This project aims to enhance the gelcoating process at TRYGONS SA by integrating a sophisticated digital twin developed in collaboration with iThermAI. The digital twin provides real-time tracking, predictive maintenance, and enhanced monitoring capabilities, significantly improving product quality, reducing downtime, and increasing operational efficiency.
- Real-time monitoring of gelcoating parameters
- Predictive maintenance alerts for pumps and filters
- Remote access and control through a user-friendly React dashboard
- Data logging and historical analysis for continuous process improvement
- Integration with existing robotic and pump control systems
- Reduce unplanned downtime and maintenance costs
- Improve product quality and consistency
- Enable real-time problem detection and immediate corrective actions
- Enhance overall operational efficiency and scalability
- Navigate to the
dashboarddirectory:cd dashboard - Install the required packages (Required only for the first time):
npm install
- Update the ip attribute in
./src/ip_backend.jsonto match the backend device's IP address. - Start the dashboard:
npm start
- Navigate to the backend directory (on the backend device)
cd backend - Build the Docker environment (Required only for the first time):
docker-compose build
- run the Docker environment:
docker-compose up
- Make sure the docker environment is running, then navigate to the rotary directory:
cd backend/rotary - Install the required Python packages (Required only for the first time):
pip install -r requirements.txt
- Start the data recording process:
python app.py
-
TRYGONS SA: Provided manufacturing infrastructure, integrated digital twin system, dataset collection, and validation.
-
iThermAi: Developed models, algorithms, and the dashboard for the digital twin.