The application discloses a terahertz environment
semantic map construction method based on a
physical information flow matching model, and relates to the technical field of communication.The method comprises the following steps: constructing a sparse directional beam received
signal strength dataset of a real scene collection, a real omnidirectional
radio map and a
training set of a real physical environment; constructing a flow matching model with a built-in three-class propagation region dynamic judgment module, taking the sparse data as a condition, integrating a
Helmholtz equation constraint and a regionalized power boundary constraint as double physical constraints, synchronously generating a
radio map and a physical environment by adopting a double-output U-Net architecture, and training through a non-classifier guiding mechanism; in actual application, sparse directional beam data is collected to input the trained model, and an omnidirectional
radio map and a physical environment of a current scene are generated by reasoning.The application solves the problems of sparse data and poor physical consistency in terahertz communication, reduces the hardware and
time cost, and improves the map construction precision and generalization ability.