Design and implementation of"intelligent safety supervision"system in coal mine
Coal mine safety supervision and inspection is the daily supervision and management of coal mine safety produc-tion,aiming at timely finding hidden dangers of accidents and urging elimination.The traditional coal mine inspection mode is the combination of video surveillance system and manual inspection,and the identification of hidden dangers relies on manual naked eye detection,which is time-consuming and laborious,and can not realize automatic identification and early warning,can not meet the new requirements of coal mine safety supervision under the current intelligent background.Therefore,on the basis of intelligent mine,the architecture of intelligent mine safety monitoring system based on advanced technologies such as deep learning,cloud com-puting and Internet of Things is discussed.The use of deep learning technology to automatically identify and analyze unsafe behav-iors,states and factors in videos,24-hour intelligent supervision,greatly reducing the work burden of monitoring personnel,to achieve active,accurate and real-time monitoring requirements,and to achieve perceptive,early-warning,traceable and manageable safety supervision in the process of mine production management.Reduce false positives or omissions caused by human factors.
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