Study on the Distributed Real-Time and Embedded System Middleware Based on the DDS

Ren, Hao; Jiao, Yan Ping

doi:10.4028/www.scientific.net/amr.433-440.7522

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Different publish/subscribe system approaches have been addressed depending on the application domain; one of them is the Data Distribution Service (DDS) specification, which is provided by the Object Management Group (OMG) [32], and allows developing distributed applications centered in the data, with asynchronous and decoupled communications requirements through the publish/subscribe architectural pattern. Some other works include the publish/subscribe paradigm via the Message Queue Telemetry Trans-port (MQTT) protocol [33,34], which allows to gather security and scalability; however, performance in some time constraints is difficult to make work with MQTT.…”

Section: Related Workmentioning

confidence: 99%

Software Components for Smart Industry Based on Microservices: A Case Study in pH Control Process for the Beverage Industry

et al. 2021

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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.

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Section: Related Workmentioning

confidence: 99%

Software Components for Smart Industry Based on Microservices: A Case Study in pH Control Process for the Beverage Industry

et al. 2021

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Component-Based Microservices for Flexible and Scalable Automation of Industrial Bioprocesses

et al. 2021

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Industry 4.0 involves the digital transformation of the industry with the integration and digitization of all industrial processes that make up the value chain, which is characterized by adaptability, flexibility, and efficiency to meet the needs of customers in today's market. Therefore, the adaptations of the new bioprocess industry require a lot of flexibility to react quickly and constantly to market changes and to be able to offer more specialized, customized products with high operational efficiency. This paper presents a flexible, scalable, and robust framework based on software components, container technology, microservice concepts, and the publish/subscribe paradigm. This framework allows new components to be added or removed online, without the need for system reconfiguration, while maintaining temporal and functional constraints in industrial automation systems. The main objective of the framework proposed is the use of components based on microservices, allowing easy implementation, scalability, and fast maintenance, without losing or degrading the robustness from previous developments. Finally, the effectiveness of the proposed framework was verified in two case studies (1) a soursop soda making process is presented, with a fuzzy controller implemented to keep the pasteurizer output flow constant (UHT) and (2) an automatic storage tank selection and filling process with actuated valves to direct the fluid to the corresponding tank at the time to start the process. The results showed that the platform provided a high-fidelity design, analysis, and testing environment for the flow of cyber information and its effect on the physical operation in a beverage processing plant with high demand for flexibility, scalability, and robustness of its processes, as they were experimentally verified in a real production process.INDEX TERMS Industry 4.0, distributed industrial automation systems, interoperability, middleware, industrial cyber-physical systems.

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Study on the Distributed Real-Time and Embedded System Middleware Based on the DDS

Cited by 2 publications

References 2 publications

Software Components for Smart Industry Based on Microservices: A Case Study in pH Control Process for the Beverage Industry

Software Components for Smart Industry Based on Microservices: A Case Study in pH Control Process for the Beverage Industry

Component-Based Microservices for Flexible and Scalable Automation of Industrial Bioprocesses

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