摘要
针对矿山现场巡检环境复杂、作业人员经验不足、现场故障处理效率低等问题,提出基于增强现实(AR)技术、移动互联网技术和专家知识库的智能巡检远程协助系统。以AR头戴设备作为现场信息采集端,通过移动网络进行双向数据传偷,结合专家知识库和设备运行信息库,专家可远程协助现场进行设备问题定位分析及远程监督,从而有效提升巡检作业效率。
Aiming at the problems of complex inspection environment,inexperienced operators and low efficiency of on-site fault handling in mines,an intelligent inspection remote assistance system based on augmented reality(AR)technology,mobile Internet technology and expert knowledge base was proposed.The AR headwear device was used as the on-site information collection terminal and carried out twoway data transmission through the mobile network.Combined with the expert knowledge base and the equipment operation information base,experts can remotely assist the on-site equipment problem location analysis and remote supervision,thus effectively improving the efficiency of patrol inspection.
作者
戴万波
Dai Wanbo(China Coal Research Institute,Beijing,100013,China;Coal Mine Emergency Avoidance Technology and Equipment Engineering Research Center,Beijing 100013,China;Beijing Coal Mine Safety Engineering Technology Research Center,Beijing 100013,China)
出处
《煤矿机械》
2023年第5期190-193,共4页
Coal Mine Machinery
基金
煤炭科学技术研究院有限公司科技发展基金(2021CX-II-25)。
关键词
AR技术
专家知识库
智能巡检
远程协助
AR technology
expert knowledge base
intelligent patrol inspection
remote assistance
