2results about How to "Improve geological adaptability" patented technology

The invention relates to the technical field of image semantic segmentation, in particular to an intelligent landslide identification method based on multi-source remote sensing image fusion. Comprising the following steps: calculating a gradient matrix and a water flow convergence index based on a digital elevation model, searching and determining a physical prior interval of cohesive force and an internal friction angle based on geological lithology data, and constructing an input tensor; extracting a surface semantic feature map of the optical image by using visual perception branches through a double-branch coupling network; based on a physical prior interval, mapping branches by using physical parameters, and carrying out nonlinear mapping to obtain a limited rock-soil mechanical parameter diagram; and calling a micro infinite slope stability layer, executing forward derivable calculation based on a limit equilibrium equation, generating a slope stability coefficient field, constructing physical attention gating, executing Hadamard product operation, and generating a semantic feature tensor. Through deep coupling integration and collaborative optimization of the visual perception branch and the physical parameter mapping branch, the true effectiveness of the obtained position data is ensured.

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.