Shangkai Hao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Shangkai Hao has a total of 6 co-authors. Here are the top co-authors by number of shared publications:
- Bin Wang
School of Coal Engineering, Shanxi Datong University, Datong 037003, China
1 shared publication - Chao Gu
School of Coal Engineering, Shanxi Datong University, Datong 037003, China
1 shared publication - Haosheng Wang
School of Coal Engineering, Shanxi Datong University, Datong 037003, China
1 shared publication - Jiangong Lin
School of Coal Engineering, Shanxi Datong University, Datong 037003, China
1 shared publication - Lei Zhang
School of Coal Engineering, Shanxi Datong University, Datong, Shanxi, 037003, China
1 shared publication - Yiping Sui
School of Coal Engineering, Shanxi Datong University, Datong 037003, China
1 shared publication
Latest Publications
- Open Access
- 15 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (20) , 13276
Safety Warning of Mine Conveyor Belt Based on Binocular Vision
For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides safety-warning data of over-volume limits for mine conveyor belts, and prevents damage to the mine conveyor belts. In this design, first, by obtaining the binocular camera parameters to improve the image-edge information, images taken with a binocular camera were then aligned by the Bouguet stereo correction algorithm. Finally, the disparity map was calculated by the semi-global-block matching (SGBM) stereo matching, and to get the target 3D coordinates, volume measurements were performed by the micrometric method. The study shows that the experimental error remains at about 5.65%, which provides a low-cost measurement method for raw-coal-volume measurement of the well industry and coal-mine belt conveyor.
- 15 October 2022
- Published by MDPI AG in Sustainability
- Vol. 14 (20) , 13276
Open AccessSafety Warning of Mine Conveyor Belt Based on Binocular Vision
For the wear and damage to mine conveyor belts by foreign materials, such as large materials, this paper designs a volume measurement method for large materials based on binocular vision by the volume measurement of the large material inon the conveyor belt, provides safety-warning data of over-volume limits for mine conveyor belts, and prevents damage to the mine conveyor belts. In this design, first, by obtaining the binocular camera parameters to improve the image-edge information, images taken with a binocular camera were then aligned by the Bouguet stereo correction algorithm. Finally, the disparity map was calculated by the semi-global-block matching (SGBM) stereo matching, and to get the target 3D coordinates, volume measurements were performed by the micrometric method. The study shows that the experimental error remains at about 5.65%, which provides a low-cost measurement method for raw-coal-volume measurement of the well industry and coal-mine belt conveyor.