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基于AI的桥梁自动布跨及三维可视化技术研究

Research on AI-Based Bridge Automatic Span Arrangement and 3D Visualization Technology
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摘要 在铁路桥梁布跨设计过程中,存在工作量大、自动化水平不高、方案展示不直观等问题。为优化桥梁方案设计、提高桥梁布跨设计效率,提出一种基于AI的桥梁自动布跨及三维可视化方法。针对桥梁人工布跨效率低的问题,引入强化学习的人工智能算法,根据桥梁布跨原则,自动计算桥墩位置,优化桥梁设计方案,提高桥梁布跨效率;针对方案展示不直观的问题,基于Cesium平台,构建三维地理环境场景,读取线路数据,定制桥梁参数模板,创建和展示桥梁方案模型。基于上述方法,开发了桥梁自动布跨及三维可视化软件,实现了AI自动布跨及真实环境场景下的桥梁方案展示。在某城际铁路中,应用桥梁自动布跨和三维可视化技术进行桥梁设计方案的比选和优化,为设计决策提供技术依据,证明该方法在实际工程项目中具备可行性和实用性,有助于减少人力资源的浪费,提高设计效率。 In the process of railway bridge span design,there are challenges such as high workload,low level of automation,and lack of intuitive presentation of design solutions.To optimize bridge design and improve the efficiency of bridge span arrangement,this paper proposes an AI-based bridge automatic span arrangement and 3D visualization method.Addressing the issue of low efficiency in manual bridge span arrangement,a reinforcement learning AI algorithm is introduced to automatically calculate the positions of bridge piers based on bridge span principles.This optimization process enhances the efficiency of bridge span arrangement.To address the problem of non-intuitive presentation of design solutions,a 3D geographical environment is built on the Cesium platform.Line data is imported,and bridge parameter templates are customized to create and display bridge models effectively.Based on the above methods,a software application for bridge automatic span arrangement and 3D visualization is developed,enabling AI-driven automatic span arrangement and realistic environmental display of bridge models.Applied to a city's intercity railway project,the bridge automatic span arrangement and 3D visualization technology are utilized for comparing and optimizing bridge design solutions,providing valuable technical insights for design decision-making.The application demonstrates the feasibility and practicality of this approach in real engineering projects,contributing to the reduction of manpower resources and enhancement of design efficiency.
作者 杨璟林 周清华 宋浩 韩广晖 李纯 YANG Jinglin;ZHOU Qinghua;SONG Hao;HAN Guanghui;LI Chun(China Railway Engineering Design and Consulting Group Co.,Ltd.,Beijing 100055,China)
出处 《铁道标准设计》 北大核心 2023年第10期127-133,共7页 Railway Standard Design
基金 中铁工程设计咨询集团有限公司科技开发课题(研2023-数字-3)。
关键词 铁路桥梁 桥梁布跨 三维建模 人工智能 WEBGL railway bridge bridge span arrangement 3D modeling artificial intelligence WebGL
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