Asset Administration Shell in Manufacturing: Case Study in Manaus Industrial Complex

In this work, conducted by three partners, UFAM/CETELI, INDT and Envision (TPV Group), we present a system for modeling and sensing data acquired from various machines, including both legacy and modern types, in industrial environments. This approach involves monitoring the on-off state of machines...

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Bibliographic Details
Main Authors: Linhares, Jose E.B.S., Torres, Gustavo M., Uchoa, Matheus S., Santos, Adriel V., Valadao, Myke D.M., Amoedo, Diego A., Araujo Souza, Maria Regina, Mattos, Edma V. C.U., Pereira, Antonio M.C., Silva, Agemilson P., Brito, Allan C., Silva, Allan R. A., S.F., Romulo, Nunes, Jean A. O., Lemos, Madson R., Costa, Maura R. A., Junior, Waldir S.S., Carvalho, Celso B.
Format: Conference Proceeding
Language:English
Subjects:
Asset Administration Shell (AAS)
Data models
MQTT
Predictive models
Production
Pumps
Real-time systems
Reference Architectural Model for Industrie 4.0 (RAMI 4.0)
Solid modeling
Vacuum systems
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Summary:In this work, conducted by three partners, UFAM/CETELI, INDT and Envision (TPV Group), we present a system for modeling and sensing data acquired from various machines, including both legacy and modern types, in industrial environments. This approach involves monitoring the on-off state of machines to gather information about their operation on the production line. The results show the successful implementation of the system, highlighting its potential application in predictive maintenance solutions within the context of Industry 4.0.
ISSN:2575-8284
DOI:10.1109/ICCE-Taiwan62264.2024.10674616