Research on bridge health monitoring system based on cloud-edge-end architecture

With the continuous development of social economy and the continuous increase of transportation, bridges play an increasingly important role in transportation. Bridges are the basis of accelerating urbanization, and also the key to ensure safe and smooth transportation. With the increase of traffic load, the safety problems of bridge structures also appear. Due to the limitation of construction level, the understanding of structural complexity and the influence of external unpredictable environmental factors, people can not effectively understand the damage of the bridge structure and accurately evaluate the operation and maintenance of the bridge, resulting in a series of traffic accidents. In view of the above problems, this paper carried out the research of bridge health monitoring system based on "cloud edge". It takes acoustic emission (AE), capacitance, impedance, optical sensor, etc. as the basic sensing unit, and combines edge based big data processing with edge computing model as the core and centralized big data processing with cloud computing model as the center. A bridge health monitoring platform based on the cloud-edge-end architecture is designed, which can effectively process data in real time and realize cloud backup, so as to achieve real-time assessment and diagnosis of bridge operation safety without interrupting bridge traffic functions.