Digital Twin: Manufacturing Quality Control Via Remote Operator
| Digital Twin: Manufacturing Quality Control Via Remote Operator | |
|---|---|
 Manufacturing Quality Control | |
| Team Organizations | Digital Twin Consortium Vicomtech |
| Point of Contact | Karen Quatromoni |
| Participating Municipalities | Boston MA |
| Sectors | Data |
| Initiative | |
| Status | Launched |
| Last Updated | December 31, 2024 |
Summary
The post-Covid world necessitates remote verification of manufacturing components – in real-time, as they are conveyed across the manufacturing line.
- Objective
To increase the flexibility of quality control on manufacturing lines
- Value
Introduces digital twins into the legacy manufacturing process, to bring it into alignment with post-Covid remote personnel requirements.
- The Solution
This showcase replicates a real manufacturing line and its components, in the following sequence:
- An Enterprise Resource Planning (ERP) system which sends the order to a Manufacturing Execution System (MES). The MES launches the manufacturing process, including a conveyer that moves parts and a remote-controlled robot.
- A remote operator decides if the part is valid, viewing a live camera image over 5G, and the robot finishes the manufacturing process.
- A Data Acquisition Module communicates with the elements of the manufacturing line to store relevant traceability and process data at a High-Performance Computer (HPC).
- This data feeds an Assets Administration Shell (AAS) based digital representation of the line elements that are the input for the twin. The twin, including the dashboard, is deployed in a virtual environment viewed by AR goggles.
- Digital Twin Role
- Provides a digital replica of the manufacturing cell, enabling manipulation and quality control inspection of manufacturing cells using Virtual Reality.
- Tracks energy efficiency, performance metrics, and maintainability of the manufacturing line
- Virtual Reality Inspection
A digital twin of the manufacturing cell is created using Oculus VR and deployed in a virtual environment, enabling real-time quality control.
- Machine Learning Analysis
Process elements are measured and examined via the digital twin and passed onto machine learning technologies to provide actionable insights. Benefits & Results The outcomes of the showcase are:
- A digital twin of the manufacturing cell that can be manipulated and inspected.
- A realistic demonstrator that includes real-time remote operators.
- Improvements required in the post-Covid manufacturing world, notably operator location flexibility.
