Micro bearing production and manufacturing detection data processing method and system based on cloud computing

Abstract

The application discloses a cloud computing-based micro bearing production, manufacturing and detection data processing method and system, relates to the technical field of data processing, and comprises the following steps: collecting a defocus intensity image sequence of a micro bearing to be measured; calculating the rotational geometric center coordinates of an in-focus image, encapsulating the rotational geometric center coordinates, the defocus intensity image sequence and preset optical parameter data into a data packet to be measured; inputting a pre-trained physical unfolding self-supervised network, solving an initial phase tensor and constructing an initial concentric ring coordinate system; generating a flexible implicit sampling grid by using a physical texture vector flow field evolution, extracting a target latent vector and folding the target latent vector into a Cartesian reconstruction phase tensor; comparing Mahalanobis distances of the target latent vector, calculating a tensor difference value to generate an abnormal thermal matrix, and extracting absolute defect coordinates; deducing the Cartesian reconstruction phase tensor into a predicted defocus image, calculating a reconstruction confidence score, and substituting the reconstruction confidence score into a preset discrete proportional integral control equation to obtain an updated micro-motion defocus step length and an industrial camera exposure time.

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