MBSE to DataLakes and MachineLearning
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The MBSE to Datalakes and MachineLearning (MBSE2DL) project is an activity for ESA’s OSIP initiative. ScopeSET, together with 3DSE and TUM, successfully proposed a novel idea to combine Model-Based Systems Engineering and telemetry data artifacts in a BigData-capable DataLake.
As a demonstrator, the “Integrated MBSE Analytics Platform” (IMAP) was developed with the following key functions:
- Transform MBSE models, simulation, AIT and telemetry data into a semantic DataLake
- Connect MBSE model elements with non-MBSE/telemetry data to simplify the understanding of anomalies
- Enable graph-enhanced queries for troubleshooting
- Employ Machine Learning to find points of interest in measurement data
- Provide efficient web-based access to data and analysis results
- Grafana integration
ESA MBSE 2022 Workshop presentation slides.