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.