mfg-ml-examples
Practical examples of machine learning use cases in manufacturing
APACHE-2.0 License
Stars
12
Ecosystems:
BigQuery
Machine Learning for Manufacturing
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.
Architecture
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.
- Factory edge platform co-developed with Litmus Automation
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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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Pub/Sub: message broker for
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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.
Deployment
For instructions to deploy this solution accelerator, please see deployment.md.