The application discloses a
maglev track irregularity random evolution modeling method, medium and equipment, and belongs to the field of track
engineering and random dynamics modeling. The method comprises the following steps: acquiring
maglev track irregularity data collected along the line direction, and acquiring track structure parameters and vehicle load statistical characteristics corresponding to the line; calculating the track irregularity state increment between adjacent sampling points, and constructing a
state variable set based on the track irregularity quantity, the track structure parameters and the vehicle load statistical characteristics; dividing the state interval according to the value range of the
state variable set, and statistically counting the conditional statistics of the state increment in each interval; and identifying the drift term and the
diffusion term function in the random
differential equation by using the conditional statistical information, through statistical inversion,
machine learning or a fusion mode thereof, and constructing a track irregularity random evolution model. The application can reflect the non-stationary and state-dependent characteristics of the track irregularity under the action of the track structure and the vehicle load, and can be used for track state evaluation, dynamics
simulation and maintenance decision.