Digital Twin
Virtual asset representations with automated insight generation
Isomorphic Digital Twins
These are isomorphic twins, not traditional dashboards. The same state machine runs on the edge device, cloud, and dashboard—maintaining a 1:1 structural mapping with physical assets.
Physical Device ↔ Software Model ↔ Cloud Replica
Desired: Commanded state (cloud/dashboard → physical)
Reported: Actual state (physical → software)
Delta: Divergence (detects motor slip, sensor drift, faults)
💡 Tip: Check the delta value before commanding physical devices. High delta = physics problem.
Digital Twins
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Virtual assets
Healthy
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0% of total
Insights
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Generated insights
Unacknowledged
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Digital Twins
Manage virtual asset representations and state synchronization
Total
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Active
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Sync
Stopped
Insights
Automated insights from KPI analysis and anomaly detection
Total
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Pending
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Engine
Stopped
Getting Started
Digital Twins
- • Create virtual representations of physical assets
- • Monitor real-time state synchronization
- • Track twin health and sync status
- • Configure bidirectional state updates
Automated Insights
- • KPI calculation and tracking
- • Trend detection (increasing/decreasing/stable)
- • Anomaly detection with configurable rules
- • Predictive analytics and recommendations
Isomorphic State Sync
- • Reported: Physical reality (ground truth)
- • Desired: Software commands (setpoints)
- • Delta: Physics-based fault detection
- • Same state machine on edge/cloud/dashboard
Analytics & Predictions
- • Pattern detection algorithms
- • Time-series data aggregation
- • Future value forecasting
- • Actionable recommendations