In a regular time series, the data arrives predictably at predefined intervals. In a regular time series there is no need to store multiple time stamps and the algorithms for analyzing the time series are therefore significantly simpler. Using the start time provided in the supertype, the time step is used to identify the frequency of the occurrences of the list of values.
An unique name for the time series.
A text description of the data that the series represents.
The start time of a time series.
The end time of a time series.
The time series data type.
The origin of a time series data.
Value of the data origin if DataOrigin attribute is USERDEFINED.
The unit to be assigned to all values within the time series. Note that mixing units is not allowed. If the value is not given, the global unit for the type of IfcValue, as defined at IfcProject.UnitsInContext is used.
|HasExternalReference||SET [1:?] OF IfcExternalReferenceRelationship FOR RelatedResourceObjects||
Reference to an external reference, e.g. library, classification, or document information, that is associated to the IfcTimeSeries.
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A duration of time intervals between values.
|10||Values||LIST [1:?] OF IfcTimeSeriesValue||
The collection of time series values.
ENTITY IfcRegularTimeSeries SUBTYPE OF (IfcTimeSeries); TimeStep : IfcTimeMeasure; Values : LIST [1:?] OF IfcTimeSeriesValue; END_ENTITY;