November 2, 2021
Trend [11-02-2021]
FIXED:
- The Copy Trend button now respects the state of the Trend when copied: the selected attributes and their order, as well as which ones are visible. This improves the ability to share Trend snapshots with others.
- Trend now displays attributes according to an order of importance (if set), and initially displays only the first 10 attributes. This improves the initial time for rendering a Trend. Order of importance for an attribute is set in the attribute edit form on a piece of equipment.
Connectors [11-02-2021]
ADDED:
- Improved time series data ingestion, which improves the accuracy of live data analytics.
OPC/UA
- Improved granularity of data retrieved and stored from OPC UA Servers
UI Components [11-02-2021]
CHANGED:
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Improve the UI by moving the set as root functionality to each leaf
General
- Added an Overview page to describe
Model Browser
- Added scrolling pagination which allows the Model Browser to load quickly
- Added fronted and backend sort and search
- Better formatting and visibility of the FQN information using hovering
- New Deep Search discovers hidden attributes
Model Editor [11-02-2021]
FIXED:
Bug Fixes:
- Material Types and/or their attributes can now be deleted even if the attribute(s) has limits
- Quantity Kinds Library now updates correctly after libraries are added or deleted
- Updating Relationship Type's subject or object type pair no longer deletes all relationships with the same pairing
- Model Editor users can now unlink the internal name from the display name
- Expressions: Evenly averaged sample function under some situations would return NULL as the last value
- Access to Scripting is now protected by Access Levels, just as the Model Editor itself is.
- Better and simpler averaging for real time displays and expressions that remove noise while allowing averaging close to real time.
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Added expression functions for simple and weighted moving average. Both functions use the interpolation methods to determine the weight of each point or line segment.
The simple moving average is averaging data over a fixed time period in the past. All values/segments get the same weight independent of how far back in time within the time window the point is.
The weighted average is averaging data over a weighted time period in the past. The further away that a value/segment is, the less weight it will have.
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