| Issue |
E3S Web Conf.
Volume 532, 2024
Second International Conference of Applied Industrial Engineering: Intelligent Production Automation and its Sustainable Development (CIIA 2024)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 15 | |
| Section | Applied Technological Innovations for Sustainable Industrial Environments | |
| DOI | https://doi.org/10.1051/e3sconf/202453202004 | |
| Published online | 06 June 2024 | |
Optimizing Smart Factory Operations: A Methodological Approach to Industrial System Implementation based on OPC-UA
1 ESPOL Polytechnic University, Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil - Ecuador
2 Software Engineering Department, University of Granada, 18014, Granada, Spain
3 Abbott Laboratories, 18004, Granada, Spain
* Corresponding author: hvelesac@espol.edu.ec
The article presents a comprehensive methodology for deploying OPC-UA models as a standard communication protocol, emphasizing their key role in improving near real-time data exchange and operational efficiency within industrial systems. A case study centered on a continuous flow scale system within a grain factory that handles commodities such as corn, soybeans, and wheat, illustrates how OPC-UA significantly improves speed, precision, and consistency in weight measurements, thereby fostering a smarter and more sustainable agricultural future. The primary objective of the study is to provide a roadmap for the development of industrial system controls leveraging OPC-UA architecture. This involves delineating and implementing control modules based on OPC-UA, utilizing cost-effective solutions and high-level programming languages for creating servers and clients (e.g., Python, Java, Android, Node-RED). By seamlessly integrating UML-based design methodologies with OPC-UA, the article advocates for streamlined and standardized development processes, particularly within the scope of Industry 4.0-driven smart factories. The code is available at GitHub: https://github.com/hvelesaca/ OPC-UA-methodology, facilitating further research.
© The Authors, published by EDP Sciences, 2024
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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