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New Approaches to Implementing the SmartJacket into Industry 4.0 ‡.

Petr Marcon1, Jakub Arm2, Tomas Benesl3

  • 1Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic. marcon@feec.vutbr.cz.

Sensors (Basel, Switzerland)
|April 17, 2019
PubMed
Summary

Industry 4.0 digital factories can integrate sensors and indicators using the Asset Administration Shell (AAS). This enables real-time data collection and intervention for optimized manufacturing processes.

Keywords:
Asset Administration Shell (AAS)Industry 4.0Internet of Things (IoT)LPWANMQTTOPC UARAMI 4.0SmartJacketWiFi

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Area of Science:

  • Industrial Engineering
  • Computer Science
  • Automation Technology

Background:

  • Industry 4.0 (I4.0) digital factories require advanced integration of physical assets with their digital counterparts.
  • The Reference Architecture Model Industrie 4.0 (RAMI 4.0) and I4.0 component models provide frameworks for this integration.
  • The Asset Administration Shell (AAS) is a key component for representing the electronic form of an industrial asset.

Purpose of the Study:

  • To explore the integration of sensors and indicators within Industry 4.0 environments.
  • To detail the structure and sub-models of the I4.0 production component, focusing on the AAS.
  • To demonstrate the practical application of the I4.0 component model and AAS through use cases.

Main Methods:

  • Description of the RAMI 4.0 and I4.0 component models.
  • Analysis of the AAS structure, including identification, communication, configuration, safety, and condition monitoring sub-models.
  • Development and evaluation of use cases involving operators with sensor-equipped SmartJackets for data collection.

Main Results:

  • The AAS effectively integrates an asset's physical and digital representations.
  • Sensor-equipped SmartJackets enable systematic data collection during manufacturing processes.
  • Collected data facilitates real-time monitoring and intervention in production cycles by operators and system servers.

Conclusions:

  • The AAS is a viable mechanism for incorporating sensors and indicators into Industry 4.0 systems.
  • Practical use cases demonstrate the benefits of AAS-driven data collection for process optimization.
  • Further analysis of advantages and disadvantages of specific scenarios is provided.