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METHOD FOR CONTROLLING A BOILER OF A REFUSE INCINERATION PLANT BY MEANS OF A TRAINED NEURAL NETWORK AND METHOD FOR TRAINING A NEURAL NETWORK FOR CONTROLLING A BOILER OF A REFUSE INCINERATION PLANT
METHOD FOR CONTROLLING A BOILER OF A REFUSE INCINERATION PLANT BY MEANS OF A TRAINED NEURAL NETWORK AND METHOD FOR TRAINING A NEURAL NETWORK FOR CONTROLLING A BOILER OF A REFUSE INCINERATION PLANT
This disclosure specifies a method for controlling a boiler of a waste incineration plant by means of a trained neural network, comprising: inputting input data into the trained neural network, the input data being based on parameters that include at least a boiler drum pressure, a combustion chamber temperature, a parameter of a waste feed system (1), a parameter of a combustion air duct system (HLA), a parameter of a flue gas exhaust duct system (HNA), and a parameter of a live steam pipe system (LBA); and- calculating and outputting output data by the trained neural network, the output data including at least control data for at least one control element that contains at least one air flap of the combustion air duct system (HLA).
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