Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar
This research focuses on the pivotal role of coal mining shaft safety. Deformations and fractures in the shaft wall can cause significant risks to mine operations, which require regular safety inspection to prevent hazards. Existing shaft detection systems cannot provide any prior notifications befo...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10577985/ |
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| author | Chi Ma Samsil Arefin Mozumder Md Mahbub Hossen Manman Shao Yuqiang Jiang |
| author_facet | Chi Ma Samsil Arefin Mozumder Md Mahbub Hossen Manman Shao Yuqiang Jiang |
| author_sort | Chi Ma |
| collection | DOAJ |
| description | This research focuses on the pivotal role of coal mining shaft safety. Deformations and fractures in the shaft wall can cause significant risks to mine operations, which require regular safety inspection to prevent hazards. Existing shaft detection systems cannot provide any prior notifications before damage occurs, with complex systems and low intelligence. To solve these problems, our proposed system has three key indicators: shaft deformation, shaft perpendicularity, and horizontal vibration of the lifting container. This intelligent system reduces the likelihood of significant shaft damage by enhancing automation, intelligence, and efficiency. The research starts by defining the essential features required for the shaft detection system, like data acquisition system, data transmission, and data processing. Hardware includes LiDAR sensors, CMOS cameras, laser collimators, control board, batteries, and software implemented on ROS. This system collects data, simulates shaft conditions, and conducts horizontal vibration displacement detection experiments. Moreover, we validated shaft deformation and perpendicularity detection under static conditions. This research concludes by analyzing the accuracy of the detection system in actual working conditions, confirming its practicality and reliability. Overall, this research solves critical issues in shaft safety and introduces an intelligent, efficient, and smart solution. |
| format | Article |
| id | doaj-art-89f58c0a3e684633b9d4aaa3b1e6a469 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-89f58c0a3e684633b9d4aaa3b1e6a4692025-08-20T02:02:06ZengIEEEIEEE Access2169-35362025-01-0113362473626210.1109/ACCESS.2024.342088810577985Research on Vertical Shaft Detection System Based on CMOS-Camera and LidarChi Ma0Samsil Arefin Mozumder1https://orcid.org/0009-0002-3892-3030Md Mahbub Hossen2Manman Shao3Yuqiang Jiang4https://orcid.org/0009-0008-5384-1862School of Mechatronics, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechatronics, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechatronics, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechatronics, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaSchool of Mechatronics, China University of Mining and Technology, Xuzhou, Jiangsu, ChinaThis research focuses on the pivotal role of coal mining shaft safety. Deformations and fractures in the shaft wall can cause significant risks to mine operations, which require regular safety inspection to prevent hazards. Existing shaft detection systems cannot provide any prior notifications before damage occurs, with complex systems and low intelligence. To solve these problems, our proposed system has three key indicators: shaft deformation, shaft perpendicularity, and horizontal vibration of the lifting container. This intelligent system reduces the likelihood of significant shaft damage by enhancing automation, intelligence, and efficiency. The research starts by defining the essential features required for the shaft detection system, like data acquisition system, data transmission, and data processing. Hardware includes LiDAR sensors, CMOS cameras, laser collimators, control board, batteries, and software implemented on ROS. This system collects data, simulates shaft conditions, and conducts horizontal vibration displacement detection experiments. Moreover, we validated shaft deformation and perpendicularity detection under static conditions. This research concludes by analyzing the accuracy of the detection system in actual working conditions, confirming its practicality and reliability. Overall, this research solves critical issues in shaft safety and introduces an intelligent, efficient, and smart solution.https://ieeexplore.ieee.org/document/10577985/Shaft deformationshaft verticalityvibration detectionimage processingpoint cloud processing |
| spellingShingle | Chi Ma Samsil Arefin Mozumder Md Mahbub Hossen Manman Shao Yuqiang Jiang Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar IEEE Access Shaft deformation shaft verticality vibration detection image processing point cloud processing |
| title | Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar |
| title_full | Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar |
| title_fullStr | Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar |
| title_full_unstemmed | Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar |
| title_short | Research on Vertical Shaft Detection System Based on CMOS-Camera and Lidar |
| title_sort | research on vertical shaft detection system based on cmos camera and lidar |
| topic | Shaft deformation shaft verticality vibration detection image processing point cloud processing |
| url | https://ieeexplore.ieee.org/document/10577985/ |
| work_keys_str_mv | AT chima researchonverticalshaftdetectionsystembasedoncmoscameraandlidar AT samsilarefinmozumder researchonverticalshaftdetectionsystembasedoncmoscameraandlidar AT mdmahbubhossen researchonverticalshaftdetectionsystembasedoncmoscameraandlidar AT manmanshao researchonverticalshaftdetectionsystembasedoncmoscameraandlidar AT yuqiangjiang researchonverticalshaftdetectionsystembasedoncmoscameraandlidar |