A Microservice-based Middleware for the Digital Factory
| Autor: | Diego Rovere, Michele Ciavotta, Marino Alge, Silvia Menato, Paolo Pedrazzoli |
|---|---|
| Přispěvatelé: | Ciavotta, M, Alge, M, Menato, S, Rovere, D, Pedrazzoli, P |
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering Data Stream Analysi 02 engineering and technology Microservices Industrie 4.0 computer.software_genre Microservice Smart Factory Industrial and Manufacturing Engineering 020901 industrial engineering & automation Artificial Intelligence Synchronization (computer science) 0202 electrical engineering electronic engineering information engineering Architecture Scope (project management) business.industry Cyber-physical system Cyber Physical System Automation Real-digital synchronization Middleware (distributed applications) 020201 artificial intelligence & image processing Data architecture business Software engineering computer |
| Zdroj: | Procedia Manufacturing |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2017.07.197 |
| Popis: | In recent years a considerable effort has been spent by research and industrial communities in the digitalization of production environments with the main objective of achieving a new automation paradigm, more flexible, responsive to changes, and safe. This paper presents the architecture, and discusses the benefits, of a distributed middleware prototype supporting a new generation of smart-factory-enabled applications with special attention paid to simulation tools. Devised within the scope of MAYA EU project, the proposed platform aims at being the first solution capable of empowering shop-floor Cyber-Physical-Systems (CPSs), providing an environment for their Digital Twin along the whole plant life-cycle. The platform implements a microservice IoT-Big Data architecture supporting the distributed publication of multidisciplinary simulation models, managing in an optimized way streams of data coming from the shop-floor for real-digital synchronization, ensuring security and confidentiality of sensible data. |
| Databáze: | OpenAIRE |
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