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CN113901539B - Automatic identification and application method of axis grid of architectural and structural CAD drawings - Google Patents

Automatic identification and application method of axis grid of architectural and structural CAD drawings Download PDF

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CN113901539B
CN113901539B CN202111047878.7A CN202111047878A CN113901539B CN 113901539 B CN113901539 B CN 113901539B CN 202111047878 A CN202111047878 A CN 202111047878A CN 113901539 B CN113901539 B CN 113901539B
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axis grid
axis
objects
extracted
information
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CN113901539A (en
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凡晓波
张友三
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Changsha Fanyi Parameter Information Technology Co ltd
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Changsha Fanyi Parameter Information Technology Co ltd
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    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]

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Abstract

本发明公开了一种建筑与结构CAD图纸的轴网的自动识别方法，所述建筑与结构CAD图纸的轴网自动识别方法包括如下步骤：S1，图纸初始化；S2，图纸元素读取；S3，图纸元素分析，初步提取轴网对象；S4，找到遗漏的轴网对象。本发明还公开了一种建筑与结构CAD图纸的轴网的应用方法。与现有技术相比，利用本发明一种建筑与结构CAD图纸的轴网的自动识别方法，可精准的提取轴网信息，且可将提取到的轴网信息应用于BIM建模中，协助解决BIM建模过程中单个建模对象的自动全局定位问题，提高BIM建模的自动化程度和效率。

The present invention discloses an automatic recognition method for the axis grid of architectural and structural CAD drawings, and the automatic recognition method for the axis grid of architectural and structural CAD drawings comprises the following steps: S1, initialization of drawings; S2, reading of drawing elements; S3, analysis of drawing elements, preliminary extraction of axis grid objects; S4, finding missing axis grid objects. The present invention also discloses an application method for the axis grid of architectural and structural CAD drawings. Compared with the prior art, the automatic recognition method for the axis grid of architectural and structural CAD drawings of the present invention can accurately extract axis grid information, and the extracted axis grid information can be applied to BIM modeling, which helps solve the problem of automatic global positioning of a single modeling object in the BIM modeling process, and improves the automation and efficiency of BIM modeling.

Description

Automatic identification and application method of shaft network of CAD drawing of building and structure
Technical Field
The invention belongs to the technical field of building information models, and particularly relates to an automatic identification and application method of a shaft network of a CAD drawing of a building and a structure.
Background
In the field of construction, building information modeling and management (BIM) is widely regarded as a novel tool capable of improving production efficiency and delivery quality. BIM can provide a visual building model for a building project. In the prior art, manual turnover is performed according to the content of the two-dimensional CAD drawing, so that a BIM model is formed, and the method is long in time and needs to consume a large amount of financial resources. Therefore, developing a technology capable of automatically converting CAD building drawings into BIM models is of great importance.
In developing a technology capable of automatically converting CAD building drawings into BIM models, the problem of automatic shaft network identification needs to be solved. The shaft net is a net composed of building axes, and is artificially marked on the center line of a symmetrical interface or a cross-section member according to the common standard of practice in order to mark the detailed size of the member in a building drawing. The shaft net is a main body frame for building drawing, and main supporting members of the building are arranged according to the positioning of the shaft net so as to achieve orderly arrangement.
In the prior art, a technical scheme for extracting an axial network object by finding an axial network layer is disclosed.
The prior art has the defects that because the prior building and structure CAD drawings are relatively complex in sources, drawing specifications of the drawings are not uniform, a large number of shaft nets in the building and structure CAD drawings are not all placed on the same shaft net in actual conditions, or other features are mixed in the shaft net layers, and in the case, the shaft net information is not extracted or a plurality of shaft net objects are extracted by adopting the method in the prior art, so that the shaft net extraction method in the prior art has poor applicability and inaccurate information extraction.
Disclosure of Invention
First, the technical problem to be solved
Based on the method, the invention provides an automatic shaft network identification and application method of a building and structure CAD drawing, and aims to solve the technical problems of poor applicability and inaccurate information extraction of a shaft network extraction method in the prior art.
