基于深度学习的钢结构体育场变形监测数据处理分析

Processing and Analysis of Steel Structure Stadium DeformationMonitoring Data Based on Deep Learning

体育场是公共基础设施的重要组成部分,其安全性至关重要。深度学习是一种强大的机器学习技术,在图像处理、特征提取及模式识别等方面应用效果显著。引入三维坐标系结构,安置无线数据监测传感器,采用精密三维坐标法监测钢结构体育场的变形情况,对收集的监测数据进行处理分析。结果表明,基于深度学习的钢结构体育场变形监测能够满足体育场结构变形监测的精度要求,为工程变形监测提供借鉴。

Stadiums are the vital part of public infrastructure and their security is vital.Deep learning is a powerful machine learning technology,which has been applied to image processing,feature extraction and pattern recognition,etc.The study introduces three-dimensional coordinate system,installs wireless data monitoring sensor,conducts precision three-dimensional coordinate method to monitor the deformation of steel structure stadium,and processes and analyzes the monitoring data.The results show that the deformation monitoring of steel structure stadium based on deep learning can meet the accuracy requirements of the deformation monitoring of stadium structure,and provide reference for engineering deformation monitoring.