The present application belongs to the technical field of
geotechnical engineering, and specifically relates to a tunnel underpassing
a site adverse geological early warning method and
system. A multi-source detection network is arranged in a set region of
tunnel construction,
original data reflecting geological abnormal conditions are obtained and preprocessed, a multi-dimensional feature index set including
wave speed,
dielectric constant, rock
mass integrity coefficient, etc. is obtained, a three-dimensional perspective model containing
spatial distribution and physical properties of adverse geological bodies is generated through a data fusion
algorithm, and a geological anomaly grade G is determined accordingly. The structure
vulnerability grade V of a target historical site is obtained, and a disturbance
influence coefficient S of the site by current construction operation is calculated based on construction parameters. The geological anomaly grade G, the site
vulnerability grade V and the construction
influence coefficient S are input into a preset risk
coupling evaluation model, a comprehensive risk value R is dynamically calculated, and corresponding graded early warning is triggered according to the threshold interval of the R value.