Digital twinning evolution mechanism and method for intelligent mine scene

Abstract

The invention discloses a digital twinning evolution mechanism and method for an intelligent mine scene, the digital twinning is formed by mutual coupling and evolution integration of a physical model, a logic model, a simulation model and a data model, and the method comprises the following steps: (1) defining the physical model; (2) representing the logic model; (3) establishing a simulation model; (4) optimizing the simulation model; (5) verifying the simulation model; (6) constructing a data model; and (7) performing digital twinning integration. According to the invention, by constructinga digital twinning model, data mirroring and information interaction between a digital twinning body and a physical entity are realized, and object twinning, process twinning and performance twinningof the physical entity and a virtual space digital twinning body are realized; according to the invention, through a digital twinning evolution mechanism and method, remote visual monitoring of a physical space intelligent mine scene is realized in a virtual space intelligent mine scene, and intelligent perception, real-time monitoring, accurate positioning and health prediction are carried out on mine application scene equipment.

Description

Technical field [0001] The invention relates to a digital twin technology for intelligent mines, which belongs to the technical fields of machine vision, computer simulation and Internet of Things, and specifically relates to the evolution mechanism and method of digital twins for intelligent mine scenarios. Background technique [0002] Currently, digital twin technology is widely used in intelligent manufacturing and virtual production workshops, and is gradually developing from digital to intelligent and intelligent. The deep integration of unmanned mining in mines and information technologies such as machine learning has accelerated the rise and in-depth development of intelligent mining technology in mines. Digital twin technology has the characteristics of model visualization, logic controllability and data computation of virtual model construction. It is widely used in industrial intelligent manufacturing and virtual production scenarios. With the continuous promotio...

AI Technical Summary

Problems solved by technology

[0003] Existing mine application scenarios adopt virtual reality simulation technology such as VR or AR. The physical model and virtual simulation data are not synchronized. The simulation model has weak self-learning and self-optimization capabilities, lacks computability and information interaction capabilities, and cannot be applied to intelligent mines Intelligent perception, real-time monitoring, precise positioning and health prediction of scenarios and operating equipment

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