Machine Learning for Manufacturing (MFG ML) is a end-to-end solution accelerator that builds and deploys a machine learning model for tool wear detection using Manufacturing Data Engine and Vertex AI.
The Machine Learning for Manufacturing solution accelerator includes the following components:
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Manufacturing Connect and Manufacturing Connect edge
- Factory edge platform co-developed with Litmus Automation that connects to manufacturing assets and streams the asset telemetries to Manufacturing Data Engine.
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- Pub/Sub: message broker for factory telemetries and integration point for factory edge platform and MDE.
- Dataflow: fully managed and unified stream and batch data processing pipeline.
- Cloud Storage: object storage for structured and unstructured factory data.
- BigQuery: serverless data warehouse for storing structured and semi-structured factory data.
- Cloud Bigtable: fully managed NoSQL database optimized for storing factory time series data.
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- Unified AI platform for building and deploying machine learning models.
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- Business intelligence platform optimized for Google Cloud integration.
For instructions to deploy this solution accelerator, please see deployment.md.