🚀 Project: Design and Implementation of User Interfaces for Monitoring and Control of Smart Manufacturing Lab
📚 Domain: Industry 4.0 | Automation | Robotics | MERN Stack
This project implements a centralized platform for real-time monitoring, control, and data management of a Smart Manufacturing Lab.
Built around the concepts of Industry 4.0, it integrates:
- Automatic Storage and Retrieval Systems (ASRS)
- SCARA & COBOT robots
- Vision-based pattern detection
- A robust MERN stack system with role-based access control, real-time status updates, and intuitive GUIs.
✅ Develop user-friendly GUIs for customers and operators
✅ Real-time tracking & control of orders, machines, and production
✅ Robust, scalable database design for managing patterns, orders, production, and machine data
✅ Enable seamless integration with ASRS, SCARA, COBOT, and VIPER robots
✅ Implement secure, role-based access control
- Frontend: React (hosted on Firebase)
- Backend: Node.js, Express.js
- Database: MySQL (locally hosted)
- Additional: OAuth (authentication), Chart Libraries (visual insights), Postman (API testing)
- 📂 MVC Architecture: Ensures clear separation of concerns
- 🔄 Client-Server Model: React handles UI, Node.js/Express manages server logic & API routes, MySQL ensures data integrity
- 🗄️ Dynamic Rack Allocation: Shortest distance matrix optimizes storage and retrieval
- 🛡️ Role-Based Access: Distinct dashboards for Customers & Operators, enhancing security & usability
- Upload and manage patterns
- Place orders based on selected patterns
- Track order status and production workflow in real-time
- View new, pending, and completed orders
- Start, pause, stop production
- Monitor machine statuses (SCARA, COBOT, VIPER, ASRS)
- Access detailed production & machine histories
- Manage dispatch and oversee rack allocations
- Graphical dashboards for operators to visualize business metrics and production statistics.
- Customers, Patterns, Orders, Order Items
- Operators, Production, Machines, Racks, Locations, Processes, Dispatch
This ensures a modular, scalable design capable of adapting to future expansions (e.g., predictive maintenance, AR interfaces).
- 🚀 Achieved seamless real-time integration between UI, backend, robots, and database.
- 📊 Improved workflow efficiency with reduced manual intervention.
- 🔍 Enhanced data transparency and decision-making through intuitive dashboards.
- ⚡ Modular & scalable, aligning with Industry 4.0 principles.
- Integrate machine learning for predictive maintenance & analytics.
- Extend IoT-based sensor networks for more granular real-time insights.
- Deploy on cloud-based DB for better scalability.
- Explore AR interfaces for operator dashboards.
# Clone the repo
git clone https://github.com/your-username/your-repo.git
cd your-repo
# Install dependencies
npm install
# Run backend
node server.js
# Start frontend
cd client
npm install
npm start