Construction Of Cloud Assessment Information Platform For Operation Of High-speed Railway Deformation Monitoring Based On Kalman Filter Combination Prediction Model

How to use cloud computing resources and information technology to achieve efficient evaluation and management of high-speed deformation monitoring data,early warning analysis of abnormal changes,and early warning information push is one of the key concerns of the current high-speed railway deformation monitoring data evaluation department.The existing operational high-speed railway deformation monitoring data management and evaluation models mainly include data localized centralized management,data localized storage,and sharing.This model has the shortcomings of poor data collation and standardization and poor data management efficiency,and cannot realize real-time online early warning analysis of deformation monitoring data of high-speed railways in operation.In view of the above problems,the main research work of this paper is as follows:1.Analyzed the information requirements in the actual evaluation and management process of operating high-speed railway deformation monitoring data,integrated cloud computing resources,and explained the overall platform design plan,database design plan,data encryption design plan,and platform function design plan.And based on the B/S architecture to build the "Operation High-speed Rail Deformation Monitoring Data Cloud Evaluation Platform".Use cloud computing resources to develop functions such as visual display of monitoring data,data encryption,project information management,and early warning information push.2.In order to meet the demand for online analysis of deformation monitoring data for high-speed railways,the related construction theory of Kalman filter combination forecasting algorithm is studied,and Kalman filter forecasting cloud analysis algorithm is realized through programming.3.Put the "Operation of High-speed Railway Deformation Monitoring Data Cloud Evaluation Platform" into my own "Southwest Jiaotong University Operate High-speed Railway Precision Engineering Measurement Consulting Evaluation Center" for use,and use the cloud-based Kalman filter combination prediction algorithm to operate high-speed railway deformation Monitor data for predictive analysis.4.The actual operation effect of "Operating High-speed Railway Deformation Monitoring Data Cloud Evaluation Platform" shows that it can effectively eliminate the disadvantages of localized data evaluation and management,and meet the informatization needs of data evaluation departments for data management,data storage,and real-time early warning and push.At the same time,the Kalman filter combination forecast cloud analysis model also provides an effective reference for online early warning analysis of operational high-speed railway deformation monitoring data.