The digital twin of an industrial production line within the industry 4.0 concept
Цифровой двойник промышленной производственной линии в рамках концепции Индустрии 4.0
2017-06-01
SCID: 54.1/u2kutubr
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Industry 4.0automotive manufacturingdigital twinindustrial production linepredictive maintenance
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Abstract (AI)
This article presents the digital twin concept, which is an augmented manufacturing project created in close collaboration by SOVA Digital and the Institute of Automation, Measurement and Applied Informatics (ÚAMAI), of the Faculty of Mechanical Engineering, Slovak University of Technology in Bratislava with the support of SIEMENS. The project is a technological concept focusing on the continuous optimization of production processes, proactive maintenance, and continuous processing of process data. This project is the basis for further work to promote the concept of Industry 4.0. for the needs of the industry subjects within Slovakia. Its basic goal is to support the existing production structures within the automotive industry and the most efficient use of resources by augmented production and planning strategies, such as the digital twin presented here.
Key Findings
1
The digital twin is designed to continuously optimize production processes, enable proactive maintenance, and continuously process production data.
2
The paper presents a digital twin for an industrial production line developed collaboratively by SOVA Digital, ÚAMAI, and Siemens.
3
The project establishes a foundation for advancing Industry 4.0 applications within Slovak industrial enterprises.
4
The proposed system aims to support automotive production structures and improve resource efficiency through augmented production and planning strategies.
Research Object
Digital twin of an industrial production line (augmented manufacturing system for an automotive industry production line)
Research Subject
the digital-twin-based continuous optimization of production processes, proactive maintenance, process-data processing, and resource-efficient production planning
Publication Details
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2017-06-01
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