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Research Article
Ke Zhou
North China University of Water Conservancy and Electric Power
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
The precise input of flocculant (PAC) and coagulant aid (PAM) into phosphate wastewater is a key problem to degrade the phosphate content in sewage water and make the total phosphate (TP) and suspended pollutants (SS) in sewage water reach the discharged standard. In this paper, a new method combining fuzzy control technology with wastewater treatment control system is proposed to establish an automatic control system suitable for phosphates removal treatment. Based on experiment data and current experience, the membership function and fuzzy rules are set, and the fuzzy control technology is obtained with simulation analysis, and the efficient treatment of sewage water was realized. It can be seen from the results that the fuzzy control technology could be applied to the phosphate removal control system for treating sewage water, and the standard of stable, accurate and efficient sewage treatment has been realized.
Keywords
Sewage Water Treatment, Automatic Control System, Fuzzy Control Technology, Simulation Analysis
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The full text of this article is available to read as a PDF.
No competing interests reported.
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CURRENT STATUS: Under Revision
Version 1
Posted 29 Jan, 2021
No community comments so far
Editorial decision: Major revision
On 07 Feb, 2021
Reviews received
Received 04 Feb, 2021
Reviewers agreed
On 02 Feb, 2021
Reviewers agreed
On 30 Jan, 2021
Reviewers invited
Invitations sent on 28 Jan, 2021
Editor assigned
On 28 Jan, 2021
Editor invited
On 26 Jan, 2021
Submission checks complete
On 26 Jan, 2021
First submitted
On 25 Jan, 2021
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A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
This preprint is under consideration at Discover Water. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Ke Zhou
North China University of Water Conservancy and Electric Power
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Revision
Version 1
Posted 29 Jan, 2021
No community comments so far
Editorial decision: Major revision
On 07 Feb, 2021
Reviews received
Received 04 Feb, 2021
Reviewers agreed
On 02 Feb, 2021
Reviewers agreed
On 30 Jan, 2021
Reviewers invited
Invitations sent on 28 Jan, 2021
Editor assigned
On 28 Jan, 2021
Editor invited
On 26 Jan, 2021
Submission checks complete
On 26 Jan, 2021
First submitted
On 25 Jan, 2021
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
The precise input of flocculant (PAC) and coagulant aid (PAM) into phosphate wastewater is a key problem to degrade the phosphate content in sewage water and make the total phosphate (TP) and suspended pollutants (SS) in sewage water reach the discharged standard. In this paper, a new method combining fuzzy control technology with wastewater treatment control system is proposed to establish an automatic control system suitable for phosphates removal treatment. Based on experiment data and current experience, the membership function and fuzzy rules are set, and the fuzzy control technology is obtained with simulation analysis, and the efficient treatment of sewage water was realized. It can be seen from the results that the fuzzy control technology could be applied to the phosphate removal control system for treating sewage water, and the standard of stable, accurate and efficient sewage treatment has been realized.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
The full text of this article is available to read as a PDF.
No competing interests reported.
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