Big Data on Machine to Machine Integration’s Requirement Analysis Within Industry 4.0 - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Big Data on Machine to Machine Integration’s Requirement Analysis Within Industry 4.0

Résumé

One of the foundations for Industry 4.0 is the integration of various industrial elements (i.e. sensors, machines, and services) so that these devices can decide in a relatively autonomous way the level of integration which will be adopted. Thus, it is important to understand how the communication Machine to Machine is effectively realized and how these data can be explored and used to enhance the manufacturing process. The exchange of information between machines in the industrial process represents a potential to acquire and analyze a mass of data characterized as “big data”, which can be perceived as an opportunity to discuss the paradigms of the industrial systems. Therefore, the purpose of this research is to identify the requirements for the Machine to Machine communication and the use of this data/information for more complexes analyzes using big data and analytics techniques. The KAOS methodology was utilized to model these requirements.
Fichier principal
Vignette du fichier
483289_1_En_21_Chapter.pdf (315.19 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02295257 , version 1 (24-09-2019)

Licence

Paternité

Identifiants

Citer

Fabrício Junqueira, Paulo E. Miyagi, Felipe A. Coda, Rafael M. Salles, Henrique A. Vitoi, et al.. Big Data on Machine to Machine Integration’s Requirement Analysis Within Industry 4.0. 10th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2019, Costa de Caparica, Portugal. pp.247-254, ⟨10.1007/978-3-030-17771-3_21⟩. ⟨hal-02295257⟩
78 Consultations
30 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More