卡尔曼滤波法在城际高铁沉降变形监测与分析的应用

随着我国城市化的不断发展,城际高铁作为城市圈之间的大动脉,对加强城市间联系,方便居民出行起到了重大作用。城际高铁轨道的沉降问题,是高速铁路运行面临最普遍的问题,影响高速行驶下高铁运行的安全性和稳定性。高速铁路的沉降监测数据是一组离散时间序列,蕴含十分丰富的形变信息。为了发掘这些数据中的变形规律,需要建立沉降预测模型,进行综合分析后,采用卡尔曼滤波法对沉降进行预测分析。

Application of Calman Filter Method of Deformation Monitoring and Analysis in the Intercity High-Speed Rail Settlement

With the continuous development of city in our country , the inter city High-speed Rail as large artery between the city cir-cle, contact to strengthen inter city , residents travel played a significant role in .But the intercity High-speed Rail track settlement problems, is the most common problems of high -speed railway, high-speed driving under the influence High -speed Rail operation safety and stability .The settlement monitoring data of high speed railway is a discrete set of time series , contains very rich information of deformation.In order to explore the law of deformation in these data , need to establish a settlement prediction model , a comprehen-sive analysis, analysis of settlement prediction using Calman filtering method .