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The figure below shows original 15 minute data and the aggregated hourly data using the accumulative function:

h5 Validation rules

The concept of the validation rules was introduced as a solution for a common problem in operational situations when using aggregation transformations. When for example a yearly average was computed a single missing value in the input values would cause that the yearly average was also a missing value.

The validation rules provide a solution for these types of situations.

The validation rules are optional in the configuration and can be used to define the outputflag and the custom flagsource of the output value based on the number of missing values/unreliables values and/or the number of doubtfull values in the used input values.

With these rules it is possible to define for example that the output of the transformation is reliable if less than 10% of the input is unreliable and/or missing and that if this percentage above 10% that in that case the output will be unreliable.

This prevents that a single missing value in the input will lead to a missing value in the aggregated output value.

The concept of the validation rules will be explained below by an example.

Configuration example

	<transformation id="aggregation accumulative">
		<aggregation>
			<accumulative>
				<inputVariable>
					<timeSeriesSet>
						<moduleInstanceId>ImportTelemetry</moduleInstanceId>
						<valueType>scalar</valueType>
						<parameterId>H.obs</parameterId>
						<locationSetId>hydgauges</locationSetId>
						<timeSeriesType>external historical</timeSeriesType>
						<timeStep unit="minute" multiplier="15"/>
						<relativeViewPeriod unit="day" startOverrulable="true" start="-7" end="0"/>
						<readWriteMode>read only</readWriteMode>
						<delay unit="minute" multiplier="0"/>
					</timeSeriesSet>
				</inputVariable>
				<outputVariable>
					<timeSeriesSet>
						<moduleInstanceId>Aggregate_Historic</moduleInstanceId>
						<valueType>scalar</valueType>
						<parameterId>accumulative</parameterId>
						<locationSetId>hydgauges</locationSetId>
						<timeSeriesType>external historical</timeSeriesType>
						<timeStep unit="hour" multiplier="1"/>
						<relativeViewPeriod unit="day" startOverrulable="true" start="-7" end="0"/>
						<readWriteMode>add originals</readWriteMode>
						<synchLevel>1</synchLevel>
					</timeSeriesSet>
				</outputVariable>
			</accumulative>
		</aggregation>
	</transformation>