D.15: Product Digital Twin
• Short Description: The Product Digital Twin (DT) plays a crucial role in fostering sustainability and facilitating remanufacturing, demanufacturing, and recycling processes while prioritizing sustainability and eco-friendly product design within a Circular Economy environment. It is utilizing Asset Administration Shell (AAS) for specifications and Eclipse BaSyx for implementation, the Product DT enables comprehensive monitoring and management of product lifecycles. It tracks the usage, performance, and condition of products, enhancing the resource efficiency. Furthermore, it integrates a data management and processing component, leveraging TensorFlow services for data analytics. Leveraging this data, AI algorithms, are promoting eco-friendly product design and supporting a sustainable Circular Economy by maximizing resource recovery and minimizing waste.
The Product Digital Twin (DT) encompasses various technical elements to ensure its functionality and interoperability.
- Standards and Protocols: The Product DT adheres to industry standards and protocols to ensure compatibility and seamless integration with existing systems. This includes standards such as Asset Administration Shell (AAS), which provides a standardized approach to describe and manage assets in a digitalized environment. Additionally, protocols like MQTT (Message Queuing Telemetry Transport) are used for efficient and reliable communication between the Product DT and other components of the Circular Economy ecosystem.
- APIs (Application Programming Interfaces): The Product DT offers well-defined APIs, following the AAS specifications, to facilitate interaction with external systems and applications. These APIs allow developers to access and manipulate data stored in the Product DT, enabling functionalities such as querying product specifications, monitoring performance metrics, and triggering maintenance tasks.
- Data Management and Processing Component: The Product DT includes a data management and processing component responsible for handling data generated by the Product DT. TensorFlow services are integrated to enable advanced data analytics, including machine learning algorithms for predictive maintenance and eco-friendly product design.
- Integration with Eclipse BaSyx: Eclipse BaSyx serves as the implementation framework for the Product DT, providing tools and libraries for developing and deploying Digital Twin solutions. The Product DT leverages BaSyx's capabilities to model and execute Digital Twins, enabling seamless integration with the Circular Economy ecosystem.
• Reference, URL: https://www.netcompany-intrasoft.com/
• Applicable Business Category: Manufacturing
• Application in relevant Projects/Initiatives: Yes, Circular TwAIn
• Asset Type: Executable
• AI Breadth:
• Learning Ability:
• Related technologies:
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• Applicable Technical Category:
• License Information: Proprietary license:
• Related to circularity and sustainability:
• Audience:
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