CN110826118A

CN110826118A - Method and device for generating column factory variable cross-section splicing node of light steel structure

Info

Publication number: CN110826118A
Application number: CN201910844473.2A
Authority: CN
Inventors: 尤勇敏; 其他发明人请求不公开姓名
Original assignee: Jiuling Shanghai Intelligent Technology Co Ltd
Current assignee: Jiuling Jiangsu Digital Intelligent Technology Co Ltd
Priority date: 2019-09-06
Filing date: 2019-09-06
Publication date: 2020-02-21
Anticipated expiration: 2039-09-06
Also published as: CN110826118B

Abstract

The application relates to a method, a device, computer equipment and a storage medium for generating a column factory variable cross section splicing node of a light steel structure, wherein columns in a design interface are identified by automatically acquiring the types of elements in the design interface, the generation positions of the elements and the attribute information of the elements, then column combinations possibly needing to be spliced are screened through adjacent information, column combinations needing to be spliced are further screened through preset conditions, and finally the column factory variable cross section splicing node is generated according to the cross section size of the columns in the column combinations. According to the method, the column factory variable cross-section splicing nodes required by design software can be automatically generated without manually selecting the positions of the connecting pieces and setting parameters by a user.

Description

Method and device for generating column factory variable cross-section splicing node of light steel structure

Technical Field

The application relates to the technical field of computer aided design, in particular to a method and a device for generating column factory variable cross section splicing nodes of a light steel structure, computer equipment and a storage medium.

Background

The main body of the lightweight steel structure is composed of columns and beams. When the light steel is applied to building design, the column splicing is needed due to the limitation of the length specification of the column, and the column splicing in the building design is realized by placing the connecting nodes.

In the conventional technology, when a designer designs a connection node of a column, the designer needs to spend a lot of time manually positioning a position for placing a connection element and setting parameters of the connection element.

Disclosure of Invention

In view of the above, it is necessary to provide a method and an apparatus for generating a variable cross-section splicing node in a column factory with a light steel structure, a computer device, and a storage medium, which can automatically generate the variable cross-section splicing node in the column factory.

A method for generating a factory variable cross-section splicing node of a light steel structural column comprises the following steps:

identifying columns in the design interface according to the types of the elements in the design interface, the generation positions of the elements and the attribute information of the elements;

screening the columns according to the adjacent information of the columns to obtain a column combination, wherein the column combination at least comprises two columns which accord with a preset relative position relation;

and if the orientation information and the section size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet preset conditions, generating the variable-section splicing node of the column factory according to the section size of the column in the column combination.

obtaining target surface information for the pillars; the target surface information is used to characterize a pose of a target surface of the post; the target surface is an upper and/or lower surface of the post;

generating a virtual column according to the target surface information; wherein one surface of the virtual cylinder matches the target surface;

acquiring adjacent information of the column according to the intersection state of the virtual column and the comparison column;

screening the column according to the adjacent information of the column to obtain a column combination, wherein the column combination at least comprises two columns with the relative position relationship of up and down;

A device for generating a factory variable cross-section splicing node of a light steel structure column comprises:

the acquisition module is used for identifying columns in the design interface according to the types of the elements in the design interface, the generation positions of the elements and the attribute information of the elements;

the screening module is used for screening the columns according to the adjacent information of the columns to obtain a column combination, wherein the column combination at least comprises two columns which accord with a preset relative position relation;

and the splicing module is used for generating a column factory variable cross section splicing node according to the cross section size of the column in the column combination if the orientation information and the cross section size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet preset conditions.

A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any embodiment of the application when executing the computer program.

A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any of the embodiments of the application.

According to the method and device for generating the variable cross-section splicing node of the light steel structure column factory, the column in the design interface is identified by automatically acquiring the type of the element in the design interface, the generation position of the element and the attribute information of the element, then the column combination possibly needing splicing is screened through adjacent information, the column combination needing splicing is further screened through preset conditions, and finally the variable cross-section splicing node of the column factory is generated according to the cross-section size of the column in the column combination. According to the method, the column factory variable cross-section splicing nodes required by design software can be automatically generated without manually selecting the positions of the connecting pieces and setting parameters by a user.

