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Operational Digital Twin

Build dynamic virtual models of physical assets, delivering real-time insights, accurate forecasts, and intelligent decision-making.

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Driven by data. Optimized with Hybrid AI.

An operational digital twin (ODT) is a dynamic virtual replica of a real-life asset for owner operators. Integrate all industrial data, connect to physics simulators, deploy physics guided machine learning, and deliver intuitive data visualizations that drive agility and value.

Using Cognite Data Fusion (CDF), heavy-asset organizations are improving brownfield asset performance using digitally enhanced twins of equipment, assets, and asset fleets.

By integrating live operational data from sensor networks with historical data, operational digital twin delivers both real-time as well as complete historical data in one accessible HMI and API, enabling:

  • Data that can be shared and acted on
  • Advanced, easy-to-access insights for all data consumers
  • Predictive maintenance
  • Production optimization
  • Improved safety
  • Faster responses to adverse events
Driven by Data

Actionable industrial data

Shaped by contextualization
SHAPED BY CONTEXTUALIZATION

Cognite Data Fusion integrates all industrial data, including time series, process diagrams, 3D models, event histories, asset models, unstructured documents and more, making it available and actionable to all data consumers, human and machine, within and outside of the industrial enterprise.

Hyper-advanced insights
HYPER-ADVANCED INSIGHTS

Generate advanced models combining physics to generate synthetic data, complemented with ML/DL for scale. Observe, analyze, and optimize to deliver reliable forecasts and actionable insights.

Predictive maintenance
PREDICTIVE MAINTENANCE

Predict emerging maintenance issues before they become problems by combining historical data and real-time monitoring. Schedule and address concerns in a timely fashion, reducing costly disruptions and downtime.

Scalable for operational excellence

From one to many
From one to many

Create a model for one asset, then scale it across an entire installation. Spend less time, effort, and resources on finding, cleaning, and contextualizing data, and more time on generating value.

Physical to digital and back again
Physical to digital and back again

Cognite Data Fusion combines data analytics with physics-based models to create a virtual clone of a physical asset. Run advanced simulations on the digital twin to test, observe, and predict outcomes, then implement them on physical systems.

Data to operational excellence
Data to operational excellence

Discover, test, and implement production optimization strategies and develop faster responses to adverse events. All thanks to an operational digital twin (ODT) informed by integrated data systems and providing advanced insights.

ODT-Diagram

Discover how Yokogawa used a digital twin to contexualize data

Request a demo to start building your digital twin

Use cases

31st August 2020
How Cognite Data Fusion helped one supermajor scale its digital solutions
31st August 2020
How Cognite Data Fusion reduced the time to value for one supermajor
25th August 2020
How Cognite Data Fusion helped OMV automate multiphase flow allocation

Operational Digital Twin: How Data Contextualization Provides A Complete, Actionable Understanding Of Industrial Operations

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