天津工业大学学报2025，Vol.44Issue(2)：78-83,6.DOI:10.3969/j.issn.1671-024x.2025.02.011
基于图像匹配的钢丝绳芯输送带接头抽动自动检测
Automatic detection of joint twitching of steel wire rope core conveyor belt based on image matching
摘要
Abstract
Aiming at the problem of poor effectiveness and accuracy of joint twitch detection,an automatic detection method of steel wire rope core conveyor belt joint twitch based on image matching is proposed.Firstly,image preprocess-ing is earried out to improve the image quality.Then the automatic threshold is used to extract the wire rope end point.Then,the improved ORB algorithm is used for image matching,and the steel wire rope end points in the detected image and the reference image are corresponded one by one.Finally,the joint twitch measurement method based on the set of wire rope end reference points is used to calculate the joint twitch and locate the fault.The experimental results show that this method can automatically detect and identify the end points of the steel wire rope at the joint of the steel wire rope core conveyor belt,accurately obtain the matching point pairs of the end points of the steel wire rope,calculate the end twitch of a single steel wire rope,the average end twitch of the steel wire rope upper(lower)end and the overall end twitch,and detect and identify the position and variation of the abnormal end points of the steel wire rope.And the automatic detection and comprehensive judgment of joint twitch are realized.关键词
钢丝绳芯输送带/接头抽动/图像匹配/钢丝绳端头点提取/ORB算法Key words
steel wire rope core conveyor belt/joint twitching/image matching/extraction of wire rope end point/ORB al-gorithm分类
矿业与冶金引用本文复制引用
李现国,郭宽宽,苗长云..基于图像匹配的钢丝绳芯输送带接头抽动自动检测[J].天津工业大学学报,2025,44(2):78-83,6.基金项目
天津市重点研发计划科技支撑重点项目(18YFZCGX00930) （18YFZCGX00930）