Drawings

FIG. 1 is an application environment diagram of a method for generating a column factory variable cross-section splicing node of a light steel structure in one embodiment;

FIG. 2 is a schematic flow chart of a method for generating a column factory variable cross-section splicing node of a light steel structure in one embodiment;

FIG. 3 is a schematic view of a column type of a lightweight steel structure;

FIG. 4 is a schematic flow chart illustrating a refinement step of step S230 in one embodiment;

FIG. 5 is a schematic flow chart of the step of refining step S232 in one embodiment;

FIG. 6 is a flowchart illustrating the steps of step S232 according to an embodiment;

FIG. 7 is a schematic flow chart showing a refinement step of step S232 in another embodiment;

FIG. 8 is a flowchart illustrating a supplementary step of step S232 in another embodiment;

FIG. 9 is a schematic flow chart showing a refinement step of step S232 in another embodiment;

FIG. 10 is a schematic flow chart illustrating the step of refining step S233 in one embodiment;

FIG. 11 is an effect diagram of a column factory variable cross section splice joint of an embodiment of an H-column;

FIG. 12 is an effect diagram of a column factory variable cross-section splice joint of a box column in one embodiment;

FIG. 13 is an illustration of the effect of a column factory variable cross-section splice joint of a circular column in one embodiment;

FIG. 14 is a flowchart illustrating a method for obtaining adjacency relation of entity models according to an embodiment;

FIG. 15 is a flowchart illustrating a method for obtaining adjacency relation of entity models according to another embodiment;

FIG. 16 is a flowchart illustrating a method for generating a set of neighboring states between mockups according to an embodiment;

FIG. 17 is a flowchart illustrating a method for generating a set of neighboring states between mockups according to yet another embodiment;

FIG. 18 is a structural block diagram of a device for generating column factory variable cross-section splicing nodes of a light steel structure in one embodiment;

FIG. 19 is a diagram showing an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The generation method of the column factory variable cross-section splicing node can be applied to the application environment shown in fig. 1. The terminal 100 may be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers. The terminal 100 includes a memory, a processor, and a display. The processor may run architectural design software, which may be stored in the memory in the form of a computer program. The memory also provides an operating environment for the architectural design software, and the memory can store operating information for the architectural design software. Specifically, the display screen can display a design interface of the building design software, and a user can input information through the design interface to design a building. In one embodiment, as shown in fig. 2, a method for generating a column factory variable cross-section splicing node is provided, and the method is described by taking the application of the method to the terminal in fig. 1 as an example.

As shown in fig. 3, the column of the lightweight steel structure generally includes 3 types, i.e., an H-shaped column, a box-shaped column, and a circular column. The attribute information of the H-column and the box column includes flange width, flange thickness, flange orientation, web width, web thickness, web orientation, and the like, in addition to the length and the generation point. The attribute information of the circular column is basically consistent with that of an H-shaped column and a box-shaped column, but it is noted that the flange width and the web width of the circular column are consistent and are not distinguished.

The method specifically comprises the following steps:

and 210, acquiring columns in the design interface of the light steel structure according to the types of the elements in the design interface, the generation positions of the elements and the attribute information of the elements.

Specifically, the processor may obtain the operation information of the building design software from the memory, and obtain the type of the element, the generation position of the element, and the attribute information of the element in the current design interface according to the operation information. And then acquiring the columns in the design interface of the light steel structure according to the types of the elements in the design interface, the generation positions of the elements and the attribute information of the elements.

Alternatively, the processor may identify the element of the light steel structure in the design interface according to the generation position of the element and the attribute information of the element, and then identify the column in the light steel structure.

And S220, screening the column according to the adjacent information of the column to obtain a column combination.

The column combination at least comprises two columns which accord with a preset relative position relationship, and optionally, the preset relative position relationship of the columns in the column combination can be an up-down position relationship.

Specifically, the processor screens the columns according to the adjacent information of the columns to obtain a column combination. The processor screens out columns that have no adjacent column above or below. The column without the adjacent column at the upper part and the lower part does not need to be provided with a connecting node.

Optionally, the processor combines a column with a column adjacent to the column if there is an adjacent column above and/or below the column.

Step S230, if the orientation information and the section size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet preset conditions, generating a column factory variable section splicing node according to the section size of the column in the column combination.

Specifically, the processor firstly judges whether the orientation information and the cross-sectional size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet preset conditions, and if the orientation information and the cross-sectional size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet the preset conditions, a column factory variable cross-section splicing node is generated according to the cross-sectional size of the column in the column combination.

