The application discloses a
biomass gas
coupling coal-fired boiler
alkali metal slagging tendency intelligent prediction method and
system, relates to the field of slagging tendency prediction, obtains
flue gas temperature data of a target area of a boiler
convection heating surface, obtains ash fusion characteristic temperature and
alkali metal element content data of
mixed fuel fed into the boiler, performs self-adaptive correlation calculation of ash temperature-
liquid phase yield under physical constraints, calculates
coupling adhesion force, generates particle surface equivalent
adhesion strength distribution, based on the particle surface equivalent
adhesion strength distribution, counts particle turbulent collision physical parameters, determines effective collision adhesion efficiency based on energy competition, calculates the agglomeration growth rate of ash particles in a flow field, outputs ash particle
agglomerate spatial growth configuration, according to the ash particle
agglomerate spatial growth configuration, performs macroscopic mechanical characteristic analysis and bridge stability determination on the accumulation body of the
throat of a cold ash bucket, and outputs an ash bucket blockage
risk level, thereby effectively solving the cold ash bucket blockage problem.