(II) technical scheme
In order to solve the technical problems, the invention provides an automatic shaft network identification method of a CAD drawing of a building and a structure, which comprises the following steps:
S1, initializing a drawing
S11, determining a range of the shaft net to be extracted according to a CAD drawing of the building and the structure;
S12, frying all the image blocks in the range of the shaft net to be extracted into a basic object;
s2, drawing element reading
Reading a basic object in a range of an axis network to be extracted;
S3, drawing element analysis is carried out, and an axial network object is initially extracted
The method comprises the steps of analyzing scale objects in the range of an axis network to be extracted, finding all scale objects which are connected end to end and form a maximum surrounding area together, finding a line segment which coincides with a size boundary line forming the maximum surrounding area, finding all circle objects connected with the line segment in the range of the axis network to be extracted, analyzing the circle objects, and if the circle objects simultaneously meet the following three conditions:
the condition 1 is that the round object contains a text object;
condition 2, having a line segment connected to the edge of the circular object;
Finding a line segment which transversely or longitudinally coincides with the line segment connected with the round object according to the line segment, wherein the line segment is set as an auxiliary line of the axial net, and the auxiliary line is a longest transverse line or a longest vertical line in the range of the axial net needing to be extracted;
The circle object and the line segment connected with the edge of the circle object are initial extraction axis net objects; S4, finding out missing shaft net objects
According to the initial extraction shaft net object obtained by analysis in the step S3, the following information including the size of the shaft net circle, the layer of the shaft net text, the layer of the shaft net line section and the layer of the shaft net auxiliary line can be obtained;
And then searching reversely by utilizing the information to find out the missing axial network objects, wherein the missing axial network objects and the initial extraction axial network objects obtained in the step S4 form all axial network objects together.
Preferably, the building and structure CAD drawing in step S11 is specifically a plan view of a standard building floor of the project, and the plan view of the standard building floor of the project is a file in dwg format.
Preferably, in step S11, determining the range in which the axial network needs to be extracted includes two ways:
Cutting the standard layer plan into files containing only a single frame through the range determined by each frame in the standard layer plan;
and secondly, manually framing a single frame in the standard layer plan, and determining the range of the axis net to be extracted.
Preferably, the basic object in step S12 comprises a circle, a straight line, a multi-line segment, a polygon, a text, and a dimension line.
Preferably, when the range of the shaft network needs to be extracted in the step S12 and the block definition with the attribute is included, the attribute text needs to be restored, and the following steps are included in the step S12 and before the step S2:
s13, zeroing the Z coordinates of all objects in the range of the axis network needing to be extracted.
Preferably, before the step S1, the method further comprises the steps of checking whether the plan view of the project building standard layer can be normally opened and normally displayed by using AutoCAD software, and when the plan view of the project building standard layer is a file which is drawn by non-original CAD software and is in dwg format, converting the file into a native file.
The automatic identification method of the shaft network of the building and structure CAD drawing preferably further comprises the steps of S5, according to the fact that all shaft network objects are obtained in the step S4, extracting intersection points of the shaft networks in all different directions in an area surrounded by all the shaft network objects, wherein the intersection points comprise coordinate information of the intersection points and information of two shaft networks forming the intersection points, taking the intersection point closest to the left lower corner of the area surrounded by the largest area among all the intersection points as a datum point, calculating relative coordinate information from all the intersection points to the datum point, completing extraction of the shaft network information, and taking the extracted shaft network information as a main shaft network of the project building.
Preferably, the automatic shaft network identification method of the CAD drawing of the building and structure further comprises S6, storing shaft network information
And (5) saving the extracted shaft network information in the step (S5) as a txt file, saving the txt file in a cloud database, and finishing the storage of the shaft network information.
Preferably, the relative coordinate information in the step S5 refers to the distance from the intersection point to the reference point and the angle information, and the angle information refers to the included angle information between the connecting line of each intersection point and the reference point and the positive direction of the X coordinate axis.
The invention also discloses an application method of the shaft network of the building and structure CAD drawing, which comprises the following steps of completing modeling according to the building drawing or the structure drawing in the BIM modeling process, converting the shaft network data of each modeling object in the building drawing or the structure drawing into the shaft network offset of the project building obtained by the method, and automatically realizing the space positioning of each building model by combining elevation data.
(III) beneficial effects
Compared with the prior art, the automatic shaft network identification and application method for the CAD drawing of the building and structure has the advantages that:
the automatic identification method of the shaft network of the building and structure CAD drawing can assist in rapid filtration of shaft network information in the drawing identification process of a building drawing structure diagram, can accurately extract shaft network information, can apply the extracted shaft network information to BIM modeling, helps to solve the problem of automatic global positioning of a single modeling object in a project building in the BIM modeling process, and improves the automation degree and efficiency of BIM modeling. And the projection relationship of the elevation view is established through the axis network information and the elevation view.
