Research On Overload Monitoring Technology For Bridges Based On Fast DIC And Deep Learning

Combined with a deep learning-based overloaded vehicle information capture and recognition method, the captured information from bridge surface images is used to establish a mapping relationship between real-time monitoring data of mid-span deflection and spatiotemporal data of passing vehicles, realizing the collection and analysis of overloaded vehicle data during bridge operation. Experimental results show that the bridge overloading monitoring method based on fast DIC and deep learning has achieved ideal results in the bridge overloading monitoring scene, and can provide data basis for road and bridge maintenance management work, with certain engineering application value.