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基于Cesium的地下结构可视化平台构建方法

刘璇 纪溢凡 包佳玮 纪云浩 申志福

科技创新与应用2024,Vol.14Issue(7):51-54,4.
科技创新与应用2024,Vol.14Issue(7):51-54,4.DOI:10.19981/j.CN23-1581/G3.2024.07.012

基于Cesium的地下结构可视化平台构建方法

刘璇 1纪溢凡 1包佳玮 1纪云浩 1申志福1

作者信息

  • 1. 南京工业大学,南京 211816
  • 折叠

摘要

Abstract

In order to reflect the information of underground structure more directly and give full play to the value of health monitoring data of engineering structure,a three-dimensional(3D)visualization platform of underground space structure is constructed using open source Cesium 3D visualization engine.Through real-time access and processing of monitoring data collected by sensors,the three-dimensional display of strain,settlement and inclination of tunnel structure is realized,and a structural state prediction model based on cyclic neural network is developed.The results show that the developed visualization platform can reflect the information of underground engineering structure more directly,and the model achieves satisfactory prediction accuracy.

关键词

Cesium平台/工程可视化/地下工程/数据预测/预测模型

Key words

Cesium platform/engineering visualization/underground engineering/data prediction/prediction model

分类

信息技术与安全科学

引用本文复制引用

刘璇,纪溢凡,包佳玮,纪云浩,申志福..基于Cesium的地下结构可视化平台构建方法[J].科技创新与应用,2024,14(7):51-54,4.

基金项目

南京工业大学大学生创新创业基金省级重点项目(202210291038Z) (202210291038Z)

科技创新与应用

2095-2945

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