Research and Application of Straightening Scheme for Scraper Conveyor in Coal Mine Underground Working Face
QIN Xiaoyun
Abstract：In response to the problems of large errors and poor real-time performance in the straightness monitoring of scraper conveyors in coal mine underground working faces,a scraper conveyor straightening system was developed based on fiber bragg grating(FBG)curvature sensors through theoretical analysis,model construction,and scheme design.Firstly,a scraper conveyor attitude model was constructed.Secondly,real-time body attitude data was collected using FBG curvature sensors,and combined with LSTM neural network to predict straightening parameters,ultimately achieving a dynamic straightening process of"perception correction straightening prediction correction".Engineering practice has shown that after 3 straightening treatments,the initial straightness deviation of the scraper conveyor decreased from 322 mm to 152 mm,a decrease of 53％,reaching the allowable range.This study not only solves the technical problem of real-time monitoring and straightening of the straightness of scraper conveyors,but also provides effective support for the automation and intelligent development of coal mine fully mechanized mining faces,and has significant promotion and application value.
Keywords：scraper conveyorsstraightnessstraightening systemFBG curvature sensor
Publication Date：2025-12-31
Online Publishing Date：2026-01-29(First online date of this platform, not the publication date of the document)
Pages：5( 68-72 )