Drawings
The features and advantages of the present invention will be more clearly understood by reference to the accompanying drawings, which are illustrative and should not be construed as limiting the invention in any way, in which:
FIG. 1 is a plan view of a project building standard layer in an automatic shaft network identification method of a building and structure CAD drawing according to an embodiment of the present invention;
FIG. 2 is a preliminary extracted shaft web object obtained by analyzing FIG. 1 by the automatic shaft web recognition method of the CAD drawing of the building and structure of the present invention;
FIG. 3 is a diagram of the analysis of FIG. 1 to find missing shaft net objects using the automatic shaft net recognition method of the CAD drawing of the building and structure of the present invention;
FIG. 4 is a diagram showing the analysis of FIG. 1 using the automatic identification method of the shaft network of the CAD drawing of the building and structure of the present invention, and the obtained shaft network objects;
FIG. 5 is an effect diagram of the FIG. 1 graph excluding the resolved objects such as the axis net and the scale;
fig. 6 is a schematic flow chart of an automatic shaft network identification method of a CAD drawing of a building and structure.
Detailed Description
In order that the above objects, features and advantages of the invention will be readily understood, a more particular description of the invention will be rendered by reference to the appended drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. The invention may be embodied in many other forms than described herein and similarly modified by those skilled in the art without departing from the spirit or scope of the invention, which is therefore not limited to the specific embodiments disclosed below.
The automatic shaft network identification method of the CAD drawing of the building and structure of the invention is further described below with reference to figures 1-6.
Referring to fig. 6, the invention discloses an automatic shaft network identification method of a building and structure CAD drawing, which comprises the following steps:
S1, initializing a drawing
S11, determining the range of the shaft net to be extracted according to the CAD drawing of the building and the structure.
S12, frying all the image blocks in the range where the axial net needs to be extracted into a basic object.
S13, zeroing the Z coordinates of all objects in the range of the axis network needing to be extracted.
S2, drawing element reading
The basic object within the range of the extraction axis network is read.
S3, drawing element analysis is carried out, and an axial network object is initially extracted
And analyzing the scale objects in the range of the shaft network to find all the scale objects which are connected end to end and form a maximum surrounding area together. Finding out a line segment which coincides with a size boundary line forming the maximum surrounding area, finding out all circle objects connected with the line segment in the range of the axis net to be extracted, analyzing the circle objects, and if the circle objects simultaneously meet the following three conditions:
the condition 1 is that the round object contains a text object.
Condition 2, there is a line segment connected to the edge of the circular object.
And 3, finding a line segment which transversely or longitudinally coincides with the line segment connected with the round object according to the line segment, wherein the line segment is set as an auxiliary line of the axial net, and the auxiliary line is the longest transverse line or vertical line in the range of the axial net needing to be extracted.
The circle object and the line segment connected with the edge of the circle object are initial extraction axis net objects.
S4, finding out missing shaft net objects
According to the initial extraction shaft net object obtained by analysis in the step S3, the following information including the size of the shaft net circle, the layer of the shaft net text, the layer of the shaft net line section and the layer of the shaft net auxiliary line can be obtained.
And then searching reversely by utilizing the information to find out the missing axial network objects, wherein the missing axial network objects and the initial extraction axial network objects obtained in the step S4 form all axial network objects together.
According to the specific embodiment of the invention, the building and structure CAD drawing in the step S11 is specifically a plan view of a project building standard layer, and the plan view of the project building standard layer is a file in dwg format.
In the above embodiment, a plan view of a standard floor of the building as shown in fig. 1 is selected.
Fig. 2 is a diagram showing a preliminary extracted shaft-net object obtained by analyzing fig. 1 by using the automatic shaft-net recognition method of the building and structure CAD drawing of the present invention.
Fig. 3 is a diagram showing the analysis of fig. 1 to find missing axis net objects by using the automatic identification method of the axis net of the building and structure CAD drawing of the present invention.
Fig. 4 is a diagram showing all the shaft net objects obtained by analyzing fig. 1 by the automatic shaft net identification method of the building and structure CAD drawing of the present invention.
Fig. 5 is an effect diagram after removing the resolved objects such as the axis net and the scale in fig. 1, and the diagram removes the information such as the axis net and the scale, and can be used as a basic drawing for identifying other components, which removes interference factors in the identifying process of other components, thereby being beneficial to improving the identifying precision and reducing the identifying difficulty of other components.
According to a specific embodiment of the present invention, in step S11, determining the range in which the shaft network needs to be extracted includes two ways:
in one approach, the standard floor plan is cut into files containing only a single frame through the range defined by each frame in the standard floor plan.
