Adaptive Algorithm of Data Acquisition
Conventional Model of Data Acquisition (used by various brands):
- Data was measured in defined time interval (e.g. every minute), so they were not measured continuously, so some important value changes in between those measurements have been lost
- Every measured data was saved, so the values with no information (same value as before) were saved and they took valuable space
Adaptive Algorithm of Data Acquisition (new Adash system):
The volume of possible data saved is highly reduced in this way, so it ensures that saved data cannot take too much space and the access to the database is not slowed down (otherwise it would be). There is no need to purchase expensive SQL servers. There is database solution provided in DDS software, which controls the A3716 units. You can run the database system on the standard laptop.
How Adaptive Algorithm selects which data to save and which not?
- There is time interval for data saving determined, so if this interval is set to 1 hour and a values do not change significantly for e.g. 1 hour, it is saved after 1 hour anyway).
- Adaptive Algorithm can change some of its parameters on its own, so the data saving is optimized, e.g. for the process with very variable values it can increase the percentage value of significant change (e.g. from 5% to 10%) determining which measured values are saved. See the picture below how it affects acquired results.