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Data Archiving

Data Archiving

Data Archiving

Archiving is carried out by the Historian module - Aspad, which efficiently collects data of analog and binary signals.  The capacity of the archive available online on the process operator's or dispatcher's computer is limited only by the size of the computer's disk and, in practice, can include history going back many years.

The Historian was built to process and record live data with an accuracy of 100 nanoseconds. The actual frequency of data recording, however, is derived from the possible rate of data retrieval through communication interfaces.

The designer can choose the method of data archiving:

  • Standard archive, in which data is collected in files in the internal format of the Aspad module, which guarantees data compression on the fly and redundant data deletion
  • X-archive, in which data is compressed and saved in blocks in the MS SQL database
  • Archive B, where each sample is saved separately without compression in the MS SQL database

Data is logged using UTC (Universal Time Coordination), leaving no room for ambiguity regardless of winter or summer time, and data from distributed systems in various time zones will be seen in each time zone stamped with the time specific for the individual zone.

The archived data are made available in the form of raw data or the aggregates to other modules of the Asix platform and third parties software.

The Aspad archiving module is available in every operator station and operator server license and does not require any additional fees.

Archiving features

  • 200,000 variables registered on a single server
  • Current data sampling period up to 10 samples per second
  • Accuracy of data time recording - 100 ns
  • Real-time recording up to several hundred thousand samples per second
  • Reading up to several million samples per second
  • Repeated values do not take up space in the archive
  • Subsequent records of values changes are subject to compression up to several bits per record
  • Back-filling of historical data
  • Archive data types: integer, floating point
  • Automatic management of archive library
  • Calculation and logging of a series of predefined aggregate values which significantly speed up advanced data analysis
  • Filling "on the fly" gaps in the archive, if only another computer is identified (automatically) in the network that has missing data in its archive

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