Digital twins & spatial intelligence

A digital twin.
A clearer view of reality.

Paravision brings its real-time visualization, software engineering, interactive environments and integration expertise to digital twins. We connect a spatial representation to the information people need to understand an asset, compare scenarios and coordinate decisions.

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More than a model.
Connected to its purpose.

A 3D model describes form. BIM brings structured building information. A digital twin connects the representation to maintained information about the physical asset or environment, with update mechanisms defined around the use case.

The twin may use scheduled updates, enterprise records or live sensors. The right architecture follows the decision, data quality and operating reality. AI is an optional intelligence layer.

Wind energy / inside the nacelle

Go inside one wind turbine.

Explore an illustrative geared wind turbine in genuine 3D. Open its enclosure, follow the rotating drivetrain and inspect the parts that connect wind energy to electricity.

Wind park digital twin visual reference
GEARED TURBINE / 3D CUTAWAYReady to explore
Explore the model

Drag to orbit · scroll or pinch to zoom. All parts can also be selected below.

Rotor & hub

The blades capture energy from the wind and turn the rotor. Select a component to follow the energy path.

A park of connected assets

Connect each turbine identity to approved inspection history, environmental observations and operational telemetry. Explore turbine, substation and collection-network context in one spatial interface.

Optional AI, useful evidence

An evaluated AI layer can explain authorized maintenance records and prioritize items for human review. It must distinguish measured signals, missing data and model assumptions.

Training without production access

Use the cutaway to explain the energy pathway and equipment roles. Paravision integrates the 3D content, application, touch/XR interface and approved data connections.

Illustrative geared configuration; some turbines use direct drive. Motion speed and exploded spacing are explanatory, not engineering values or a power forecast. No live operational data is connected.

Wind park / from turbine to electricity

One turbine. A connected production ecosystem.

From aerodynamic energy to grid delivery.

The rotor captures wind energy; the geared drivetrain turns the generator. Power conversion, transformer equipment, the collection network and substation connect the turbine’s electrical output to the grid.

  1. Rotor & drivetrain
  2. Generator & power conversion
  3. Transformer & collection network
  4. Substation & grid interface

Measured context

A commissioned twin can show authorized rotor speed, vibration, temperatures, power and availability beside weather observations. Every value needs a unit, timestamp, quality state and accountable data owner.

Maintenance context

Connect a selected component to inspection history, work orders, approved procedures and replacement records. Visualize a maintenance window without confusing equipment availability with electricity output.

Optional predictive intelligence

Evaluate anomaly detection, component-health assessment and production forecasting against appropriate history. Show model assumptions and uncertainty, and keep operational approval with the responsible team.

The website illustrates the integration approach. It does not display measured production, calibrated turbine performance or live SCADA information.

Two routes. One integration partner.

Choose the intelligence
your project needs.

Digital twin without AI

Visible information.
Defined logic.

  • Explore buildings, spaces, infrastructure and assets in context
  • Connect approved asset records, dashboards and sensor feeds
  • Filter systems, compare defined scenarios and review history
  • Use rules, thresholds and deterministic simulations where specified
  • Maintain traceability through clear data ownership and update schedules

Best when the priority is a reliable shared view, operational visibility or a repeatable decision process.

AI-enhanced digital twin

Ask. Understand.
Evaluate the next step.

  • Ask questions about approved documents and asset information
  • Prepare source-linked summaries and contextual explanations
  • Explore anomaly detection and forecasting with suitable historical data
  • Compare evidence, assumptions and uncertainty
  • Prepare recommendations and follow-up for authorized human review

Best when richer knowledge access or evaluated predictive insight adds value. AI performance is tested against representative data before scale-up.

Sector applications

A spatial interface
for your operating world.

01

Real estate & portfolios

Connect masterplans, buildings, units and asset records. Support design review, sales presentation and portfolio understanding through a consistent spatial experience.

02

Smart cities & infrastructure

Bring geography, buildings, networks and approved indicators into a common context. Explore planning alternatives, infrastructure relationships and city-scale communication.

03

Energy & industrial environments

Place technical information, assets and operational dashboards in context. Scope monitoring and training experiences around the client’s approved systems and access rules.

04

Interactive rooms & experience centers

Connect the twin to touch tables, immersive walls, tablets and presenter controls. A shared environment helps teams explore the same question together.

05

Facilities & operations

Link equipment identity to approved records, maintenance history and condition information. Define the update route and operating responsibilities with the asset owner.

06

Education & simulation

Use spatial environments to explain systems, rehearse approved scenarios and support collaborative learning. Simulation assumptions remain visible to learners and instructors.

Paravision delivery architecture

From fragmented sources
to one working experience.

01

Define the decision

Agree the users, assets, questions, system boundaries and measures of success. Separate visual exploration from monitoring, simulation and prediction.

02

Prepare the spatial foundation

Align approved BIM, CAD, geospatial information, 3D assets or captured environments. Establish asset identities, coordinate systems and version ownership.

03

Connect the information

Map records, documents, APIs and selected sensor feeds to the relevant assets. Make refresh times and source limitations clear.

04

Build the experience

Develop the web, real-time, touch, room or XR interface with content and hardware planned together.

05

Add evaluated intelligence

When AI is required, define retrieval, access, evidence, model evaluation and human approval. Keep the conventional twin useful independently.

06

Commission & evolve

Test the end-to-end journey, document the integrations and train operators. Establish update, support and expansion workflows.

Let’s build an
intelligent experience.

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