工业 5.0 中的自动驾驶智能采矿:架构、平台、操作系统、基础模型和应用

IF 14 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE IEEE Transactions on Intelligent Vehicles Pub Date : 2024-02-19 DOI:10.1109/TIV.2024.3365997
Long Chen;Yuchen Li;Wushour Silamu;Qingquan Li;Shirong Ge;Fei-Yue Wang
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引用次数: 0

摘要

矿产资源在当代社会中的重要性日益突出,在全球经济中发挥着不可或缺的关键作用。这些资源不仅为全球经济体系提供了不可或缺的原材料,而且在支持现代工业、技术和基础设施发展方面发挥着不可替代的作用。随着工业 5.0 等智能技术和先进的大型语言模型(LLM)的快速发展,采矿业正面临着前所未有的机遇和挑战。发展智能矿山已成为行业进步的重要方向。本文旨在结合 Chat-GPT(LLMs 的成功应用之一)、数字双胞胎和场景工程等先进产品或技术,探讨智能矿山发展的战略要求。我们提出了一个由采矿工业物联网(IoT)平台、采矿操作系统和基础模型三个不同层面组成的综合架构。这些系统和模型赋予采矿设备运输能力。该架构提供的综合解决方案完全符合工业 5.0 的要求。该智能解决方案的应用和验证结果表明,采矿效率显著提高,安全风险明显降低,从而为采矿 5.0 的到来奠定了坚实的基础。
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Smart Mining With Autonomous Driving in Industry 5.0: Architectures, Platforms, Operating Systems, Foundation Models, and Applications
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.
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来源期刊
IEEE Transactions on Intelligent Vehicles
IEEE Transactions on Intelligent Vehicles Mathematics-Control and Optimization
CiteScore
12.10
自引率
13.40%
发文量
177
期刊介绍: The IEEE Transactions on Intelligent Vehicles (T-IV) is a premier platform for publishing peer-reviewed articles that present innovative research concepts, application results, significant theoretical findings, and application case studies in the field of intelligent vehicles. With a particular emphasis on automated vehicles within roadway environments, T-IV aims to raise awareness of pressing research and application challenges. Our focus is on providing critical information to the intelligent vehicle community, serving as a dissemination vehicle for IEEE ITS Society members and others interested in learning about the state-of-the-art developments and progress in research and applications related to intelligent vehicles. Join us in advancing knowledge and innovation in this dynamic field.
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