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基于Cesium的边坡可视化监测平台研究

Research on Slope Visualization Monitoring Platform Based on Cesium

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【作者】 田宇飞苏谦孙凯强徐凯陈俊杰刘惊灏

【Author】 TIAN Yufei;SU Qian;SUN Kaiqiang;XU Kai;CHEN Junjie;LIU Jinghao;School of Civil Engineering, Southwest Jiaotong University;Key Laboratory of High-speed Railway Engineering of Ministry of Education;China Railway Siyuan Survey and Design Group Co., Ltd.;

【机构】 西南交通大学土木工程学院高速铁路线路工程教育部重点实验室中铁第四勘察设计院集团有限公司

【摘要】 针对目前边坡监测信息管理系统灵活性差、可视化程度低的问题,运用BIM软件搭建参数化传感器模型,利用倾斜摄影技术采集边坡地物影像数据进行三维边坡模型重构,基于Cesium.js框架搭建边坡可视化监测Web平台,融合了监测数据、传感器模型及边坡三维模型。结合某工程实例,验证监测Web平台实现边坡监测项目的可视化、监测数据的分析预警及动态统计查询的功能,可为相关边坡监测项目可视化技术应用提供参考。

【Abstract】 In response to the problems of poor flexibility and low visualization of the current monitoring information management system, BIM software has been utilized to build a slope parametric sensor model;oblique photography technology has been applied as well to collect images of slope features to reconstruct 3D slope model, Based on the Cesium.js framework, a Web platform for slope visualization and monitoring has been established, which integrates monitoring data, sensor model and slope 3D model. Combined with a engineering example, it is verified that the established monitoring Web platform can realize the functions of visualization of slope monitoring projects, analysis and warning of monitoring data and dynamic statistical query, which can provide reference for the application of visualization technology in related slope monitoring projects.

  • 【文献出处】 路基工程 ,Subgrade Engineering , 编辑部邮箱 ,2022年06期
  • 【分类号】U416.14
  • 【下载频次】31
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