And secondly, manually framing a single frame in the standard layer plan, and determining the range of the axis net to be extracted.
It should be noted that:
(1) In step S12, all the tiles within the range where the axial net needs to be extracted are fried into the base object, which means that the tiles are decomposed by applying the decomposition command of Auto-CAD. The basic objects comprise a circle object, a straight line object, a multi-line segment object, a polygon object, a character object, a scale object and the like.
(2) In step S2, all objects in the range of the axis network need to be extracted are classified according to types, wherein the objects comprise a circle object, a straight line object, a multi-line segment object, a polygon object, a character object and a scale object. The scale object is a size, which is composed of a size boundary line, a size start-stop symbol, and a size number.
(3) In step S4, the reverse search refers to searching other axial net objects in the range of needing to extract the axial net according to the information such as the size of the axial net circle, the layer of the axial net text, the layer of the axial net line section, the layer of the axial net auxiliary line and the like in the initial axial net object, and the missing axial net object is found in the mode. For example, by searching for other circles in the layer of the axial circles, which have the same size as the axial circles, the circles are missing axial objects. Of course, missing axis net objects can be found through the layers of the axis net auxiliary line, the axis net line section and the axis net text respectively.
When the provided CAD drawing of the building and the structure is more standard (the standard refers to that the shaft net text is in the same layer, the shaft net circle, the shaft net auxiliary line, the shaft net line section and the like are respectively in the same layer or are in the same layer together), the missing shaft net characteristics can be quickly and accurately found through the mode. If the quality of the provided CAD drawing of the building and structure is lower, after the step of reverse search, the result of the reverse search needs to be manually checked, and the accuracy of the object is ensured by manually eliminating wrong selection or manually adding missing options. However, whether a step of manual verification is added or not, the automatic shaft network identification method for the CAD drawing of the building and structure still has higher efficiency compared with the existing manual mould turning operation mode.
According to an embodiment of the present invention, the basic object in step S12 includes a circle, a straight line, a multi-line segment, a polygon, a text, and a dimension line.
According to the embodiment of the present invention, when the tile definition with the attribute is included in the range of the shaft net in step S12, the attribute text needs to be restored.
According to the specific embodiment of the invention, the method further comprises the step of checking whether the plan of the project building standard layer can be normally opened and normally displayed by using AutoCAD software before the step S1. When the plan of the project building standard layer is a file which is drawn by non-original CAD software and is in dwg format, the file is converted into a primary file.
S5, according to the step S4, all the shaft net objects are obtained, and intersection points of the shaft nets in all different directions are extracted from the area surrounded by all the shaft net objects, wherein the intersection points comprise coordinate information of the intersection points and information of two shaft nets forming the intersection points. And taking the intersection point closest to the lower left corner of the maximum surrounding area among all the intersection points as a datum point. And calculating the relative coordinate information from all the intersection points to the datum points, and finishing the extraction of the axis network information, wherein the extracted axis network information is used as a main axis network of the project building.
In the implementation, if there is a supplementary shaft network in other drawings, it may be added to the main shaft network in step S5.
According to the specific embodiment of the invention, the automatic shaft network identification method of the building and structure CAD drawing further comprises the following steps:
S6, storing shaft network information
And (5) saving the extracted shaft network information in the step (S5) as a txt file, saving the txt file in a cloud database, and finishing the storage of the shaft network information.
In this embodiment, the range of the axial network to be extracted is determined by the plan view of the standard floor of the building in the project, and the range is used for extracting the information of the axial network of the building. Because the building standard layer corresponding to the plan of the project building standard layer is beneficial to extracting the information of the main shaft network, the accuracy of extracting the shaft network is improved.
According to the specific embodiment of the invention, the relative coordinate information in the step S5 refers to the distance from the intersection point to the reference point and the angle information, and the angle information refers to the included angle information between the connecting line of each intersection point and the reference point and the positive direction of the X coordinate axis. The relative coordinate expression mode is not a conventional expression mode in Auto-CAD software drawing, namely, the position of the intersection point of the shaft network is accurately determined through parameters of the distance and the included angle of the intersection point of the shaft network relative to the reference point.
Of course, in the implementation, other relative coordinate expression modes can be adopted, and the position of the intersection point of the axis network can also be accurately determined, for example, the increment parameters of the X axis and the Y axis of the intersection point of the axis network relative to the datum point.
