摘要
矿井作业人员违章操作是矿井日常监测的重点和难点。为解决目前人工监测效率较低、范围有限等问题,设计一种基于机器视觉的矿井作业人员行为监测及违章识别系统。该系统采集矿井作业人员的个人信息,生成作业人员相对于现场工作岗位的违章概率及违章概率排名,并对排名满足预设要求的人员进行跟踪监测。经矿井现场作业验证,该系统实现了矿井作业人员违章操作的自动识别。
The illegal operation of mine operators is the key and difficult point of mine daily monitoring.In order to solve the problems of low efficiency and limited scope of manual monitoring,a mine operator behavior monitoring and violation recognition system based on machine vision is designed.The system collects the personal mfbrmation of mine operators,generates the violation probability and violation probability ranking of operators relative to field jobs,and tracks and monitors the personnel whose ranking meets the preset requirements.The system has realized the automatic recognition of illegal operation of mine operators.
作者
游青山
冉霞
You Qingshan;Ran Xia(Chongqing Vocational Institute of Engineering,Chongqing 402260,China;Application of Industrial Robot and Mine Intelligent Equipment System in Chongqing Institute Engineering Center,402260,China;China Coal Technology Engineering Group Chongqing Research Institute,Chongqing 400039,China;State Key Laboratory of Gas Disaster Monitoring and Emergency Technology,Chongqing 400037,China)
出处
《自动化与信息工程》
2021年第4期20-24,共5页
Automation & Information Engineering
基金
重庆市教委项目(193428)
重庆市科技局自然基金(cstc2020jcyj-msxmX0793)
重庆市教委科学技术研究计划项目(KJQN202003402)
重庆市应急管理局项目(2019ZX021)
关键词
机器视觉
行为监测
违章识别
矿井
machine vision
behavior monitoring
violation identification
mine
