RESUMEN

Dry substances (DS) are an important index for monitoring and controlling anaerobic co-digestion in biogas plants. We have developed and tested an online meter that measures suspended solids by means of the reflection coefficient of an exiting microwave signal, which is dependent on the dielectric properties of the suspensions. Intelligent models based on partial least squares regression (PLSR) and artificial neural network (ANN) for calibration allow exact and reproducible measurements under different circumstances. This measuring method is appropriate for contactless and online measurements of dry substance contents in biogas plants in a large range from 2-14%.

Asunto(s)

Algoritmos , Inteligencia Artificial , Biopolímeros/análisis , Biopolímeros/química , Residuos Industriales/análisis , Microondas , Radiometría/instrumentación , Agricultura/métodos , Desecación , Diseño de Equipo , Análisis de Falla de Equipo , Gases/química , Sistemas en Línea , Polvos/análisis , Polvos/química , Dosis de Radiación , Radiometría/métodos