🏭
Field Data
Sensors & Lab
→
🔗
Communication
Protocols & Gateways
→
🧠
Digital Twin
Models & Simulation
→
💾
Data Storage
Databases & Analytics
→
⚙️
Control Systems
PLC/SCADA/DCS
🚀 Implementation Recommendations for Lindström Project
Phase 1 - Data Foundation: Start with existing field instruments, implement Modbus TCP communication, and set up InfluxDB for time-series data storage. Use Python for initial soft sensor development.
Phase 2 - Digital Twin Core: Deploy SUMO or develop custom Python models for biological processes. Implement OPC UA for standardized communication with Siemens PLCs.
Phase 3 - Advanced Analytics: Add machine learning-based soft sensors, implement predictive maintenance algorithms, and integrate with existing SCADA systems.
Phase 4 - Optimization: Deploy advanced process control algorithms, implement real-time optimization, and add digital dashboard for operators.
Key Considerations: Ensure cybersecurity measures (network segmentation, VPNs), plan for system redundancy, and maintain backup communication paths for critical control loops.