工矿自动化2025，Vol.51Issue(2)：9-18,26,11.DOI:10.13272/j.issn.1671-251x.2024120069
基于智能护帮装置的煤壁变形监测和集中载荷反演技术
Coal wall deformation monitoring and concentrated load inversion technology based on intelligent support devices
摘要
Abstract
Coal wall spalling is a major factor restricting the safe and efficient development of coal mining.Accurate monitoring of coal wall support conditions is essential to improving wall stability and ensuring safe mining.To address the issue of low precision,limited range,and poor real-time performance in traditional coal wall deformation monitoring technologies,an intelligent support device based on Fiber Bragg Grating(FBG)was developed.The FBG was innovatively embedded into the hydraulic support shield plate,and a concentrated load inversion model for the coal wall based on Particle Swarm Optimization(PSO)-Radial Basis Function(RBF)neural networks was established to monitor the support conditions of the coal wall.To overcome the limitations of theoretical calculations for stress conditions of structural components with varying cross-sections under complex working conditions,a corresponding relationship between micro-mechanical and macro-mechanical parameters was established using distributed grating strain data based on the PSO-RBF neural network model.This enabled high-precision inversion of the position and magnitude of concentrated load on the support shield plate of the coal wall.Experimental results showed that the model achieved low prediction errors and high goodness of fit in multi-point calibration samples.The average absolute errors of position coordinates and load magnitude in the training set were 0.460 6,0.248 7,and 0.973 2,respectively.Compared to the load magnitude prediction,the model exhibited smaller errors in predicting the position of concentrated loads.The research findings provide an important theoretical and technical foundation for monitoring coal wall support conditions and ensuring safe mining,as well as a reliable method for accurate measurement of surrounding rock loads on other structural components of hydraulic supports.关键词
煤壁变形监测/智能护帮装置/液压支架护帮板/集中载荷反演/光纤布拉格光栅/PSO-RBF神经网络Key words
coal wall deformation monitoring/intelligent support device/hydraulic support shield plate/concentrated load inversion/fiber Bragg grating/PSO-RBF neural network分类
矿山工程引用本文复制引用
于翔,王国法,王家臣,李良晖,吴昊阳,王雨兵..基于智能护帮装置的煤壁变形监测和集中载荷反演技术[J].工矿自动化,2025,51(2):9-18,26,11.基金项目
国家重点研发计划项目(2023YFC2907505,2023YFC2907503,2023YFC2907501) （2023YFC2907505,2023YFC2907503,2023YFC2907501）
国家自然科学基金资助项目(52121003,51934008,52374106) （52121003,51934008,52374106）
中央高校基本科研业务费资助项目(2023YQTD02). （2023YQTD02）
