Real-time bridge stress detection method and system

The invention discloses a real-time bridge stress detection method and system in the technical field of stress monitoring, and the method comprises the following steps: carrying out the data segmentation based on the collected real-time bridge monitoring data through employing a K-means algorithm, automatically recognizing a plurality of stress states or change modes, carrying out the data classification, and generating the monitoring data after the segmentation processing. According to the method, a K-means algorithm is adopted to carry out data segmentation and classification, a network flow analysis method is adopted to construct a force transmission path model, a gradient elevator is combined with an implicit integral equation to carry out stress concentration point prediction, a Gaussian curvature analysis method is adopted to indirectly monitor stress changes, a Reynolds average equation is adopted to simulate fluid dynamic behaviors, and a variance analysis method is adopted to dynamically adjust monit