The application discloses a scenic spot real scene three-dimensional digital twin dynamic construction method, and relates to the technical field of three-dimensional scene reconstruction and digital twin. The method comprises the following steps: constructing a global initial three-dimensional
Gaussian sputtering scene representation of a scenic spot; constructing a difference
perception state
anchor point comprising a state coding vector, a spatial context descriptor and a semantic signature for each
Gaussian cell; when a
physical change occurs in a target area, collecting sparse multi-view new images and obtaining camera poses, generating an expected image using the current scene representation and calculating a state deviation
score to determine a suspected change area; screening real change cells based on the difference
perception state
anchor point in the three-dimensional
Gaussian sputtering representation space; taking original
cell parameters as optimization prior values, performing local incremental optimization on a change core area and a boundary transition zone under a layered space
mask, and performing boundary consistency fusion and model updating after optimization is completed. The application realizes incremental updating of a digital twin model when a local change occurs in a scenic spot.