Digital twinning intelligent monitoring system for unmanned fully mechanized excavation face of mine

Abstract

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.

Description

technical field [0001] The invention relates to a machine vision and digital twin technology for fully mechanized excavation working faces, belonging to the technical fields of artificial intelligence, Internet of Things and computer simulation, and in particular to a digital twin intelligent monitoring system for mine unmanned fully mechanized excavation working faces. Background technique [0002] In recent years, with the deep integration of mine unmanned mining and artificial intelligence and other information technologies, the rise and in-depth development of mine intelligent mining technology has been promoted. Therefore, it is of great significance to apply intelligent monitoring technology to fully mechanized excavation work for mine safety. [0003] The existing mine monitoring system adopts underground equipment-host computer-server-client architecture, mainly based on traditional configuration software and human-computer interaction interface to view sensor data f...

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Problems solved by technology

[0003] The existing mine monitoring system adopts underground equipment-host computer-server-client architecture, mainly based on traditional configuration software and human-computer interaction interface to view sensor data from a single device, and there are problems such as poor real-time monitoring, low visualization and intelligence

On the one hand, the harsh environment such as flour dust and water mist in mine mechanized excavation has a great impact on video images and communication signals, the monitoring image is not clear, and the signal transmission delay is large, so it is difficult to carry out real-time video monitoring of mine mechanized excavation working face, and it is difficult to visualize and intuitive Reflect the mine fully mechanized excavation working face environment, working condition and equipment operation status, as well as fault location and health prediction for equipment

On the other hand, the monitoring of existing mine bolter and other equipment mainly realizes data collection and communication by connecting with the host computer through RS485, CAN, MODBUS, PROFIBUS and other bus interfaces. Processing the information data and video images of on-site equipment, it is impossible to carry out three-dimensional visual real-time monitoring, precise positioning of equipment failures and health status prediction for fully mechanized excavation working faces, and it is difficult to realize holographic perception of physical space, production process and Real-time monitoring of performance, visualized 3D reproduction of virtual scenes

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