The invention also discloses an application method of the shaft network of the building and structure CAD drawing, which comprises the following steps of completing modeling according to the building drawing or the structure drawing in the BIM modeling process, shifting and converting to the shaft network of the project building obtained in the implementation mode according to the shaft network data of each modeling object in the building drawing or the structure drawing, and automatically realizing the space positioning of each building model by combining elevation data.
In summary, the automatic shaft network identification method of the CAD drawing of the building and structure can assist in rapid filtering of shaft network information in the drawing identification process of the building drawing structure diagram, and can accurately extract the shaft network information.
The axis network information extracted by the axis network automatic identification method of the building and structure CAD drawing is applied to BIM modeling, so that the problem of automatic global positioning of a single modeling object in a project building in the BIM modeling process is solved, and the automation degree and efficiency of BIM modeling are improved.
Although embodiments of the present invention have been described in connection with the accompanying drawings, various modifications and variations may be made by those skilled in the art without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope of the invention as defined by the appended claims.

Claims (5)

1.一种建筑与结构CAD图纸的轴网自动识别方法，其特征在于，包括如下步骤：1. A method for automatically identifying axis grids of architectural and structural CAD drawings, characterized in that it comprises the following steps: S1，图纸初始化S1, drawing initialization S11，根据建筑与结构CAD图纸，确定需要抽取轴网的范围；确定需要抽取轴网的范围包括两种方式：S11, according to the building and structure CAD drawings, determine the range of the axis network to be extracted; there are two ways to determine the range of the axis network to be extracted: 方式一：通过标准层平面图中的每个图框确定的范围，将标准层平面图切割成仅包含单个图框的文件；Method 1: Cut the standard floor plan into files containing only a single frame according to the range determined by each frame in the standard floor plan; 方式二：通过手工框选标准层平面图中的单个图框，确定需要抽取轴网的范围；Method 2: Manually select a single frame in the standard floor plan to determine the range of the axis grid to be extracted; S12，将需要抽取轴网的范围内的所有图块炸开成基础对象，当需要抽取轴网的范围内包括带属性的图块定义，则需还原属性文字，所述基础对象包括：圆、直线、多线段、多边形、文字、尺寸线；S12, all blocks within the range of the axis grid to be extracted are exploded into basic objects. When the range of the axis grid to be extracted includes block definitions with attributes, the attribute text needs to be restored. The basic objects include: circle, straight line, multi-line segment, polygon, text, dimension line; S13，将需要抽取轴网的范围内的所有对象Z坐标归零；S13, returning the Z coordinates of all objects within the range of the axis grid to be extracted to zero; S2，图纸元素读取S2, drawing element reading 读取需要抽取轴网的范围内的基础对象；Read the basic objects within the range where the axis grid needs to be extracted; S3，图纸元素分析，初步提取轴网对象S3, drawing element analysis, preliminary extraction of axis grid objects 分析需要抽取轴网的范围内的标尺对象，找到首尾相连且共同形成一个最大合围区域的所有标尺对象；找到与组成最大合围区域的尺寸界线重合的线段，再找到需要抽取轴网的范围内与该线段相连的所有圆对象，并对该圆对象进行分析，若圆对象同时满足以下三个条件：Analyze the ruler objects within the range of the axis grid to be extracted, find all the ruler objects that are connected end to end and together form a maximum enclosed area; find the line segment that coincides with the dimension boundary that constitutes the maximum enclosed area, then find all the circle objects connected to the line segment within the range of the axis grid to be extracted, and analyze the circle object. If the circle object meets the following three conditions at the same time: 条件1：圆对象内包含文字对象；Condition 1: The circle object contains a text object; 条件2：有与圆对象的边线相连的线段；Condition 2: There is a line segment connected to the edge of the circle object; 条件3：根据与圆对象相连的线段找到与之横向或纵向重合的线段，该线段设为轴网辅助线，该辅助线为需要抽取轴网的范围内中最长的横线或竖线；Condition 3: Find the line segment that coincides with the circle object horizontally or vertically based on the line segment connected to the circle object, and set the line segment as the axis grid auxiliary line. The auxiliary line is the longest horizontal or vertical line in the range of the axis grid to be extracted; 则该圆对象及与该圆对象的边线相连的线段为初提取轴网对象；Then the circle object and the line segments connected to the edge of the circle object are the initially