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This research is based on the neural network of boiler efficiency analysis of calculation and analysis model. First of all, on the analysis of the various boiler efficiency calculation model on the basis of power plant boiler performance test code in China, combined with a 600 mw subcritical unit actual operation of boiler efficiency calculation model is given. Then using rough set from DCS system to achieve the data preprocessing, and then applied to smooth data training neural network, thus obtains the economic analysis of the neural network model. Finally, using the obtained neural network model, the impact of boiler economy the main parameters of excess air coefficient, primary air temperature, secondary air temperature and water temperature to carry on the analysis, and gives the several parameters operation of the recommended range.
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