The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure

Ehui Huang; Chunyang Gu; Shanping Gao; Jinling Song; Shuting Li; Junqin Zhou; Zhenjie Chen; Lizhi Gu

doi:10.1109/gcrait55928.2022.00048

The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure

Ehui Huang, Chunyang Gu, Shanping Gao, Jinling Song, Shuting Li, Junqin Zhou, Zhenjie Chen, Lizhi Gu

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

In thermal power generation, coal transportation is an important link in the production process, and coal transportation by corridor conveyor is a common technical method. In order to ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of conveyor rollers, and timely find and deal with abnormal situations. It is difficult to meet the requirements of modern thermal coal transportation inspection due to the heavy workload and high labor intensity. A kind of inspection robot instead of manual is proposed and developed. The robot system by CCD detection, convention scanning way, classifier design and abnormal structure pattern recognition algorithm, the displacement of conveyor roller state, center, loss of revolution, abstraction of severe abrasion and crack, forms the state vector, through clustering algorithm of norm, judgment is done for determination of the roller on the working state.

Original language	English
Title of host publication	2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT)
Place of Publication	Chicago
Publisher	IEEE
ISBN (Electronic)	9781665481922
ISBN (Print)	9781665481939
DOIs	https://doi.org/10.1109/gcrait55928.2022.00048
Publication status	Published - Jul 2022
Event	2022 Global Conference on Robotics, Artificial Intelligence and Information Technology - Chicago, United States Duration: 30 Jul 2022 → 31 Jul 2022

Conference

Conference	2022 Global Conference on Robotics, Artificial Intelligence and Information Technology
Abbreviated title	GCRAIT
Country/Territory	United States
City	Chicago
Period	30/07/22 → 31/07/22

Keywords

State vector
Structural pattern recognition
Machine vision
conveyor upper roller state ,
Cluster norm algorithm

Access to Document

10.1109/gcrait55928.2022.00048

Cite this

Huang, E., Gu, C., Gao, S., Song, J., Li, S., Zhou, J., Chen, Z., & Gu, L. (2022). The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure. In 2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT) IEEE. https://doi.org/10.1109/gcrait55928.2022.00048

@inproceedings{54c619711d914cdc9b46f9aa6181da9a,

title = "The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure",

abstract = "In thermal power generation, coal transportation is an important link in the production process, and coal transportation by corridor conveyor is a common technical method. In order to ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of conveyor rollers, and timely find and deal with abnormal situations. It is difficult to meet the requirements of modern thermal coal transportation inspection due to the heavy workload and high labor intensity. A kind of inspection robot instead of manual is proposed and developed. The robot system by CCD detection, convention scanning way, classifier design and abnormal structure pattern recognition algorithm, the displacement of conveyor roller state, center, loss of revolution, abstraction of severe abrasion and crack, forms the state vector, through clustering algorithm of norm, judgment is done for determination of the roller on the working state.",

keywords = "State vector, Structural pattern recognition, Machine vision, conveyor upper roller state ,, Cluster norm algorithm",

author = "Ehui Huang and Chunyang Gu and Shanping Gao and Jinling Song and Shuting Li and Junqin Zhou and Zhenjie Chen and Lizhi Gu",

year = "2022",

month = jul,

doi = "10.1109/gcrait55928.2022.00048",

language = "English",

isbn = "9781665481939",

booktitle = "2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT)",

publisher = "IEEE",

address = "United States",

note = "2022 Global Conference on Robotics, Artificial Intelligence and Information Technology, GCRAIT ; Conference date: 30-07-2022 Through 31-07-2022",

}

Huang, E, Gu, C, Gao, S, Song, J, Li, S, Zhou, J, Chen, Z & Gu, L 2022, The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure. in 2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT). IEEE, Chicago, 2022 Global Conference on Robotics, Artificial Intelligence and Information Technology, Chicago, United States, 30/07/22. https://doi.org/10.1109/gcrait55928.2022.00048

The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure. / Huang, Ehui; Gu, Chunyang; Gao, Shanping et al.
2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT). Chicago: IEEE, 2022.

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure

AU - Huang, Ehui

AU - Gu, Chunyang

AU - Gao, Shanping

AU - Song, Jinling

AU - Li, Shuting

AU - Zhou, Junqin

AU - Chen, Zhenjie

AU - Gu, Lizhi

PY - 2022/7

Y1 - 2022/7

N2 - In thermal power generation, coal transportation is an important link in the production process, and coal transportation by corridor conveyor is a common technical method. In order to ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of conveyor rollers, and timely find and deal with abnormal situations. It is difficult to meet the requirements of modern thermal coal transportation inspection due to the heavy workload and high labor intensity. A kind of inspection robot instead of manual is proposed and developed. The robot system by CCD detection, convention scanning way, classifier design and abnormal structure pattern recognition algorithm, the displacement of conveyor roller state, center, loss of revolution, abstraction of severe abrasion and crack, forms the state vector, through clustering algorithm of norm, judgment is done for determination of the roller on the working state.

AB - In thermal power generation, coal transportation is an important link in the production process, and coal transportation by corridor conveyor is a common technical method. In order to ensure the normal and continuous supply of coal, it is necessary to inspect the corridor facilities, especially the working status of conveyor rollers, and timely find and deal with abnormal situations. It is difficult to meet the requirements of modern thermal coal transportation inspection due to the heavy workload and high labor intensity. A kind of inspection robot instead of manual is proposed and developed. The robot system by CCD detection, convention scanning way, classifier design and abnormal structure pattern recognition algorithm, the displacement of conveyor roller state, center, loss of revolution, abstraction of severe abrasion and crack, forms the state vector, through clustering algorithm of norm, judgment is done for determination of the roller on the working state.

KW - State vector

KW - Structural pattern recognition

KW - Machine vision

KW - conveyor upper roller state ,

KW - Cluster norm algorithm

UR - http://dx.doi.org/10.1109/gcrait55928.2022.00048

U2 - 10.1109/gcrait55928.2022.00048

DO - 10.1109/gcrait55928.2022.00048

M3 - Conference contribution

SN - 9781665481939

BT - 2022 Global Conference on Robotics, Artificial Intelligence and Information Technology (GCRAIT)

PB - IEEE

CY - Chicago

T2 - 2022 Global Conference on Robotics, Artificial Intelligence and Information Technology

Y2 - 30 July 2022 through 31 July 2022

ER -

The state inspection of upper supporting roller of conveyor in service with structural pattern recognition and cluster norm algorithm of failure

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