extracted axis grid objects; S4，找到遗漏的轴网对象S4, find missing grid objects 根据步骤S3中分析得到的初提取轴网对象，可得到如下信息：轴网圆圈的尺寸、轴网圆圈的图层、轴网文字的图层、轴网线段的图层、轴网辅助线的图层；According to the initially extracted axis grid objects analyzed in step S3, the following information can be obtained: the size of the axis grid circle, the layer of the axis grid circle, the layer of the axis grid text, the layer of the axis grid line segment, and the layer of the axis grid auxiliary line; 再利用以上信息反向搜索，找到遗漏的轴网对象，该遗漏的轴网对象与步骤S4中获得的初提取轴网对象共同组成全部轴网对象；Then, the above information is used to perform a reverse search to find the missing axis grid objects, and the missing axis grid objects and the initially extracted axis grid objects obtained in step S4 together constitute all the axis grid objects; S5，根据步骤S4中获得全部轴网对象，在全部轴网对象围成的区域内提取所有不同方向的轴网的交点，交点包含其自身的坐标信息和形成交点的两条轴网的信息；取所有交点中距离最大合围区域左下角最近的交点为基准点；计算出所有交点到基准点的相对坐标信息，完成轴网信息的提取，提取到的轴网信息作为项目楼栋的主轴网；相对坐标信息是指：交点到基准点的距离和角度信息，所述角度信息是指每个交点与基准点的连线与X坐标轴的正方向的夹角信息。S5, according to all the axis grid objects obtained in step S4, extract the intersection points of all axis grids in different directions in the area surrounded by all the axis grid objects, the intersection point contains its own coordinate information and the information of the two axis grids forming the intersection point; take the intersection point closest to the lower left corner of the maximum enclosed area among all the intersection points as the reference point; calculate the relative coordinate information from all the intersection points to the reference point, complete the extraction of the axis grid information, and use the extracted axis grid information as the main axis grid of the project building; the relative coordinate information refers to: the distance and angle information from the intersection point to the reference point, and the angle information refers to the angle information between the line connecting each intersection point and the reference point and the positive direction of the X-coordinate axis. 2.根据权利要求1所述的建筑与结构CAD图纸的轴网的自动识别方法，其特征在于，步骤S11中的建筑与结构CAD图纸具体为项目楼栋标准层的平面图，项目楼栋标准层的平面图为.dwg格式的文件。2. The method for automatically identifying the axis grid of the architectural and structural CAD drawings according to claim 1 is characterized in that the architectural and structural CAD drawings in step S11 are specifically the floor plans of the standard floors of the project buildings, and the floor plans of the standard floors of the project buildings are files in .dwg format. 3.根据权利要求1所述的建筑与结构CAD图纸的轴网的自动识别方法，其特征在于，在步骤S1之前还包括如下步骤：检查项目楼栋标准层的平面图是否能用AutoCAD软件正常打开，正常显示；当项目楼栋标准层的平面图为非原版CAD软件绘制.dwg格式的文件时，需将改文件转换成原生文件。3. The automatic identification method of the axis grid of the architectural and structural CAD drawings according to claim 1 is characterized in that before step S1, it also includes the following steps: checking whether the plan view of the standard floor of the project building can be opened and displayed normally using AutoCAD software; when the plan view of the standard floor of the project building is a .dwg format file drawn by non-original CAD software, the file needs to be converted into a native file. 4.根据权利要求1所述的建筑与结构CAD图纸的轴网的自动识别方法，其特征在于，所述建筑与结构CAD图纸的轴网的自动识别方法还包括：4. The method for automatically identifying the axis grid of architectural and structural CAD drawings according to claim 1, characterized in that the method for automatically identifying the axis grid of architectural and structural CAD drawings further comprises: S6，轴网信息的存储S6, storage of axis grid information 将S5中提取到的轴网信息保存为.txt文件并保存至云端数据库中，完成轴网信息的存储。The axis grid information extracted from S5 is saved as a .txt file and saved to the cloud database to complete the storage of the axis grid information. 5.一种建筑与结构CAD图纸的轴网的应用方法，其特征在于，包括如下步骤：在BIM建模过程中，根据建筑图纸或结构图纸完成建模后，根据每个建模对象在建筑图纸或结构图纸中的轴网数据，向如权利要求1-4任一项获得的项目楼栋的主轴网偏移转换，再结合标高数据，自动实现每个建筑模型的空间定位。5. A method for applying the axis grid of architectural and structural CAD drawings, characterized in that it includes the following steps: in the BIM modeling process, after completing the modeling according to the architectural drawings or structural drawings, according to the axis grid data of each modeling object in the architectural drawings or structural drawings, the main axis grid offset conversion is performed to the project building obtained as claimed in any one of claims 1 to 4, and then combined with the elevation data, the spatial positioning of each building model is automatically realized.
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