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INTRODUCTION

The software SESEcPy has been developed by the research group Computational Engineering and Automation (CEA) at Wismar University of Applied Sciences. The software implements an Experiment Control according to the System Entity Structure / Model Base (SES/MB) infrastructure introduced for automatic execution of simulation experiments. Please read the documentation for further information. A comprehensive introduction to the SES/MB theory is given in the documentation of the SES modeling tool SESToPy. The software is written in Python3. It was tested with the simulation softwares Matlab R2018a (for Simulink), OpenModelica 1.12.0, and Dymola 2018.

EXECUTE

Copy SESToPy, SESMoPy, SESEuPy, and SESEcPy in one directory "SESMB_Infrastructure" like shown below.

SESMB_Infrastructure
|
-- SESEcPy
|
-- SESEuPy
|
-- SESMoPy
|
-- SESToPy

Copy the directory SESMB_Infrastructure in your home folder, e.g. C:\Users\<Username> (necessary for usage of Dymola as simulator, otherwise Dymola cannot simulate). Make sure, that the commands "omc", "matlab", and "dymola" are on the path and the programs are thus startable from the shell (depending on which simulator you want to use). This is described in the documentation of SESEuPy in detail.
The program can be executed from source. Python3 needs to be installed and the Python executable needs to be on the path. Open a shell and change with the cd command to the SESEcPy directory. The program then can be started with the shell command:

  • in Windows: python main.py
  • in Linux: python3 main.py

CHANGELOG

KNOWN BUGS, NOTES, TODO

LICENSE

This application is licensed under GNU GPLv3.

HOW TO CITE

Folkerts, H., Pawletta, T., Deatcu, C., and Hartmann, S. (2019). A Python Framework for Model Specification and Automatic Model Generation for Multiple Simulators. In: Proc. of ASIM Workshop 2019 - ARGESIM Report 57, ASIM Mitteilung AM 170. ARGESIM/ASIM Pub. TU Vienna, Austria, 02/2019, 69-75. (Print ISBN 978-3-901608-06-3)

Folkerts, H., Deatcu, C., Pawletta, T., Hartmann, S. (2019). Python-Based eSES/MB Framework: Model Specification and Automatic Model Generation for Multiple Simulators. SNE - Simulation Notes Europe Journal, ARGESIM Pub. Vienna, SNE 29(4)2019, 207-215. (DOI: 10.11128/sne.29.tn.10497),(Selected EUROSIM 2019 Postconf. Publ.)

Folkerts, H., Pawletta, T., Deatcu, C., Santucci, J.F., Capocchi, L. (2019). An Integrated Modeling, Simulation and Experimentation Environment in Python Based on SES/MB and DEVS. Proc. of the 2019 Summer Simulation Conference, ACM Digital Lib., 2019 July 22-24, Berlin, Germany, 12 pages.

Folkerts, H., Pawletta, T., Deatcu, C. (2021). Model Generation for Multiple Simulators Using SES/MB and FMI. SNE - Simulation Notes Europe Journal, ARGESIM Pub. Vienna, SNE 31(1) 2021, 25-32. (DOI: 10.11128/sne.31.tn.10554), (Selected ASIM 2020 Postconf. Publ.)

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Experiment Control for Python

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