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Virtual Sensors

Virtual Sensors for infrastructure where direct measurement is limited, costly or unreliable.

Virtual Sensors make the inaccessible visible

Virtual sensors deliver continuous insight where physical instrumentation can't. They use physics-informed models and existing operational data to estimate hard-to-measure variables, improving visibility where physical instrumentation is constrained by cost, location or operating environment.

Flow monitoring

See flow where sensors can’t

Infer accurate flow rates across your network using existing SCADA data, improving visibility in uninstrumented or hard-to-access sections without installing new hardware.

Internal corrosion

Detect risk before damage occurs

Identify conditions that drive internal corrosion, helping teams prioritise inspection, meet regulatory requirements and prevent costly failures.

Power apportioning

Understand where energy is really used

Break down power consumption across pumps and systems to identify inefficiencies, optimise energy use and support cost and emissions reduction targets.

What sets Virtual Sensors apart

Engineering-first, AI-augmented

Transparent, physics-informed models with confidence intervals, not black-box outputs

Rapid deployment

Built to use existing data sources before requiring new

Streaming inference

Real-time values accessible through Juno

Sensor resilience

Provides additional visibility where direct measurement is weak or unavailable

Scalable across fleets

From single sites to multi-asset networks

How Virtual Sensors work

Virtual Sensor combines physics-informed modelling with AI to transform existing sensor data – flow, pressure, temperature, power draw – into inferred values for parameters that are otherwise unmeasured.

Works in real-time or lookback mode

Modular, configurable models retrain automatically as new data becomes available

Key benefits of Virtual Sensors

Close measurement gaps – Infer pump efficiency, flow or burst risk where no sensor exists

Add resilience – Maintain operational visibility even if physical sensors drift or fail

Detect sensor drift early – Spot deviations weeks earlier with model-based trend analysis

Avoid CapEx – Deliver new insights without new hardware or costly retrofits

Support compliance – Maintain continuous, auditable data in regulated environments

Delivered through Juno

Virtual Sensors are available exclusively via Juno, Klarian’s operational insight platform, enhancing its ability to:

  • Provide deeper asset-level analytics
  • Enrich existing SCADA data streams
  • Back up physical sensors for uninterrupted operations
Virtual sensing across a pipeline network

Technical information

Operational

Inferred performance metrics

Calculate pump suction/discharge pressure, total head, and efficiency without additional instrumentation

SCADA enrichment

Add unmeasured parameters into your operational dashboards

Resilience mode

Automatic switchover to virtual sensors if physical devices fail

Fleet-wide deployment

Standardised templates for rapid roll-out across sites