Patrons de Conception Capteurs Logiciels
Études de cas sourcées sur des déploiements industriels de capteurs logiciels.
3 patrons publiés
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.
Lire le patron → 02Soft 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.
Lire le patron → 03Soft 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.
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