In this example, the flow is reading OPC-DA data and prepare it for a Python model running at the edge:
- Apply algorithms to extract features from the data, eg objects, patterns, trends…
- Correlate data from multiple sensors to derive higher-level insights
- Use compression techniques to reduce the amount of data without reducing the relevant information.
- Collect OPC data
- Pre-process data
- Time align
- Run Machine Learning model