Further, after the processor determines that the orientation information and the cross-sectional size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet preset conditions, a connecting piece of the connecting node is selected according to the column shape of the columns in the column combination, and then the column factory variable cross-section splicing node is generated according to the cross-sectional size of the columns in the column combination and the selected connecting piece.

Further, the processor may determine that a connecting line of center points of adjacent columns in the column combination meets a preset condition of a center point, or that a column combination in which flange directions of adjacent columns in the column combination are aligned meets the preset condition. And judging the column combination that the connecting line of the central points of the adjacent columns in the column combination does not accord with the preset condition and the flange directions of the adjacent columns in the column combination are not aligned to be in accordance with the preset condition. Optionally, the preset condition may include whether the generated point connecting line is parallel to a z-axis of a coordinate system in the building design software. It should be appreciated that in building design, a coordinate system is typically predetermined, the coordinate system including an x-axis, a y-axis, and a z-axis, the z-axis being generally an axis perpendicular to a horizontal plane in a building design scenario.

In the method for generating the variable cross-section splicing node for the column factory in the embodiment, the column in the design interface is identified by automatically acquiring the type of the element in the design interface, the generation position of the element and the attribute information of the element, then, a column combination which may need to be spliced is screened through adjacent information, a column combination which needs to be spliced is further screened through preset conditions, and finally, the variable cross-section splicing node for the column factory is generated according to the cross-section size of the column in the column combination. According to the method, the column factory variable cross-section splicing nodes required by design software can be automatically generated without manually selecting the positions of the connecting pieces and setting parameters by a user.

In one embodiment, the connecting member of the column factory variable cross-section splicing node comprises a connecting center column, as shown in fig. 4, and the step S230 comprises:

and S231, acquiring the maximum web width of the intersecting beam based on the lower column in the column combination.

Wherein, the lower column is a column with a lower relative position in the column combination. Specifically, the processor obtains a maximum web width of the intersecting beam based on the target column.

And step S232, determining the placing position of the connecting center column according to the maximum web width and the center point or flange of the column needing to be subjected to shearing operation in the column combination.

Specifically, the processor determines the placement position of the connecting column according to the maximum web width and the central point or flange of the column needing to be cut in the column combination. Specifically, the column to be subjected to the shearing operation in the column combination may be determined according to the column type of the column. More specifically, when the column type of the center column in the column assembly is an H-shaped column, both the upper column and the lower column in the column assembly need to be cut. When the column type of the column combination center column is a box column and a round column, only the lower column in the column combination needs to be sheared.

And step S233, generating the column factory variable cross section splicing node according to the placing position of the connecting central column and the cross section size of the adjacent cross section.

Wherein the adjacent cross section is an adjacent cross section of an adjacent column in the column combination.

Specifically, the processor generates the column factory variable cross-section splicing node according to the placement position of the connecting columns and the cross-sectional size of the adjacent cross sections.

According to the method, the attribute information of the intersecting beam and the column is determined through the lower column in the column combination, the placing position of the connecting middle column is determined, and the column factory variable cross-section splicing node is generated according to the placing position and the cross-section size of the adjacent cross section.

In one embodiment, as shown in fig. 5, if the pillar type of the pillar assembly is an H-shaped pillar and the central point connecting line of the pillar assembly meets a predetermined condition, step S232 includes:

step S2321a, calculating the shearing length of the upper column and the lower column in the column combination according to the maximum web width.

Specifically, the processor calculates the shear length of the upper and lower columns in the column combination from the maximum web width. Optionally, the processor determines the shearing length of the lower column as the maximum web width plus a preset length; the processor determines the shear length of the upper column to be 1.5 times the maximum web width plus a predetermined length. Alternatively, the preset length may be 150 mm.

Step S2322a, performing a shearing operation on the upper and lower columns according to the shearing length so as to move the top center point of the lower column downward by the shearing length distance and move the bottom center point of the upper column upward by the shearing length distance.

Specifically, the processor performs a shearing operation on the upper and lower columns according to the shearing length such that a top center point of the lower column is moved downward by the shearing length and a bottom center point of the upper column is moved upward by the shearing length.

Step S2323a, determining the placement position of the connecting center post according to the moved top center point of the lower post and the bottom center point of the upper post.

Specifically, the processor determines the placement position of the connecting center post according to the moved top center point of the lower post and the moved bottom center point of the upper post.

