Aiming at the problem of information fault from digital design to manufacturing in the whole product life cycle, a three-dimensional digital manufacturing implementation mode integrating design, process and manufacturing is proposed to realize the comprehensive integration and integration of information. On the design side, the standard files are constructed based on feature extraction, reconstruction and lightening technologies. On the process side, the MBD design and process model are integrated to build a three-dimensional process integration information model. On the manufacturing end, based on the unified standardized data interface table, three-dimensional visual monitoring is carried out for the whole process of product production and equipment operation, so as to realize heterogeneous collaboration, interconnection and transparent control from product design to manufacturing, and provide strong support for the digital transformation of manufacturing industry.
Aiming at the problems of low accuracy, low positioning accuracy and low efficiency of feature points extraction in existing binocular vision positioning methods, and classical Harris corner detection algorithms depending on the selection of experiential threshold and the setting of corner points extraction, a corner detection algorithm based on PSOHarris operator to detect the double threshold is proposed in this paper, which calculates the optimal threshold by dynamic iterative optimization of the threshold. On this basis, the feature point parallax is calculated to match the image features, and the coordinates of the world coordinate system are calculated according to the coordinates of the target point. The comparison experiments show that the algorithm effectively improves the positioning accuracy and efficiency of feature point extraction.
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