Condition Evaluation Of Continuous Rigid Frame Bridge Based On Multi Source Data Fusion

The development of bridges in China is very rapid,bridges are becoming more and more important,and reliable monitoring and detection Bridges become more important.Detection and monitoring have their own advantages,but also have limitations.In this paper,the multi-source data fusion theory is tried to fuse the monitoring data with the detection data to provide guidance for the operation of the bridge.Taking BAIJIANHE Bridge as the engineering background,the finite element modeling analysis is carried out,and the data of the modeling analysis and the data extracted from the bridge health monitoring system are compared one by one,and the state of BAIJIANHE Bridge is evaluated by the comparison results.This paper introduces the intelligent health monitoring system of BAIJIANHE Bridge,provides important data of the follow-up study.An improved damage identification method is proposed to improve the accuracy of the inspection process.Let’s start with the Bayesian model,an improved state evaluation model is proposed,and the preliminary attempt is made to fuse the monitoring and testing data,which can help the staff to predict the development trend of the bridge state.Based on the analytic hierarchy architecture,a continuous rigid frame bridge multi-source data fusion system is proposed,and a distributed information fusion architecture is designed.According to the particularity of continuous rigid frame bridge,the evaluation index system of continuous rigid frame bridge’s health state was established by selecting the evaluation indexes and stratifying them according to the structural characteristics.At present,multi-source fusion theory is mostly applied in traffic planning and finance,but rarely applied in bridge state evaluation.Therefore,multi-source big data fusion for continuous rigid frame bridge can provide research direction for bridge monitoring and inspection data fusion in the future.In this paper,the multi-source big data fusion system of continuous rigid frame bridge is established by integrating the data provided by manual maintenance testing and the data extracted from the bridge health monitoring system,and the state evaluation standard model for design of continuous rigid frame bridge based on hierarchical decomposition,which includes the characteristics of distribution and distribution.Based on the data level fusion method,a large amount of unprocessed monitoring data stored in the bridge health monitoring system is processed to reduce the impact of missing data and noise data.The evaluation index in the bridge multi-source data fusion model comes from the detection data in the manual maintenance system of rigid frame bridge and the monitoring data in the bridge health monitoring system.Meanwhile,according to the characteristics of the data,the evaluation index standard of rigid frame bridge is proposed.Based on this,the health state evaluation index of continuous rigid frame bridge is established in this paper.