Ir al contenido

Documat


Arquitectura de referencia para el diseño y desarrollo de aplicaciones para la Industria 4.0

  • Dintén, R. [1] ; López Martínez, P. [1] ; Zorrilla, M. [1]
    1. [1] Universidad de Cantabria

      Universidad de Cantabria

      Santander, España

  • Localización: Revista iberoamericana de automática e informática industrial ( RIAI ), ISSN-e 1697-7920, Vol. 18, Nº. 3, 2021, págs. 300-311
  • Idioma: español
  • DOI: 10.4995/riai.2021.14532
  • Títulos paralelos:
    • Reference architecture for the design and development of applications for Industry 4.0
  • Enlaces
  • Resumen
    • español

      La implementación práctica de la Industria 4.0 requiere la reformulación y coordinación de los procesos industriales. Para ello se requiere disponer de una plataforma digital que integre y facilite la comunicación e interacción entre los elementos implicados en la cadena de valor. Actualmente no existe una arquitectura de referencia (modelo) que ayude a las organizaciones a concebir, diseñar e implantar esta plataforma digital. Este trabajo proporciona ese marco e incluye un metamodelo que recoge la descripción de todos los elementos involucrados en la plataforma digital (datos, recursos, aplicaciones y monitorización), así como la información necesaria para configurar, desplegar y ejecutar aplicaciones en ella. Asimismo, se proporciona una herramienta compatible con el metamodelo que automatiza la generación de archivos de configuración y lanzamiento y su correspondiente transferencia y ejecución en los nodos de la plataforma. Por último, se muestra la flexibilidad, extensibilidad y validez de la arquitectura y artefactos software construidos a través de su aplicación en un caso de estudio.

    • English

      The real implementation of Industry 4.0 requires the reformulation and coordination of industrial processes. This requires defining a digital platform that integrates and facilitates communication and interaction between all elements involved in the value chain. There is currently no reference architecture (model) that helps organizations conceive, design and build this digital platform. This work provides a framework and includes a metamodel that describes the main elements involved in the digital platform (data, resources, applications and monitoring), as well as the information needed to configure, deploy and run applications on it. In addition, a tool conformed with this metamodel is provided. This automates the generation of configuration and launch files and their corresponding sending and execution on the platform nodes. Finally, the flexibility, extensibility and validity of the architecture and software artifacts built are shown through its application on a case study.

