Subclause 5.4.2 deals with Aggregate characteristics and behaviour that are common to all Aggregates.
To read Historical Aggregates, OPC clients shall specify three time parameters:
 startTime (Start)
 endTime (End)
 ProcessingInterval (Int)
The OPC Server shall use these three parameters to generate a sequence of time intervals and then calculate an Aggregate for each interval. Subclause 5.4.2.2 specifies, given the three parameters, which time intervals are generated. Table 12 provides information on the intervals for each Start and End time combination. The range is defined to be End  Start.
All Aggregates return a timestamp of the start of the interval unless otherwise noted for the particular Aggregate.
Table 12 – History Aggregate interval information
Start/End Time 
Interval 
Resulting intervals 
Int = Anything 
No intervals. Returns a Bad_InvalidArgument StatusCode, regardless of whether there is data at the specified time or not. 

One interval, starting at Start and ending at End. Includes Start, excludes End, i.e., [Start, End). 

Int ≠ 0, Int < Range, Int divides Range evenly. 
Range/Int intervals. Intervals are [Start, Start + Int), [Start + Int, Start + 2 x Int),..., [End  Int, End). 

Int ≠ 0, Int < Range, Int does not divide Range evenly. 
Range/Int intervals. Intervals are [Start, Start + Int), [Start + Int, Start + 2 x Int),..., [Start + ( Range/Int  1) x Int, Start + Range/Int x Int), [Start + Range/Int x Int, End). In other words, the last interval contains the “rest” that remains in the range after taking away Range/Int intervals of size Int. 

One interval, starting at Start and ending at End. Includes Start, excludes End, i.e.,[Start, End). a 

Int ≠ 0, Int < Range, Int divides Range evenly. 
Range/Int intervals. Intervals are [Start, Start Int), [Start– Int, Start – 2 x Int),..., [End + Int, End). a 

Int ≠ 0, Int < Range, Int does not divide Range evenly. 
Range/Int intervals. Intervals are [Start, Start  Int), [Start –Int,Start  2 x Int),..., [Start – ( Range/Int  1) x Int , Start  Range/Int x Int), [Start  Range/Int x Int , End). In other words, the last interval contains the “rest” that remains in the range after taking away Range/Int intervals of size Int starting at Start. a 

a In this case time is running backwards on the intervals. 
The calculation of all Aggregates when time flows backwards is the same as when time flows forwards with the exception that the ‘early time’ is excluded from the interval and the ‘late time’ is included. In most cases this means the value will be the same except the timestamps are shifted by one ProcessingInterval. E.g. when time flows forward the value at T = n is the same as the value at T = n + 1 when time flows backward.
Note that when determining Aggregates with MonitoredItem, the interval is simply the ProcessingInterval parameter as defined in the AggregateFilter structure. See OPC 100004 for more details.
Table 13 outlines the valid DataType for each Aggregate. Some Aggregates are intended for numeric data types – i.e. integers or real/floating point numbers. Dates, strings, arrays, etc. are not supported. Other Aggregates are intended for digital data types – i.e. Boolean or enumerations. In addition some Aggregates may return results with a different DataType than those used to calculate the Aggregate . Table 13 also outlines the data type returned for each Aggregate .
Table 13 – Standard History Aggregate Data Type information
BrowseName 
Valid Data Type 


Interpolation Aggregate 

Interpolative 
Numeric 
Raw Data Type 

Data Averaging Aggregates 

Average 
Numeric 
Double 
TimeAverage 
Numeric 
Double 
TimeAverage2 
Numeric 
Double 
Total 
Numeric 
Double 
Total2 
Numeric 
Double 

Data Variation Aggregates 

Minimum 
Numeric 
Raw data type 
Maximum 
Numeric 
Raw data type 
MinimumActualTime 
Numeric 
Raw data type 
MaximumActualTime 
Numeric 
Raw data type 
Range 
Numeric 
Raw data type 
Minimum2 
Numeric 
Raw data type 
Maximum2 
Numeric 
Raw data type 
MinimumActualTime2 
Numeric 
Raw data type 
MaximumActualTime2 
Numeric 
Raw data type 
Range2 
Numeric 
Raw data type 

Counting Aggregates 

AnnotationCount 
All 
Integer 
Count 
All 
Integer 
DurationInStateZero 
Numeric or Boolean 
Duration 
DurationInStateNonZero 
Numeric or Boolean 
Duration 
NumberOfTransitions 
Numeric or Boolean 
Integer 

Time Aggregates 

Start 
All 
Raw data type 
End 
All 
Raw data type 
Delta 
Numeric 
Raw data type 
StartBound 
All 
Raw data type 
EndBound 
All 
Raw data type 
DeltaBounds 
Numeric 
Raw data type 

Data Quality Aggregates 

DurationGood 
All 
Duration 
DurationBad 
All 
Duration 
PercentGood 
All 
Double 
PercentBad 
All 
Double 
WorstQuality 
All 

WorstQuality2 
All 


Statistical Aggregates 

StandardDeviationSample 
Numeric 
Double 
VarianceSample 
Numeric 
Double 
StandardDeviationPopulation 
Numeric 
Double 
VariancePopulation 
Numeric 
Double 
The following issues may come up when calculating Aggregates that include time as part of the calculation.
 All Aggregate calculations include the startTime but exclude the endTime. However, it is sometimes necessary to return an Interpolated End Bound as the value for an Interval with a timestamp that is in the Interval. Servers are expected to use the time immediately before endTime where the time resolution of the Server determines the exact value (do not confuse this with hardware or operating system time resolution). For example, if the endTime is 12:01:00, the time resolution is 1 second, then the EffectiveEndTime is 12:00:59. If the Server time resolution is 1 millisecond the EffectiveEndTime is 12:00:59.999.
If time is flowing backwards, Servers are expected to use the time immediately after endTime where the time resolution of the Server determines the exact value.