New Approaches to Implementing the SmartJacket into Industry 4.0 ^‡

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.