Browse Source

upd

develop
Marius Isken 2 months ago
parent
commit
5d8607cf2c
  1. 2
      doc/source/index.rst
  2. 2
      src/idas_convert.py

2
doc/source/index.rst

@ -7,7 +7,7 @@ Main purpose is to quickly convert and downsample massive amounts of high-resolu
To handle the massive amount of data generated by DAS interrogators, the conversion tool is leveraging parallel IO and signal-processing processing.
On production systems a throughput of 200 MB/s can be archived while converting and downsampling (from 1 kHz to 200 Hz).
The signal processing routines are based on the `Pyrocko <https://pyrocko.org>`_, mature and well tested seismological framework.
The signal processing routines are based on `Pyrocko <https://pyrocko.org>`_, mature and well tested seismological framework.
.. figure:: _static/das-data-web.svg
:width: 90%

2
src/idas_convert.py

@ -667,8 +667,8 @@ class iDASConvert(object):
logger.debug('Joined load queue')
logger.debug('Joining processing queue')
self.processing_queue.join()
self.processing_thread.stop.set()
self.processing_queue.join()
logger.debug('Joined processing queue')
# Ensure it is the last element

Loading…
Cancel
Save