Research on intelligent monitoring system of mine-used belt conveyor

Bibliographic Details
Title: Research on intelligent monitoring system of mine-used belt conveyor
Authors: MAO Qinghua, MAO Jingen, MA Hongwei, ZHANG Xuhui, LI Zheng
Source: Gong-kuang zidonghua, Vol 46, Iss 6, Pp 48-52 (2020)
Publisher Information: Editorial Department of Industry and Mine Automation, 2020.
Publication Year: 2020
Collection: LCC:Mining engineering. Metallurgy
Subject Terms: mine-used belt conveyor, intelligent monitoring, damage monitoring of conveyor belt, tear monitoring of conveyor belt, coal flow monitoring, personnel safety monitoring, fault diagnosis and early warning, Mining engineering. Metallurgy, TN1-997
More Details: In view of the friction and heating between conveyor belt and key components such as idlers and rollers, the internal damage and tear of steel conveyor belt, and high running power consumption in operation process of mine-used belt conveyor, an intelligent monitoring system of mine-used belt conveyor was designed. The system includes damage monitoring system of steel conveyor belt based on weak magnetic detection method, fault diagnosis and early warning system of key components of belt conveyor based on infrared thermal imaging temperature detection method, and coal flow monitoring, foreign matter monitoring, belt tear monitoring and personnel safety monitoring system based on visual detection method, and implementation principle of each system is introduced in detail. The internal damage identification of steel conveyor belt and fault diagnosis and early warning of key components of belt conveyor are verified by experiments. The results show that the system can accurately identify damage of steel conveyor belt with an accuracy of about 98%, and can accurately identify faults of key components of belt conveyor and give early warning.
Document Type: article
File Description: electronic resource
Language: Chinese
ISSN: 1671-251X
1671-251x
Relation: https://doaj.org/toc/1671-251X
DOI: 10.13272/j.issn.1671-251x.17595
Access URL: https://doaj.org/article/b622907c212d468db4e8c75aadcbfc60
Accession Number: edsdoj.b622907c212d468db4e8c75aadcbfc60
Database: Directory of Open Access Journals
More Details
ISSN:1671251X
1671251x
DOI:10.13272/j.issn.1671-251x.17595
Published in:Gong-kuang zidonghua
Language:Chinese