IDiyas

For the Inventor, By the Inventor

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.

Patent No.:

US 10919791 B1

PDFFull Text
Date of Patent:
Feb. 16, 2021

Filed:

Sep. 26, 2018

Intelligent identification method of sludge bulking based on type-2 fuzzy neural network

Applicant:

Beijing University of Technology, Beijing, CN;

Inventors:

Honggui Han, Beijing, CN;

Hongxu Liu, Beijing, CN;

Jiaming Li, Beijing, CN;

Junfei Qiao, Beijing, CN;

Assignee:

BEIJING UNIVERSITY OF TECHNOLOGY, Beijing, CN;

Attorney:

J.C. Patents

Primary Examiner:

Roy Y Yi

Int. Cl.
CPC ...
C02F 3/00 (2006.01); G06F 30/20 (2020.01); C02F 3/12 (2006.01); G01N 33/18 (2006.01); G06N 3/04 (2006.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
C02F 3/006 (2013.01); C02F 3/12 (2013.01); G01N 33/18 (2013.01); G06F 30/20 (2020.01); G06N 3/0436 (2013.01); C02F 2209/02 (2013.01); C02F 2209/06 (2013.01); C02F 2209/16 (2013.01); C02F 2209/22 (2013.01); G06F 2111/10 (2020.01);
Abstract

An intelligent identification method of sludge bulking based on type-2 fuzzy-neural-network belongs to the field of intelligent detection technology. The sludge volume index (SVI) in wastewater treatment plant is an important index to measure the sludge bulking of activated sludge process. However, poor production conditions and serious random interference in sewage treatment process are characterized by strong coupling, large time-varying and serious hysteresis, which makes the detection of SVI concentration of sludge volume index extremely difficult. At the same time, there are many types of sludge bulking faults, which are difficult to identify effectively. Due to the sludge volume index (SVI) is unable to online monitoring and the fault type of sludge bulking is difficult to determined, the invention develop soft-computing model based on type-2 fuzzy-neural-network to complete the real-time detection of sludge volume index (SVI). Combined with the target-related identification algorithm, the fault type of sludge bulking is determined. Results show that the intelligent identification method can quickly obtain the sludge volume index (SVI), accurate identification fault type of sludge bulking, improve the quality and ensure the safety operation of the wastewater treatment process.

Find Patent Forward Citations

Loading…