摘要
煤矿斜井辅助运输过程中“行车不行人,行人不行车”始终是一个痛点难点问题,本文基于AI识别技术设计一种人员防闯入系统,应用于煤矿斜井轨道运输系统人员安全检测与监控,该系统可以有效解决煤矿斜井轨道运输巷道在运输工作中的人员误闯入,及时反馈至无极绳牵引车司机,获取人员位置,杜绝斜巷运输期间“行车行人”,将有效保障煤矿辅助运输的安全性和可靠性,对进一步提高煤矿安全生产保障水平,促进煤矿信息化、智能化发展具有重要意义。
In the process of auxiliary transportation of inclined shaft in coal mine,it is always a pain point and difficult problem that"driving is not good and pedestrians are not driving".This paper designs a personnel intrusion prevention system based on AI technology,which is applied to the personnel safety detection and monitoring of inclined shaft rail transportation system in coal mine.The system can effectively solve the problem of personnel intrusion in inclined shaft rail transportation roadway in coal mine,Timely feedback to the driver of endless rope tractor to obtain the position of personnel and eliminate"driving pedestrians"during inclined lane transportation will effectively improve the reliability of inclined lane transportation safety,which is of great significance to further improve the level of coal mine safety production guarantee and promote the development of coal mine informatization and intelligence.
作者
陈芳
CHEN Fang(Safety Supervision and Administration Bureau in Ningxia,Yinchuan 750000,China)
出处
《价值工程》
2021年第24期172-174,共3页
Value Engineering
关键词
AI识别
斜井轨道
人员闯入
安全
AI recognition
inclined shaft track
personnel break in
security
