Real-Time Digital Twin - Visibility and Traceability
Built in Tracking and Visualization tools (2D, 3D, VR) for Real-Time digital twin shadow
- Provides Real-Time visualization of the operation in 2D, 3D, and VR
- Interactive entity properties lookup and display
- Simultaneously Connects to different RTLS tracking systems
- Auto-Generates entity relationship across data systems for Traceability
- Generates Heatmaps, congestion maps, and collision points
- Highlights bottlenecks and delays in Real-Time
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Digital Twin with AI - Predictive Analytics and Scheduling
Predict future constraints, Schedule adherence, and Proactive System Monitoring
- Accurately predict costs, efficiencies, inventories, and resource requirements
- Maintains a Comparison between current, standard, and predicted future state
- Schedule Adherence, Schedule Monitoring, and validation
- Real-Time Work Instructions delivered to the floor for maximum efficiency
- Proactive Maintenance and downtime prevention
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Digital Twin Live Metrics -Dynamic Dashboards
Simple drag and drop dashboard builder with unlimited layout capabilities
- Built in gauges, charts, grids and reports
- Ability to export data set on demand
- Connectivity to multiple data sources, including SQL, Oracle and other data warehouses
- Real-time dynamic update per dashboard component
- Role based Permission control for each dashboard item
- Mobile friendly view
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Machine Learning Digital Twin for Prescriptive Analytics and Control
Auto-learning model using an integrated AI engine and Neural Networks for Optimization, Real-Time Work
- System can be implemented on Premise, or as a Cloud based system
- Internal Self-Monitoring envrionment to maintain maximum up-time
- Self-Learning - Adding entities, items, locations is automatically detected from live data streams - No user intervention required
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