For the computers, sensors, database technology has developed at a high level. Bridge monitoring means are becoming increasingly diverse. In recent years,more and more large bridges are constructed in China.in order to make them at a normal status, Bridge monitoring system has been successively established.For real understanding of the key parts of the bridge construction phase in the stress state,many kind of Sensor is used Frequently.But the date not be able to get timely treatment. The big reason is that the bridge monitoring data processing has lagged behind theoretical studies. It also became the bridge data for monitoring system performance constraints to further improve the bottleneck.This article relies on the Xu Shui Gou Bridge Engineering, Exclude the abnormal data and smooth monitoring curve by statistics method. Solutions are given about dynamic and static data. Proposed bridge monitoring based on time series data processing method, and based on monitoring data for time series decomposition analysis of monitoring data. Data mining techniques of cluster analysis and principal component analysis to explore the massive monitoring data processing technology. At the same time to simplify the monitoring data. Finally, according to the actual needs of the project, has developed a software to meet the construction, load testing and operational phase of the offline... |