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

• Published in: 2024 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) pp. 269 - 270
• 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
• Published: IEEE 09-07-2024
• 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
• ISSN: 2575-8284
• DOI: 10.1109/ICCE-Taiwan62264.2024.10674616

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.