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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.

Physics-based digital twin software

Model real assets and processes, test decisions, and connect findings to work.

TwinEdge digital twin software builds physics-grounded operational twins for industrial assets and processes. Teams attach telemetry, envelopes, and relationships so recommendations, simulations, and maintenance decisions can be explained against first principles instead of opaque scores alone.

Asset and process twins
Compose pumps, blowers, stations, plants, networks, and related assets with sensor mappings and operating context.
Physics-first evaluation
Use curves, equations, constraints, and envelopes to explain condition and test scenarios.
What-if and simulation hooks
Explore operating changes before committing field work or process changes where models support it.
Action and evidence path
Route twin findings into governed recommendations, AssetOps work, and field closeout evidence.

Best fit

  • Water and wastewater utilities, manufacturing teams, and facilities that need operational twins rather than design-only 3D models.
  • Engineering groups that require explainable model outputs next to live telemetry.

Scope and boundaries

  • A twin is only as good as its model scope, calibration, and sensor quality for the deployment.
  • TwinEdge twins are operational decision tools; they do not replace certified engineering signoff where required.

Buyer questions

Frequently asked questions

What is a physics-based digital twin?

It is a live operational model that combines asset identity, telemetry, engineering relationships, and first-principles behavior so teams can explain condition and evaluate decisions.

How is this different from a 3D visualization twin?

Visualization can show structure. TwinEdge emphasizes operating behavior, envelopes, process impact, and connection to maintenance and field evidence.

Where should a team start?

Start with one source, one asset class, and one measurable workflow — for example a pump station twin — before expanding to plant or network scope.

Which industries does TwinEdge twin software support?

Primary focus includes water and wastewater, with patterns for manufacturing, facilities, and other asset-intensive operations through shared platform modules.

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.