点云数据驱动的综合管廊数字孪生模型应用

Application of Digital Twin Model for Utility Tunnels Driven by Point Cloud Data

摘要:

以某综合管廊试验基地为依托，通过非接触式点云数据获取方式，进行了管廊实体点云数据获取、分析。在虚拟端，利用点云数据分析成果与BIM技术完成综合管廊试验段数字孪生模型建立；在现实端，通过各类传感设备配置以及物联网感知系统搭建，完成综合管廊实体物联网感知平台建立，实现了虚-实交互验证组合。借助试验基地的地下管廊数字孪生模型与物联网感知系统，研究实现各类地质与荷载条件下的结构灾害模拟，实现从检测评估到快速修复的全过程技术验证。通过真实场景试验与数字孪生模型仿真的系统联动，为城市地下生命线工程运行维护与灾害防治提供科学支撑。

Abstract:

Relying on a utility tunnel test base, the non-contact point cloud data acquisition is employed to obtain and analyze the physical point cloud data of the utility tunnel. On the virtual side, a digital twin model of the utility tunnel test section is established by using the point cloud data analysis results and BIM technology. On the real side, through the configuration of various sensing devices and the construction of the Internet of Things perception system, the physical Internet of Things perception platform for the utility tunnel is established, achieving the combination of virtual and real interactive verification. Leveraging the digital twin model of the underground utility tunnel at the test site and the IoT perception system, the structural disaster simulations are studied and achieved under various geological and load conditions, enabling the validation of the entire process from detection and assessment to rapid repair. Through the systematic integration of real scenario tests and digital twin model simulations, the scientific support is provided for the operation, maintenance and disaster prevention of urban underground lifeline engineering.