The invention relates to the technical field of multi-
source data fusion calculation, and discloses a multi-
source data fusion method and
system based on digital twinning, and the method comprises the steps: S1, collecting multi-
source data; s2,
data integration and preliminary proofreading; s3, time-space reference unification; s4,
feature extraction and logic association; s5, establishing a dynamic model; s6, behavior prediction and
risk assessment; and S7, deployment strategy adjustment and early warning. Through hierarchical
processing of a multi-source acquisition
library, a GIS basic
library, a history
library, a fusion library and a thematic library, repeated storage and redundant calculation of
original data are avoided, a federal learning technology realizes cross-department
collaboration on the premise of ensuring data privacy,
original data does not need to be concentrated, transmission and
processing amount are greatly reduced, and the
data processing efficiency is improved. And meanwhile, abnormal data are actively identified and cleaned by utilizing threshold limitation,
state logic verification and
Bayesian network reverse calculation, invalid information is eliminated in advance, and the calculation complexity during model updating is reduced, so that the response efficiency and the
information processing efficiency of the whole
system are effectively improved.