Load Distributed Temperature Sensing (DTS) files, calibrate the temperature and estimate its uncertainty.
Project description
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A Python package to load Distributed Temperature Sensing files, perform a calibration, and plot the result. A detailed description of the calibration procedure can be found at https://doi.org/10.3390/s20082235 .
Do you have questions, ideas or just want to say hi? Please leave a message on the ` discussions page <https://github.com/dtscalibration/python-dts-calibration/discussions>`_!
Installation
pip install dtscalibrationOr the development version directly from GitHub
pip install https://github.com/dtscalibration/python-dts-calibration/zipball/main --upgradePackage features
DTS measures temperature by calibrating backscatter measurements to sections with a known temperature. DTS devices provide a simple interface to perform a limited calibration. Re-calibrating your measurements with this Python package gives you better temperature estimates and additional options.
- Advanced calibration routine
Supports single- and double-ended setups
Compute uncertainty of the calibrated temperature
All measurements are used to estimate parameter values that are constant over time.
Weighted least-squares calibration
(Asymmetric) step loss correction so that fiber connectors can be used instead of welds/splices.
Matching temperature sections to support J-configurations
Dynamic reference section definition
Tools for merging and aligning double-ended setups
Data formats of most manufacturers are supported
Devices currently supported
Silixa Ltd.: Ultima & XT-DTS .xml files (up to version 8.1)
Sensornet Ltd.: Oryx, Halo & Sentinel .ddf files
AP Sensing: N4386B .xml files (single ended only)
SensorTran: SensorTran 5100 .dat binary files (single ended only)
Documentation
A full calibration procedure for single-ended setups is presented in notebook 07Calibrate_single_ended.ipynb and for double-ended setups in 08Calibrate_double_ended.ipynb.
Documentation at readthedocs.
Example notebooks (./docs/notebooks) that work within the browser can be viewed here.
How to cite
The following article explains and discusses the calibration procedure:
des Tombe, B., Schilperoort, B., & Bakker, M. (2020). Estimation of Temperature and Associated Uncertainty from Fiber-Optic Raman-Spectrum Distributed Temperature Sensing. Sensors, 20(8), 2235. https://doi.org/10.3390/s20082235
Cite the specific implementation / repository via Zenodo:
Check the version of dtscalibration that is used in your Python console with:
>>> # The following line introduces the .dts accessor for xarray datasets >>> import dtscalibration # noqa: E401 >>> dtscalibration.__version__ '3.0.1'
Go to Zenodo and follow the link to the version of interest.
The citation is found on the bottom right of the page.
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