A contactless measuring speed system of belt conveyor based on machine vision and machine learning

Yuan Gao, Tiezhu Qiao, Haitao Zhang, Yi Yang, Yusong Pang, Hongyan Wei

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
8 Downloads (Pure)

Abstract

During the operation of the belt conveyor, measuring speed of the belt conveyor is vital to the safe and efficient operation. In the existing measuring speed system, the measurement instrument is required contacting with the surface of the belt. The contact measurement method cannot avoid the occurrence of measuring error caused by slipping on the contact surface and wear of the measurement instrument. In order to solve the problems mentioned above, a new contactless measuring speed system is proposed in this paper. The system uses the CCD camera to capture the side image of belt. The speed of belt conveyor can be obtained by measuring the regularity of image texture. The proposed measuring system can meet the requirement of measuring speed in long running process of belt conveyor. Experimental results show that the measuring accuracy indicators can reach RMSE of 0.018 m/s and MAE of 0.010 m/s.

Original languageEnglish
Pages (from-to)127-133
JournalMeasurement: Journal of the International Measurement Confederation
Volume139
DOIs
Publication statusPublished - 2019

Keywords

  • Belt conveyor
  • Contactless measuring speed
  • Image processing
  • Polynomial linear regression

Fingerprint

Dive into the research topics of 'A contactless measuring speed system of belt conveyor based on machine vision and machine learning'. Together they form a unique fingerprint.

Cite this