| GNSS自动化监测系统的大坝变形预测方法研究 |
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| 引用本文： | 黄凯,陈渠森,鞠博晓.GNSS自动化监测系统的大坝变形预测方法研究[J].测绘通报,2018,0(1):147-150. |
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| 作者姓名： | 黄凯 陈渠森 鞠博晓 |
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| 作者单位： | 1. 武汉大学卫星导航定位技术研究中心, 湖北 武汉 430079;
2. 武汉大学测绘学院, 湖北 武汉 430079 |
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| 基金项目： | 国家杰出青年科学基金项目 |
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| 摘 要： | 以GNSS自动化监测系统的大坝变形预测方法为主要研究目的，针对大坝GNSS自动化监测数据大样本、高采样率、连续等特点，提出了一种结合小波分析与BP、NAR神经网络预测大坝变形的新方法。利用多尺度小波分析对GNSS大坝变形数据序列进行分解与重构，对重构后的低频近似序列采用BP神经网络进行建模预测，对重构后的高频细节序列采取NAR动态神经网络进行建模预测，最后叠加各尺度下预测结果获得大坝变形预测值。应用结果表明，该方法预测精度高、泛化性能好，可广泛应用于采用GNSS自动化监测系统的大坝变形预测。
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| 关 键 词： | GNSS自动化监测系统 小波分析 BP神经网络 NAR神经网络 大坝变形预测 |
| 收稿时间： | 2017-05-05 |
Study on Prediction Method of Dam Deformation for GNSS Automatic Monitoring System |
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| HUANG Kai,CHEN Qusen,JU Boxiao.Study on Prediction Method of Dam Deformation for GNSS Automatic Monitoring System[J].Bulletin of Surveying and Mapping,2018,0(1):147-150. |
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| Authors: | HUANG Kai CHEN Qusen JU Boxiao |
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| Institution: | 1. GNSS Research Center of Wuhan University, Wuhan 430079, China;
2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China |
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| Abstract: | This paper aims to study on prediction method of dam deformation for GNSS automatic monitoring system.According to the GNSS deformation monitoring data's characteristics of large sample,high sampling rate and continuous,a new method combining wavelet analysis with BP and NAR Neural network to predict dam deformation is presented.Firstly, we use multi-scale wavelet analysis to decompose and reconstruct the deformation monitoring data sequences.Then,the BP neural network is used to forecast the low frequency approximation sequences,and the NAR neural network is used to forecast the high frequency detail sequences.Finally,the forecasting results of each scale are accumulated to get the prediction results of dam deformation.The application shows that the proposed dam deformation forecasting model in this paper has high predictive accuracy and great generalization performance,which can be widely used in dam deformation prediction for GNSS automatic monitoring system. |
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| Keywords: | GNSS automatic monitoring system wavelet analysis BP neural network NAR neural network dam deformation prediction |
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