A Neural Network Model of Combustion Characteristics of Power Plant Boiler
A neural network model and power plant boiler technology, applied in the field of power plant boiler combustion characteristics modeling, can solve problems such as premature learning, difficulty in determining the number of neurons in the hidden layer, and low training success rate
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[0031]A high-power power plant boiler is of the opposite type with front and rear walls. There are six sets of burners in three rows on each of the front and rear walls. Coal is blended and fired in layers. Each layer of burners is equipped with a secondary air box, and secondary air baffles are installed at both ends. The powder system cyclone separation baffle cannot be adjusted automatically, and the swirl secondary air lever is manual. According to the above boiler type, structural characteristics, conditions of automatic control and modeling objectives, select a subset of input signals (load, oxygen volume, primary air volume of burner group, opening degree of secondary air baffles of each layer) described in the method of the present invention , the coal quality of each layer, the output of each burner, and the opening of the front and rear burnout air baffles) are used as the model input, and the coal quality of each layer, the output of the burner, and the opening of th...
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