Oxygen content in flue gas is an important parameter for boiler combustion adjustment and operation.Reliable prediction and precise control of oxygen content in flue gas is an important prerequisite to ensure boiler combustion efficiency.Aiming at the problem of large lag and poor reliability of oxygen signal measurement in boiler combustion process,a prediction method of oxygen content in flue gas based on BP neural network is proposed.The oxygen content in flue gas of#1 unit 630 MW boiler in Tongling Power Plant is predicted.The test results show that the predicted results are in good agreement with the actual results,and the average mean square error is only 0.0277.Therefore,the soft measurement method based on BP neural network can effectively predict the oxygen content in flue gas and provide a basis for the optimization and adjustment of boiler combustion.
关键词
烟气含氧量/BP神经网络/优化运行
Key words
flue gas oxygen content/BP neural network/optimization operation
维普
万方数据