Towards an Architectural Design Framework for Data Management in Industry 4.0

Eduardo A. Hinojosa-Palafox, Oscar M. Rodriguez-Elias, Jose A. Hoyo-Montano, Jesus H. Pacheco-Ramirez

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

Resumen

This paper describes data management architecture for industries 4.0. The main contribution was the framework design of a platform that will support the integration from industrial Cyber-Physical Systems (iCFS), the demanding IoT environment, and communications with the cloud. The aim of such a platform will be allowing modeling of data elements, predictive functions, inference of the Key-Performance Indicators, and real-time analysis. We adopted an Attribute Driven Design (ADD) approach to architectural design that includes gathering requirements, from smart production planning, manufacturing process monitoring, and active preventive maintenance, repair and overhaul (MRO). We detail quality data management attributes and his constraints and concerns. The platform will be supporting both batch and stream data processing for the composition of data-driven events, optimization data services, embedded analytics, and analytics-based decision support. The deployed architecture view mapping across technologies and functional components covering all functional requirements, using technologies that are accessible under an open source license without any usage limitations.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
EditoresReyes Juarez-Ramirez, Carlos Alberto Fernandez y Fernandez, Samantha Paulina Jimenez Calleros, Alan David Ramirez-Noriega, Hector G. Perez-Gonzalez, Guillermo Licea Sandoval, Cesar Arturo Guerra-Garcia
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas191-200
Número de páginas10
ISBN (versión digital)9781728125244
DOI
EstadoPublicada - oct 2019
Evento7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019 - Mexico City, México
Duración: 23 oct 201925 oct 2019

Serie de la publicación

NombreProceedings - 2019 7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019

Conferencia

Conferencia7th International Conference in Software Engineering Research and Innovation, CONISOFT 2019
País/TerritorioMéxico
CiudadMexico City
Período23/10/1925/10/19

Nota bibliográfica

Publisher Copyright:
© 2019 IEEE.

Huella

Profundice en los temas de investigación de 'Towards an Architectural Design Framework for Data Management in Industry 4.0'. En conjunto forman una huella única.

Citar esto