MATEC Web Conf.
Volume 318, 20207th International Conference of Materials and Manufacturing Engineering (ICMMEN 2020)
|Number of page(s)||6|
|Published online||14 August 2020|
A CPS platform oriented for Quality Assessment in welding
Laboratory for Manufacturing Systems & Automation, Department of Mechanical Engineering and Aeronautics, University of Patras, 26504 Patras, Greece
* Corresponding author: email@example.com
The major advantages of spot and seam welding are high speed and adaptability primarily for high-volume and/or high-rate manufacturing. However, this paradigm fails to meet the principles laid down by Industry 4.0 for real-time control towards Zero Defect Manufacturing for each individual product and intuitive technical assistance on the process parameters. In this paper, a Robust Software Platform oriented for a CPS-based Quality Assessment system for Welding is presented based on data derived from IR cameras. Imaging data are pre – processed in real-time and streamed into a module which utilizes Machine Learning algorithms to perform quality assessment. A database enables data archiving and post processing tasks along with an intuitive User Interface which provide visualization capabilities and Decision Support on the welding process parameters. The modules’ IoT-based communication is performed with 5C architecture and is in line with Web Services.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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