PI Tuning Tools allows PI System Administrators to easily identify “noisy” tags and tune the PI Archive through changes to the Compression Deviation tag attribute.

Without PI Tuning Tools, it is difficult to analyze the effect of compression deviation on a tag’s raw values once these values are saved in the PI Archive. The values in the archive have been processed to reproduce the raw data within an allowed error: the tag’s compression deviation.

PI Tuning tools allows you to

• Identify the tags that have the most Archive events.

• Collect raw data for one or more tags, or import raw data from a user-created file.

• Plot and analyze the raw data values versus compressed data using various compression deviation settings.

PI Tuning Tools consists of three separate applications:

Archive Analysis

Archive Analysis: Identify noisy or empty PI Tags.

• The user enters search criteria similar to OSI’s PI Tag Search. Included in the criteria is a time range for analysis.

• Archive Analysis searches the PI archive and counts the number of archive events for the tags matching the search criteria.

• The results can be sorted and are initially displayed in the application. This includes number of events, tag name, description along with the compression and exception settings for the tag.

• The results can be saved to a file that can be imported into Microsoft Excel.

Compression Analysis Data Collector

Compression Analysis Data Collector: Collect raw data for PI tags

• Configure desired tags to bypass exception. Snapshot now contains each value sent by an Interface (“raw” data)

• Data Collector monitors the snapshot of configured tags. Each snapshot value is saved locally in a data file.

• Data files can be imported into Compression Analysis to analyze the effect of various compression deviations on the raw data.

Compression Analysis

Compression Analysis: See the effects of different Compression settings

• Import raw data from a Compression Analysis data file, a user-created data file or the archive data of a noisy tag.

• Compare raw data to compressed data by entering and analyzing multiple compression deviation settings.

• Analysis includes plots of raw vs. compression, average error and compression ratios achieved.

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