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Built-In Historic Algorithms for Processed Historic Data

ClearSCADA has built-in historic algorithms that you can use with historic Trends and other historic features such as Historic Views. Each historic algorithm performs a calculation on the relevant raw historic values and returns the result, which can be used as a data source on a Trend or displayed in Queries. (For more information on raw historic values, see Raw Historic Data on Trends).

Each historic algorithm is applied to the values in a defined 'resample interval' (a time period).

Example:

If the resample interval is 1D (1 day) and you use the 1hAverage algorithm, ClearSCADA will calculate the average value every hour from the start of the day.

The resample interval is defined in the configuration of the Historic item, for example the Historic Trend, Historic Calculation, Historic View, and so on.

The following historic algorithms are often used when working with historic data:

In addition to the algorithms we have listed, ClearSCADA also supports the following historic algorithms, many of which are specified as part of the OPC historic standard:

For more information on the algorithms listed above (with the exception of Stepped), please refer to the OPC Foundation documentation or visit
http://www.opcfoundation.org).

NOTE: ClearSCADA also supports any custom historic algorithms that have been created on your system (see Historic Algorithms (Custom) in the ClearSCADA Guide to Server Administration). When you are configuring a Historic item, any custom historic algorithms are included in the list of available algorithms.


ClearSCADA 2015 R2