文章基本信息

标题：A Predictive Simulation and Optimization Architecture based on a Knowledge Engineering User Interface to Support Operator 4.0
本地全文：下载
作者：Claudio Palasciano ; César Toscano ; Rafael Arrais 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2021
卷号：54
期号：1
页码：331-336
DOI：10.1016/j.ifacol.2021.08.038
语种：English
出版社：Elsevier
摘要：AbstractThe 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.
关键词：KeywordsIntelligent manufacturing systemsIIoT architecturesHuman operator supportReal-Time MonitoringIndustry 4.0