The present invention relates to the technical field of tunnel segment
data monitoring and analysis, and relates to a
data monitoring and
analysis method for a shield tunnel segment loading
test platform. The present invention captures the position coordinates of the identification points in the segment joint area and decomposes them into normal, tangential and rotational displacement components, thereby achieving real-time synchronous quantification of the joint opening,
dislocation and torsion angle. At the same time, based on the
timestamp alignment technology, the historical
test data and the real-
time sequence are integrated, and the segment joint deformation evolution trend diagram is predicted through multi-parameter
coupling. Combined with the real-
time sequence, a collaborative judgment is made to generate a segment joint area deformation
hazard index, thereby achieving dynamic and accurate prediction of the deformation trend and accurate assessment of the
hazard level. The identified maximum curvature position and curvature change rate are correlated with the segment joint area deformation
hazard index for analysis, and the
segment structure safety margin is output, triggering a multi-level early warning mechanism, thereby comprehensively evaluating the overall
structural safety status of the shield tunnel segment.