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奇异谱分析在GNSS变形监测数据处理中的应用

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为了更好地对桥梁的变形状态进行监测,评价桥梁运营的稳定性,本文将GNSS(Global Navigation Satellite System)用于桥梁变形监测中,并使用奇异谱分析(Singular Spectrum Analysis,SSA)对GNSS监测数据进行处理.研究了实现SSA的关键参数嵌入维数及有效主分量的确定方法.经SSA后提取得到变形监测数据中的趋势项成分与周期项成分,剔除了噪声项,对结果分析得出:桥梁在3个方向上都会产生周期性变形,变形幅度不一样但是周期及变形极值点都一致,并且只在一定范围内变化,理解为受日照、荷载影响产生的变形,这种可恢复性变形也表明桥梁的运营状态良好.
Application of Singular Spectrum Analysis in GNSS Deformation Monitoring Data Processing
In order to better monitor the deformation state of the bridge and evaluate the stability of bridge operation, GNSS (Global Navigation Satellite System) is used in bridge deformation monitoring, and singular spectrum analysis (SSA) is used to process the GNSS monitoring data. The determination method of embedding dimension and effective principal component of key parameters to real-ize SSA is studied. After SSA, the trend term and periodic term components in the deformation monitoring data are extracted, and the noise term is eliminated. The analysis of the results shows that the bridge will produce periodic deformation in three directions, and the deformation amplitude is different, but the period and deformation extreme points are consistent, and only change within a certain range. It is understood as the deformation caused by sunshine and load. This recoverable deformation also indicates that the bridge is in good operation condition.

singular spectrum analysisdeformation monitoringGNSSbridge

刘日辛

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浙江省测绘科学技术研究院,浙江杭州 311100

奇异谱分析 变形监测 GNSS 桥梁

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(4)
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