The invention discloses a digital twin intelligent
monitoring system and method for an unmanned fully mechanized
coal mining face of a mine. The
system for realizing the method is composed of a
physical entity, a digital twin body, an intelligent gateway, a
cloud server, a
cloud database, a 5G
base station, a
machine vision device, a
communication interface, a
network switch and a video terminal.According to the method, a digital twin model is constructed, and
perception analysis, analogue
simulation, iterative optimization and
decision control are carried out by using a convolutional networkdeep learning
algorithm based on a three-dimensional visual virtual scene; real-time monitoring, intelligent sensing, accurate positioning and health prediction of the remote
physical space mine unmanned fully mechanized
coal mining face are achieved through the
virtual space digital twin unmanned fully mechanized
coal mining face based on data twinning and data driving. The problems of non-uniform communication interfaces, weak equipment integration capability, poor
video monitoring image processing real-time performance and the like of the existing
monitoring system are solved, and the real-time performance, the accuracy and the robustness of the intelligent
monitoring system for the unmanned fully mechanized
coal mining face of the mine are improved.