Service
Digital twin integration
Live representations of physical assets and processes. Real-time synchronisation between sensor data and digital models for visualisation, simulation, and scenario planning.
Live Asset Models
Virtual representations of recycling lines, manufacturing equipment, and production facilities updated in real-time from sensor data.
Process Visualisation
3D visualisations of material flow, equipment status, and operational metrics for faster decision-making.
What-If Analysis
Simulate process changes, capacity scenarios, and maintenance impacts before implementing in production.
Digital Twin Applications
Recycling Line Digital Twins
Real-time virtual models of sorting, washing, and pelletising operations
- Live material flow tracking
- Equipment status monitoring
- Throughput visualisation
- Contamination point identification
Manufacturing Process Models
Virtual representations of production lines with real-time sensor integration
- Production line simulation
- Quality parameter tracking
- Batch genealogy visualisation
- Energy consumption mapping
Predictive Maintenance Twins
Equipment models that predict failures and optimise maintenance schedules
- Vibration pattern analysis
- Wear and degradation modelling
- Maintenance window optimisation
- Spare parts forecasting
Facility-Wide Models
Complete site digital twins integrating multiple processes and systems
- Cross-process integration
- Resource allocation optimisation
- Capacity planning scenarios
- Environmental compliance tracking
Digital twin technologies
Visualisation
Three.js / WebGL
Browser-based 3D visualisation and interactive models
Unity / Unreal
High-fidelity 3D environments for complex facilities
Grafana / D3.js
Real-time data visualisation and dashboards
Data Integration
MQTT / OPC-UA
Industrial protocols for real-time sensor data
Apache Kafka
High-throughput streaming for live updates
TimescaleDB
Time-series storage for historical analysis
Simulation Engines
AWS IoT TwinMaker
Cloud-native digital twin service
Azure Digital Twins
Microsoft's IoT digital twin platform
Custom Simulation
Bespoke physics and process models
Our digital twin development process
Asset Discovery
Map physical assets, data sources, and process relationships to define twin scope.
Data Pipeline Setup
Connect sensors, PLCs, and existing systems for real-time data ingestion.
Model Development
Build 3D visualisations and process models that reflect physical reality.
Synchronisation
Establish real-time links between physical systems and digital representations.
Validation & Calibration
Verify twin accuracy against real-world measurements and adjust models.
Continuous Refinement
Ongoing model updates as processes change and new data sources become available.
