SAMBA – an architecture for adaptive cognitive control of distributed Cyber-Physical Production Systems based on its self-awareness; [SAMBA – eine Architektur zur adaptiven kognitiven Kontrolle verteilter cyber-physischer Produktionssysteme basierend auf Self-Awareness]

被引：0

作者：

Siafara L.C. ^{[1
]}

Kholerdi H. ^{[1
]}

Bratukhin A. ^{[2
]}

Taherinejad N. ^{[1
]}

Jantsch A. ^{[1
]}

机构：

[1] Institute of Computer Technology, TU Wien, Gußhausstraße 27–29, Vienna

[2] Center for Integrated Sensor Systems, Danube University Krems, Viktor Kaplan Straße 2 E, Wiener Neustadt

来源：

e & i Elektrotechnik und Informationstechnik | 2018年 / 135卷 / 3期

关键词：

autonomous collaborating objects; cognitive systems; dynamic clustering; self-awareness; system health monitoring;

D O I：

10.1007/s00502-018-0614-7

中图分类号：

学科分类号：

摘要：

Factories in Industry 4.0 are growing in complexity due to the incorporation of a large number of Cyber-Physical System (CPSs) which are logically and often physically distributed. Traditional monolithic control and monitoring structures are not able to address the increasing requirements regarding flexibility, operational time, and efficiency as well as resilience. Self-Aware health Monitoring and Bio-inspired coordination for distributed Automation systems (SAMBA) is a cognitive application architecture which processes information from the factory floor and interacts with the Manufacturing Execution System (MES) to enable automated control and supervision of decentralized CPSs. The proposed architecture increases the ability of the system to ensure the quality of the process by intelligently adapting to rapidly changing environments and conditions. © 2018, The Author(s).

引用

页码：270 / 277

页数：7

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