Method for constructing digital twinborn model of coal-fired power generation equipment

The invention discloses a coal-fired power generation equipment digital twinborn model construction method, which comprises the following steps of 1, constructing a computable data model, and realizing data fusion and iterative optimization of information flow, control flow, data flow and decision flow of a physical space and a virtual space by adopting a multi-source data fusion and deep learning algorithm; defect data measured by a power plant is introduced, a digital twin model is solved, and a control system is allowed to adjust parameters of a set point. According to the method, the model construction elements of the digital twinning in different application scenes are defined, the digital twinning model construction process is standardized, the efficiency loss caused by the undefined application scene and the undefined modeling method is reduced, the extra fire coal amount for compensating the efficiency loss is quantified, and the method has the advantages of being high in practicability and the like.