2022
DOI: 10.3390/jmse10050683
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Research on COD Soft Measurement Technology Based on Multi-Parameter Coupling Analysis Method

Abstract: This paper presents a soft measurement technique for COD (Chemical Oxygen Demand) based on the multiparameter coupling analysis method. First, through mechanism analysis and correlation analysis of historical data during the measurement process, water quality parameters, such as hydrogen potential (PH), dissolved oxygen (DO), turbidity (TU), and electrical conductivity (EC), can be used to estimate COD values. To further improve the estimation accuracy of the water quality parameter model, we adopted a modelin… Show more

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Cited by 3 publications
(1 citation statement)
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“…Among them, the use of neural networks for soft measurement prediction of key indicator parameters in sewage treatment process has become a research hotspot.Zhang et al employed a modeling approach that combines a three-layer Back Propagation (BP) neural network with support vector machine to predict the chemical oxygen demand (COD) of lake water quality. The experimental results demonstrate the model’s excellent performance and reliable prediction outcomes [ 11 ]. Liu et al utilized least squares support vector Machine (LS-SVM) to establish a prediction model for effluent chemical oxygen demand (COD) in an anaerobic wastewater treatment system [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Among them, the use of neural networks for soft measurement prediction of key indicator parameters in sewage treatment process has become a research hotspot.Zhang et al employed a modeling approach that combines a three-layer Back Propagation (BP) neural network with support vector machine to predict the chemical oxygen demand (COD) of lake water quality. The experimental results demonstrate the model’s excellent performance and reliable prediction outcomes [ 11 ]. Liu et al utilized least squares support vector Machine (LS-SVM) to establish a prediction model for effluent chemical oxygen demand (COD) in an anaerobic wastewater treatment system [ 12 ].…”
Section: Introductionmentioning
confidence: 99%