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

Journal article (2019)

Authors

Yuan Gao Taiyuan University of Technology
Tiezhu Qiao Taiyuan University of Technology
Haitao Zhang Taiyuan University of Technology
Yi Yang Taiyuan University of Technology
Y. Pang Transport Engineering and Logistics - Mechanical, Maritime and Materials Engineering
Hongyan Wei Taiyuan University of Technology
Research Group
Transport Engineering and Logistics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2019 Yuan Gao, Tiezhu Qiao, Haitao Zhang, Yi Yang, Y. Pang, Hongyan Wei
DOI: https://doi.org/10.1016/j.measurement.2019.03.030
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Published Date

2019

Language

English

Faculty

Mechanical, Maritime and Materials Engineering

Department

Marine and Transport Technology

Research Group

Transport Engineering and Logistics

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.

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