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WorldCist'17 - 5th World Conference on Information Systems and Technologies

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A Big Data Analytics Architecture for Industry 4.0

In an era in which people, devices, infrastructures and sensors can constantly communicate exchanging data and, also, generating new data that traces many of these exchanges, vast volumes of data is generated giving the context for the emergence of the Big Data concept. In particular, recent developments in Information and Communications Technology (ICT) are pushing the fourth industrial revolution, Industry 4.0, being data generated by several sources like machine controllers, sensors, manufacturing systems, among others. Joining the volume and variety of data, arriving at high velocity, with Industry 4.0, makes the opportunity to enhance sustainable innovation in the Factory of the future. In this, the collection, integration, storage, processing and analysis of data is a key challenge, being Big Data systems needed to link all the entities and data needs of the factory. In this context, this paper proposes a Big Data Analytics architecture that includes layers dedicated to deal with all data needs, from collection to analysis and distribution.

Author(s):

Maribel Yasmina Santos    
Algoritmi Center, University of Minho
Portugal

Jorge Oliveira e Sá    
Algoritmi Center, University of Minho
Portugal

Carlos Costa    
Algoritmi Center, University of Minho
Portugal

João Galvão    
Algoritmi Center, University of Minho
Portugal

Carina Andrade    
Algoritmi Center, University of Minho
Portugal

Bruno Martinho    
Algoritmi Center, University of Minho
Portugal

Francisca Vale Lima    
Algoritmi Center, University of Minho
Portugal

Eduarda Costa    
Algoritmi Center, University of Minho
Portugal

 

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