Sludge expansion intelligent identification method based on type II fuzzy neural network
A neural network, type 2 fuzzy technology, applied in the field of water treatment, can solve the problems of difficult to apply sewage treatment process, inability to accurately identify the type of sludge bulking diagnosis fault, inability to include the growth mechanism of microorganisms, etc.
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[0071] The present invention selects and measures the characteristic variable of sludge volume index SVI as dissolved oxygen concentration DO, total nitrogen TN, sludge load F / M, acidity and alkalinity pH, temperature T, acidity and alkalinity pH has no unit, and the unit of temperature is degree Celsius, and the above units are all is mg / L;
[0072] The experimental data comes from the water quality data analysis report of a sewage treatment plant in 2017; the actual detection data of dissolved oxygen concentration DO, total nitrogen TN, sludge load F / M, acidity and alkalinity pH, and temperature T are taken as experimental sample data, and abnormal experimental samples are excluded After remaining 1000 groups of available data, wherein 500 groups are used as training samples, and all the other 500 groups are used as test samples; the present invention adopts the following technical solutions and implementation steps:
[0073] The specific steps of the sludge bulking intellig...
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