dash-manufacture-spc-dashboard is a dashboard for monitoring read-time process quality along manufacture production line.
This is a demo of Dash interactive Python framework developed by Plotly.
- Dash - Main server and interactive components
- Plotly Python - Used to create the interactive plots
- Dash DAQ - styled technical components for industrial applications
We suggest you to create a separate virtual environment running Python 3 for this app, and install all of the required dependencies there. Run in Terminal/Command Prompt:
git clone https://github.com/plotly/dash-manufacture-spc-dashboard.git
cd dash-manufacture-spc-dashboard/
python3 -m virtualenv venv
In UNIX system:
source venv/bin/activate
In Windows:
venv\Scripts\activate
To install all of the required packages to this environment, simply run:
pip install -r requirements.txt
and all of the required pip packages, will be installed, and the app will be able to run.
Run this app locally by:
python app.py
Open http://0.0.0.0:8051/ in your browser, you will see a live-updating dashboard.
Click on Learn more button to learn more about how this app works.
Click on buttons in `Parameter' column to visualize details of trendline on the bottom panel.
Click 'Start' button, trends are updated every two seconds to simulate real-time measurements. The Sparkline on top panel and Control chart on bottom panel show Shewhart process control using mock data. Data falling outside of control limit are signals indicating 'Out of Control(OOC)', and will trigger alerts instantly for a detailed checkup.
Before measurements, operators may config specification parameters for selected process line(metrics).