数字孪生驱动的桥梁智能建造方法

Intelligent bridge construction method driven by digital twin

智能化是桥梁建设的重要方向,数字孪生是实现桥梁智能建造的有效途径。数字孪生将现实环境中桥梁的结构、状态和行为等映射到虚拟环境,为透彻理解和精准控制桥梁建造过程提供新手段。本文首先分析了桥梁及其环境高精度数字孪生与桥梁智能建造背景及发展趋势,然后提出了桥梁建造全过程数字孪生构建方法,探讨了空天地一体化监测数据关联融合、数字孪生场景智能构建与增强可视化、过程动态仿真与智能预测等关键技术,最后以复杂艰险山区大型桥梁建造为例开展案例应用分析,本文方法可望为复杂环境大型桥梁工程智能建造提供有效的理论指导和关键技术支撑。

In recent years,China’s infrastructure construction has expanded into remote,rugged mountainous regions,making bridge construction more challenging than ever before.These difficult environments make collecting data,simulating scenarios,and managing information effectively extremely challenging,resulting in the need for improved quality assurance during construction.To meet these challenges,the concept of digital twinning has emerged as a crucial tool for achieving intelligent construction.By mapping the attributes,structures,states,performances,and behaviors of real-world bridges onto a virtual twin,a highly realistic,interconnected digital representation of the bridge and its surroundings can be created.This virtual geographic environment provides a powerful means of comprehending and controlling the construction more precisely.This paper provides an in-depth analysis of the background and development trends of high-precision digital twinning for bridges and their environment as well as intelligent bridge construction.This paper introduces the theory of virtual geographic environments and digital twinning,and explores the use of dynamic data and simulation models to drive spatial modeling and virtual-real mapping throughout the bridge construction.The proposed approach is divided into four stages.First,a monitoring data correlation fusion model is constructed by integrating space,air,and ground monitoring technology.This step enables data perception of the physical space of the bridge construction and makes information on the bridge construction visible.Second,intelligent modeling methods are studied for the digital twinning scene of bridge construction.This step achieves a refined characterization and accurate description of the bridge construction environment using advanced modeling techniques.Third,dynamic simulation and intelligent prediction methods are established for bridge construction.This step utilizes the bridge construction digital twinning scene and combines it with multisource monitoring data to enable dynamic diagnosis,evaluation,and intelligent prediction of the states and quality of bridge construction.Fourth,the bridge data,simulation models,and modeling knowledge are integrated to establish an intelligent management mechanism for the entire bridge construction.This step enables actively controlling the construction,completing the iterative and interactive evolution,and achieving an intelligent closed-loop of“data perception-simulation analysis-intelligent prediction-optimization control”of bridge construction.To validate our methodology,a case study of a large bridge constructed in a complex,difficult mountainous area is presented.Our approach provides effective theoretical guidance and key technological support for the intelligent construction of large bridges in complex environments.