Research on Application of Computer Big Data Technology in Real-time Monitoring System of Bridge Structure Safety

Abstract

The bridge structure safety real-time monitoring system based on big data evaluates the bridge safety status and real-time warning under the comprehensive consideration of various factors that affect the service performance of the bridge. The system platform uses a distributed file system with high fault tolerance and a parallel data processing engine with high computational efficiency. It has high reliability, availability and storage efficiency, and is easy to expand. Furthermore, the multi-factor analysis method is used to fully explore the implicit correlation between the real-time data of the various sensors of the bridge, and the bridge service performance evaluation model is accurately established by analysing the data correlation, and real-time warning of the bridge safety status is given. In addition, the system platform uses a variety of model verification methods to evaluate the effectiveness of the model to ensure the reliability of the big data analysis method.