Digital twin intelligent monitoring system for unmanned fully mechanized coal mining face of mine

Abstract

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.

Description

Technical field [0001] The invention relates to a machine vision, 5G communication and digital twin technology, belonging to the technical field of artificial intelligence, Internet of Things and computer simulation, and specifically relates to a digital twin intelligent monitoring system for an unmanned fully mechanized mining face of a mine. Background technique [0002] Coal is an important basic energy source in my country, and the coal-based energy structure will not change for a long time. In recent years, with the deep integration of unmanned mining and information technology, the rise and vigorous development of intelligent mining technology in mines has been accelerated. At the same time, modern mines using intensive production methods, through intelligent, safe and unmanned mining driven by technological innovation, aim to achieve unmanned, increased safety and efficiency in mine production. This puts forward higher requirements for the real-time, accuracy and reliabil...

AI Technical Summary

Problems solved by technology

Therefore, the existing monitoring system is not intuitive for the target monitoring of the underground working face, and the degree of intelligence is low. It is difficult to directly reflect the mine working face environment, working conditions, equipment operation status, fault location and health prediction through the visualized working face.

Moreover, in the existing mine monitoring technology, the data communication interfaces of various underground equipment mainly realize data collection and communication through MODBUS bus interface, PROFIBUS bus interface, CAN bus interface, RS485, TCP / UDP and HART communication protocols and host connections, The communication interface is not uniform, the flexibility of use is poor, it is difficult to integrate the field equipment, and the information data and video images of the field equipment cannot be processed in real time. The organic integration of man-machine-thing-environment in mine, big data mining and intelligent decision-making, as well as holographic perception of physical space of unmanned fully mechanized mining face, visual monitoring of production process and performance, dynamic 3D reproduction of virtual scene

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