物联网环境下桥梁工程过渡段软基路基沉降监测研究  

Study on Settlement Monitoring of Soft Foundation Subgrade in Transition Section of Bridge Engineering under Internet of Things Environment

作　　者：曹辉辉[1] CAO Hui-hui(The 1st Engineering Co.Ltd.of China Railway 18th Bureau Group,Zhuozhou,Hebei 072750,China)

机构地区：[1]中铁十八局集团第一工程有限公司,河北涿州072750

出　　处：《广东水利电力职业技术学院学报》2023年第4期13-15,53,共4页Journal of Guangdong Polytechnic of Water Resources and Electric Engineering

摘　　要：针对当前软基路基沉降监测方法因去除噪声数据不完全而影响沉降规律监测精度问题,从物联网监测设备、监测终端和监控中心等方面着手,通过GPRS通讯设备对桥梁工程过渡段软基路基进行监测,并开展监测设备的监测过程研究。针对噪声数据采用嵌入式小波神经网络模型对监测数据阈值进行计算分析,从而得到有效数据。分别使用传统监测方法和设计的沉降监测方法在三个软基路段进行测试,结果表明,设计的监测方法得到的观测曲线经过数据降噪后趋于平滑,更符合实情。Addressing the issue of accuracy in monitoring the settlement patterns of soft subgrade due to the incomplete removal of noise data in current monitoring methods,measures are taken from various aspects such as Internet of Things monitoring devices,monitoring terminals,and monitoring centers.The soft subgrade of the transition section of bridge engineering is monitored with GPRS communication devices,and the monitoring process of monitoring devices are surveyed.For noise data,an embedded wavelet neural network model is used to calculate and analyze the threshold of monitoring data,thereby obtaining valid data.The traditional monitoring method and the designed settlement monitoring method are tested on three soft subgrades respectively.The results show that the observation curve obtained by the designed monitoring method tends to be smooth after data denoising,which is more in line with reality.

关 键 词：物联网环境 桥梁工程 过渡软基 路基沉降监测 

分 类 号：U216.3[交通运输工程—道路与铁道工程]