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mathcoll edited this page Jul 6, 2021 · 9 revisions

Flows are datastore/containers to save and store time/values (called DataPoints). Each Object can send Datapoints to multiple Flows. Flows are defined for each Users and are having permissions. Communication becomes easy in the platform with Timestamp-ed values. Flows allows to retrieve and classify data. Objects are sending their Datapoints to Flow-containers using the API.

Flow and Data Fusion

Data Fusion on t6 allows to combine multiple measures from several Flows (Tracks) on another Flow (Primary). Specificities of the Flow related to Data Fusion

  • Primary Flow
    • Algorithm: to set the Fusion compute mode
  • Track
    • TTL: the buffer time for each Track-measure