Nonlinear Deformation Prediction Method of Roadway Based on Fiber Bragg Grating Sensor Network Data

Abstract

The invention relates to a roadway nonlinear deformation prediction method based on fiber bragg grating sensing network data and belongs to roadway surrounding rock nonlinear deformation prediction methods. The method comprises the steps that 1, roadway surrounding rock deformation data is collected based on a fiber bragg grating sensing network; 2, a time sequence of monitoring data of a roadway surrounding rock deformation fiber bragg grating sensor is analyzed and preprocessed; 3, a kernel function and a loss function of a support vector machine are selected, and main parameters of the support vector machine are determined; 4, a kernel function matrix is constructed, and an optimal parameter combination value of the support vector machine is obtained through solving; and 5, a nonlinear support vector machine regression prediction model is established, and roadway surrounding rock nonlinear deformation prediction is realized. According to the method, the fiber bragg grating sensing technology and the support vector machine prediction method are adopted to predict the later-period evolution law and development tendency of a deformed surrounding rock mass, roadway surrounding rock safety monitoring, safety production and construction and stability are guaranteed, and a research direction is provided for intellectualized and informationalized development of mining engineering.

Description

technical field [0001] The invention relates to a method for predicting the nonlinear deformation of the surrounding rock of a roadway, in particular to a method for predicting the nonlinear deformation of the surrounding rock of the roadway based on the data of an optical fiber grating sensor network. Background technique [0002] In the process of coal mine production, the roadway and the roof of the working face are in an unstable state due to coal mining. As the depth of coal mining continues to increase, the pressure of the mine on the mine is particularly obvious. The mine roadway has a complex environmental system, and its internal deformation It is very hidden, the initial state is difficult to figure out, and the deformation and failure phenomena under the action of mining engineering are ever-changing. The particularity of the method and the limitations of the numerical method make the calculation results unsatisfactory. Therefore, the accurate prediction of the no...

AI Technical Summary

Problems solved by technology

[0006] Technical problem: The purpose of this invention is to meet the needs of automation and intelligent safety monitoring in coal mines, solve the problem of nonlinear deformation behavior and safety monitoring of roadway surrounding rock in the production process of mining engineering, and provide a roadway based on fiber grating sensor network data Surrounding Rock Nonlinear Deformation Prediction Method

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