- Demonstrator
Google Cloud Demonstrator
Understanding Google Cloud – Created by ITQ
To explain the principle behind the latest Google Cloud solution Manufacturing Data Engine and Connect To illustrate this to a wide audience, junior engineers from ITQ GmbH, in collaboration with SOTEC one Google Cloud Demonstrator built. The demonstrator consists of a miniature factory for the customised manufacture of chips, which demonstrates how processes and the Productivity using the AI-based solution can be optimised.
The demonstrator illustrates in a fun way how manufacturing engineers can use Google’s cloud technologies to manage all the data from a Smart Factory and process it efficiently. The engineers built the demonstrator based on the Learning Factory 4.0 by fischertechnik and a Sawyer Cobot by Rethink Robotics. Users will learn how analytics and insights, visual inspection, predictive maintenance, anomaly detection and traceability work in smart manufacturing.
Highlights
Tools and technologies used
FAQ
What does the „Manufacturing Data Engine and Connect“ demonstrator show?
The demonstrator visualises a miniature factory for customised chip manufacturing and shows how AI-based cloud solutions can optimise processes, productivity and data processing in a smart factory.
What technologies are used in the demonstrator?
The demonstrator is based on fischertechnik’s Lernfabrik 4.0, a Sawyer cobot from Rethink Robotics, and Google Cloud analytics and AI tools such as Predictive Maintenance, Visual Inspection and Anomaly Detection.
What benefits does the solution offer to manufacturing engineers?
Production engineers receive real-time data from the smart factory, enabling them to monitor processes efficiently, detect anomalies at an early stage and boost productivity through data-driven decisions.
How does the demonstrator help people understand smart factory concepts?
Through a playful and hands-on experience, key functions such as traceability, process monitoring and AI-supported optimisation are clearly demonstrated – ideal for training sessions or demonstrations.
Can the solution be applied to real-world production environments?
Yes, the demonstrator serves as a clear-cut model. The principles, data integration and AI-supported analyses can be scaled up to real-world manufacturing processes.
Further information: