计算机应用与软件2024，Vol.41Issue(7)：93-99,7.DOI:10.3969/j.issn.1000-386x.2024.07.015
基于视频的托辊异常检测方法研究
ANOMALY DETECTION METHOD OF ROLLER BASED ON VIDEO
李占利 1胡长斌 1靳红梅1
作者信息
- 1. 西安科技大学计算机科学与技术学院 陕西西安 710600
- 折叠
摘要
Abstract
Aimed at the problems of low detection accuracy and long manual detection time for abnormal phenomena such as stuck rollers,blockages,and bearing failures of the rollers,an image-based abnormal detection method of the idler is proposed to realize the real-time abnormal detection and early warning of the idler.We analyzed the causes of abnormal rollers,proposed a video based abnormal roller detection scheme,and designed an abnormal roller detection network.The experiments show that the abnormal roller detection accuracy rate of 89.53％,and the detection speed of 103 FPS.Five evaluation criteria and comparative experiments were used to verify the pros and cons of the C3D network abnormal roller detection scheme.Compared with the roller anomaly detection scheme based on sound signals,the detection method based on the C3 D network reduces the difficulty and cost of sensor installation and maintenance,and increases the accuracy of stuck roller detection to 94.57％.关键词
托辊/带式输送机/异常检测/C3D/运动特征提取Key words
Roller/Belt conveyor/Abnormality detection/C3D/Motion feature extraction分类
信息技术与安全科学引用本文复制引用
李占利,胡长斌,靳红梅..基于视频的托辊异常检测方法研究[J].计算机应用与软件,2024,41(7):93-99,7.
