Matching REXS Models

This project aims to match two REXS models. REXS (Reusable Engineering EXchange Standard) is an interface for a simple data exchange in gear unit development which was developed by the FVA e.V., the German Research Institute for Drive Technology. A REXS model consists of diffenrent components and relations. For more information on REXS visit https://rexs.info/rexs_en.html. The goal of this project is to match two such REXS models. It is desired to assign components and relations of the first model to the components and relations of the second model. The matched components and relations should show similarities according to their attributes as well as their position in the structure of the model. For solving this problem a integer optimization framework was used.

Installation

1. Install Miniconda or Anaconda.
2. Create a new environment.
3. In the environment install:
   1. Pydantic version 1.8.2

      conda install -c conda-forge pydantic=1.8.2

   2. Pyscipopt

      conda install --channel conda-forge pyscipopt

   3. All requirements in requirements.txt

      pip install -r requirements.txt

Usage

1. In the settings.ini file provide the file paths for the REXS models to be matched. The REXS models must be given as a json-file.
2. Execute the main.py file.
3. The calculated matching will be saved in the folder "output" as a json file with the name output.json.