Combustor nozzle air volume prediction method based on numerical simulation and neural network
A burner nozzle and neural network technology, applied in the field of burners, can solve the problems of low measurement accuracy and efficiency, and achieve the effects of reducing human influence, omitting operation steps, and improving measurement accuracy
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[0032] Specific implementation mode one: refer to Figure 5 This embodiment is specifically described. The present invention proposes a method for predicting the air volume of burner nozzles based on numerical simulation and neural network, which simulates and predicts the flow of thermal secondary air in the thermal secondary air duct of thermal power units and the distribution of air volumes at each nozzle. To improve boiler combustion efficiency.
[0033] Based on the collected off-line data, the physical model of the hot secondary air passage of the boiler is established with numerical simulation software, and the relevant air volume, the distribution of the damper and the corresponding data files are generated. Get the data results, get the data results; use the data processing method to process the numerical simulation results; use the neural network prediction, and finally realize the prediction of the air volume of the burner nozzle under different working conditions, ...
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