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作 者:次边 任志明 Ci Bian;Ren Zhiming(Tibet Pangduo Water Conservancy Project Administration,Lhasa850000,China;China Research Institute of Water Resources and Hydropower,Beijing100048,China)
机构地区:[1]西藏旁多水利枢纽工程管理局,西藏拉萨850000 [2]中国水利水电科学研究院,北京100048
出 处:《吉林水利》2023年第2期25-29,共5页Jilin Water Resources
摘 要:为了实现对大坝坝体GNSS原始监测数据中高斯噪声、白噪声等异常特性进行有效去噪,同时要求保留异常信号中的有效信息,基于小波变换分析理论,应用非线性小波变换阈值法对大坝坝体的GNSS原始监测数据进行去噪处理。结果表明,该方法能够有效剔除GNSS原始监测数据中不同类型的噪声点,明确了大坝坝体外部变形与库水位的相关性关系,分析了运行期内大坝坝体外部变形相对值分布状况,揭示了大坝坝体变形的周期性、趋势性等特征,为坝体变形监测的设计、变形趋势的观测与预测等提供参考。In order to effectively denoise the abnormal characteristics such as Gaussian noise and white noise in the original GNSS monitoring data of the dam,and to retain the effective information in the abnormal signal,based on the wavelet transform analysis theory,the nonlinear wavelet transform threshold method is applied to denoise the original GNSS monitoring data of the dam.The results show that this method can effectively eliminate different types of noise points in the original monitoring data of GNSS,define the correlation between the external deformation of the dam body and the reservoir water level,analyze the relative value distribution of the external deformation of the dam body during the operation period,and reveal the characteristics of the periodic and tendency of the dam body deformation.It provides reference for the design of dam deformation monitoring and the observation and prediction of deformation trend.
关 键 词:非线性小波变换阈值法 水利工程 GNSS技术 外部变形监测
分 类 号:TV698.1[水利工程—水利水电工程]
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