A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors

Joint Authors

Zhang, Mengchao
Zhou, Manshan
Shi, Hao

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-21

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

Real-time load detection method for belt conveyors based on computer vision is the research topic of this paper.

A belt conveyor system equipped with cameras and a laser generator is used as the test apparatus.

As the basis for conveyor intelligent speed regulation, two methods from different angles to perceive the load of conveyor belt were proposed, applied, and compared in this paper.

Method 1 is based on the area proportion and method 2 is the detection based on laser-based computer vision technology.

Laboratory experiments show that both methods can well detect the load on the conveyor belt.

Method 2 is more economical and practical under the background of existing technology, also compared to the method 1, which provides a new idea and theoretical basis for the energy-saving control and intelligent development of the conveyor.

American Psychological Association (APA)

Zhang, Mengchao& Zhou, Manshan& Shi, Hao. 2020. A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201578

Modern Language Association (MLA)

Zhang, Mengchao…[et al.]. A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1201578

American Medical Association (AMA)

Zhang, Mengchao& Zhou, Manshan& Shi, Hao. A Computer Vision-Based Real-Time Load Perception Method for Belt Conveyors. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201578

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1201578