Abstract
The present study advances the metro structure monitoring system, which has been hindered by technological constraints limiting the comprehensive and precise collection of vital data from shield tunnels. We introduce a metro tunnel health advisory system that leverages a compressed sensory reconstruction algorithm and wavelet transform to integrate and alert the 3D model of metro tunnels. Additionally, we propose a novel wavelet packet spectrum multi-threshold noise reduction method, based on the categorization of the wavelet packet spectrum and a threshold criterion for signal noise reduction. Our findings reveal that the threshold UL enables precise determination of the structure's damage state. Moreover, the BIM-based IoT metro health monitoring system has been effectively deployed in Wuhan Metro Line 3's monitoring project, proving the technique's capability to accurately trace the full progression of structural damage. This approach offers fresh insights for designing primary content, selecting transmission schemes, analyzing early warnings, and visualizing the health monitoring system of operational tunnels.
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