Time Series Management

What is a Time Series?

A time series is a raw stream of data where each data point is tied to a specific timestamp. Time series can originate from:

• Automated flows via communication protocols such as API, MQTT, or SFTP.

• Manual input, in the case of manually created series.

For automated time series, the system also records the source — information about where the data is coming from.

Statuses of a Time Series

• To be approved (Waiting)

  • The system does not process or store any values yet.

  • You need to accept and configure the time series before data can be ingested.

  • Manual time series only appear here if they were explicitly rejected.

• Accepted

  • Default state for all manual time series upon creation.

  • For automated series: the system processes and stores all incoming values once accepted.

  • You can further configure the series (e.g., link to tag or manage conversion factor(s)) or inspect the raw data.

  • An accepted series can be rejected at any time, as long as its timeline is no longer active on its linked tag.

    • From that moment on, no new data will be stored.

    • Existing data already stored remains accessible through the tag it was linked to.

    • You can undo the rejection at any time. However, data received during the unaccepted period is permanently lost and cannot be recovered.

• Rejected / Blacklisted

  • Use this if the time series is erroneous or unwanted.

  • Blacklisted series will no longer appear in the to be approved list.

  • Blacklisted series can be restored at any time.

Link to tag

To make a time series usable in the system, it must be linked to a tag. This allows the series to become part of a tag’s timeline composition, for example when a meter is replaced.

You have two options:

1. Link to an existing tag – add the time series to an existing timeline.

2. Create a new tag from the time series – start a new timeline for this data.