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CAD drawing intelligent recognition method

An intelligent recognition and drawing technology, applied in the field of CAD drawing recognition, can solve problems such as poor practicability, achieve the effects of good practicability, high recognition speed and accuracy, and reduce labor consumption

Inactive Publication Date: 2019-10-08
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of poor practicability of existing CAD drawing recognition methods, the present invention provides an intelligent recognition method for CAD drawings

Method used

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  • CAD drawing intelligent recognition method
  • CAD drawing intelligent recognition method

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Experimental program
Comparison scheme
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Embodiment approach

[0030] Step 1. Manually mark a certain amount of CAD images to provide samples for the learning of neural network models; Step 2. Build a Faster-RCNN model, use labeled CAD images to train it, and deeply grasp the content information of CAD drawings Step 3, import the CAD drawings to be identified into the trained neural network model for classification, if a certain CAD drawing has no specific components (such as high and low voltage cabinets, distribution boxes, etc.) after detection, then Continue to import and identify the next CAD drawing, and if there is, identify and match the components and text information; step 4, display and store the matching results in the form of a BOM. The detailed implementation is as follows:

[0031] 1. Automatic classification of CAD drawings.

[0032] In the process of CAD drawing identification, the first thing to do is to automatically classify the CAD drawings. Through the classification, not only the drawings with certain components ca...

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Abstract

The invention discloses an intelligent CAD drawing recognition method used for solving the technical problem that an existing CAD drawing recognition method is poor in practicability. According to thetechnical scheme, a large number of imported drawings are classified, and whether an electrical device, components and other devices exist or not is automatically distinguished through a convolutional neural network based on a region. For a drawing containing the electrical device or the components, the components and the text information in the drawing are respectively positioned and recognizedby using a region-based convolutional neural network method. Each component matches with the corresponding text information, and generating a BOM list. A CAD drawing is processed and analyzed throughan intelligent recognition and matching method. Manpower consumption is reduced to a great extent. High recognition speed and accuracy are achieved and practicability is good.

Description

technical field [0001] The invention relates to a CAD drawing recognition method, in particular to an intelligent CAD drawing recognition method. Background technique [0002] The rapid development of computer technology makes it play an increasingly important role in many industries, such as engineering design, machinery manufacturing and other fields have enjoyed the convenience brought by computer technology, CAD technology is a very outstanding computer technology. Since the 21st century, the equipment manufacturing industry has generally used CAD software for engineering practice, which has profoundly changed the traditional product design methods and production models, and brought huge economic benefits to the economic development of society. However, with the accumulation of more and more CAD drawing files, the field of engineering design needs a method that can accurately extract the content of CAD drawings, so that enterprises can quickly complete quotation, design,...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V30/413G06V30/422G06V30/418G06F18/24G06F18/214
Inventor 杨涛周浩然石国伟
Owner NORTHWESTERN POLYTECHNICAL UNIV
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