Rock mass instability stage prediction method and device based on multi-feature fusion

Abstract

The embodiment of the invention provides a rock mass instability stage prediction method and device based on multi-feature fusion, and belongs to the technical field of rock mass instability prediction. The method comprises the following steps: acquiring an acoustic emission signal of a rock mass; carrying out mixed domain feature extraction on the obtained acoustic emission signal; obtaining a prediction error according to each characteristic parameter and a preset BP neural network model; establishing a D-S evidence theory identification framework, wherein the identification framework comprises a plurality of identification sub-frameworks in one-to-one correspondence with the rock mass instability stages; constructing a basic probability distribution function of the characteristic parameters according to the prediction error, and calculating trust values of the characteristic parameters and each stage of rock mass instability; and according to the obtained trust degree value, fusingall the feature parameters under the same recognition sub-framework through a D-S evidence theory, and performing rock mass instability stage prediction based on the fused feature parameters. Accurateprediction of each stage of rock mass instability is realized, and the problem of inaccurate prediction of single characteristic parameters is effectively solved.

Description

technical field [0001] The invention relates to the technical field of rock mass instability prediction, in particular to a multi-feature fusion-based rock mass instability stage prediction method and a multi-feature fusion-based rock mass instability stage prediction device. Background technique [0002] As a heterogeneous complex geological material, rock mass has nonlinear and anisotropic mechanical properties, which makes it difficult to describe the relationship between the internal state of rock mass and its inherent mechanical properties. The above is a continuous process from primary cracks to micro-cracks, and finally to macro-cracks. When the rock mass is unstable, its external representation forms are reflected in multiple feature domains at the same time. Traditional prediction models generally only extract a single feature for prediction and analysis. A single feature cannot fully describe the internal state of rock mass instability. The description of a certai...

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Problems solved by technology

[0003] The purpose of the embodiment of the present invention is to provide a rock mass instability stage prediction method and device based on multi-feature fusion to solve the problem of inaccurate prediction of the rock mass instability stage through a single feature

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