Molten Metal Hazards Monitoring and Early Warning System Based on Convolutional Neural Network

被引：0
|
作者：
Gao, Dong [1 ,2 ]
Sun, Enji [1 ]
Li, Zhongxue [2 ]
Chen, Youlong [2 ]
Li, Jun [1 ,2 ]
机构：
[1] China Acad Safety Sci & Technol, Ind Safety Inst, Beijing, Peoples R China
[2] Univ Sci & Technol Beijing, Civil & Resource Engn Inst, Beijing, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019) | 2019年
关键词：
convolutional neural network; image recognition; augmented reality; safety early warning; molten metal;
D O I：
10.1109/itnec.2019.8729497
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to ensure the safety of molten metal operation and improve the efficiency of monitoring and early warning, molten metal hazards monitoring and early warning system is proposed based on convolutional neural network algorithm. The system utilizes image recognition technology such as behavior analysis, object detection and scene recognition. It consists of five functional modules: real-time monitoring, safety inspection, safety early warning, emergency rescue and information management. Equipped with AR helmet, the system demonstrates a wide potential for application in the field of safety management.
引用
收藏
页码：895 / 899
页数：5
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