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Build Physics-Based Twins of Assets and Entire Processes

A TwinEdge digital twin is not a dashboard. It is a physics-based model of real equipment and process behavior, so teams can simulate changes, predict failures, understand downstream impact, and optimize maintenance before touching the actual system.

How It Works

Three steps from raw sensor data to asset physics, process simulation, and operational action.

01

Connect

Plug into supported sources via Modbus, OPC UA, MQTT, or file-based exchange. Additional connector requirements are reviewed during deployment planning.

02

Model

Physics-based asset models calculate real-time efficiency, degradation, capacity, operating envelope deviation, and failure risk from raw sensor data.

03

Simulate

Compose asset models into process twins and test what-if scenarios before touching the real system. What happens if a pump trips, a setpoint changes, or a storm hits?

Why TwinEdge Digital Twins?

Most "digital twins" are dashboards with a 3D render. TwinEdge twins are physics engines connected to maintenance action.

Asset Physics and Process Physics

TwinEdge models both individual asset behavior and entire process behavior using first-principles engineering models, pump curves, heat transfer equations, hydraulic calculations, and calibrated operating data.

Edge-Powered, Cloud-Visible

Physics models run on the edge for sub-second response. The cloud aggregates cross-site patterns. You get real-time local intelligence and strategic global visibility.

Operations Intelligence-Connected

When the digital twin detects a problem, Operations Intelligence receives the diagnosis, failure mode, recommended action, parts context, and approval path. No copy-paste between systems.

Interactive Schematics

Not static P&IDs. Live animated schematics that show flow, pressure, temperature, and equipment state in real time — with what-if controls built in.

Explore the Digital Twin Engine architecture

Ready to Build a Physics-Based Twin?

Tell us about your facility and equipment. We will show you what your asset and process twin looks like with your actual data.