Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications

doi:10.1109/TIV.2024.3365997

CORC > 自动化研究所 > 中国科学院自动化研究所 > 复杂系统管理与控制国家重点实验室 > 先进控制与自动化团队

	Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications
	Chen, Long 1,2,3,4; Li, Yuchen 3,5,6; Silamu, Wushour 7; Li, Qingquan 8; Ge, Shirong 9; Wang, Fei-Yue 1,2
刊名	IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
	2024-03-01
卷号	9 期号:3 页码:4383-4393
关键词	Digital twins Fifth Industrial Revolution Industries Task analysis Production Ontologies Biological system modeling Mining 5.0 smart mining autonomous driving industry 5.0 architectures mining transportation trucks
ISSN号	2379-8858
DOI	10.1109/TIV.2024.3365997
通讯作者	Wang, Fei-Yue(feiyue@ieee.org)
英文摘要	The increasing importance of mineral resources in contemporary society is becoming more prominent, playing an indispensable and crucial role in the global economy. These resources not only provide essential raw materials for the global economic system but also play an irreplaceable role in supporting the development of modern industry, technology, and infrastructure. With the rapid development of intelligent technologies such as Industry 5.0 and advanced Large Language Models (LLMs), the mining industry is facing unprecedented opportunities and challenges. The development of smart mines has become a crucial direction for industry progress. This article aims to explore the strategic requirements for the development of smart mines by combining advanced products or technologies such as Chat-GPT (one of the successful applications of LLMs), digital twins, and scenario engineering. We propose a comprehensive architecture consisting of three different levels, the mining industrial Internet of Things (IoT) platform, mining operating systems, and foundation models. The systems and models empower the mining equipment for transportation. The architecture delivers a comprehensive solution that aligns perfectly with the demands of Industry 5.0. The application and validation outcomes of this intelligent solution showcase a noteworthy enhancement in mining efficiency and a reduction in safety risks, thereby laying a sturdy groundwork for the advent of Mining 5.0.
资助项目	National Key Research and Development Program of China
WOS关键词	INTELLIGENT VEHICLES
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:001214544700011
资助机构	National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/58414]
专题	自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者	Wang, Fei-Yue
作者单位	1.Chinese Acad Sci, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.WAYTOUS Inc, Beijing 100083, Peoples R China 4.Guangdong Lab Artificial Intelligence & Digital Ec, Shenzhen 518107, Peoples R China 5.BNU HKBU United Int Coll, Fac Sci & Technol, Zhuhai 519087, Peoples R China 6.Hong Kong Baptist Univ, Kowloon, Hong Kong 999077, Peoples R China 7.Xinjiang Univ, Sch Informat Sci & Engn, Urumqi 830046, Peoples R China 8.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen 518060, Peoples R China 9.China Univ Min & Technol Beijing, Sch Mech Elect & Informat Engn, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Chen, Long,Li, Yuchen,Silamu, Wushour,et al. Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(3):4383-4393.
APA	Chen, Long,Li, Yuchen,Silamu, Wushour,Li, Qingquan,Ge, Shirong,&Wang, Fei-Yue.(2024).Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(3),4383-4393.
MLA	Chen, Long,et al."Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.3(2024):4383-4393.