期刊
IEEE COMPUTER GRAPHICS AND APPLICATIONS
卷 42, 期 2, 页码 21-32出版社
IEEE COMPUTER SOC
DOI: 10.1109/MCG.2022.3156846
关键词
-
资金
- FWF as part of the SoniVis project [P33531-N]
- Land NO via the project Dataskop [K3-F-2/015-2019]
- BMK
- BMDW
- Styria
- SFG
- Tyrol
- Vienna Business Agency [879730]
- EC H2020 programme [768892]
- H2020 Societal Challenges Programme [768892] Funding Source: H2020 Societal Challenges Programme
The rise of Industry 4.0 and cyber-physical systems has led to a large amount of data, and visualization and visual analytics are essential in utilizing this data. However, there are challenges in applying visualization techniques that need to be addressed from both the manufacturing industry and visualization research perspectives.
The rise of Industry 4.0 and cyber-physical systems has led to an abundance of large amounts of data, particularly in the manufacturing industry. Visualization and visual analytics play essential roles in harnessing this data. They have already been acknowledged as being among the key enabling technologies in the fourth industrial revolution. However, there are many challenges attached to applying visualization successfully, both from the manufacturing industry and visualization research perspectives. As members of research institutions involved in several applied research projects dealing with visualization in manufacturing, we characterized and analyzed our experiences for a detailed qualitative view, to distill important lessons learned, and to identify research gaps. With this article, we aim to provide added value and guidance for both manufacturing engineers and visualization researchers to avoid pitfalls and make such interdisciplinary endeavors more successful.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据