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作 者:程正 杨帆 Cheng Zheng;Yang Fan(Guangdong power grid limited liability company Jiangmen power supply bureau,Jiangmen 529000,China)
机构地区:[1]广东电网有限责任公司江门供电局,广东江门529000
出 处:《无线互联科技》2024年第1期51-54,共4页Wireless Internet Technology
摘 要:疲劳严重影响电力调度员在电力作业中的专注力,从而导致意外发生。为此,文章提出了一种基于YOLOv5的具有疲劳反馈调节的电力调度员疲劳监测系统。研究通过面部检测算法获取人眼开合度,利用疲劳监测算法得到疲劳阈值,比较一定时间内的人眼开合度平均值,从而做出人员精神状态判断,最后利用模拟椅子升降提示并控制按摩器对调度员进行反馈调节。该系统具有较高的准确率,能够实时有效地监测人员疲劳状态并及时给予反馈调节。基于YOLOv5的疲劳监测系统在预防因疲劳造成调度员误操作等危害方面具有广阔的应用前景,为实现安全、高效的工作环境提供有力的支持。Fatigue seriously affects the power dispatcher’s concentration in power operation,which leads to accidents.Therefore,a fatigue monitoring system for power dispatcher with fatigue feedback adjustment based on YOLOv5 is proposed in this paper.In this study,the face detection algorithm was used to obtain the open and close degree of the human eye,the fatigue monitoring algorithm was used to obtain the fatigue threshold,and the average value of the open and close degree of the human eye within a certain period of time was compared to judge the mental state of the human eye.Finally,the simulated chair lifting cue was used to control the massager for feedback adjustment of the dispatcher.The system has a high accuracy rate,and can effectively monitor the fatigue state of personnel in real time and give feedback adjustment in time.The fatigue monitoring system based on YOLOv5 has broad application prospects in preventing the misoperation of dispatchers and other hazards caused by fatigue,and provides strong support for achieving a safe and college working environment.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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