Disclosed in the present application is a method for predicting the inlet
NOx concentration of a denitration
system of a thermal power
plant in consideration of
measurement delay. The method includes: determining influencing factors of the inlet
NOx concentration of a denitration reactor, and collecting the inlet
NOx concentration of the denitration reactor and data of the influencing factors of the inlet NOx concentration; determining a
measurement delay time of the inlet NOx concentration, and correcting the inlet NOx concentration; calculating a
correlation coefficient between the inlet NOx concentration and each of the influencing factors by using a
Fourier transform correlation coefficient method, and determining an output variable and an input
feature parameter variable that are used for prediction; on the basis of the determined output variable and input
feature parameter variable, training a prediction model by using a
machine learning
algorithm based on physical constraints; and collecting data of the influencing factors of the inlet NOx concentration at a current moment, and inputting same into the prediction model to obtain an inlet NOx concentration value at the current moment. Further disclosed is an apparatus for predicting the inlet NOx concentration of a denitration
system of a thermal power
plant in consideration of
measurement delay.