Modularized neural network effluent ammonia nitrogen soft measurement method based on EMD algorithm
A neural network and modular technology, which is applied in the soft measurement field of effluent ammonia nitrogen of modular neural network, can solve the problems of high cost and long cycle of effluent ammonia nitrogen measurement, achieve the effects of reducing manual intervention, strong adaptability, and improving prediction accuracy
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[0059] The present invention provides a modular neural network-based soft sensing method for effluent ammonia nitrogen based on the EMD algorithm. The method utilizes historical data to predict the concentration of effluent ammonia nitrogen at the next moment in the future. The structural topology of the soft sensing method is as follows figure 1 As shown, the flow chart is as figure 2 As shown, the prediction of the concentration of effluent ammonia nitrogen is realized, and the problems of high cost and long cycle of effluent ammonia nitrogen measurement in the current sewage treatment process are solved;
[0060] The experimental data comes from the water quality analysis data of a sewage treatment plant from September 16 to September 22, 2014. There are 1008 effluent ammonia nitrogen concentration samples, 720 data (5 days) as training samples, and the remaining 288 data (2 days) as training samples. test samples;
[0061] A soft sensing method for effluent ammonia nitro...
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