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MonCenterLib

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MonCenterLib is a python library for geodetic monitoring. The library contains programs, designed to collect, process, analyze and visualize data for geodetic time series.

The library is being developed by the following concepts:

  • open source code;
  • python programming language;
  • an object-oriented programming;
  • the program code is executed on Linux (soon Windows) operating system;
  • the library's software modules are able to use in Jupiter Notebook, Google Colaboratory.

The following functions are implemented in the library:

  • connection to GNSS receivers, vertical movement sensor (VMS) and video inclinometer (VIM);
  • converting GNSS measurements to RINEX and other formats;
  • processing multiple GNSS measurements files in the geodetic monitoring network;
  • checking quality of GNSS measurements;
  • downloading files from the CDDIS online archive (boardcast and precise ephemerides, clock corrections, orbit parameters, observation files);
  • downloading files from the RGS Centre web service (observation files, obtaining information about stations of the FAGN);
  • documentation and examples of using the program code.

The MonCenterLib library needs to be supplemented with the following modules:

  • supporting for Windows system;
  • formation of time series of points in the geodetic network;
  • processing of measurement results of the VIM in real time and in post-processing;
  • construction of time series inclination for controlling elements in the geodetic network;
  • processing measurement results using the projected VMS in real time and in post-processing;
  • interaction with the geodetic monitoring database;
  • tracking acceptable values of deviations of geodetic monitoring parameters;
  • processing time series of the geodetic network to estimate of the structural stability of the monitoring object.

Modules

Package Module Class Description Status
root stream2file Stream2File This class is used to convert a stream to a file. You can choose type of connections: serial, TCP client and NTRIP. Ready
gnss tools4rnx RtkLibConvbin This class is based on the RTKLib software package. Convert RTCM, receiver raw data log and RINEX file to RINEX and SBAS/LEX message file. SBAS message file complies with RTKLIB SBAS/LEX message format. See more about RTKLIB here: https://rtklib.com/ Ready
postprocessing RtkLibPost RTKLIB contains a post processing analysis AP RTKPOST. RTKPOST inputs the standard RINEX 2.10, 2.11, 2.12, 3.00, 3.01, 3.02 (draft) observation data and navigation message files (GPS, GLONASS, Galileo, QZSS, BeiDou and SBAS) and can computes the positioning solutions by various positioning modes including Single‐point, DGPS/DGNSS, Kinematic, Static, PPP‐Kinematic and PPP‐Static. See more about RTKLIB here: https://rtklib.com/ Ready
quality_check Anubis This module is designed for monitoring the quality and quantity of multi-GNSS data.See more about G-Nut/Anubis here: https://gnutsoftware.com/software/anubis Ready
cddis_client CDDISClient This module is designed to download one or more GNSS files from the CDDIS archive https://cddis.nasa.gov/ Ready
rgs_client RGSClient This module allows you to download various GNSS files from the service https://rgs-centre.ru Ready
code_client CODEClient Client for downloading precise CODE products for GNSS processing. The class downloads files from the AIUB/CODE archive http://ftp.aiub.unibe.ch/CODE. Ready
bernese_tools Bernese52 Helper class for preparing Bernese 5.2 input files from GNSS station metadata. Ready
gnss_time_series parse_pos_file This function for parsing .pos file. The method returns header, name of columns and time series. Ready
station_power_simulator solar_power SolarPanelPower Solar panel power generation simulator. The class estimates hourly electrical power produced by a solar panel using historical meteorological data and solar geometry calculations. Ready
wind_turbine_power WindTurbinePower Wind turbine power generation simulator. The class estimates hourly electrical power output of a wind turbine using historical weather data and turbine performance parameters. Ready
power_balance PowerBalanceAnalyzer Energy balance simulator for autonomous stations. The class evaluates whether a set of energy sources (solar panels, wind turbines, etc.) can support a constant load, optionally including battery storage simulation. Ready
stats.stats_gost_R_8_736_2011 basic_stats calc_basic_stats Clause 5. Estimation of the measured value and the standard deviation. Ready
grubbs_filter grubbs_filter Clause 6. Detection and elimination of gross errors. Ready
composite_test check_normality_composite Clause 7. Confidence limits for random error. 7.3 For 15 < n <= 50 measurement results Ready
pearson_test pearson_chi_square_normality Clause 7. Confidence limits for random error. 7.4 For n > 50 measurement results Ready
mises_smirnov_test mises_smirnov_omega2_normality Clause 7. Confidence limits for random error. 7.4 For n > 50 measurement results Ready
confidence_random_error confidence_random_error Clause 7. Confidence limits for random error. 7.5 Confidence limits for the random error of the measured value. Ready
systematic_error systematic_error_confidence Clause 8. Confidence limits for the unexcluded systematic error. Ready
total_error total_error_confidence Clause 9. Confidence limits for the error in the estimate of the measured value. Ready
result_formatting format_measurement_result Clause 10. Presentation of results. 10.3 and Appendix E. Ready
format_measurement_components Clause 10. Presentation of results. 10.4 Ready
calc_save calculate_and_save_protocol Performs the full calculation in accordance with GOST R 8.736-2011 and saves the report to a text file. Ready
other vim Video inclinometer Soon
vms Vertical movement sensor Soon
analysis Soon

How to install

Basic install

  1. Don't forget to enable the python virtual environment;
  2. Run python -m pip3 install moncenterlib
  3. Ready to use.

Install in Google Colab

  1. Run !python -m pip3 install moncenterlib
  2. Ready to use.

Get the Source Code

MonCenterLib is actively developed on GitHub, where the code is always available.

  1. You can clone the public repository:
git clone https://github.com/DanielMamaev/MonCenterLib
  1. Once you have a copy of the source, you can embed it in your own Python package, or install it into your site-packages easily:
cd moncenterlib
python -m pip install .

Documentation and usage example

  • See documentation here
  • See examples code here

Release History

  • 1.1.1
    • fix func. get_path2bin.
  • 1.1.0
    • Added new modules in the gnss package, including tools for downloading CODE products and preparing Bernese 5.2 input files.
    • Added new packages for station power simulation and statistical processing according to GOST R 8.736-2011.
    • Fixed bugs and improved stability in existing modules.
    • Updated and expanded example code and notebooks.
  • 1.0.4
    • fix parse_pos_file method in gnss_time_series module
    • Added the ability to run multiple parallel processes. Module tools4rnx, class RtkLibConvbin
    • Added the ability to run multiple parallel processes. Module postprocessing, class RtkLibPost
    • New feature for get_daily_30s_data (station can be 'str' or 'list', type of file can be 'str' or 'list')
  • 1.0.3
    • Remake class Stream2File.
    • New output data from 'start' method of class RtkLibConvbin. Update docstring and tests.
    • Fix several bugs. Add new method 'config2dict'. Update tests and docstrings.
  • 1.0.2
    • Set timeout for ftps (5m).
    • Fix class Anubis.
    • Add new feature for cddis_client (imput range of dates or input list of dates).
  • 1.0.1
    • fix rule for bin files (anubis_2.3_aarch64_linux, convbin_2.4.3-34_aarch64_linux, rnx2rtkp_2.4.3-34_aarch64_linux, str2str_2.4.3-34_aarch64_linux)
    • fix readme file
  • 1.0.0
    • First release

Contacts

Official e-mail:

License

About

Project MonCenter - https://github.com/LoSG-GNSS/About-MonCenter

Metadata

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