现代信息科技2025，Vol.9Issue(6)：142-145,4.DOI:10.19850/j.cnki.2096-4706.2025.06.027
基于YOLOv5的煤矿井下瓦斯钻杆智能识别方法
Intelligent Recognition Method for Gas Drill Rods in Coal Mine Underground Based on YOLOv5
蒋博文 1张若楠 1徐平安 1谢玉麒1
作者信息
- 1. 平安煤炭开采工程技术研究院有限责任公司,安徽 淮南 232001||淮南矿业(集团)有限责任公司,安徽 淮南 232000
- 折叠
摘要
Abstract
With the increase of coal mining depth,gas outburst has become an important factor restricting coal mining.Counting gas drill rods in coal mines underground has important guiding significance for underground gas extraction.At present,the main used traditional manual counting method is more time-consuming and laborious.To solve the above problems,an intelligent identification method of underground gas drill rods based on YOLOv5 is proposed.This method fully extracts and aggregates the drill rod features through the object detection algorithm YOLOv5 and outputs the final detection results.The BOLT-1000 drill rod dataset is constructed by collecting drill rod data through multi-angle camera arrangement,and the experimental platform is built for training and verification.The experimental results show that the method has high accuracy and robustness on the self-made dataset,and can accurately identify the underground gas drill rods.关键词
目标检测/瓦斯抽采/钻杆识别/YOLOv5Key words
Object Detection/gas extraction/drill rod identification/YOLOv5分类
信息技术与安全科学引用本文复制引用
蒋博文,张若楠,徐平安,谢玉麒..基于YOLOv5的煤矿井下瓦斯钻杆智能识别方法[J].现代信息科技,2025,9(6):142-145,4.
