Air preheater fault monitoring method and system based on parameter prediction

Abstract

The invention discloses an air preheater fault monitoring method and system based on parameter prediction. Data processing is carried out according to the obtained DCS historical data to obtain a relation function F1 (X) of the unit load and the air leakage rate prediction value of the air pre-heater; an air preheater air leakage rate prediction value A is obtained according to the current unit load, and data processing is conducted through the air preheater inlet smoke oxygen amount O2I and the air preheater outlet smoke oxygen amount O2O which are obtained in real time to obtain the actual air preheater air leakage rate B; deviation operation is carried out on the predicted value A of the air leakage rate of the air preheater and the actual air leakage rate B of the air preheater; when the deviation value of the two values is greater than a first preset deviation value, an air leakage rate large alarm signal is sent out; according to the method, the air leakage rate abnormity of theair preheater is monitored on line; the air leakage rate of the air preheater can be calculated online, the predicted value of the air leakage rate of the air preheater is predicted through DCS historical data, when the deviation value of the two exceeds the limit, an alarm is given out, an alarm can be given out in the early degradation stage of air preheater sealing equipment, operators are reminded to check the equipment state, the air leakage rate is reduced, and the unit operation economy is improved.

Description

technical field [0001] The invention relates to the technical field of fault monitoring of generator sets, and more specifically, to a method and system for fault monitoring of an air preheater based on parameter prediction. Background technique [0002] With the increasingly market-oriented development of the power system, thermal power plants are undertaking more and more peak-shaving functions, requiring the unit to operate automatically at 30% to 100% of the rated load on the basis of stable operation, while protecting the environment. Requirements are becoming more and more stringent, and emission reduction is as important as safe operation. In order to control NOx emission targets and meet ultra-low emission target requirements, thermal power units can only reduce NOx emissions by excessive ammonia injection, which brings a negative effect of excessive The NH3 gas reacts chemically with flue gas sulfate to produce ammonium bisulfate, which combines with the dust in the...

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Problems solved by technology

[0003] In view of this, the purpose of the present invention is to provide a method for air preheater failure monitoring based on parameter prediction, to solve the problem that the existing air preheater air leakage rate adopts offline statistical analysis, which cannot visually monitor the change of air preheater air leakage rate and carry out Early warning and other issues

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