The following plausibility check types with different parameters are available.

▪Slope

A sequence of base production values is compared by this plausibility check type with the respective temporal predecessors.

The amount of change in a value compared to the previous value and the maximum allowed gradient within a likewise parametrisable time period can be parameterised:

▪maximum allowed percentage delta

▪maximum allowed gradient

▪Time range in minutes

▪Completeness

The imported values of the import time series are checked with this plausibility type for completeness within the time range to be checked for plausibility. This makes it particularly easy to find gaps in graphs by means of the associated plausibility comment.

▪Outliers

This plausibility check type checks a time series for outliers or extreme values.

The check is carried out against an upper limit. If a value exceeds this limit, this value is marked with the status code "99".

▪Interpolator

Imported values are checked for gaps with this plausibility check type.

"Gap" in this context means a sequence of values with status code that are included in the invalid status code group, and are therefore invalid.

Gaps are only interpolated if a gap is exactly one value wide. Otherwise there is no interpolation. This can be used when you want to fill in individual gaps caused by calibrations with valid values.

If interpolation was done, the interpolated value gets the status code "6" ("valid after interpolation").

To interpolate the missing value, the system calculates the arithmetic mean from the two neighbouring values of the gap

▪2-way Outlier

Imported values are checked for outliers upwards or downwards.

You can specify a maximum allowed delta or accept the value suggested by the system.

AquisNet identifies two consecutive measured values whose delta is greater than the permitted one as outliers.