Research on intelligent monitoring system of mine-used belt conveyor
Title: | Research on intelligent monitoring system of mine-used belt conveyor |
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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 |
ISSN: | 1671251X 1671251x |
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DOI: | 10.13272/j.issn.1671-251x.17595 |
Published in: | Gong-kuang zidonghua |
Language: | Chinese |