Patrones de Diseño de Sensores Programables

Estudios de caso documentados de despliegues industriales de sensores programables.

3 patrones publicados

NOx Emission Soft Sensor for Coal-Fired Power Plant

A Just-In-Time Random Forest soft sensor predicts NOx emissions from coal-fired boiler process variables, achieving R²=0.93 and outperforming six benchmark models across variable load conditions.

EnergyPower Generation

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Soft Sensor for Effluent Quality Prediction in WWTP

An LSTM neural network and Random Forest ensemble predicts COD, TSS, and BOD from low-cost continuous sensors, replacing expensive lab-delay-driven monitoring in wastewater treatment plants.

Water & WastewaterMunicipal Infrastructure

Leer patrón → 03

Soft Sensor for Melt Flow Index in Polymerization Reactor

A data-driven soft sensor predicts Melt Flow Index (MFI) from routine process measurements, replacing slow laboratory analysis with continuous quality estimates in a polymerization reactor.

ChemicalsPolymer Production

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