中文
相关论文

相关论文: Status and Future Prospects of the Standardization…

200 篇论文

In the way towards Industry 4.0, the complexity of the industrial systems increases due to the presence of multiple agents, Cyber-Physical Systems, distributed sensing, and big data introducing unknown dynamics that affect the production…

信号处理 · 电气工程与系统科学 2020-07-09 Jairo Viola , YangQuan Chen

Digital Twin (DT) technology revolutionizes industrial processes by enabling the representation of physical entities and their dynamics to enhance productivity and operational efficiency. It has emerged as a vital enabling technology in the…

网络与互联网体系结构 · 计算机科学 2026-02-02 Eduardo Freitas , Assis T. de Oliveira Filho , Pedro R. X. do Carmo , Djamel Sadok , Judith Kelner

Progressive digitalization is changing the game of many industrial sectors. Focus-ing on product quality the main profitability driver of this so-called Industry 4.0 will be the horizontal integration of information over the complete supply…

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by…

计算工程、金融与科学 · 计算机科学 2022-10-03 Adam Thelen , Xiaoge Zhang , Olga Fink , Yan Lu , Sayan Ghosh , Byeng D. Youn , Michael D. Todd , Sankaran Mahadevan , Chao Hu , Zhen Hu

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…

人工智能 · 计算机科学 2021-04-08 Senthil Kumar Jagatheesaperumal , Mohamed Rahouti , Kashif Ahmad , Ala Al-Fuqaha , Mohsen Guizani

The digital twin has emerged as a technology to predict the undesirables, and ensure desired performance of complex systems. Although digital twins have got attention in the manufacturing research spectrum, yet their industrial application…

系统与控制 · 电气工程与系统科学 2021-04-08 Ali Ahmad Malik

In Industry 4.0, the digital twin is one of the emerging technologies, offering simulation abilities to predict, refine, and interpret conditions and operations, where it is crucial to emphasize a heightened concentration on the associated…

系统与控制 · 电气工程与系统科学 2024-12-19 Alexander D. Zemskov , Yao Fu , Runchao Li , Xufei Wang , Vispi Karkaria , Ying-Kuan Tsai , Wei Chen , Jianjing Zhang , Robert Gao , Jian Cao , Kenneth A. Loparo , Pan Li

Under the context of Industrie 4.0 (I4.0), future production systems provide balanced operations between manufacturing flexibility and efficiency, realized in an autonomous, horizontal, and decentralized item-level production control…

In manufacturing, many use cases of Industry 4.0 require vendor-neutral and machine-readable information models to describe, implement and execute resource functions. Such models have been researched under the terms capabilities and skills.…

Digital Twin technology is being envisioned to be an integral part of the industrial evolution in modern generation. With the rapid advancement in the Internet-of-Things (IoT) technology and increasing trend of automation, integration…

机器人学 · 计算机科学 2022-09-27 Sabur Baidya , Sumit K. Das , Mohammad Helal Uddin , Chase Kosek , Chris Summers

Industry 4.0 is becoming more and more important for manufacturers as the developments in the area of Internet of Things advance. Another technology gaining more attention is data stream processing systems. Although such streaming…

数据库 · 计算机科学 2020-07-20 Guenter Hesse , Werner Sinzig , Christoph Matthies , Matthias Uflacker

As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented attention because of its promise to further optimize process design, quality control, health monitoring, decision and policy making, and more, by…

In this position paper, we explore the socio-technical interplay of Industry 4.0. Industry 4.0 is an industrial plan that aims at automating the production process by the adoption of advanced leading-edge technologies down the assembly…

计算机与社会 · 计算机科学 2021-01-15 Emanuele Gabriel Margherita , Alessio Maria Braccini

In the era of Industry 4.0, system reliability engineering faces both challenges and opportunities. On the one hand, the complexity of cyber-physical systems, the integration of novel numerical technologies, and the handling of large…

Digital Twin (DT) has gained great interest as an innovative technology in Industry 4.0 that enables advanced modeling, simulation, and optimization of service and manufacturing systems. This article provides an extensive review of the…

综合数学 · 数学 2026-01-26 Sarow Saeedi

The transformation to Industry 4.0 also transforms the processes of how we develop intelligent manufacturing production systems. To advance the software development of these new (embedded) software systems, digital twins may be employed.…

软件工程 · 计算机科学 2024-05-30 Alexander Barbie , Wilhelm Hasselbring

The potential of digital twin technology is yet to be fully realized due to its diversity and untapped potential. Digital twins enable systems' analysis, design, optimization, and evolution to be performed digitally or in conjunction with a…

Industry 4.0 is a concept devised for improving the way modern factories operate through the use of some of the latest technologies, like the ones used for creating Industrial Internet of Things (IIoT), robotics or Big Data applications.…

分布式、并行与集群计算 · 计算机科学 2024-02-02 Tiago M. Fernandez-Carames , Paula Fraga-Lamas

Industry 4.0, or Digital Manufacturing, is a vision of inter-connected services to facilitate innovation in the manufacturing sector. A fundamental requirement of innovation is the ability to be able to visualise manufacturing data, in…

计算机与社会 · 计算机科学 2017-10-12 Richard Hill , James Devitt , Ashiq Anjum , Muhammad Ali

Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the…

计算机与社会 · 计算机科学 2020-06-19 Aidan Fuller , Zhong Fan , Charles Day , Chris Barlow
‹ 上一页 1 2 3 10 下一页 ›