DOI: 10.11799/ce202501020
Design and research on non twisted multi-point dual core curvature sensor for scraper conveyor
QI Yuhao
WU Gang
ZHENG Can
FANG Xinqiu
ZHANG Daixiang
FENG Yulong
Abstract：In the process of intelligent construction of coal mine fully mechanized mining face,there are problems for straightness perception and low measurement accuracy of scraper conveyor.To solve these problems,we designed a non twisted uniform multi-point dual core curvature sensor based on fiber optic grating sensing theory.Built a simplified model for the bending condition pose of a scraper conveyor,and established the relationship between the various middle grooves of the scraper conveyor using angle recursive algorithm.Secondly,conducted calibration experiments on the non twisted multi-point dual core curvature sensor,and derived the mathematical equation between the wavelength drift and angle change of the fiber optic grating.Finally,carried out a straightness perception experiment based on the actual working state of the scraper conveyor.The experimental results show that the fitted data of the sensor is highly consistent with the measured data,with a maximum error within 3mm.It can achieve intelligent perception of the curvature of the scraper conveyor in the fully mechanized mining face,providing a new solution for monitoring the straightness of the scraper conveyor.
Keywords：straightness perceptionscraper conveyorcurvature sensorsFBG
Publication Date：2025-01-19
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 144-151 )