露天采矿技术2026，Vol.41Issue(2)：63-67,5.DOI:10.13235/j.cnki.ltcm.20250267
基于机器视觉的储煤仓群智能监控系统
Intelligent monitoring system for coal bunker cluster based on machine vision
刘紫阳 1白雯滔 1翟昱博 1张建华1
作者信息
- 1. 国能北电胜利能源有限公司,内蒙古 锡林浩特 026000
- 折叠
摘要
Abstract
In order to improve the production management efficiency and information management level of the coal bunker cluster,and reduce manual operation and maintenance costs,based on machine vision and YOLOv5 object detection algorithm,this article designs the intelligent monitoring system for the coal bunker cluster and introduces system architecture design scheme and main task objectives function implementation.Based on the task objectives of safety prevention and efficiency improvement,the article analyzes the algorithm framework of system's intelligent detection functions for personnel location,personnel behavior,personal protective equipment wearing,production identification signs,fireworks,water accumulation,scraper machine faults,etc.The results indicate that monitoring system improves the safety and efficiency of production activities in the coal bunker cluster,enhances the level of information management in the production site,and promotes the intelligence level of the industrial structure.关键词
机器视觉/储煤仓群/监控系统/人员行为/生产安全Key words
machine vision/coal bunker cluster/monitoring system/personnel behavior/production safety分类
矿业与冶金引用本文复制引用
刘紫阳,白雯滔,翟昱博,张建华..基于机器视觉的储煤仓群智能监控系统[J].露天采矿技术,2026,41(2):63-67,5.
