言,数字双胞胎 (DT) 的采用正在增长.
- 对于城市道路网络的DT应用是有限的,特别是在整合不同的地理空间数据方面.
- 现有的方法与语义丰富性和道路网络的多尺度表示作斗争.
研究的目的:
- 介绍开发城市道路基于建筑信息建模 (BIM) 的数字双胞胎的方法.
- 将异构的地理空间数据集 (MMS,地理数据库) 整合到一个含义丰富的多尺度道路网络模型中.
- 在城市道路管理中为AI准备的应用奠定基础.
主要方法:
- 开发了城市道路数字双胞胎的多模式,多规模和多层次框架.
- 集成移动地图系统 (MMS) 衍生LiDAR点云用于3D重建.
- 将市政地理数据库 (路面状况,道路分类) 的语义信息添加到模型中.
主要成果:
- 为超过45公里的城市道路网络创建了一个数字双胞胎框架,其几何精度为±3厘米.
- 启用了多尺度可视化,资产管理和预测性维护功能.
- 实现了对可互操作数据的几何精度与语义丰富性的整合.
结论:
- 拟议的方法提供了一个可扩展和可互操作的框架,用于可持续的城市道路管理.
- 数字双胞胎支持AI-ready应用程序,如自动缺陷检测和交通模拟.
- 这种方法推进了数字双胞胎的应用,超越了建筑物到复杂的城市道路基础设施.
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