| Title | Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications |
| Creator | |
| Date Issued | 2024-03-01 |
| Source Publication | IEEE Transactions on Intelligent Vehicles
 |
| Volume | 9Issue:3Pages:4383-4393 |
| Abstract | 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. |
| Keyword | architectures autonomous driving industry 5.0 Mining 5.0 mining transportation trucks smart mining |
| DOI | 10.1109/TIV.2024.3365997 |
| URL | View source |
| Language | 英语English |
| Scopus ID | 2-s2.0-85186065598 |
| Citation statistics | |
| Document Type | Journal article |
| Identifier | http://repository.uic.edu.cn/handle/39GCC9TT/11631 |
| Collection | Beijing Normal-Hong Kong Baptist University |
| Affiliation | 1.Chinese Academy of Sciences,State Key Lab. of Multimodal Artif. Intell. Syst. and the State Key Lab. of Mgmt. and Contr. for Complex Syst.,Beijing,100190,China 2.Waytous Inc.,Beijing,100083,China 3.Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ),Shenzhen,518107,China 4.BNU-HKBU United International College,Faculty of Science and Technology,Zhuhai,519087,China 5.Hong Kong Baptist University,Kowloon,SAR,999077,Hong Kong 6.Xinjiang University,School of Information Science and Engineering,Urumqi,830046,China 7.Shenzhen University,School of Architecture and Urban Planning,Shenzhen,518060,China 8.China University of Mining and Technology (Beijing),School of Mechanical Electronic and Information Engineering,Beijing,100083,China |
| Recommended Citation GB/T 7714 | Chen，Long,Li，Yuchen,Silamu，Wushouret 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. |
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