A Nox Emission Prediction Method for Thermal Power Plants Based on Generalized Cross-Entropy Autoencoder
An autoencoder and emission technology, which is applied in the field of NOx emission prediction of thermal power plants based on generalized mutual entropy autoencoder, can solve problems such as poor robustness of loss function, and achieve improved robustness and high practical engineering application value. , predict accurate and reliable results
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[0026] The invention takes the real data collected from the PI real-time database system of a power station under the Guodian Group as the experimental object, and trains the gated stacking target correlation autoencoder based on generalized mutual entropy.
[0027] A NO in Thermal Power Plant Based on Generalized Interentropy Autoencoder xThe emission forecast method, the steps are as follows:
[0028] Step 1: According to the actual measurement point data of the power station, select the boiler load (x 1 ), flue gas oxygen content (x 2 ~x 6 ), primary wind speed (x 7 ~x 12 ), secondary air volume (x 13 ~x 39 ), exhaust gas temperature (x 40 ) and coal quality data (x 41 ~x 43 ), the amount of powder fed by the pulverizer (x 44 ~x 49 ), the opening parameter of the exhaust air baffle (x 50 ~x 57 ) a total of 57-dimensional parameters are used as the input of the model, while NO x The emissions are taken as the true output y of the model.
[0029] Step 2: Prepro...
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