This invention relates to the field of
rail transit technology, and in particular to a method and
system for detecting the fitting rate of mounting surfaces. The method includes: acquiring a
data cloud map of the component to be tested, wherein the
data cloud map includes a mounting surface and a
reference surface formed by data points; performing regression
processing on the
reference surface to obtain a regression surface of the component to be tested; aligning the regression surface with a
reference surface of a template model of a preset model of the component to be tested; and, after the regression surface and the model reference surface are aligned, obtaining the fitting rate of the mounting surface based on the proportion of the number of data points on the mounting surface whose measured distance is less than or equal to a preset
standard distance to the total number of data points. The purpose of this invention is to solve the problem of errors in the results of
rapid detection of the fitting rate of mounting surfaces of components to be assembled during the repair and
assembly of multiple parts on a high-speed
train, thereby eliminating the errors caused by relying on human experience in traditional methods.