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On Intelligent Mining With Parallel Intelligence

文献类型：期刊论文

作者Yang, Jianjian1; Huang, Qiankun1; Ge, Shirong1; Wang, Xiao2; Chen, Long3; Guo, Yinan1; Gui, Tianmu1
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期2023-10-01
卷号8期号:10页码:4296-4300
ISSN号2379-8858
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
DOI10.1109/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.
WOS关键词METAVERSES ; CPS
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
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.

入库方式： OAI收割

来源：自动化研究所

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