The Framework of Tunnel Structure Safety Performance Perception System Based on Data Fusion

With the continuous development of transportation infrastructure building, a large number of tunnels have entered the peak period of maintenance and repair, and structural safety threats are bursting on a regular basis. However, the present level of information and intelligence of tunnel structural health monitoring is inadequate, making it difficult to detect safety performance, which has a negative impact on the tunnel’s regular operation and maintenance. According to the tunnel structure health monitoring and decision-making demands, this study presents a framework for tunnel structure safety performance perception system based on numerical-physical coupling method and data fusion. First, the tunnel structure force state perception technology and sensor error propagation law are explored, and the numerical-physical coupling test is used to examine the mutual mechanical relationship of each element of the support structure. Then, the mathematical model and data fusion platform between each monitoring quantity of multivariate data are established. Finally, the overall tunnel structure and each component’s safety performance was assessed. The structural safety performance perception system can serve as a foundation for decision making in tunnel disasters prevention and operation management, meanwhile, it is critical to enhance the degree of modernization, informatization and intelligent tunnel engineering management.