Software Components for Smart Industry Based on Microservices: A Case Study in pH Control Process for the Beverage Industry
| Autor: | Apolinar González-Potes, Diego Martinez-Castro, Patricia Balbastre, Héctor Serrano-Magaña, José Simó, Vrani Ibarra-Junquera |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Industry 4.0 Computer Networks and Communications Computer science Beverage industry lcsh:TK7800-8360 02 engineering and technology Microservices 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Implementation Flexibility (engineering) Automatic control Software components Industrial cyber physical systems business.industry Control automático lcsh:Electronics 020206 networking & telecommunications Edge computing Automation Manufacturing engineering 02.- Poner fin al hambre conseguir la seguridad alimentaria y una mejor nutrición y promover la agricultura sostenible ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES Hardware and Architecture Control and Systems Engineering Signal Processing Component-based software engineering Distributed parameter systems Design process Sistemas de parámetros distribuidos business Automatización industrial Distributed industrial automation systems |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname RED: Repositorio Educativo Digital UAO Universidad Autónoma de Occidente instacron:Universidad Autónoma de Occidente Electronics, Vol 10, Iss 763, p 763 (2021) Electronics Volume 10 Issue 7 |
| DOI: | 10.3390/electronics10070763 |
| Popis: | [EN] Modern industries require constant adaptation to new trends. Thus, they seek greater flexibility and agility to cope with disruptions, as well as to solve needs or meet the demand for growth. Therefore, smart industrial applications require a lot of flexibility to be able to react more quickly to continuous market changes, offer more personalized products, increase operational efficiency, and achieve optimum operating points that integrate the entire value chain of a process. This requires the capture of new data that are subsequently processed at different levels of the hierarchy of automation processes, with requirements and technologies according to each level. The result is a new challenge related to the addition of new functionalities in the processes and the interoperability between them. This paper proposes a distributed computational component-based framework that integrates communication, computation, and storage resources and real-time capabilities through container technology, microservices, and the publish/subscribe paradigm, as well as contributing to the development and implementation of industrial automation applications by bridging the gap between generic architectures and physical realizations. The main idea is to enable plug-and-play software components, from predefined components with their interrelationships, to achieve industrial applications without losing or degrading the robustness from previous developments. This paper presents the process of design and implementation with the proposed framework through the implementation of a complex pH control process, ranging from the simulation part to its scaling and implementation to an industrial level, showing the plug-and-play assembly from a definition of components with their relationships to the implementation process with the respective technologies involved. The effectiveness of the proposed framework was experimentally verified in a real production process, showing that the results scaled to an industrial scale comply with the simulated design process. A qualitative comparison with traditional industrial implementations, based on the implementation requirements, was carried out. The implementation was developed in the beverage production plant "Punta Delicia", located in Colima, Mexico. Finally, the results showed that the platform provided a high-fidelity design, analysis, and testing environment for cyber information flow and their effect on the physical operation of the pH control. This work has been supported by for research cooperation between Universidad de Colima (Mexico), Universidad Autonoma de Occidente (Colombia), Universitat Politecnica de Valencia (Spain) and the juice production plant Punta Delicia located in Colima, Mexico. |
| Databáze: | OpenAIRE |
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