The invention discloses a digital twinning intelligent
monitoring system for an unmanned fully mechanized excavation face of a mine. The
system is composed of a
physical entity, a digital twinning body, an
intrinsic safety type intelligent gateway, a
cloud server, a
cloud database, an
intrinsic safety type 5G
base station, a
machine vision device, a
communication interface, a
network switch and avideo display terminal. According to the method, a digital twinning model is constructed, and
perception analysis, analogue
simulation, iterative optimization and
decision control are carried out by utilizing a
deep learning algorithm based on
machine vision and edge calculation; based on data twinning and data driving, real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote
physical space mine unmanned fully mechanized excavation face are achieved through the
virtual space digital twinning unmanned fully mechanized excavation face. According to theinvention, the problems of non-uniform communication interfaces, weak equipment integration capability, poor
video monitoring real-time performance, fuzzy video images and the like of the existing
monitoring system are solved, and the real-time performance, accuracy and robustness of the intelligent
monitoring system for the unmanned fully mechanized excavation face of the mine are improved.