水力发电2024，Vol.50Issue(1)：98-102,5.
谷幅变形全天时自动化监测的精密气象改正方法
Precise Meteorological Correction for All-day Automatic Monitoring of Valley Deformation
周绿 1张凯 1刘书明 1杨泽发 2肖亚子1
作者信息
- 1. 中国电建集团中南勘测设计研究院有限公司, 湖南 长沙 410014
- 2. 中南大学地球科学与信息物理学院, 湖南 长沙 410083
- 折叠
摘要
Abstract
Valley deformation monitoring plays an important role in ensuring the safety of major infrastructure such as water storage power station.However the traditional monitoring methods mostly choose the observation when the meteorological conditions on both sides of the valley are relatively stable and consistent which greatly restricts the implementation of automatic all-day monitoring of valley deformation.Therefore this paper introduces the measurement adjustment theory to study the meteorological error correction method of automatic monitoring of valley amplitude deformation in the whole day.Firstly the meteorological error of photoelectric ranging is corrected by the traditional meteorological preliminary correction model.Secondly a nonparametric regression adaptive model of all-day trend error of preliminary meteorological correction data is constructed using Fourier series fitting to reduce trend error.Thirdly a combination of robust Kalman filter and weighted least square is proposed to realize further processing of ranging data so as to obtain automatic monitoring data of all-day valley amplitude deformation.Finally the proposed method is used in Jinping I Hydropower Station as a test.The experimental results show that the accuracy of automatic valley deformation estimated by the proposed method can reach 0.9 mm which can basically meet the accuracy requirements of valley deformation monitoring.关键词
谷幅变形/气象改正/非参数误差趋势估计/卡尔曼滤波/加权最小二乘算法Key words
valley deformation/meteorological correction/nonparametric error trend estimation/Kalman filter/weighted least squares分类
建筑与水利引用本文复制引用
周绿,张凯,刘书明,杨泽发,肖亚子..谷幅变形全天时自动化监测的精密气象改正方法[J].水力发电,2024,50(1):98-102,5.