  • Referencias bibliográficas
    • Ahmad, S., Badwelan, A., Ghaleb, A. M., Qamhan, A., Sharaf, M. Analyzing critical failures in a production process: is industrial iot the...
    • Alcácer, V., Cruz-Machado, V. Scanning the industry 4.0: A literature review on technologies for manufacturing systems, Engineering Science...
    • Angulo, P., Guzmán, C. C., Jiménez, G., Romero, D. A service-oriented architecture and its ict-infrastructure to support eco-efficiency performance...
    • Arantes, M., Bonnard, R., Mattei, A. P., Saqui-Sannes, P. de. General architecture for data analysis in industry 4.0 using sysml and model...
    • Arantes, M., Bonnard, R., Mattei, A. P., Saqui-Sannes, P. de. General architecture for data analysis in industry 4.0 using sysml and model...
    • The apache avro project: a data serialization system, http://avro. apache.org (accessed 30 April 2019).
    • Apache Cassandra., http://cassandra.apache.org/ (accessed 30 April 2019).
    • Apache Kafka project: A distributed streaming platform, http://kafka. apache.org/ (accessed 30 April 2019). The Apache Software Foundation,...
    • Apache Spark: A fast and general engine for large-scale data processing, http://spark.apache.org/ (accessed 30 Dec 2019).
    • Apache Storm: A fast and general engine for large-scale data processing, https://storm.apache.org/ (accessed 30 Dec 2019) Apache Zookeeper.,...
    • Apache Zookeeper., https://zookeeper.apache.org/ (accessed 30 April 2019).
    • Belman-López, C., Jiménez-García, J., & Hernández-González, S. (2020). Análisis exhaustivo de los principios de diseño en el contexto...
    • Chen, Y., Feng, Q., Shi, W. An industrial robot system based on edge computing: An early experience, in: USENIX Workshop on Hot Topics in...
    • Díaz, G., Macià, H., Valero, V., Boubeta-Puig, J., Cuartero, F, An Intelligent Transportation System to control air pollution and road traffic...
    • Empowering app development for developers | Docker, https://www.docker.com/ (accessed 28 September 2020)
    • Ghobakhloo, M. The future of manufacturing industry: a strategic roadmap toward industry 4.0, Journal of Manufacturing Technology Management...
    • Guerriero, M., Tajfar, S., Tamburri, D. A., Di Nitto, E. Towards a model- driven design tool for big data architectures, in: Proceedings of...
    • Hermann, M., Pentek, T., Otto, B. Design principles for industrie 4.0 scenarios, in: 2016 49th Hawaii International Conference on System Sciences...
    • I. I. Consortium, Industrial internet reference architecture v1.9, http://www.iiconsortium.org/IIRA.htm, accessed 30 April 2019 (2019).
    • Junqueira. F., Reed B., ZooKeeper: Distributed process Coordination, O,Reilly, 2014.
    • Kubernetes., https://kubernetes.io/ (accessed 18 Decemeber 2020)
    • Marino F., Seitanidis I., Dao P., Bocchino S., Castoldi P., Salvadori C. IoT enabling PI: towards hyperconnected and interoperable smart containers,...
    • Pérez-Palacín, D., Merseguer, J., Requeno, J. I., Guerriero, M., Di Nitto, E., Tamburri, D. A. A uml profile for the design, quality assessment...
    • Petrasch, R., Hentschke, R. Process modeling for industry 4.0 applications: Towards an industry 4.0 process modeling language and method,...
    • RAMI 4.0, Reference architectural model industrie 4.0, https://www. plattform-i40.de/PI40/Redaktion/EN/Downloads/Publikation/rami40-an-introduction.html,...
    • Prometheus exporters, https://github.com/prometheus/node_exporter (accessed 30 April 2019).
    • Prometheus overview, https://prometheus.io/docs/introduction/overview/ (accessed 30 April 2019).
    • RAI4 deployment tool and metamodel, https://github.com/istr-uc/RAI4DeploymentTool (accessed 20 July 2020).
    • Rajbhoj, A., Kulkarni, V., Bellarykar, N. Early experience with model-driven development of mapreduce based big data application, in: 2014...
    • Raptis, T. P., Passarella, A., Conti, M. Data management in industry 4.0: State of the art and open challenges, IEEE Access 7 (2019) 97052-97093....
    • Reza Delavar, M., Gholami, A., Reza Shiran, G., Rashidi, Y., Reza Nakhaeizadeh, G., Kurt Freda, Smaeil Hatefi Afshar, "A Novel Method...
    • Sahal, R., Breslin, J. G., Ali, M. I. Big data and stream processing platforms for industry 4.0 requirements mapping for a predictive maintenance...
    • Salkin, C., Oner, M., Ustundag, A., Cevikcan, E. A Conceptual Framework for Industry 4.0, Springer International Publishing, Cham, 2018, pp....
    • Thoben, K.-D., Wiesner, S., Wuest, T. "industrie 4.0" and smart manufacturing - a review of research issues and application examples,...
    • Ungurean, I., Gaitan, N.C. A Software Architecture for the Industrial Internet of Things-A Conceptual Model, Sensors 2020, 20, 5603. https://doi.org/10.3390/s20195603
    • Velásquez, N., Estevez, E., Pesado, P. Cloud computing, big data and the industry 4.0 reference architectures, Journal of Computer Science...
    • Wiesner, S., Thoben, K.-D. Requirements for models, methods and tools supporting servitisation of products in manufacturing service ecosystems,...
    • Wingerath, W., Gessert, F., Friedrich, S., Ritter, N. "Real-time stream processing for big data", Information Technology 4 (58) (2016)...
    • Wortmann, A., Combemale, B., Barais, O. A systematic mapping study on modeling for industry 4.0, in: 2017 ACM/IEEE 20th International Conference...
    • Yebenes, J., Zorrilla, M. Towards a data governance framework for third generation platforms, Procedia Computer Science The 2nd International...
    • Zhong, R. Y., Xu, X., Klotz, E., Newman, S. T. Intelligent manufacturing in the context of industry 4.0: A review, Engineering 3 (5) (2017)...
    • Zorrilla, M. E., Ibrain, Á. Bernard, an energy intelligent system for raising residential users awareness, Computers & Industrial Engineering...

Fundación Dialnet

Mi Documat

Opciones de artículo

Opciones de compartir

Opciones de entorno