A contactless measuring speed system of belt conveyor based on machine vision and machine learning
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 (TU Delft - Transport Engineering and Logistics)
Hongyan Wei (Taiyuan University of Technology)
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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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