A research of massive data processing and correlation analysis

The aim of the bridge health monitoring system reveals that the potential safety problems promptly. Because of huge number of sensors and high-frequency data acquisition in the long-term health monitoring systems, mass raw data are produced. Therefore, data analysis, the results of its analysis of the effectiveness and efficiency of the entire data processing performance play a key role. From the monitoring data, it should be able to accurately and effectively identify unusual data, capture any possible clues resulted to the disease of bridges. At the same time, reliability analysis of abnormal data, the initial judgment about the causes of abnormal values would help make corresponding measurement according to the reasons. Itpsilas obviously to make a reasonable evaluation platform and lay a solid foundation for the further expert evaluation system for the health status of the bridge. As a result, itpsilas naturally to get an accurate judgment of the bridge current status to provide a reliable basis.