Patent · US Active

Measuring phosphorus in wastewater using a self-organizing RBF neural network

US10539546B2 · kind B2 · utility

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2References
14Claims
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Key dates

Filing dateFeb 7, 2018
Grant dateJan 21, 2020
Priority date—
Expiry dateFeb 7, 2038

Classification

  • Technology area (CPC C)Chemistry; Metallurgy
  • CPC primaryC02F2209/22
  • WIPO fieldMeasurement
  • WIPO sectorInstruments

Abstract

In various implementations, methods and systems are designed for predicting effluent total phosphorus (TP) concentrations in an urban wastewater treatment process (WWTP). To improve the efficiency of TP prediction, a particle swarm optimization self-organizing radial basis function (PSO-SORBF) neural network may be established. Implementations may adjust structures and parameters associated with the neural network to train the neural network. The implementations may predict the effluent TP concentrations with reasonable accuracy and allow timely measurement of the effluent TP concentrations. The implementations may further collect online information related to the estimated effluent TP concentrations. This may improve the quality of monitoring processes and enhance management of WWTP.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.