Abstract
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.
Highlights
The ANSI/ISA-95 standard was established to facilitate the integration of business functions and control systems in productive enterprises
From a general aspect, the work contributes to the development and implementation of industrial automation applications by bridging the gap between generic architectures and physical realizations through the use of container technologies, the concepts of microservices, and the decoupling of each microservice with a middleware based on the publish/subscribe pattern
We have presented a flexible, scalable, and robust framework based on software components, container technology, microservices, and the publish/subscribe paradigm
Summary
The ANSI/ISA-95 standard was established to facilitate the integration of business functions and control systems in productive enterprises. The applications of the fourth industrial revolution require great flexibility on the part of industrial cyber-physical systems (ICPS) to achieve optimal 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 [2,3,4,5]. This is easier to achieve with flat architectures based on services that allow horizontal interaction between components based on information
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