Tool feature recognition method based on deep learning

A feature recognition and deep learning technology, applied in the field of tool feature recognition based on deep learning, can solve the problems of poor practicability and achieve good practicability
CN110472635BActive Publication Date: 2022-06-21NORTHWESTERN POLYTECHNICAL UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
NORTHWESTERN POLYTECHNICAL UNIV
Publication Date
2022-06-21

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Abstract

The invention discloses a tool feature recognition method based on deep learning, which is used to solve the technical problem of poor practicability of the existing non-standard special tool design method. The technical solution is to start with image vision, dig out the relationship between the machining features of the workpiece and the two-dimensional engineering drawing of the tool, and realize the reuse of the tool design scheme. First, based on the convolutional deep belief network generation model, the structure information and size information of the two-dimensional engineering drawing are fused, and the feature extraction of the high-dimensional tool image is performed to obtain the low-dimensional tool feature vector; then combined with the CDBN discriminant model and transfer learning, in the reuse On the basis of tool feature extraction network parameters, the relationship between processing features and tool feature vectors is mined; finally, through the two steps of tool classification based on Sofmax and similarity matching based on the cosine method of included angle, the tool feature vector to historical tool design scheme is realized. The mapping is good in practicability.
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Description

technical field

[0001] The invention relates to a non-standard special tool design method, in particular to a tool feature recognition method based on deep learning. Background technique

[0002] The design of non-standard special tools is a design process that relies heavily on design experience and knowledge. When designing a tool design scheme, designers usually compare new tool design requirements with previous tool design examples based on personal design experience. With the mature design experience and knowledge, the previous tool design examples are modified to meet the design requirements of the new tool.

[0003] At present, the main methods of tool design knowledge reuse are: case-based reasoning method, expert system-based method, rule-based reasoning method and so on. The document "Research on a tool matching method based on case-based reasoning, Aviation Manufacturing Technology, 2015, vol.474(5), 77-81" discloses a tool-matching method based on case-based rea...

Claims

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