Research on mine video big data intelligent analysis and work safety monitoring platform
In order to realize the safety monitoring and supervision of modern large-scale mining production with whole time,whole process,and whole area coverage,an overall technical scheme integrating the geographic information technology,5G technology,3D mining area and equipment model,remote sensing and video monitoring,artificial intelligence and other infor-mation technologies was proposed,and the intelligent mine work safety monitoring system platform was designed collaborative-ly.The results show that based on the video big data intelligent analysis technology,the automatic detection algorithm of video target is selected,and the Mosaic-9 data augmentation,K-means clustering prior anchor box and loss function optimization of YOLOv5 algorithm are integrated,so as to realize the visual integration of video automatic recognition and monitoring functions such as helmet wearing,reflective clothing wearing and smoke fire in real scenes with virtual three-dimensional models,which can provide an analysis platform for realizing the all-weather intelligent visual supervision of mine safety.
object detectionmining safety supervisionYOLOv53D visualizationmonitoring system
NETL
NSTL
万方数据
维普
