ValidateRepeatValue
About the function
This function validates time series based on repetition frequency. Values repeated too often, are marked with ! (Not OK). Values with control towards repeated values are set to validated and marked with V04, meaning validation method 4. You can see this code if you turn on value information in Nimbus.
Syntax
- ValidateRepeatValue(t,t,d,d)
Description
| # | Type | Description |
|---|---|---|
| 1 | t | Time series to be validated. |
| 2 | t | Time series describing maximum number of repeated values. |
| 3 | d | Value describing delta used when comparing values. |
| 4 | d | Value that is considered as an exception to the rule. |
Example
Waterlevel_hour_VEE = @ValidateRepeatValue(@RESET_STATUS(@t('Waterlevel_hour_raw')),@TS('VARINT',@d('ValidateMaxRepeatedValues')),@d('ValidateDeltaValues'),@d('ValidateExceptionValues'))
This example validates the time series using repetitions described in the time series @TS('VARINT',@d('ValidateMaxRepeatedValues')), which is a time series created from the attribute value, @d('ValidateMaxRepeatedValues'), on the specific object.
The delta used when comparing the values, @d('ValidateMaxErrors'), and the value that is considered an exception to the rule, @d('ValidateExceptionValues'), are also defined as attributes on the specific object.
This example validates the time series using repetitions described in the time series @TS('VARINT',@d('ValidateMaxRepeatedValues')). The delta used when comparing the values is set to 0.01 and the value 0.0 is considered correct no matter how many times it is repeated.
