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Sensors (Basel). 2019 Apr 2;19(7). pii: E1592. doi: 10.3390/s19071592.

New Approaches to Implementing the SmartJacket into Industry 4.0 .

Author information

1
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. marcon@feec.vutbr.cz.
2
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. xarmja00@vutbr.cz.
3
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. xbenes23@vutbr.cz.
4
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. zezulka@feec.vutbr.cz.
5
Institute for Automation Engineering, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany. christian.diedrich@ovgu.de.
6
Institute for Automation Engineering, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany. tizian.schroeder@ovgu.de.
7
Institute for Automation Engineering, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany. alexander.belyaev@ovgu.de.
8
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. dohnalp@feec.vutbr.cz.
9
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. krizt@feec.vutbr.cz.
10
Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. bradac@feec.vutbr.cz.

Abstract

The paper discusses the possibilities of incorporating sensors and indicators into the environment of an Industry 4.0 digital factory. The concept of Industry 4.0 (I4.0) is characterized via a brief description of the RAMI 4.0 and I4.0 component model. In this context, the article outlines the structure of an I4.0 production component, interpreting such an item as a body integrating the asset and its electronic form, namely, the Asset Administration Shell (AAS). The formation of the AAS sub-models from the perspectives of identification, communication, configuration, safety, and condition monitoring is also described to complete the main analysis. Importantly, the authors utilize concrete use cases to demonstrate the roles of the given I4.0 component model and relevant SW technologies in creating the AAS. In this context, the use cases embody applications where an operator wearing a SmartJacket equipped with sensors and indicators ensures systematic data collection by passing through the manufacturing process. The set of collected information then enables the operator and the system server to monitor and intervene in the production cycle. The advantages and disadvantages of the individual scenarios are summarized to support relevant analysis of the entire problem.

KEYWORDS:

Asset Administration Shell (AAS); Industry 4.0; Internet of Things (IoT); LPWAN; MQTT; OPC UA; RAMI 4.0; SmartJacket; WiFi

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