摘要
针对掘进工作面装备智能化程度偏低、作业人员劳动强度大的问题,基于人工智能视频识别与预警等方面的技术,以晋能控股煤业集团云冈矿掘进工作面作业管理规范化为目标,引入人工智能(AI)技术实现流程管理,利用目标检测、目标跟踪和动作检测等算法,对掘进作业进行智能监控,助力煤矿作业更加安全高效。
Aiming at the problem of low intelligence of excavation face equipment and high labor intensity of operators,based on artificial intelligence video recognition and early warning technology,with the goal of standardizing the operation management of tunneling face in Yungang Mine of Jinneng Holding Coal Industry Group,artificial intelligence(AI)technology is introduced to realize process management,and algorithms such as target detection,target tracking and action detection are used to intelligently monitor excavation operations to help coal mine operations be safer and more efficient.
作者
司凯文
Si Kaiwen(Equipment Manufacturing of Jinneng Holding Group Co.,Ltd.,Jincheng Shanxi 048006)
出处
《晋控科学技术》
2023年第2期34-36,40,共4页
Jinneng Holding Science and Technology
关键词
人工智能
掘进作业
视频分析
安全生产
Artificial intelligence
Driving operation
Video analysis
Safe production
