Research on Image Recognition Technology for Hole Position of Automatic Anchor Rod Drilling-Reference-Cited by-同舟云学术

Research on Image Recognition Technology for Hole Position of Automatic Anchor Rod Drilling

Published:2023-12-09 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Intelligent Sensing and Industrial Automation
language:
Short-container-title:

Author:

Hao Yaming¹^ORCID,Zhang Jun²^ORCID

Affiliation:

1. National Energy Group Shendong Coal Group High-end Equipment R&D Center, China and School of Mechanical and Transportation Engineering, Taiyuan University of Technology, China

2. School of Mechanical and Transportation Engineering, Taiyuan University of Technology, China

Publisher

ACM

Reference15 articles.

1. Root causes of coal mine accidents: Characteristics of safety culture deficiencies based on accident statisticst [J];Jiangshi ZHANG;Process Safety and Environmental Protection,2020

2. Xie Heping , Gao Feng , Ju Yang , Quantitative Definition and Analysis of Deep Mining [J] . Journal of Coal Industry , 2015 ( 1 ): 10 . Xie Heping, Gao Feng, Ju Yang, Quantitative Definition and Analysis of Deep Mining [J]. Journal of Coal Industry, 2015 (1): 10.

3. The development trend and key technologies of rapid excavation systems in coal tunnels [J] Coal Science and Technology, 2016, v.44;;Zhongguo Zhang;No

4. Kang Hongpu . Development and Prospects of Coal Mine Tunnel Support and Reinforcement Materials [J] . Coal Science and Technology , 2021 , 49 ( 4 ): 11 . Kang Hongpu. Development and Prospects of Coal Mine Tunnel Support and Reinforcement Materials [J]. Coal Science and Technology, 2021, 49 (4): 11.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monocular-Vision-Based Method for Locating the Center of Anchor Holes on Steel Belts in Coal Mine Roadways;Applied Sciences;2024-08-12