AR与深度学习技术在工程现场安全排查中的应用  

Application of AR and Deep Learning Technologies in Safety Inspection of Engineering Sites

作　　者：傅远雄 李秀峰 李奎 安彪 何晓科 FU Yuanxiong;LI Xiufeng;LI Kui;AN Biao;HE Xiaoke(Beijing Jingneng International Energy Technology Co.,Ltd.,Beijing 100041,China)

机构地区：[1]北京京能国际能源技术有限公司,北京100041

出　　处：《集成电路应用》2024年第10期55-57,共3页Application of IC

摘　　要：阐述通过应用AR设备的智能功能和深度学习技术,可以实现工程现场实时隐患定位、个性化处理建议和整改追踪等功能。AR设备通过实时感知环境并利用深度学习算法进行智能分析,可以准确识别潜在的安全隐患,并提供处理建议。而整改过程的追踪和监控也可以借助AR设备进行实时记录和反馈。This paper describes that by combining the intelligent functions of AR devices with deep learning technology,real-time hazard location,personalized processing suggestions,and rectification tracking can be achieved on engineering sites.AR devices can accurately identify potential security risks and provide processing suggestions by perceiving the environment in real-time and using deep learning algorithms for intelligent analysis.The tracking and monitoring of the rectification process can also be achieved through AR devices for real-time recording and feedback.

关 键 词：AR设备 智能技术 深度学习 工程现场安全管理 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术] TU714[建筑科学—建筑技术科学]