This project is part of bachelor degree in Informatics, Data Science, at University of Bergen.
An ongoing collaboration between Department of Physics and Technology (IFT), Department of Earth Science, and Department of Mathematics at UiB are currently working on creating the second iteration of a fluid-flow-rig. The fluid-flow-rig is a physical tank used to study fluid flow and convection patterns.
Sensors will be placed on the fluid-flow-rig, providing real-time resistivity readings. Because of the number of sensors, frequency of data, and duration per intended fluid-flow-rig project, a visualization of the data is very useful.
My project will provide the functionality that enables the user to inspect both the live data, and previous readings in an ongoing project.
See the wiki
- Install python 3.7.6
- Clone repository
- Install pipenv
- Install dependencies:
python -m pipenv install -r requirements.txt - Start software: FluidFlower.bat
The batch file will create a virtual environment based on the pip files. The batch script also creates subdirectories ignored by git.
See wiki/File-Format
Before the corona lockdown, a prototype of the software where working (though with manually feeding input to a file-creator). The code for the protype is available here. However, the data and the file-creators are not included. For the curious, here is a video of the prototype testing