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Sludge Bulking Detection Method in Sewage Plant Based on Robust Adaptive Canonical Correlation Analysis

A canonical correlation analysis, robust adaptive technology, applied in the direction of analyzing materials, testing water, soil material testing, etc., can solve the problem of missed reports, reduce the consumption of manpower and material resources, save pollution fines, high sensitivity and precision. Effect

Active Publication Date: 2021-07-20
SOUTH CHINA UNIV OF TECH
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  • Application Information

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Problems solved by technology

However, when faced with sludge bulking, this method often has a large number of false positives

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  • Sludge Bulking Detection Method in Sewage Plant Based on Robust Adaptive Canonical Correlation Analysis
  • Sludge Bulking Detection Method in Sewage Plant Based on Robust Adaptive Canonical Correlation Analysis
  • Sludge Bulking Detection Method in Sewage Plant Based on Robust Adaptive Canonical Correlation Analysis

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with specific examples.

[0057] This embodiment provides a method for detecting sludge bulking in sewage plants based on robust adaptive canonical correlation analysis. 2 The robust adaptive canonical correlation analysis model of the detection map and the robust SPE detection map method, and then through the constructed robust adaptive canonical correlation analysis model, the sludge bulking of the sewage plant is detected online. The process is as follows: first, the sewage plant The collected data is standardized, and then the standardized data matrix is ​​robustly decomposed. The robust decomposition mainly uses the canonical correlation analysis and the constructed robust criterion function, and uses the robust load matrix and eigenvalue matrix obtained after the robust decomposition. respectively construct the corresponding robust T 2 The detection graph and the robust SPE detection graph, and ...

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Abstract

The invention discloses a sludge bulking detection method based on robust adaptive canonical correlation analysis, which needs to construct a fusion data matrix of robust decomposition, canonical correlation analysis, reconstruction robust T 2 The robust adaptive canonical correlation analysis model of the detection map and the robust SPE detection map method, through the robust adaptive canonical correlation analysis model constructed to conduct online detection of sludge bulking in the sewage plant: standardize the data collected in the sewage plant, After the data matrix is ​​robustly decomposed, the robust decomposition mainly uses the canonical correlation analysis and the constructed robust criterion function, and uses the obtained robust robust load matrix and eigenvalue matrix to construct the corresponding robust T respectively. 2 Detection map and robust SPE detection map, and finally, a robust adaptive control line is constructed to achieve effective monitoring of sludge bulking in sewage treatment plants. The invention can effectively warn the minor faults in the initial stage of sludge expansion.

Description

technical field [0001] The invention relates to the technical field of sewage plant sludge expansion detection, in particular to a sewage plant sludge expansion detection method based on robust adaptive canonical correlation analysis. Background technique [0002] Filamentous bacteria sludge bulking is a type of drift failure that often occurs in sewage plants. Unlike other types of failures, the bulking of filamentous bacteria sludge in real sewage plants often restores equilibrium after microbial self-regulation. What is more special is that the fault signal at the initial stage of sludge bulking is usually relatively weak, which is a typical type of small fault. The general monitoring method is difficult to give timely alarm at the initial stage of sludge bulking, and the continuous sludge bulking will eventually bring huge losses to the sewage plant. [0003] With the introduction of Industry 4.0, intelligent fault diagnosis technology has received more and more attent...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/18G01N33/24G06F17/16
CPCG01N33/1866G01N33/24G06F17/16
Inventor 程洪超黄道平刘乙奇吴菁
Owner SOUTH CHINA UNIV OF TECH
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