A Predictive Simulation and Optimization Architecture based on a Knowledge Engineering User Interface to Support Operator 4.0. Issue 1 (2021)

• Record Type: Journal Article
• Authors: Palasciano, Claudio; Toscano, César; Arrais, Rafael; Sobral, Narciso Manuel; Floreani, Fabio; Sesana, Michele; Taisch, Marco
• Is Part Of: IFAC-PapersOnLine. Volume 54:Issue 1(2021)
• Page Start: 331
• Page End: 336
• Publication Date: 2021
• Subjects: Intelligent manufacturing systems -- IIoT architectures -- Human operator support -- Real-Time Monitoring -- Industry 4.0; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2021.08.038
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The Real-Time Monitoring and Performance Management suite tool, known as UIL (User Interface Layer), was developed in the FASTEN project, a R&D initiative financed by the innovation and research program H2020 within a bilateral Europe-Brazil call. UIL was conceived and deployed in the IIoT architecture of the project. The goal was to provide a user-centered assistance to the human operator for both decision-responsibility and control loop, in a continuously updating information fashion, related to system's state. In order to have experimental results, a qualitative assessment was conducted in an industrial environment. The architecture proposed was based on the adoption of a Knowledge Engineering User Interface to support Operator 4.0. Our empirical experiments point out to a successful set of results.