摘要
随着企业数字化转型不断深入,视频分析技术得到广泛应用,企业安装的大量摄像头不仅发挥监控的作用,且可以利用像素分割、机器学习等技术实现特征识别功能,选煤厂在矿山企业中危险作业点多、作业环境复杂、人员安全风险管控难度大,在智能化建设中,智能安全管理作为关键建设课题,需以人为核心,根据选煤厂人员工作环境、工作内容和人员不安全行为的认定标准制定智能识别体系,根据识别结果自动判定不安全行为等级,生成数据分析报告。实现选煤厂人员不安全行为的闭环管理。
With the deepening of enterprise digital transformation,video analysis technology has been applied in more fields,and a large number of cameras installed are not only used as monitoring,but also can use pixel segmentation,machine learning and other technologies to achieve feature recognition function.Coal preparation plant in mining enterprises in the dangerous operation points,complex operating environment,personnel safety risk control is difficult,intelligent safety management as a key topic in intelligent construction.It is necessary to establish a set of systematic intelligent identification system based on the human core,according to the working environment,work content and the identification standard of personnel′s unsafe behavior in coal preparation plant,and can automatically determine the level of unsafe behavior according to the identification results,and generate data analysis report.to realize the closed-loop management of unsafe behavior of personnel in coal preparation plant.
作者
王安佳
陈世涛
WANG Anjia;CHEN Shitao(CHN Energy Shendong Coal Preparation Center,Yulin 719315,China)
出处
《洁净煤技术》
CAS
CSCD
北大核心
2023年第S01期164-168,共5页
Clean Coal Technology
关键词
视频分析
像素分割
智能安全
数据分析
video analysis
segmentation of pixels
intelligent security
data analysis
作者简介
王安佳(1987—),男,辽宁朝阳人,工程师。E-mail:anjiaw3721@163.com
