计算机科学
矿业
数据科学
可持续发展
人力资源
知识管理
工程类
采矿工程
管理
法学
政治学
经济
作者
Jianjian Yang,Qiankun Huang,Shirong Ge,Xiao Wang,Long Chen,Yinan Guo,Tianmu Gui
出处
期刊:IEEE transactions on intelligent vehicles
[Institute of Electrical and Electronics Engineers]
日期:2023-09-18
卷期号:8 (10): 4296-4300
被引量:4
标识
DOI:10.1109/tiv.2023.3316132
摘要
The level of intelligence across various industries, including mining, has experienced a notable advancement since the introduction of Industry 4.0. However, the societal demands for employee well-being, resource conservation, and environmental preservation continues to be unavoidable challenges. Thus, the parallel system theory based Industry 5.0 is proposed, which augments industries with human-machine collaboration, virtual-real interaction and local-global balanced resources. In this letter, we proposed the concept of Mining 5.0. Mining 5.0 aims to realize green and sustainable development goals while prioritizing a human-centric perspective. This letter begins by elucidating the prerequisites, characteristics, and construction objectives of Mining 5.0. It then introduces the "4I", "5O" and "6S" concluded framework of "Intelligent Mining Using Parallel Intelligence" for achieving Mining 5.0. In the last part, the efforts made by Chinese mining research institutions and leading enterprises in the development of mining intelligence standards, and the practical application of parallel mining within the mining sector are outlined. This letter is a summary of recent Distributed/Decentralized Hybrid Workshop on Autonomous Mining (DHW-AM) and aims at enhancing the intelligence of future mining operations.
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