The invention relates to the field of boiler prediction, and discloses a boiler real-
time data prediction system which is used for improving the accuracy of boiler fault prediction. According to the boiler real-
time data prediction system, intrinsic characteristics of
combustion fluctuation,
convective heat transfer, heat conduction and the like of a flow field in a boiler are extracted through computational fluid
mechanics characteristic
modal decomposition, a dynamic
state evolution model is built by combining
mass, energy and
momentum conservation laws, and
coupling prediction of a temperature field, a pressure field and a flow velocity field is achieved; and a non-equilibrium thermodynamic entropy generation principle is introduced to carry out physical consistency correction on a prediction result, so that high-precision prediction under the constraint of a thermodynamic law is ensured. And finally, mapping the risk indexes to a three-dimensional boiler model through a digital twinning technology, and generating an interactive early warning interface with
spatial positioning and
risk level visualization. According to the invention, a complete technical chain of
data acquisition, feature analysis,
state prediction and risk early warning is formed, and early accurate early warning and space positioning capabilities are provided for
safe operation of the boiler of the power
plant.