The invention discloses a bridge
underwater safety detection method based on opto-acoustic dual
modes, and relates to the technical field of
underwater engineering detection, and the method comprises the following steps: obtaining
water area particle size distribution and concentration data by using a multi-frequency acoustic suspended
sediment concentration profiler, establishing an environmental parameter
database, configuring a shipborne detection device according to the initial environmental parameter
database, and detecting the
underwater safety of a bridge according to the shipborne detection device. The method comprises the following steps: setting a three-axis stabilized platform carrying a
polarization imaging camera and a multispectral
LED array, deploying a multi-beam detection module and ADCP equipment, and establishing a unified coordinate
system; multi-angle original intensity images are collected through a polarized
optical imaging module, and multi-
exposure fusion is carried out after
processing is carried out through a
mutual information minimization algorithm. An
optical image and an acoustic
point cloud are deeply fused by adopting a graph neural network, the detection precision is improved through dynamic weight optimization of an attention mechanism and a space-time registration
algorithm, a multi-index fusion model is constructed based on
fuzzy logic and a D-S evidence theory for adaptive early warning decision, upgrading from single-parameter alarm to multi-dimensional decision is realized, and the
false alarm rate is reduced.