Structural professional column attribute identification method based on combination of traditional image processing and deep learning

An image processing and deep learning technology, which is applied in the field of object detection technology to identify the attributes of columns, can solve the problems of time-consuming and labor-consuming, low accuracy of attributes, and low accuracy of attribute tables, and solve the problems of table style and position confusion, The effect of reducing over-reliance, improving accuracy and speed

Pending Publication Date: 2022-05-13
上海品览数据科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] The existing identification of structural professional columns is mainly based on traditional methods such as layering, manual labeling, and a large number of logical stacks. If the position is not fixed, there will be the following two main defects:
[0005] 2. The attribute table has a low accuracy rate obtained through logic, resulting in a low attribute accuracy rate

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  • Structural professional column attribute identification method based on combination of traditional image processing and deep learning
  • Structural professional column attribute identification method based on combination of traditional image processing and deep learning
  • Structural professional column attribute identification method based on combination of traditional image processing and deep learning

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[0029] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0030] Such as Figure 1-7 As shown, the present invention provides a structural professional column attribute recognition method based on traditional image processing combined with deep learning, the method includes the following steps:

[0031] S1, data preparation first;

[0032] S2. Analyzing the drawings to obtain a series of graphic elements;

[0033] S3, get all the graphic element lines in the column layer, and draw these graphic element lines on a blank base map;

[0034] S4, using traditional image processing methods to find the spaces of all columns;

[0035] S5. Using traditional im...

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Abstract

The invention discloses a structure professional column attribute identification method based on traditional image processing in combination with deep learning. The method comprises the following steps of firstly performing data preparation; analyzing the drawing to obtain a series of primitives; obtaining all primitive lines on the column layer; finding out spaces of all columns by using a traditional image processing method; using a traditional image processing method to find text information with Z near the column; obtaining a column attribute table position by using a deep learning method, and obtaining a position column number and attribute information; and matching the column number with the column number in the table to obtain the attribute of the column. According to the method, the problem of accurate recognition of components in CAD architectural design drawings is solved by applying a traditional image processing method, excessive dependence of component recognition on layers is reduced, column attribute tables are recognized by using a deep learning target detection method, the problem that table styles and positions are disordered can be effectively solved, and the recognition accuracy of the column attribute tables is improved. The accuracy and speed of obtaining the table position through logical judgment are improved.

Description

technical field [0001] The invention relates to the field of attribute recognition of columns in construction drawings of structural professional houses or basement wall columns, in particular to a method for attribute recognition of columns based on traditional image processing combined with deep learning target detection technology. Background technique [0002] CAD construction drawing refers to the drawing of the overall layout of the engineering project, the external shape, internal layout, structural structure, internal and external decoration, material method, equipment, construction, etc. of the building through AutoCAD software. CAD construction drawings have the characteristics of complete drawings, accurate expressions, and specific requirements. They are the basis for engineering construction, preparation of construction drawing budgets, and construction organization design. They are also important technical documents for technical management. Construction drawing...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/44
Inventor 朱峰李一帆彭靖田
Owner 上海品览数据科技有限公司
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