PI Tuning Tools 4.1 release
PI Tuning Tools allows PI System Administrators to easily identify “noisy” tags and to tune the tags and PI archive through changes to tag compression settings (compression deviation).
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 consists of 3 applications
- Archive Analysis
Identify the tags that have the most archive events (noisy tags)
- Compression Analysis Data Collector
Collect raw data for one or more tags (for use by Compression Analysis)
- Compression Analysis
Plot and analyze the raw data values versus compressed data by creating what-if scenarios for various compression deviation settings
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 are initially displayed in the application. This includes number of events, tag name, description, along with the compression and exception settings for each tag. The user can select additional PI tag attributes for the results.
- The results can be saved to a file that can be imported into Microsoft Exc
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)
- The 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.
See the effects of different Compression settings on raw tag data
- 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. compressed, average error and compression ratios achieved