EPyT-Flow -- EPANET Python Toolkit - Flow
Project description
EPyT-Flow -- EPANET Python Toolkit - Flow
EPyT-Flow is a Python package building on top of EPyT for providing easy access to water distribution network simulations. It aims to provide a high-level interface for the easy generation of hydraulic and water quality scenario data. However, it also provides access to low-level functions by EPANET and EPANET-MSX.
EPyT-Flow provides easy access to popular benchmark data sets for event detection and localization. Furthermore, it also provides an environment for developing and testing control algorithms.
Installation
EPyT-Flow supports Python 3.9 - 3.12
Note that EPANET and EPANET-MSX sources are compiled and overwrite the binaries shipped by EPyT IF EPyT-Flow is installed on a Linux system. By this we not only aim to achieve a better performance of the simulations but also avoid any compatibility problems of pre-compiled binaries.
PyPI
pip install epyt-flow
Git
Download or clone the repository:
git clone https://github.com/WaterFutures/EPyT-Flow.git
cd EPyT-Flow
Install all requirements as listed in REQUIREMENTS.txt:
pip install -r REQUIREMENTS.txt
Install the toolbox:
pip install .
Quick Example
from epyt_flow.data.benchmarks import load_leakdb_scenarios
from epyt_flow.simulation import ScenarioSimulator
from epyt_flow.utils import to_seconds
if __name__ == "__main__":
# Load first Hanoi scenario from LeakDB
network_config, = load_leakdb_scenarios(scenarios_id=["1"], use_net1=False)
# Create scenario
with ScenarioSimulator(scenario_config=network_config) as sim:
# Set simulation duration to two days
sim.set_general_parameters(simulation_duration=to_seconds(days=2))
# Place pressure sensors at nodes "13", "16", "22", and "30"
sim.set_pressure_sensors(sensor_locations=["13", "16", "22", "30"])
# Place a flow sensor at link/pipe "1"
sim.set_flow_sensors(sensor_locations=["1"])
# Run entire simulation
scada_data = sim.run_simulation()
# Show sensor readings over the entire simulation
print(f"Pressure readings: {scada_data.get_data_pressures()}")
print(f"Flow readings: {scada_data.get_data_flows()}")
Documentation
Documentation is available on readthedocs:https://epyt-flow.readthedocs.io/en/latest/
License
MIT license -- see LICENSE
How to Cite?
If you use this software, please cite it as follows:
@misc{github:epytflow,
author = {André Artelt, Marios S. Kyriakou, Stelios G. Vrachimis, Demetrios G. Eliades, Barbara Hammer, Marios M. Polycarpou},
title = {EPyT-Flow -- EPANET Python Toolkit - Flow},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/WaterFutures/EPyT-Flow}}
}
How to Contribute?
Contributions (e.g. creating issues, pull-requests, etc.) are welcome -- please make sure to read the code of conduct and follow the developers' guidelines.
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