A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing

A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing

ObjectiveGiven the inaccurate and low-efficiency manual statistics of the quantity of coals flushed out during borehole hydraulic flushing, this study proposed an intelligent identification method that combines YOLOv8n, ResNet34, and PP-OCRv4 algorithms. MethodsFirst, the first-level detection was c...

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Bibliographic Details
Main Authors: Xiaojun LI, Mingyang ZHAO, Miao LI
Format: Article
Language:zho
Published: Editorial Office of Coal Geology & Exploration 2025-01-01
Series:Meitian dizhi yu kantan
Subjects:
gas drainage
quantity of coals flushed out
yolov8n
resnet34
paddleocr
deformable convolution
dynamic head (dyhead)
intelligent identification
coal mine
Online Access:http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0605
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http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0605

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