Aiming at optimizing the soot blowing for boiler

pollution status on-line monitoring model for heating surface was established by taking a 300 MW unit boiler as the object.Based on artificial neutral network(ANN)

cleaness coefficient F was introduced to represent the fouling condition of heating surface

and the calculation methods of F was discussed respectively

according to different surfaces such as high/low temperature convection heating surface and water wall.A parameter diagnosis model was established for sample data preprocessing to remove "bad values" and ensure the reality and continuity of thermal parameters.Analysis on ash accumulation curves of water wall area around RN01 soot blower and the low temperature superheater indicates that

the variation of cleaness coefficient is in accordance with the actual soot blowing situation.After soot blowing

the F increases dramatically.But as the operation time extending without soot blowing

it drops back to the normal value.This online model can reflect the actual pollution status of heating surface

to a certain degree.