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.
Virtual Sensors for infrastructure where direct measurement is limited, costly or unreliable.
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.
Detect risk before damage occurs
Identify conditions that drive internal corrosion, helping teams prioritise inspection, meet regulatory requirements and prevent costly failures.
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.
Transparent, physics-informed models with confidence intervals, not black-box outputs
Built to use existing data sources before requiring new
Real-time values accessible through Juno
Provides additional visibility where direct measurement is weak or unavailable
From single sites to multi-asset networks
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
Virtual Sensors are available exclusively via Juno, Klarian’s operational insight platform, enhancing its ability to:

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