Design and Implementation of Intelligent Control System for Industrial Sewage Treatment Aeration Quantity

Xin Wang; Ran Li; Ling Li; Long Shuang Wang; Bin Qin

doi:10.4028/www.scientific.net/AMR.864-867.1445

Paper Titles

Numerical Simulation Study of Soluble and Conservative Liquid Chemicals Diffusion in Tidal River
p.1427

A Laboratory Simulation Test of Three Macrophyte Species to Reduce Total Phosphorus from Eutrophical Water
p.1433

Pollution Emission Audit in China Energy Conservation and Environmental Protection Group
p.1437

Research on Selective Catalytic Reduction (SCR) in Cement Kiln
p.1441

Design and Implementation of Intelligent Control System for Industrial Sewage Treatment Aeration Quantity
p.1445

Treatment Introduction of Oily Sewage Methods
p.1449

Removal of Phosphate Anions from Aqueous Solutions Using Dolomite as Adsorbent
p.1454

Experimental Research of Spouted Particulate Electrodes on Removal of Copper Wastewater
p.1458

Study on the Treatment of Nickel-Containing Wastewater by Spouted Bed Particulate Electro-Deposition
p.1462

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 864-867Design and Implementation of Intelligent Control...

Design and Implementation of Intelligent Control System for Industrial Sewage Treatment Aeration Quantity

Abstract:

Due to the characteristics of dissolved oxygen process, such as non-linear and time delay, the traditional control methods are not very ideal for the aeration quantity assignment in the major domestic wastewater treatment plants. An intelligent system that controls the aeration quantity of the wastewater treatment of biochemistry pools is adopted, which the feedback control and the intelligence model are used to keep the balance of aeration. Meanwhile, according to the concentration of dissolved oxygen, the rotational speed of the air blower is adjusted for the sake of saving energy. This control system has been realized by Schneider Premium TSX P57 PLC system and the results show that the system is stable and reliable.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 864-867)

Pages:

1445-1448

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.864-867.1445

Citation:

Cite this paper

Online since:

December 2013

Authors:

Xin Wang, Ran Li, Ling Li, Long Shuang Wang, Bin Qin

Keywords:

Concentration of Dissolved Oxygen, Industrial Sewage Treatment, Intelligent Control, Schneider Premium PLC

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Chaobin Liu. Intelligent control method research of sewage treatment process based on fuzzy neural network: [D]Beijing University of Technology , Beijing(2006). [In Chinese].

Google Scholar

[2] Cuiping Yin. The applications of PLC automatic control system in waterworks[J]. Measurement and Control Technology, 24 (10) (2005) : 32-35.

Google Scholar

[3] Fengwen Guo. Humble opinion to the problem of water treatment automation applications Fieldbus[J]. Water supply and drainage, 28 (5) (2005) : 82-84.

Google Scholar

[4] YingLong Li. The research and development of the monitoring system about renewable water device : [D] Dalian University of Technology, Dalian(2009). [In Chinese].

Google Scholar

[5] Wenliang Zhang. The design of Sewage treatment plant automatic control system: [D] Hunan university, Hunan （2007）. [In Chinese].

Google Scholar

[6] Xiang Zhang. The control of SBR sewage treatment system based on the fuzzy PID[D]. Wuhan university of science and technology, Wuhan (2009). [In Chinese].

Google Scholar