Research on Multi-sensor Information Fusion Algorithm with Sensor Fault Diagnosis

Abstract

With the rapid development of city construction, the health of bridge whether on land or water has a direct impact on the local transportation, economic and social life, a long-term monitoring on the bridge structure is particularly important. In this paper, in view of the structure of a bridge in Wuhan, and the monitoring system requirements, the technology based on Kalman filter of multi-sensor information fusion was used to analyze the data of bridge structure and timely know the safety of bridge structure. In consideration of the possible sensor fault in the monitoring process, the sensor fault detection method based on correlation information entropy is used to monitor the status of the sensor. The monitoring system which use the multi sensor information fusion algorithm with sensor fault diagnosis realizes the data collection, analysis and storage, due to the sensor fault diagnosis, the data can be reliable and accurate, so as to provide a scientific basis for the evaluation of the safety factor of the bridge structure and the maintenance of the bridge.