A dynamic permeability
zoning method for water-rich tunnels based on multi-
source data includes the following steps: acquiring
permeability coefficient, rock
compressive strength, integrity coefficient, RQD, and P-
wave velocity data of the tunnel excavation area; constructing a multi-source
feature matrix through spatiotemporal alignment and
standardization; dynamically calculating the weights of each indicator based on the
entropy weight method, and adaptively adjusting the parameter contribution based on geological type; generating standard cloud parameters using a cloud model, calculating the membership degree of real-
time data to each permeability level through a forward cloud generator, and comprehensively determining the final grading result; mapping the grading result to a 3D BIM model to generate a dynamic permeability cloud map and triggering a real-time early warning mechanism. This invention overcomes the static nature and experience dependence of traditional grading methods through multi-
source data fusion and dynamic weight allocation, significantly improving the accuracy of permeability assessment in complex strata; the cloud model quantifies the
ambiguity of grade boundaries, avoiding the risk of misjudgment in critical intervals; the
deep integration of advanced geological forecast data enables
spatial prediction of permeability in unexcavated areas; combined with minute-level early warning and intelligent recommendation of grouting parameters, it effectively reduces the probability of sudden water inrush accidents, providing an intelligent solution for safe construction and resource optimization of water-rich tunnels.