Soft-sensing method and system for effluent COD of a wastewater treatment system
A waste water treatment system and soft measurement technology, applied in neural learning methods, testing water, biological neural network models, etc., can solve problems such as expensive online measuring instruments, difficult maintenance, and long time for effluent COD measurement
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[0056] A soft sensing method for effluent COD of a waste water treatment system based on adaptive fuzzy C-means clustering fuzzy neural network, comprising the following steps:
[0057] (1) Determination of the hydraulic retention time HRT entering the A / A / O wastewater treatment system, the pH value of the influent, the DO of the aerobic tank and the reflux ratio r of the mixed solution, and the actual COD value of the effluent flowing out of the wastewater treatment system;
[0058] (2) collect the above-mentioned measured data sample, adopt self-adaptive fuzzy C mean value clustering algorithm, carry out cluster analysis to data, set up COD fuzzy neural network model in MATLAB according to the number of clusters obtained, model is trained, until the error meets the requirements;
[0059] (3) Embed the trained fuzzy neural network model in the industrial computer, and use the configuration software MCGS to build a human-computer interaction interface;
[0060] (4) Use OPC te...
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