Selected work / Digital Twins

Digital Twin Operations

Real-time operational insight in a spatial environment

A working browser-based proof of concept combining interactive 3D, simulated equipment telemetry, warning states and maintenance information in spatial context.

An Intelligence Layer demonstrator / proof of concept using simulated operational data and recommendations.

The opportunity

Operational information is often spread across dashboards, maintenance systems, drawings and reports, making it difficult to understand asset status in spatial context.

The demonstrator

Digital Twin Operations brings a 3D facility environment, equipment information, simulated telemetry, maintenance records and warning states into one interactive browser experience. Five selectable assets include circulation pumps, an air handling unit, a buffer tank and an electrical distribution board.

What it demonstrates

  • Interactive 3D equipment selection and spatial operational context.
  • Simulated operational telemetry, trends and configurable warning thresholds.
  • Asset-specific maintenance history and inspection-task approval.
  • Desktop and mobile browser interaction, with orbit and zoom controls.

From signal to action

Select an asset, review its condition and inspect the supporting trend. For the primary pump, an elevated simulated vibration reading produces a rule-based inspection recommendation. An operator can approve a task and view it in the maintenance record. The 24-second walkthrough stages this flow automatically.

The result

A working proof of concept demonstrating how operational data and real-time 3D can be brought together in a spatial interface. The build provides a tangible basis for discussing asset context, condition review and maintenance workflows; it does not establish production performance or customer outcomes.

Facilities overview with the primary circulation pump operating within simulated limits.
Facility overview and simulated healthy equipment state.
Selected pump with a simulated vibration threshold warning and recommendation.
Simulated condition warning and rule-based recommendation.
Air handling unit selected with filter pressure and supply-air readings.
Asset-specific condition information in spatial context.
Maintenance panel showing an approved inspection task and previous service records.
Inspection approval and maintenance history; records are local to the demonstrator session.
Workflow from Blender asset modelling to browser telemetry, condition interpretation and human approval.
Demonstrator architecture. External enterprise integrations are proposed, not connected.

Technologies and platforms

Blender, Three.js, WebGL, glTF / GLB, Desktop browser, Mobile browser

Explore Digital Twin Operations online

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