The invention relates to a multi-dimensional high-resolution
turbine blade heat-flow
coupling field synchronous measurement method and
system, and the method comprises the steps: obtaining a target spot image of known space distribution in a measurement space, and building a three-dimensional
space mapping function; carrying out particle matching on the velocity field measurement original
image based on a three-dimensional
space mapping function, and reconstructing a three-dimensional
particle trajectory by adopting a self-adaptive grid
algorithm combined with
machine learning to obtain a high-resolution three-dimensional
velocity vector field; acquiring a temperature field measurement original image, performing three-dimensional space registration according to a three-dimensional
space mapping function, further calculating
voxel-level temperature distribution, and inverting a three-dimensional temperature field; and carrying out
coupling analysis on the three-dimensional
velocity vector field and the three-dimensional temperature field, and outputting a three-dimensional heat-flow
coupling cloud picture. According to the invention, multi-dimensional and high-precision synchronous measurement of the temperature field and the velocity field in the complex flow field of the
turbine blade is realized, the spatial resolution and dynamic response capabilities are remarkably improved, and a reliable experimental basis is provided for analysis and optimization of the cooling performance of the blade.