Hi
I am trying to build an alarm point for a specific point in a table which is included in the protocol.
I am trying to use the Index Key as the filter and then the value brought back for severity, the issue is when doing this it wont show as alarm, I have to wildcard the filter, the downside to this is that each row in the table has to alarm for different values in the field.
Is there a way to make this work?
Image 1; This is what I am trying to achieve
Image 2; this is the table with the result of image 1, see the "Select GID" column isnt showing an alarm state
Image 3; This is with the filter Wildcarded
Thanks
Hi Ryan
If I recall correctly, the filter option will use the Display Key of your table to filter things out.
I assume that would be the column TS Input Name [IDX] (given it contains the [IDX] suffix), so could you give it a try with that?
Instead of filtering on 2010000, you could filter on TS Input Switch 1, so it would look something like this:
Hi Ryan,
Could you update the parameter alarm by using the drill down functionality in data display of the cell?
Just double click on you cell and go to the templates tab in order to define your changes.
If you notice that the thresholds are incorrectly filled in, then the order in the alarm template could be incorrect, which can be fixed within the alarm template editor. You just have to move the order and press Apply.
Example:
I hope this helps you further.
Hi Ryan,
Can you try if the Absolute alarm monitoring is a solution for your use-case?
https://docs.dataminer.services/user-guide/Basic_Functionality/Protocols_and_templates/Alarm_templates/Configuring_alarm_templates.html
Using the 'Absolute' mode instead of the 'Normal' mode in the alarm template allows you to set a baseline for each of the rows.
If you then set the delta as '1', DataMiner will alarm if the GID is different than what is set as the baseline.
The advantage is therefore that you only need to configure one row in the alarm template and you can use the baselines for the rows to update the 'normal' value of the rows.