Search
Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0
Abstract
Industry 4.0 offers a comprehensive, interlinked, and holistic approach to manufacturing. It connects physical with digital and allows for better collaboration and access across departments, partners, vendors, product, and people. Consequently, it involves complex designing of highly specialized state of the art technologies. Thus, companies face formidable challenges in the adoption of these new technologies. In this paper, critical components of Industry 4.0, their significance and challenges as identified in the literature are presented. Furthermore, a test case framework for the implementation of Industry 4.0 is proposed. The system covers four layers: decision support, data processing, data acquisition and transmission and sensors. Condition monitoring data from machines and shop floor are captured, stored, organized and visualized in real time. Knowledge representation technique of SOEKS/DDNA is used for doing the semantic analysis of the data, Virtual Engineering Object (VEO), Virtual Engineering Process (VEP) a nd Virtual Engineering Factory (VEF) are used for creating virtual engineering objects, process and factory respectively, Python and its utility Bokeh is used for visualization. The proposed Industry 4.0 framework will make it possible to gather and analyze data across machines, processes and resources supporting faster, flexible, and more efficient control and production of higher-quality goods at reduced costs.
Citations
-
1 2
CrossRef
-
0
Web of Science
-
1 3
Scopus
Authors (3)
-
Syed Imran Shafiq
-
Cesar Sanin
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
-
open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Procedia Computer Science
no. 159,
pages 1976 - 1985,
ISSN: 1877-0509 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Shafiq S., Szczerbicki E., Sanin C.: Proposition of the methodology for Data Acquisition, Analysis and Visualization in support of Industry 4.0// Procedia Computer Science -Vol. 159, (2019), s.1976-1985
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.procs.2019.09.370
- Verified by:
- Gdańsk University of Technology
seen 112 times
Recommended for you
Decisional DNA (DDNA) Based Machine Monitoring and Total Productive Maintenance in Industry 4.0 Framework
- S. I. Shafiq,
- C. Sanin,
- E. Szczerbicki
Knowledge-Based Virtual Modeling and Simulation of Manufacturing Processes for Industry 4.0
- S. I. Shafiq,
- C. Sanin,
- E. Szczerbicki
Manufacturing Data Analysis in Internet of Things/Internet of Data (IoT/IoD) Scenario
- E. Szczerbicki,
- S. I. Shafiq,
- C. Sanin