The invention relates to the technical field of
geological disaster monitoring and early warning, in particular to a side slope slippage monitoring and early warning method based on an image recognition technology, which comprises the following steps: arranging a monitoring target and a reference target in a to-be-monitored area of a side slope, arranging two image displacement monitoring devices at opposite stable positions at equal height to acquire two-dimensional displacement data of the targets; after error correction, an
equipment monitoring coordinate
system included angle is calculated based on parameters such as equipment spacing, slope inclination displacement is calculated through vector synthesis, and three-dimensional slippage deformation is calculated in combination with
vertical displacement; meanwhile, a multi-level early warning
mechanism based on the
slip rate and the accumulated slip amount is established, a
Delaunay triangulation network is constructed, and an improved adaptive
Kriging interpolation
algorithm is adopted to realize deformation
trend prediction. According to the method,
binocular vision and multi-
algorithm fusion are utilized to realize high-precision three-dimensional monitoring, the evaluation accuracy is improved through the dynamic weighting model and intelligent early warning, the method has the advantages of high monitoring precision, timely early warning, high adaptability and the like, and the safety of slope
engineering can be effectively guaranteed.