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

文献类型：期刊论文

作者Chen, Long1,2,3,4; Li, Yuchen3,5,6; Silamu, Wushour7; Li, Qingquan8; Ge, Shirong9; Wang, Fei-Yue1,2
刊名IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
出版日期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
DOI10.1109/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.
WOS关键词INTELLIGENT VEHICLES
资助项目National Key Research and Development Program of China
WOS研究方向Computer Science ; Engineering ; Transportation
语种英语
WOS记录号WOS:001214544700011
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Key Research and Development Program of China
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.

入库方式： OAI收割

来源：自动化研究所

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