MAl
My feedback
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15 votes
MAl supported this idea ·
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6 votes
MAl supported this idea ·
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9 votes
For this particular use case, you should be able to use the TagTot() function which executes at 6:00am with an output timestamp override for 5:30am. It’s not clear why you’re using output as input. Can you provide an example?
MAl supported this idea ·
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11 votes
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53 votes
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7 votes
MAl supported this idea ·
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151 votes
MAl supported this idea ·
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75 votes
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144 votes
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130 votes
MAl supported this idea ·
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186 votesEVALUATING · 1 comment · PI Server » Analytics & Calculations · Flag idea as inappropriate… · Admin →
MAl supported this idea ·
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241 votes
MAl supported this idea ·
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2 votes
MAl shared this idea ·
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5 votes
MAl supported this idea ·
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24 votes0 comments · PI Integrators » PI Integrator for Business Analytics · Flag idea as inappropriate… · Admin →
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30 votes3 comments · PI Integrators » PI Integrator for Business Analytics · Flag idea as inappropriate… · Admin →
MAl supported this idea ·
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380 votes
At this time, this item is not currently scheduled for a release of PI Vision. If this changes, this item will be updated to reflect the current status.
MAl supported this idea ·
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355 votes
MAl supported this idea ·
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524 votes
At this time, this item is not currently scheduled for a release of PI Vision. If this changes, this item will be updated to reflect the current status.
MAl supported this idea ·
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199 votes
This functionality to set the unit of measure for AF attributes at the symbol level is in development for the PI Vision 2022 release.
MAl supported this idea ·
I noticed that some functions are excluding questionable values (Avg, SStDev,...) while others are including them (TagMean, StDev,...): this is misleading.
Moreover, there should be more coerence between PE and AF Analysis, as in case of only questionable values an expression like
Avg(TagVal('tag1','y'),TagVal('tag2', 'y'))
would work in PE and fail in AF.
I voted this idea as I agree that the result of questionable values is questionable too.
For the future, I would suggest to implement an optional parameter Questionable/NoQuestionable for all the statistical functions, in order to include/exclude questionable values.