research-article

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

Authors:

Jun ZhangAuthors Info & Claims

ISIA '23: Proceedings of the 2023 International Conference on Intelligent Sensing and Industrial Automation

Article No.: 32, Pages 1 - 11

https://doi.org/10.1145/3632314.3632354

Published: 09 December 2023 Publication History

Abstract

At present, traditional tools such as coal electric drills and pneumatic rock drills are still widely used in the process of anchor rod support in coal mine tunnels. Moreover, due to the long-term drilling work of support workers in coal mine tunnels and various safety precautions, they are prone to visual fatigue, making it difficult to ensure long-term work. Currently, coal mine tunnel support robots represented by anchor rod drilling robots should have the ability to perceive themselves and liberate support workers in coal mine tunnels from adverse environments such as roof fall hazards and respirable dust. This project is a study on image recognition technology during the automatic drilling process of anchor rod drilling machines, with the aim of achieving automatic and accurate recognition and positioning of hole coordinates during the anchor rod support process, thereby achieving automation and unmanned anchor rod support process.

References

[1]

Zhang Jun Research on the Motion Control of the Mechanical Arm of the Anchor Drilling Robot Based on the WOA-FOPID Algorithm [J] Coal Science and Technology, 2022,50 (6): 292-302

[2]

ZHANG Jiangshi, FU Jing, HAO Hongyu, Root causes of coal mine accidents: Characteristics of safety culture deficiencies based on accident statisticst [J]. Process Safety and Environmental Protection, 2020, 136:78-91.

[3]

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

[4]

Zhang Zhongguo The development trend and key technologies of rapid excavation systems in coal tunnels [J] Coal Science and Technology, 2016, v.44; No.494 (01): 55-60.

[5]

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

[6]

Kang Hongpu. 60 years and prospect of development of bolting technology in coal mine roadway in China [J]. Journal of China University of Mining and Technology, 2016,45 (6): 11.

[7]

Hu Zai, Ge Shirong. Research and Development Progress and Trend Analysis of Coal Mine Robots [J]. Intelligent Mining, 2021, 2 (01): 59-74.

[8]

Ge Shirong. Current Situation and Development Direction of Coal Mine Robots [J]. China Coal, 2019, 45 (7): 10.

[9]

Ge Shirong, Hu Jue, Pei Wenliang. Coal Mine Robot System and Key Technologies [J]. Journal of Coal Industry, 2020,45 (01): 455-463.

[10]

KIM P G, PARK C G, JONG Y H, . Obstacle avoidance of a mobile robot using vision system and ultrasonic sensor [C]. International Conference on Intelligent Computing, 2007:545−551.

[11]

Qiu Guang. Research on target recognition and location of industrial robots based on binocular stereo vision [D]. Chongqing University of Posts and Telecommunications, 2020-05-07.

[12]

Wu Yiquan, Meng Tianliang, Wu Shihua. Research Progress in Image Threshold Segmentation Methods for 20 Years (1994-2014) [J]. Data Acquisition and Processing, 2015 (01): 1-23.

[13]

Fan Xi, Fei Shengwei, Chu Youbing. Improved Image Edge Extraction Algorithm Based on Canny Operator [J]. Automation and Instrumentation, 2019,34 (1): 41-44.

[14]

Li Yandi, Xu Xiping, Zhong Yan. Application of Feature String Constrained Random Hough Transform in Ellipse Detection [J]. Journal of Instrumentation, 2017,38 (1): 50-56.

[15]

Sun Xiaomin, Zhu Xiaochun, Zhou Wenchao, A fast detection method for circles based on Hough transform [J]. Manufacturing Automation, 2018,40 (5): 115-119

Cited By

Lei MZhang XChen X(2024)Monocular-Vision-Based Method for Locating the Center of Anchor Holes on Steel Belts in Coal Mine RoadwaysApplied Sciences10.3390/app1416708014:16(7080)Online publication date: 12-Aug-2024
https://doi.org/10.3390/app14167080
Cao RGuo L(2024)Design and Research of a Bolt Hole Recognition and Positioning System Based on Machine Vision2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE)10.1109/ICISCAE62304.2024.10761407(1115-1121)Online publication date: 27-Sep-2024
https://doi.org/10.1109/ICISCAE62304.2024.10761407

Index Terms

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

Recommendations

Research on Construction Technology of Guide-Hole Implantable Branch-Provided Rock Anchor Rod
ICDMA '15: Proceedings of the 2015 Sixth International Conference on Digital Manufacturing and Automation

In order to overcome the defects of the anchor rod as insufficient anti-pull force, low elongation, low stability during construction and difficulty for drilling the rock stratum to be anchored, this paper innovates on the conventional anchor rod by ...
Drilling rod target segmentation recognition based on an improved GAN

During the process of gas hole drilling, automatic loading and unloading drilling rod by robotic arm ensures the safety of personnel and drilling efficiency. Accurate recognition of drilling rod target is a prerequisite for precise positioning. However, ...
Research on Municipal Solid Waste Sanitary Landfill Leachate Drainage System Layout and Construction Technology
ICETCE '12: Proceedings of the 2012 Second International Conference on Electric Technology and Civil Engineering

Leach ate drainage system is very important part of the design for municipal solid waste sanitary landfill. Logical design can reduce the water head pressure and landfill leach ate air pressure and provides the necessary conditions for subsequent ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

ISIA '23: Proceedings of the 2023 International Conference on Intelligent Sensing and Industrial Automation

December 2023

292 pages

ISBN:9798400709401

DOI:10.1145/3632314

Copyright © 2023 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 December 2023

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ISIA 2023

ISIA 2023: 2023 International Conference on Intelligent Sensing and Industrial Automation

December 9 - 10, 2023

Virtual Event, China

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
37
Total Downloads

Downloads (Last 12 months)30
Downloads (Last 6 weeks)1

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Lei MZhang XChen X(2024)Monocular-Vision-Based Method for Locating the Center of Anchor Holes on Steel Belts in Coal Mine RoadwaysApplied Sciences10.3390/app1416708014:16(7080)Online publication date: 12-Aug-2024
https://doi.org/10.3390/app14167080
Cao RGuo L(2024)Design and Research of a Bolt Hole Recognition and Positioning System Based on Machine Vision2024 IEEE 7th International Conference on Information Systems and Computer Aided Education (ICISCAE)10.1109/ICISCAE62304.2024.10761407(1115-1121)Online publication date: 27-Sep-2024
https://doi.org/10.1109/ICISCAE62304.2024.10761407

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Table of Conten