Visual detection method based on line lasers for the detection of longitudinal tears in conveyor belts

被引:18
作者
Lv, Zhiwei [1 ]
Zhang, Xiaoguang [1 ,2 ]
Hu, Jiangdi [1 ]
Lin, Kang [1 ]
机构
[1] China Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Inst Min Robot, Xuzhou 221116, Jiangsu, Peoples R China
关键词
Conveyor belt; Longitudinal tear; Improved gray-gravity method (IGGM); Line laser; VISION DETECTION; INSPECTION;
D O I
10.1016/j.measurement.2021.109800
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This study proposes a novel method based on line lasers for longitudinal tear detection in conveyor belts. Unlike most of the existing methods directly based on the morphological characteristics easily influenced by the change in environmental light, this method transfers the characteristics of the belt to the linear characteristics of the laser line. As a strong light source, the linear laser is not easily affected by the change in light. A new improved gray-gravity center method (IGGM) was proposed to extract the centerline of the laser line, and then detect the longitudinal tear based on the characteristics of the centerline. The experimental results show that this method can remove the influence of the changes in environmental light, the laser line can retain the longitudinal tear features well, and IGGM can extract the centerline more accurately. Compared with other methods, this method has better accuracy and better real-time performance.
引用
收藏
页数:9
相关论文
共 20 条
[1]   Analysis of the mechanical properties of conveyor belts on the three main stages of production [J].
Barburski, Marcin .
JOURNAL OF INDUSTRIAL TEXTILES, 2016, 45 (06) :1322-1334
[2]   Copper Ore Quality Tracking in a Belt Conveyor System Using Simulation Tools [J].
Bardzinski, Piotr ;
Jurdziak, Leszek ;
Kawalec, Witold ;
Krol, Robert .
NATURAL RESOURCES RESEARCH, 2020, 29 (02) :1031-1040
[3]  
Blazej R., 2015, EVALUATION QUALITY S, V16, P59
[4]   Vulcanization of Rubber Conveyor Belts with Metallic Insertion Using Ultrasounds [J].
Dobrota, Dan .
25TH DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION, 2014, 2015, 100 :1160-1166
[5]  
Fromme C. C., 2006, US Patent, Patent No. [US6988610, 6988610]
[6]   Research on Audio-Visual Detection Method for Conveyor Belt Longitudinal Tear [J].
Hou, Chengcheng ;
Qiao, Tiezhu ;
Qiao, Meiying ;
Xiong, Xiaoyan ;
Yang, Yi ;
Zhang, Haitao .
IEEE ACCESS, 2019, 7 (120202-120213) :120202-120213
[7]   Multispectral visual detection method for conveyor belt longitudinal tear [J].
Hou, Chengcheng ;
Qiao, Tiezhu ;
Zhang, Haitao ;
Pang, Yusong ;
Xiong, Xiaoyan .
MEASUREMENT, 2019, 143 :246-257
[8]  
Li G., 2008, J CHINA U MINING TEC, V18, P59, DOI [10.1016/S1006-1266(08)60013-9, DOI 10.1016/S1006-1266(08)60013-9]
[9]   The conveyor belt longitudinal tear on-line detection based on improved SSR algorithm [J].
Li, Jie ;
Miao, Changyun .
OPTIK, 2016, 127 (19) :8002-8010
[10]   Laser-based on-line machine vision detection for longitudinal rip of conveyor belt [J].
Li, Xianguo ;
Shen, Lifang ;
Ming, Zixu ;
Zhang, Can ;
Jiang, Hangqi .
OPTIK, 2018, 168 :360-369