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On Intelligent Mining With Parallel Intelligence
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AI
DOI：10.1109/TIV.2023.3316132.png)
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Abstract
En 中文
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.
Keywords:
Data mining
Artificial intelligence
Task analysis
Industries
Production
Biology
Collaboration
Green mining
Industry 5.0
intelligent mining using parallel intelligence
Mining 5.0
mining MAPeM model
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