Home Journals Articles Updates About
CN
image
收藏切换
Homogenization Evaluation for Backfill Slurry Based on Improved Yolo-v7 Algorithm
收藏切换
PDF
Jinping GUO, Yuanze SUN, Chao ZHANG, Xiaolin WANG, Xiang LI, Dehao KONG
Mining and Metallurgical Engineering | 2025, 45(5) : 41 - 48
Less
收藏切换
Mining and Metallurgical Engineering | 2025, 45(5): 41-48
• MINING •
Homogenization Evaluation for Backfill Slurry Based on Improved Yolo-v7 Algorithm
Full
Jinping GUO, Yuanze SUN, Chao ZHANG, Xiaolin WANG, Xiang LI, Dehao KONG
Affiliations
  • School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
Published: 2025-10-01 doi: 10.3969/j.issn.0253-6099.2025.05.007
Outline
收藏切换

Homogenization of backfill slurry cannot be automatically evaluated during stirring process. To solve this problem, the Yolo-v7 algorithm was improved by using the CBAM and the SPD-Conv, and the improved Yolo-v7 algorithm was then employed to automatically evaluate the homogenization of backfill slurry. The research results show that the improved Yolo-v7 algorithm demonstrates a significantly improved performance, with the accuracy, recall rate and mean average precision (mAP) all increased by 17.5, 28.8, and 32.4 percentage points respectively. Analysis of slurry parameter sensitivity indicates that slurry concentration is the principal factor affecting evaluation of slurry inhomogeneity, followed by the cement-tailings ratio. Moreover, the homogeneity of backfill slurry with high concentration can be significantly improved by prolonging stirring time.

backfill slurry  /  Yolo-v7 algorithm  /  inhomogeneous property  /  homogenization  /  intelligent evaluation  /  machine learning  /  machine vision
Jinping GUO, Yuanze SUN, Chao ZHANG, Xiaolin WANG, Xiang LI, Dehao KONG. Homogenization Evaluation for Backfill Slurry Based on Improved Yolo-v7 Algorithm[J]. Mining and Metallurgical Engineering, 2025 , 45 (5) : 41 -48 . DOI: 10.3969/j.issn.0253-6099.2025.05.007
Appendix
Less
Year 2025 volume 45 Issue 5
PDF
49
23
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.0253-6099.2025.05.007
  • Receive Date：2025-04-20
  • Online Date：2026-03-18
  • Published：2025-10-01
Article Data
Affiliations
History
  • Received：2025-04-20
Funding
Affiliations
    School of Resource Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, Shaanxi, China
References
Share
https://castjournals.cast.org.cn/joweb/kygczz/EN/10.3969/j.issn.0253-6099.2025.05.007
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House