基于数字孪生的桥梁深水基础智能安全管控研究OA
Research on Intelligent Safety Control of Deep Water Foundation of Bridges Based on Digital Twins
为实现桥梁深水基础施工过程中钢围堰结构的实时监测数据采集、安全风险智能评估与预警及应急预案的快速响应,该文开展了基于数字孪生的桥梁深水基础钢围堰智能安全管控研究.首先,利用BIM软件构建钢围堰施工全过程虚拟模型,并借助物联网设备实时采集钢围堰结构受力、位移及施工水位等数据;其次,基于Web-GL引擎将物理数据与虚拟模型的动态耦合,构建实时互联的数字孪生场景;最后,结合有限元仿真分析和施工工艺,建立结构安全评估指标体系及安全预警与处置体系,从而实现钢围堰施工全过程的智能安全管控.工程实际应用表明,该技术具有较高的可靠性与科学性,能够有效提升钢围堰监控的效率和精度,保障施工安全风险可控.
To achieve real-time monitoring data collection,intelligent evaluation and warning of safety risks,and rapid disposal of emergency plans for steel cofferdam structures during the construction process of deep water foundations of bridges.Research on intelligent safety control of steel cofferdams of deep water foundations of bridges was conducted based on digital twins.Firstly,BIM software was used to construct a virtual model of the entire construction process of the steel cofferdam,and IoT devices were used to collect real-time data on the stress,displacement,and construction water level of the steel cofferdam structure.Secondly,by using the Web-GL engine to couple physical data with virtual models,a real-time interconnected digital twin scene was built.Finally,based on finite element simulation analysis and construction technology,a structural safety assessment index system was established,as well as a safety warning and response system,achieving intelligent safety control throughout the entire process of steel cofferdam construction.The reliability and scientificity of this technology have been verified through practical engineering applications,and the research results will effectively improve the efficiency and accuracy of steel cofferdam monitoring,ensuring controllable construction safety risks.
郭峰;李婷;毛阿立
江西省萍乡市交通运输综合行政执法支队,江西 萍乡 337000||湖南省交通科学研究院有限公司,湖南 长沙 410004湖南省交通科学研究院有限公司,湖南 长沙 410004湖南省交通科学研究院有限公司,湖南 长沙 410004
交通工程
数字孪生物联网钢围堰监控安全风险应急处置智能安全管控
digital twininternet of thingssteel cofferdam monitoringsafety riskemergency responseintelligent safety control
《中外公路》 2026 (2)
246-254,9
湖南省交通运输厅科技项目(编号:2022-15)
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