基于小波包-卡尔曼的大坝变形数据处理研究  

Research on Data Processing of Dam Deformation Based on Wavelet Packet-Kalman

作　　者：文俊 岳春芳[1] 吴艳 朱明远 王庆杰 WEN Jun;YUE Chunfang;WU Yan;ZHU Mingyuan;WANG Qingjie(Institute of Water Conservancy and Civil Engineering of Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Institute of Water Resources and Hydropower Research,Urumqi 830049,China)

机构地区：[1]新疆农业大学水利与土木工程学院,新疆乌鲁木齐830052 [2]新疆水利水电科学研究院,新疆乌鲁木齐830049

出　　处：《人民黄河》2022年第2期129-132,共4页Yellow River

基　　金：水利工程重点学科基金资助项目(SLXK2018-01)。

摘　　要：采用小波分析和卡尔曼滤波相结合的方法对乌鲁瓦提大坝变形数据进行处理,对比分析了小波分解与重构和小波包分解与重构后的结果,提前滤除了原始观测信号中的大部分高频噪声和粗差等,再运用小波与小波包和标准卡尔曼滤波相结合的模型对数据再次处理,结果表明该模型进一步提高了数据的可靠性和预测的精度。经工程实例分析得出:小波包进行分解与重构的数据残差小,更接近原始测值,有更高的应用价值;小波包卡尔曼组合模型对提高大坝监测数据分析的精准度优于小波和卡尔曼相结合的模型。In this paper,wavelet analysis and Kalman filtering were combined to process the deformation data of Wuluwati dam,and the results of wavelet Decomposition and reconstruction and wavelet packet decomposition and reconstruction were compared and analyzed. Most of the high-frequency noise and gross errors in the original observation signal were filtered in advance and then used the model combined with wavelet and wavelet packet and standard Kalman filter to process the data again. The results show that the model further improves the reliability and accuracy of the data. According to the analysis of engineering examples,the data residuals of wavelet packet decomposition and reconstruction are small,closer to the original measured value,and have higher application value. The wavelet packet Kalman combination model is better than the wavelet and Kalman combination model for improving the accuracy of dam monitoring data analysis.

关 键 词：大坝安全监测 小波分析 卡尔曼滤波 小波包 噪声 乌鲁瓦提水利枢纽 

分 类 号：TV698.1[水利工程—水利水电工程]