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作 者:郝聪 郝婷 邓乐晨 柳万 Hao Cong;Hao Ting;Deng Lechen;Liu Wan(China Huadian Inner Mongolia Mengtai Buliangou Coal Industry Co.,Ltd.,Erdos 010300,China;Xuhai College,China University of Mining and Technology,Xuzhou 221000,China)
机构地区:[1]中国华电内蒙古蒙泰不连沟煤业有限责任公司,内蒙古鄂尔多斯010300 [2]中国矿业大学徐海学院,江苏徐州221000
出 处:《无线互联科技》2023年第18期92-96,共5页Wireless Internet Technology
摘 要:当前人工智能技术日益发展,为了更好地减轻煤矿视频监控人员工作量,保障煤矿作业人员安全,减少事故发生,文章针对矿井人员劳动保护用品穿戴和危险场景侵入情况,设计了一种基于EasyDL平台的视频监测预警系统。此系统基于人工智能EasyDL平台,建立个人劳保穿戴、进入危险区域、处于运行中的移动设备两侧和攀、坐不安全位置的监测模型,识别煤矿工人的违章行为,及时记录并给出警示。预警系统应用结果表明,该系统能够较准确地识别违章行为并作出及时反馈,有助于保障煤矿作业人员的安全。With the increasing development of artificial intelligence technology,in order to better reduce the workload of coal mine video surveillance personnel,ensure the safety of coal mine operators,and reduce accidents,this article designs a video monitoring and warning system based on EasyDL platform to address the risk of hazardous scene intrusion caused by the wearing of labor protection equipment by coal mine personnel.This system is based on the artificial intelligence EasyDL platform,and establishes a monitoring model for personal labor protection wear,entry into hazardous areas,on both sides of mobile devices in operation,and unsafe climbing and sitting positions.It identifies some illegal behaviors of coal miners,timely records and provides warnings.The application results of the early warning system indicate that the system can accurately identify violations and provide timely feedback,which helps to further ensure the safety of coal mine operators.
分 类 号:TD79[矿业工程—矿井通风与安全]
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