摘要
针对以往桥梁监测系统难以有效发现并判断病害的问题,利用数值分析方法进行分解重构,将去噪后的数据进行分析,判断桥梁的健康状态。首先利用VMD进行去噪,将环境、工频干扰等因素带来的噪声信号剔除后,得到可靠的加速数据,然后进行模态频率分析,通过频率的长期趋势变化,来判断桥梁是否存在潜在的病害风险,最后以某桥梁的实际监测预警处置为案例,表明该方法对桥梁监测数据的价值挖掘和病害的识别处置能够提供切实的借鉴意义。
In response to the problem of difficulty in effectively detecting and judging diseases in previous bridge monitoring systems,numerical analysis methods are used for decomposition and reconstruction,and the denoised data is analyzed to determine the health status of the bridge.First,VMD is utilized for denoising,eliminating noise signals caused by factors such as environmental and power frequency interference,thereby obtaining reliable acceleration data.Subsequently,modal frequency analysis is conducted to determine whether there are potential defects and risks in the bridge through long-term trend changes in frequency.Finally,taking the actual monitoring and early warning disposal of a certain bridge as a case study,it is demonstrated that this method can provide practical reference for value mining of bridge monitoring data and identification and disposal of defects.
作者
黄继源
HUANG Jiyuan(Anhui Rongzhi Rixin Technology Co.,Ltd,Hefei 230094,China)
出处
《建筑经济》
2025年第S2期338-340,共3页
Construction Economy
关键词
桥梁监测数据
信号清洗重构
模态分析
桥梁病害
bridge monitoring data
signal cleaning and reconstruction
modal analysis
bridge diseases
