摘要
从小波分解技术的强大的去噪功能出发,提出了基于小波技术的监测数据前处理方法。结合润扬长江公路大桥南锚碇排桩冻结法深基坑的变形监测数据,利用小波分解与重构手段,对变形监测数据进行消噪滤波处理,结果表明,小波分解技术去噪合理有效,可以有效地从误差干扰的变形监测数据中提取数据所反应的原始特征,同时,也不需要监测数据的先验知识,为监测数据的误差消除的一种有效方法,具有一定的理论价值和应用价值。
Wavelet decomposition technology has powerful removing noise function,and the preoperative methods based on the wavelet technology is applied for the monitoring data. Using the deformation monitoring data of frozen row piles methods deep excavation of the RunYang Yangtse Bridge＇ s south anchor is an example, and makes use of the wavelet decomposition and the reconstruction method, and carries on the deformation monitoring data by removing noise and filtering. The result is indicated , the wavelet decomposition technology is effective, and can get primitive characteristic from the disturbed data, simultaneously, also does not need previous knowledge of the monitoring data, the wavelet decomposition technology＇s a kind of effective method for eliminating the error of the monitoring data, and it has the certain theory value and the application value.
出处
《江苏建筑》
2007年第3期50-53,共4页
Jiangsu Construction
基金
江苏省交通科学研究项目(01y006)资助
关键词
小波技术
去噪
润扬大桥
深基坑
监测数据
wavelet technology
removing noise
Run - yang bridge
deep excavation
monitoring data
