大坝监测数据缺失插补与奇异值修正处理

大坝长效运行过程中，由于仪器故障或设备改造等问题，会引发监测数据失真或缺失等问题，容易造成结构安全性态误判。采用时空相关性原理对缺失的监测数据进行插补，利用格拉布斯?小波去噪组合方法对奇异值进行识别与处理，求得坝体的重构监测数据，并对奇异值进行修正。实例验证证明，该方法可以有效插补缺失变形监测数据，并对奇异值进行修正，从而使得监测数据结果愈加科学合理。 

Missing interpolation and singular value correction of dam monitoring data

During the long-term operation of the dam, due to problems such as instrument failure or equipment transformation, the monitoring data will be distorted or missing, which is easy to cause misjudgment of structural safety. In this paper, the missing monitoring data are interpolated by using the principle of spatio-temporal correlation, and the singular value is identified and processed by the combination method of grabus wavelet denoising, then the reconstructed monitoring data of the dam body is obtained and the singular value is corrected. The example proves that this method can effectively interpolate the missing deformation monitoring data and correct the singular value, so as to make the monitoring data results more scientific and reasonable.