Soft Sensor
A soft sensor (virtual sensor) estimates a quantity that is hard or expensive to measure directly — like product quality or an internal temperature — from other available measurements using a model. It gives a real-time reading where a physical sensor is impractical.
Soft sensors use process data and a model (statistical or machine-learning) to infer a value continuously, instead of waiting for a lab test or installing a costly probe. Common uses include predicting product quality, emissions or composition from temperatures, pressures and flows. They enable tighter control and earlier intervention, and are a building block of advanced process control and predictive quality.
In context and practice
Soft Sensor is a key capability in industrial software, especially in 'AspenTech (aspenONE)', 'Seeq'. The platforms that do it well often have a competitive edge; the ones that struggle with it are easy to spot in demos.
Closely related terms include Advanced Process Control (APC), Predictive Quality, Machine Learning (Industrial). These concepts often work together in industrial practice — mastering one usually means understanding all of them.
In your plant: When planning maintenance, reliability or efficiency projects, clarify your approach to soft sensor. Ask vendors or consultants how they implement it. The specifics matter — two plants with the same definition of soft sensor may execute it very differently based on their equipment, age, and operational culture. The gap between definition and execution is where real value (or waste) lives.
Measuring success: Soft sensor programs succeed when you can measure their impact. Set a baseline, implement the practice, and track the outcome — downtime reduction, energy savings, cost avoidance, or compliance improvement. Most plants find that a 3–6 month pilot clarifies the true value and ROI of soft sensor. Don't guess; measure.
Why it matters: soft sensor is not an end in itself, but a lever in your plant's overall efficiency and reliability strategy. It works best when part of a system: clear ownership, investment in tools or training, executive sponsorship, and regular review. Isolated initiatives often fizzle. Embedded soft sensor programs compound, delivering value year after year as the practice matures and spreads.
Related terms
Advanced Process Control (APC) · Predictive Quality · Machine Learning (Industrial) · Process Historian
Software
AspenTech (aspenONE)
Process modelling and optimization for heavy process industry.
Seeq
Advanced analytics for time-series process data.
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.
Where this applies
Commissioning a new pharmaceutical production line · State of AI in Pharmaceutical Manufacturing 2026 · State of AI in the Chemical Industry 2026