The research on the monitoring system for conveyor belt based on pattern recognition

被引：11

作者：

Wang ChuanQi ^{[1
]}

Zhang Jian ^{[1
]}

机构：

[1] HEBEI United Univ, Sch Informat Engn, Tangshan City, Hebei, Peoples R China

来源：

INTELLIGENT SYSTEM AND APPLIED MATERIAL, PTS 1 AND 2 | 2012年 / 466-467卷

关键词：

conveyor belt tearing; pattern recognitoin; threshold segmentation; least square method; fitted curve;

D O I：

10.4028/www.scientific.net/AMR.466-467.622

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Currently, the measures for monitoring the conveyor belt from tearing are all in contact-type, therefore, the recognition would only be valid while the leakage of material occured or the belt dropt, since the belt has been torn with a certain length. Then, at that time, the economic losses would be caused. Furthermore, the related devices for monitoring belt would cause abrasion due to contact friction, which is harmful for belt. In this research, a contactless monitoring method based on image processing and pattern recognition would be discussed, which is able to provide an effecient way to monitor conveyor belt in real time and with non-blind area. While the tearing occurs, the system enables to generate the signal for shutting off, then to protect the belt maximumly.

引用

页码：622 / 625

页数：4