AERO DAQ is a University of Vermont Engineering Capstone Project (SEED) team for the 2018-2019 academic year that is desiging a data acquisition system (DAQ) for AERO (Alternative Energy Racing Organization). The team consists of Senior AERO members Cullen Jemison, Jack Zimmerman, Peter Ferland, and Ryan Chevalier.
This program serves as the live frontend to the AERO DAQ project. It displays select data that is remotely transmitted from the car to a set of gauges and graphs. It allows for team members in the pit to view the current status of the car so they can inform the driver of any changes that need to be made to their driving style.
The program consists of a Python server using Twisted and a frontend/web GUI written in Javascript/HTML that utilizes the Epoch live graphing library to generate the gauges and graphs.
The Python server directly reads data from the car and presents a network endpoint that returns a single large JSON blob containing all the data when accessed via HTTP POST.
The Javascript frontend uses AJAX to request data from the server on a regular interval. The JSON data is parsed and used to update all the graphs and gauges on the page.
Note: This process will be streamlined in the future. Also, more dependencies will be added as the code is fleshed out.
Currently, this has only been tested on Linux. Some differences may exist in the setup process for Windows or MacOS.
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Install dependencies. This program requires Python 3.6+, as well as the
python3-venvpackage. -
Get the source code by either downloading the zip or using:
git clone https://github.com/uvmaero/aero-daq-live-visualizer -
Run the program using
run.sh. This will create a virtual environment (if it hasn't already been created), activate the virtual environment, install the required packages, and start the program.