An on-line detection method for conveyor belt deviation faults

Author:

Liu Mingsheng1,Mei Xiuzhuang2,Sun Dongming1,Zhang Jian1,Chen Zelin3

Affiliation:

1. Inner Mongolia Daban Power Generation Co., Ltd., Chifeng, China

2. School of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot, China + Inner Mongolia Dazhi Energy Technology Co., Ltd., Hohhot, China

3. Inner Mongolia Dazhi Energy Technology Co., Ltd., Hohhot, China

Abstract

The conveyor belt deviation occurs frequently, and it will finally lead to an accident, so its detection has triggered skyrocketing attention from both industry and academia. In this paper, an adaptive segmentation model and a belt offset quantification model are established for continuous online detection of the conveyor belt deviation status. The results show that the degree of the conveyor belt deviation can be quantitatively calculated and its deviation status can be objectively evaluated. This technology has opened the path for a new way to on-line continuously detect the conveyor belt deviation.

Publisher

National Library of Serbia

Subject

Renewable Energy, Sustainability and the Environment

Reference18 articles.

1. Li, W. H., et al., Research on Image Recognition Technology of Belt Conveyor in Coal Mine (in Chi-nese), Coal Technology, 39 (2020), 1, pp. 177-179

2. Mei, X. Z., et al., On-Line Intelligent Evaluation of the Fatigue State of a Composite Conveyor Belt, Thermal Science, 25 (2021), 3B, pp. 2189-2196

3. Yin, Z. M., et al., Study on Deviation of Conveyor Belt Based on Multi-Body Dynamics Characteristics (in Chinese), Journal of Mechanical Engineering, 56 (2020), 1, pp. 37-46

4. Fu, T., Design of Belt Conveyor Rectification System Based on Machine Vision (in Chinese), Coal Mine Machinery, 41 (2020), 8, pp. 183-185

5. Wang, P., Real-Time Monitoring Technology of Conveyor Belt Deviation State Based on Digital Image Processing (in Chinese), Coal Mine Machinery, 42 (2021), 02, pp. 168-170

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