摘要
矿井下复杂、恶劣的作业环境给单轨吊运输效率和安全保障带来了极大挑战。为此,提出煤矿单轨吊智能巡检与预警系统。所提系统以改进的YOLOv7目标检测算法为核心,集成多IOT传感器感知与多模态预警系统,实现了对单轨吊运输环境中异常情况的自主检测与预警。实践表明,所提系统检测精度高、鲁棒性好,大大提高了单轨吊运行保障系统的稳定性和安全性,保障了矿井的安全运输生产,提升了矿井智能化水平。所提系统不仅填补了矿井下单轨吊智能安全系统研究的空白,而且扩展了特定场景下YOLO目标检测算法的应用。
The complex and poor operating environment under the mine brings great challenges to the monorail crane transport efficiency and safety.For this reason,this paper proposes an intelligent inspection and early warning system for mine monorail cranes.Central to the proposed system is the enhanced YOLOv7 target detection algorithm,which is integrated with multi-IOT sensor sensing and a multi-modal warning system.This integration facilitates the autonomous detection and early warning of abnormal conditions within the monorail cranes transportation environment.Practice shows that the system has high detection accuracy and good robustness,which greatly improves the stability and safety of the monorail crane operation and security system,guarantees the safe transport production of the mine,and improves the intelligence level of the mine.The proposed system not only fills the gaps in the research of intelligent safety systems for monorail cranes under the mine,but also extends the application of the YOLO target detection algorithm in specific scenes.
作者
雷雨
周欧阳
雷银
LEI Yu;ZHOU Ouyang;LEI Yin(Mechanical and Electrical Equipment Department,Huaibei Mining Co.,Ltd.,Huaibei 235000,China;College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China)
出处
《微型电脑应用》
2025年第3期101-104,121,共5页
Microcomputer Applications
基金
单轨吊安全运行智能检测与预警关键技术研究(HD20230006)。
关键词
煤矿工业
单轨吊
目标检测
YOLO
智能巡检
mine industry
monorail crane
target detection
YOLO
intelligent inspection
