fuuz-flows-v1

Build industrial automation data flows by sequencing node types to handle event-driven tasks and telemetry aggregation. Use JavaScript and JSONata for complex transformations, and apply ISO 22400 standards to structure accurate OEE calculations.

JSONata transforms telemetry data within Fuuz data flows by mapping and querying JSON structures during event-driven automation. It enables complex data manipulation and aggregation before passing values to downstream industrial nodes.

Schedule tasks and handle timezones in industrial IoT flows by configuring scheduled nodes for hourly telemetry aggregation. Apply context management to maintain state and ensure accurate timezone conversions during OEE metric calculations.

The Fuuz platform supports GraphQL for API integrations to interact with industrial data structures. It allows data flows to query and mutate manufacturing context, pulling required telemetry for scheduled automation tasks.

Scheduled data flows fail to aggregate OEE metrics when context management or timezone conversions are mishandled. Debug by verifying JSONata transformations and ensuring node concurrency patterns do not drop telemetry events.

JavaScript is required for complex transformations in event-driven industrial IoT automation. While JSONata handles data mapping, JavaScript executes custom logic and ISO 22400 OEE calculations within Fuuz data flow nodes.