On Intelligent Mining With Parallel Intelligence

doi:10.1109/TIV.2023.3316132

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	On Intelligent Mining With Parallel Intelligence
	Yang, Jianjian 1; Huang, Qiankun 1; Ge, Shirong 1; Wang, Xiao 2; Chen, Long 3; Guo, Yinan 1; Gui, Tianmu 1
刊名	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
	2023-10-01
卷号	8 期号:10 页码:4296-4300
关键词	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
ISSN号	2379-8858
DOI	10.1109/TIV.2023.3316132
通讯作者	Yang, Jianjian(201318@cumt.edu.cn) ; Huang, Qiankun(bqt2300402012@student.cumtb.edu.cn)
英文摘要	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.
资助项目	Theory and Method of Excavation -Support-Anchor Parallel Control for Intelligent Excavation Complex System[52104169] ; National Key Research and Development Program of China[2022YFB4703703] ; Green, Intelligent, and Safe Mining of Coal Resources[52121003]
WOS关键词	METAVERSES ; CPS
WOS研究方向	Computer Science ; Engineering ; Transportation
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:001109113000003
资助机构	Theory and Method of Excavation -Support-Anchor Parallel Control for Intelligent Excavation Complex System ; National Key Research and Development Program of China ; Green, Intelligent, and Safe Mining of Coal Resources
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/55095]
专题	多模态人工智能系统全国重点实验室
通讯作者	Yang, Jianjian; Huang, Qiankun
作者单位	1.China Univ Min & Technol Beijing, Sch Mech Elect Engn, Beijing 100083, Peoples R China 2.Anhui Univ, Hefei 266114, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Yang, Jianjian,Huang, Qiankun,Ge, Shirong,et al. On Intelligent Mining With Parallel Intelligence[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2023,8(10):4296-4300.
APA	Yang, Jianjian.,Huang, Qiankun.,Ge, Shirong.,Wang, Xiao.,Chen, Long.,...&Gui, Tianmu.(2023).On Intelligent Mining With Parallel Intelligence.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,8(10),4296-4300.
MLA	Yang, Jianjian,et al."On Intelligent Mining With Parallel Intelligence".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 8.10(2023):4296-4300.