Research on application of visual monitoring and machine learning in subway tunnel automatic monitoring
There are many hidden dangers during the construction of subway tunnels and foundation pits such as land subsidence,tunnel deformation and foundation pit collapse etc.,which seriously threaten the safety of construc-tion personnel and smooth progress of the project.Automatic monitoring of subway tunnel,timely detection and ear-ly warning of safety hazards are urgently required.The development of visual monitoring and machine learning tech-nology in recent years has provide new possibility for automatic monitoring of subway tunnel and foundation pit.With the visual monitoring technology,real-time image information of construction sites can be obtained through de-vices such as cameras,so as to realize real-time monitoring of construction sites.With the machine learning technol-ogy,through the study and analysis of a large amount of data,the abnormal situation is automatically identified,so as to provide early warning of safety hazards.Research was conducted on the application of visual monitoring and machine learning in subway tunnel automatic monitoring.
万方数据
维普
