【标题】Back to the Basics with Digital Manufacturing
【参考中译】数字制造回归基础
【类型】 期刊
【作者】 KYLE SALEEBY
【摘要】 MARKETING EFFORTS around artificial intelligence (AI) have become increasingly misleading, promising revolutionary advances for everyday tasks. It seems that a new product with a touchscreen and a cheap widget powered by an online chatbot is released daily. One could reasonably believe that a mobile phone attachment will be capable of autonomously scrambling eggs within the next quarter.
【参考中译】 围绕人工智能（AI）的营销努力变得越来越具有误导性，并有望为日常任务带来革命性的进步。似乎每天都会发布一款带有触摸屏和由在线聊天机器人支持的廉价小部件的新产品。人们可以合理地相信，手机附件将能够在下一个季度内自动炒鸡蛋。
【来源】 Manufacturing Engineering 2024, vol.173, no.2
【入库时间】 2024/11/20
【标题】Intelligent Manufacturing: Harnessing the Power of Artificial Intelligence for Product Design and Development
【参考中译】智能制造：利用人工智能的力量进行产品设计和开发
【类型】 会议
【关键词】 Artificial intelligence; Smart manufacturing; Optimization technologies; Generative design; CNC; Product design; Intelligent manufacturing
【参考中译】 人工智能;智能制造;优化技术;生成式设计; NC;产品设计;智能制造
【作者】 Lavepreet Singh; Mohit Singh; Akshat Soni
【摘要】 The field of computer science known as 'artificial intelligence' (AI) tries to teach machines to think like humans by teaching them to figure out complex issues, pick up new abilities on their own, and make sound judgements. Product designers have found artificial intelligence (AI) to be helpful when attempting to create one-of-a-kind items that meet a specific demand. Artificial intelligence has been used for anything from coming up with new ideas to mimicking actual human activities. Companies are increasingly turning to AI in the design phase of product development in order to speed up the introduction of innovative new goods. While conceptual models and engineering ideas have received more attention in the past, the focus is now on automation systems, data flow control, system integration, and optimization technologies. Modern information and production technologies, such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), cloud computing, digital twin, cyber-physical system, and many more have contributed to the rise of smart manufacturing. The purpose of this research was to further the growing area of smart manufacturing.
【参考中译】 被称为人工智能(AI)的计算机科学领域试图教会机器像人类一样思考，教它们解决复杂的问题，学习自己的新能力，并做出合理的判断。产品设计师发现，人工智能(AI)在试图创造满足特定需求的独一无二的产品时很有帮助。从提出新想法到模仿人类实际活动，人工智能已被用于任何领域。企业越来越多地在产品开发的设计阶段转向人工智能，以加快创新新品的推出。虽然概念模型和工程思想在过去得到了更多的关注，但现在的重点是自动化系统、数据流控制、系统集成和优化技术。物联网(IoT)、大数据分析、人工智能(AI)、云计算、数字孪生、网络物理系统等现代信息和生产技术推动了智能制造的兴起。这项研究的目的是促进智能制造日益增长的领域。
【来源】 Advances in Manufacturing and Materials - Select Proceedings of FLUTE 2023 2nd Biennial International Symposium on Fluids and Thermal Engineering (FLUTE 2023)
【标题】Industrial IoT Platforms Enabling Industry 4.0 Digitization Towards Industry 5.0
【参考中译】工业物联网平台实现工业4.0数字化迈向工业5.0
【关键词】 Industry 4.0; Industry 5.0; Cyber physical systems; IIoT; Automation; RAMI 4.0; AWS
【参考中译】 工业4.0;工业5.0;网络物理系统;工业物联网;自动化; RAMI 4.0; AWS
【作者】 Pedro M. B. Torres; Geoffrey Spencer; Pedro Lopes; Francisco Santos
【摘要】 This research paper explores the evolution of Industrial Internet of Things (IIoT) platforms and their pivotal role in the digitization of Industry 4.0, as well as their contribution to the transition towards Industry 5.0. The characteristics, challenges and opportunities of these platforms will be addressed, highlighting their impact on the digital transformation of industrial operations. Two case studies are unveiled, showcasing the implementation of IIoT platforms. These platforms leverage cutting-edge technology, notably from the AWS (Amazon Web Services) ecosystem, enabling the development of solutions grounded in the three pillars of Industry 5.0: human-centered design, sustainability, and resilience. Through these case studies, its aim to illustrate how the integration of AWS technologies contributes to the realization of Industry 5.0 principles, emphasizing a focus on human-centric approaches, sustainable practices, and resilient industrial systems.
【参考中译】 本研究论文探讨了工业物联网（IIoT）平台的演变及其在工业4.0数字化中的关键作用，以及它们对向工业5.0转型的贡献。这些平台的特征、挑战和机遇将得到解决，突出它们对工业运营数字化转型的影响。公布了两个案例研究，展示了IIoT平台的实施。这些平台利用尖端技术，特别是来自AWS（亚马逊网络服务）生态系统的技术，能够开发基于工业5.0三大支柱的解决方案：以人为本的设计、可持续发展和弹性。通过这些案例研究，旨在说明AWS技术的集成如何有助于实现工业5.0原则，强调关注以人为本的方法、可持续实践和弹性工业系统。
【来源】 Innovations in Mechatronics Engineering III 3rd International Scientific Conference on Innovation in Engineering (ICIE 2024)