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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 sensors combine 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

Technical information

Operational
Environmental
Regulatory & compliance

Operational


Calculate pump suction/discharge pressure, total head, and efficiency without additional instrumentation
Add unmeasured parameters into your operational dashboards
Automatic switchover to virtual sensors if physical devices fail
Standardised templates for rapid roll-out across sites

Environmental

Reduce energy usage by 5-15% through targeted efficiency improvements
Detect underperforming assets early, avoiding unnecessary consumption
Provide accurate, continuous operational data for environmental compliance metrics

Regulatory & compliance

Ensure uninterrupted measurement streams for compliance audits
Configure models to meet sector-specific standards
Maintain full history of inferred and physical measurements for regulator-ready reporting
Klarian
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