Engineering and Technology

Autonomous mining through cooperative driving and operations enabled by parallel intelligence

L. Chen, Y. Xie, et al.

Discover an innovative autonomous mining framework developed by Long Chen, Yuting Xie, Yuhang He, Yunfeng Ai, Bin Tian, Lingxi Li, Shirong Ge, and Fei-Yue Wang. Utilizing self-evolving digital twins and virtual mining subsystems, this research has shown impressive results by enhancing safety and productivity across 30 mines and extracting over 30 million tons of minerals.

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Abstract

This paper proposes an autonomous mining framework based on parallel intelligence, using self-evolving digital twins to model and guide mining processes. The framework includes a virtual mining subsystem for low-cost training and testing, and has been successfully deployed in over 30 mines, extracting over 30 million tons of minerals while enhancing safety and productivity.

Publisher

Communications Engineering

Published On

May 31, 2024

Authors

Long Chen, Yuting Xie, Yuhang He, Yunfeng Ai, Bin Tian, Lingxi Li, Shirong Ge, Fei-Yue Wang

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