The increasing need for economic, safe, and sustainable smart manufacturing combined with novel technological enablers, has paved the way for Artificial Intelligence (AI) and Big Data in support of smart manufacturing. This implies a substantial integration of AI, Industrial Internet of Things (IIoT), Robotics, Big data, Blockchain, 5G communications, in support of smart manufacturing and the dynamical processes in modern industries. In this paper, we provide a comprehensive overview of different aspects of AI and Big Data in Industry 4.0 with a particular focus on key applications, techniques, the concepts involved, key enabling technologies, challenges, and research perspective towards deployment of Industry 5.0. In detail, we highlight and analyze how the duo of AI and Big Data is helping in different applications of Industry 4.0. We also highlight key challenges in a successful deployment of AI and Big Data methods in smart industries with a particular emphasis on data-related issues, such as availability, bias, auditing, management, interpretability, communication, and different adversarial attacks and security issues. In a nutshell, we have explored the significance of AI and Big data towards Industry 4.0 applications through panoramic reviews and discussions. We believe, this work will provide a baseline for future research in the domain.
翻译:对经济、安全和可持续智能制造的日益需求,加上新的技术促进因素,为人工智能和大数据支持智能制造铺平了道路,这意味着将AI、物业工业互联网(IIoT)、机器人、大数据、链链、5G通信进行大量整合,以支持智能制造和现代工业的动态过程。在本文件中,我们全面概述了AI和大数据工业4.0的不同方面,特别侧重于关键应用、技术、所涉概念、关键赋能技术、挑战和研究视角,以部署工业5.0。我们详细强调并分析AI和大数据对工业的不同应用有何帮助。我们还着重指出了在智能工业成功应用AI和大数据方法方面面临的主要挑战,特别强调与数据有关的问题,如可得性、偏差、审计、管理、解释性、通信以及不同的对抗性攻击和安全问题。我们从一个坚果中探讨了AI和大数据对工业4.0应用的重要性。我们通过全局审查和讨论来探讨和讨论,为未来研究领域提供一个基线。我们相信,这项工作将为未来研究提供基础。