The invention belongs to the field of intelligent supervision, and discloses an intelligent
engineering supervision method and
system based on
artificial intelligence, and the method comprises the steps: extracting three-dimensional
field frequency features based on a multi-
modal data
package and a
coordinate mapping table, carrying out the fusion through combining with a multi-
modal graph neural network, and generating multi-
modal fusion features; a VR complex is constructed based on the multi-modal fusion features and the
coordinate mapping table, and a three-dimensional topological
feature matrix is generated through continuous
homology analysis; constructing a defect detection model, and obtaining defect positioning coordinates and
engineering structure risk scores according to the generated three-dimensional topological
feature matrix in combination with the multi-modal fusion features and the
coordinate mapping table; and dynamically adjusting construction parameters according to the
engineering structure risk
score, and generating an engineering supervision report. According to the method, the VR complex is constructed by reducing the sampling
point cloud, and the continuous
homology analysis is performed, so that the topological invariant quantitative evaluation of the engineering structure microdefects is realized, and the supervision process has stronger real-
time response capability.