Roadway nonlinear deformation prediction method based on fiber bragg grating sensing 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 a roadway based on optical fiber grating sensing network data. Background technique [0002] In the production process of coal mines, the roadway and working face roof are in an unstable state due to coal mining. With the continuous increase of coal mining depth, the pressure on the mine is particularly obvious. The mine roadway has a complex environmental system and its internal deformation It is very concealed, and the initial state is difficult to figure out. The deformation and failure phenomena under the action of mining engineering are even more varied. In the process of applying traditional theories and numerical simulation research methods to analyze and predict the deformation behavior of the surrounding rock of the roadway, due to the surroundin...

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 mon

Images