DigiTwin-CO2-SampleProject 2

CO2_Prediction:

Classes and methods to calculate the CO2 concentration trend for a zone were implemented. The calculation of the trend is done with a simple analytical model, where the air flow rate is calculated as a function of the opening area and the temperature difference between the inside and outside according to OENORM B 8110-3. With the calculated air volume flow, the CO2-concentration inside and outside and the CO2-emission in the zone, the trend of the CO2-concentration can be calculated for constant boundary conditions. In addition, classes for a database and sensors were implemented using SQLalchemy, which can read and write the latest measured value of a sensor in a database. The measurements are then used as a boundary condition for the calculation of the CO2 concentration.

MonitoringFaker

Generate measurement values for sensors, which initializes the databases for the sensors in the imported project and writes artificially generated measurement values to the databases.

SimultanCO2Prediction

Package, which integrates the SIMULTAN data-model in the CO2_Prediction-package.

Installation

Install via pip:

pip install DigiTwin_CO2_SampleProject

or:

pip install https://github.com/DerMaxxiKing/DigiTwin_CO2_SampleProject

Update:
pip install DigiTwin_CO2_SampleProject -U

This installs the packages CO2_Prediction, MonitoringFaker and SimultanCO2Prediction

If errors occur, try to update PySimultan:

pip install PySimultan -U

run_measurement_generator -project <path_to_your_projcet> -username <username> -password <your_password>

run_co2_prediction -project <path_to_your_projcet> -username <username> -password <your_password>

Resources
├── database_test.simultan

Resources
├── measurements.db

Resources
├── weather_database.db