The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 21, 2020

Filed:

Feb. 07, 2018
Applicant:

Beijing University of Technology, Beijing, CN;

Inventors:

Honggui Han, Beijing, CN;

Junfei Qiao, Beijing, CN;

Wendong Zhou, Beijing, CN;

Assignee:

Other;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 31/00 (2006.01); G01N 33/18 (2006.01); G06N 3/08 (2006.01); C02F 3/30 (2006.01); C02F 3/00 (2006.01); G06N 3/00 (2006.01); G06N 3/04 (2006.01); C02F 101/10 (2006.01);
U.S. Cl.
CPC ...
G01N 33/18 (2013.01); C02F 3/006 (2013.01); C02F 3/30 (2013.01); G06N 3/006 (2013.01); G06N 3/0472 (2013.01); G06N 3/0481 (2013.01); G06N 3/08 (2013.01); G06N 3/088 (2013.01); C02F 3/308 (2013.01); C02F 2101/105 (2013.01); C02F 2209/001 (2013.01); C02F 2209/003 (2013.01); C02F 2209/005 (2013.01); C02F 2209/02 (2013.01); C02F 2209/04 (2013.01); C02F 2209/06 (2013.01); C02F 2209/08 (2013.01); C02F 2209/10 (2013.01); C02F 2209/16 (2013.01); C02F 2209/22 (2013.01);
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.


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