Experimental Physics and Industrial Control System
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There is another approach for high rate data. It is based on Normative Types in pvAccess that represent ND Arrays, Tables or statistical samples. These are collected into an HDF5 file. A File Manager Service helps to add metadata to allow fast searches and provenance for post analysis data. This work is being done as Beam Synchronous DAQ - but it is basically snapshots. It can also be used for continuous collection where the "snapshot" is at a set frequency and period. It has been demonstrated for scalars at 120 Hz. We do not know the fastest rate this can accomplish with the new Normative Types.
Access libraries are used with machine learning analysis codes (not sure of the language: matlab? python?)
> spreadsheet data shows up just fine..
> matlab files seem to be exporting just a single index per record
Yes, the Matlab export code only handles scalars.
In case of array data, you get the first element.
The code in question is this for the Matlab 'text file' *.m export
and this for the Matlab 'binary' *.mat export
In both places you'll see that it calls VTypeHelper.toDouble to try and turn the sample which might be double, enum, int, short, ... into a scalar for export.
You could try to update that code to check for VNumberArray and then export all array elements.
-Kay
- References:
- CS-Studio(Phoebus) Archive Viewer Matlab Export Issue Manoussakis, Adamandios via Tech-talk
- Re: CS-Studio(Phoebus) Archive Viewer Matlab Export Issue Kasemir, Kay via Tech-talk
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ANJ, 31 Jan 2021 |
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