Study On GPS High Accuracy Deformation Monitoring Data Processing And Analysis Method

Deformation monitoring is developing toward high accuracy and automation, and puts forward higher request to deformation data processing and analysis. In order to obtain deformation values of high accuracy, besides improving the precision of the monitoring instruments themselves, it is necessary to seek the better monitoring data post-processing methods, and filter errors of the data after processing to improve the accuracy ulteriorly, to meet the high accuracy request of deformation monitoring. Though the monitoring automation provides safeguard for long time series data, run up against a lot of new problems of complexity in data processing and analysis, such as time series data of unequally interval, non-linear deformation, complex periodic deformation, weak deformation on highly noised background etc. For this reason, need to process the data using the high accuracy baseline solution and network adjustment software, then using a stabilization and efficiency data analysis method to process and analysis the continuity and real-time data.This dissertation's key contents are to study the new theory and new method of data processing and analysis in precise engineering deformation monitoring. Through the study of deformation monitoring data processing and analysis method exisiting, then sum up the deformation monitoring data processing and deformation data anlysis method systematically. On the basis of this, combining the practical problem met in Shifosi ultra-long dam automation monitoring system, this paper has completed the following work:1.This paper mainly studys the use of GAMIT/GLOBK, combining the project, sums up the high accuracy data processing method and notice proceeding in high latitude region, and gives the correction parameters which need to consider during the processing in high latitude region.2.1n order to realize the three-dimension monitoring integration, this paper has done the test research of using GPS geodetic elevation to replace leveling elevation. The test model and test project are established. In the end, we have checked the validity and demonstrated the consistencyof the conclusion theoretically combining the Shifosi dam region's example.3.Carried on the high accuracy data processing to the Shifosi ultra-long dam automation deformation monitoring datum network observation data. Separately on mointoring network layout, data processing project design, datum point stability checking and high accuracy GPS monitoring datum network data processing etc. aspects has made a more detailed studying.4.1t is one of the key technological questions that how to reduce measuring noises and improve mointoring precision effectively in automatic deformation monitoring system. Combining the Kalman filtering method, the mathematic model of Kalman filtering used for GPS monitoring deformation system is given, and how to determine the initial value of filtering is discussed in detail. Combining the practical example of Shifosi ultra-long dam automation monitoring system, a program which made by MATLAB realizes automation long time series deformation data recursive Kalman filtering processing, the result indicated that recursive Kalman filtering has weakened the observation error, and improved the monitoring accuracy and system's reliability.