Eventos Anais de eventos
COBEM 2019
25th International Congress of Mechanical Engineering
Big Data Acquisition In Industry 4.0: A Discrete Event Modeling
Submission Author:
Felipe Alcarpe Coda , SP
Co-Authors:
Felipe Alcarpe Coda, Diolino José Santos Filho, Fabrício Junqueira, Paulo Miyagi
Presenter: Felipe Alcarpe Coda
doi://10.26678/ABCM.COBEM2019.COB2019-1880
Abstract
When examining the Industry 4.0, where it is expected an autonomous and high level of interaction among machines, connecting Cyber-Physical Systems (CPS) through the Internet of Things (IoT), the capacity to acquire and analyze the data (considered as “big data”) generated in this interaction is expected in order to improve all aspects of the production process. In this context, it is essential to comprehend the process of acquiring relevant data. The present paper proposes the modeling of a data acquisition system (DAQ) as a discrete event system, expressing all its pertinent characteristics. Thus, this paper introduces the use of a formal technique derived from Petri net (PN) called Production Flow Schema (PFS) as a procedure for the analysis and specification of the parts that comprise a data acquisition system.
Keywords
Big Data, Cyber-Physical Systems, Data acquisition, Production Flow Schema, industry 4.0
