The invention belongs to the technical field of
tunnel construction geological disaster prevention and control, and discloses a multi-
source data fused refined treatment decision-making method for a complex stratum disaster source, which comprises the following steps: collecting and fusing multi-source geological data, and constructing a three-dimensional geological model; generating a disaster source risk
dynamic assessment and treatment scheme; based on a fluid-
solid coupling similarity theory, verifying the preliminary treatment scheme by adopting a
physical model test, and determining an
optimal treatment scheme; the
optimal treatment scheme is executed, and the treatment process is dynamically regulated and controlled;
after treatment, the
treatment effect is evaluated through posterior data, and the effect data is fed back to the three-dimensional geologic model and the
knowledge base, so that the dynamic updating of the model and the self-learning of the decision-making
system are realized. By the adoption of the treatment decision method, the problems that a traditional method depends on experience, information is one-sided, and treatment is extensive are solved, advanced accurate forecasting and refined and
personalized treatment of complex stratum disaster sources are achieved, and the safety and efficiency of
tunnel construction are remarkably improved.