基于BIM技术的无砟轨道健康监测方案应用研究
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路宏遥(1990—),男,博士研究生。研究方向为轨道结构健康监测技术。E-mail:luhongyao1@163.com

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U216.4

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国家自然科学基金资助项目(51978393)


Application Research on Health Monitoring Program for Ballastless Track Based on BIM Technology
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    摘要:

    为实现高速铁路无砟轨道养修资源的合理分配和科学管理,在线路关键位置布设智能传感器,对无砟轨道全生命周期内的服役状态关键参数实施健康监测至关重要。 针对高速铁路养护维修的实际需求,将健康监测方案与 BIM 技术进行可视化融合,实现传感器布设方案碰撞检测、作业工序优化与安装过程模拟等功能。 监测数据通过网络传输至后台数据库管理系统,与 BIM 模型进行联动,对线路病害实时预警并针对性制定科学合理维修方案。结果表明:将 BIM 技术应用于无砟轨道的智能监测工程中,可有效提高监测设备安装精度与效率,为线路“预防性”状态修提供实时数据支撑,全面提升管理水平。

    Abstract:

    In order to realize the reasonable allocation and scientific management of maintenance resources of ballastless tracks,it is very important to deploy intelligent sensors at key positions of railway lines to monitor the key parameters of service state of ballastless tracks. Combined with the actual needs of high -speed railway maintenance, health monitoring scheme and BIM technology were visually integrated. The collision detection function of sensor layout, operation process optimization and operation process simulation were realized. The monitoring data were transmitted to the background database management system through the network and linked with the BIM models. The analysis and evaluation algorithm were embedded in BIM analysis model and database to realize real-time early warning of disease and timely find out the disease problems on site. Research shows that applying BIM technology to the intelligent monitoring project of ballastless tracks can effectively improve the installation accuracy and efficiency of monitoring equipment. It provides strong support for the preventive state maintenance of the lines and comprehensively improves the maintenance management level.

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路宏遥,许玉德.基于BIM技术的无砟轨道健康监测方案应用研究[J].华东交通大学学报,2022,39(2):86-93.

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  • 在线发布日期: 2022-05-21
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