In the embodiment, the placement position and the attribute information of the connecting central column are determined based on the structural characteristics of the columns in the column combination, so that the obtained column factory variable cross-section splicing node enables the main body of the light-weight steel to be firm and can meet the structural detail drawing of steel structure nodes of multi-story and high-rise civil buildings 16G519, the design specification of steel structures GB 50017 + 2017 and the load specification of building structures GB 5009 + 2012.

In one embodiment, if the column type of the column in the column assembly is an H-shaped column, the connecting member of the column factory variable cross-section splicing node further comprises a backing plate, as shown in fig. 6, step S232 further comprises,

step S2324a, determining the placement position of the lower column tie plate according to the moved top center point of the lower column.

Specifically, the processor determines the placement position of the lower column base plate according to the moved top center point of the lower column. Optionally, the processor shifts the top center point of the moved lower column downward by a preset distance to obtain the placement position of the lower column base plate.

Step S2325a, determining the placement position of the upper column pad according to the moved bottom center point of the upper column.

Specifically, the processor determines the placement position of the upper column base plate according to the moved bottom center point of the upper column. Optionally, the processor shifts the moved bottom center point of the upper column upwards by a preset distance to obtain the placement position of the upper column base plate.

In one embodiment, as shown in fig. 7, if the pillar type of the pillar assembly is an H-shaped pillar and the flanges of the pillar assembly are aligned, step S232 includes:

step S2321b, calculating the shearing length of the upper column and the lower column in the column combination according to the maximum web width.

Step S2322b, determining aligned flanges of the upper and lower columns, and performing a shearing operation on the upper and lower columns according to the shearing length, so as to move the top flange section of the lower column downwards by the shearing length and move the bottom flange section of the upper column upwards by the shearing length.

Specifically, the processor first determines the aligned flanges of the upper and lower columns, and then performs a shearing operation on the upper and lower columns according to the shearing length to move the top flange section of the lower column downward by the shearing length and the bottom flange section of the upper column upward by the shearing length.

Step S2323b, determining a placement position of the connecting center pillar according to the aligned positions of the top flange section of the moved lower pillar and the bottom flange section of the moved upper pillar.

Specifically, the processor determines the placement position of the connecting center post according to the aligned positions of the top flange section of the lower post and the bottom flange section of the upper post after the movement.

In one embodiment, if the column type of the column in the column assembly is an H-shaped column, the connecting member of the column factory variable cross-section splicing node further comprises a backing plate, as shown in fig. 8, step S232 further comprises,

step S2324b, determining the placement position of the lower column cushion plate according to the moved top flange section of the lower column.

Specifically, the processor determines the placement position of the lower column base plate according to the moved top flange section of the lower column. Optionally, the processor downwardly shifts the top flange section of the moved lower column by a preset distance to obtain the placement position of the lower column base plate.

Step S2325b, determining the placement position of the upper column cushion plate according to the moved top flange section of the upper column.

Specifically, the processor determines the placement position of the upper column base plate according to the moved bottom flange section of the upper column. Optionally, the processor shifts the moved bottom flange section of the upper column upwards by a preset distance to obtain the placement position of the upper column base plate.

In one embodiment, as shown in fig. 9, if the column type of the column combination center column is a box-type column or a circular column, step S232 includes:

step S2321c, determining the shearing distance of the lower column in the column combination according to the maximum web width.

Specifically, the processor determines a shear distance of a lower column in the column combination from the maximum web width. Optionally, the processor determines the shear lengths of the lower columns to each be the maximum web width.

Step S2322c, a shearing operation is performed on the lower column according to the shearing length so that the top center point of the lower column is moved downward by the distance of the shearing length.

Specifically, the processor performs a shearing operation on the lower column according to the shearing length so that the top center point of the lower column is moved downward by the distance of the shearing length.

Step S2323c, determining the placement position of the connecting center post according to the moved top center point of the lower post.

Specifically, the processor determines the placement position of the connecting middle column according to the moved top center point of the lower column. Optionally, the processor determines the moved top center point of the lower column as the placement position of the connecting middle column.

In one embodiment, as shown in fig. 10, step S233 includes:

step S2331, determining parameters of the upper and lower sections of the connecting central pillar according to the section sizes of the adjacent sections.

Specifically, the processor determines parameters of the upper and lower sections of the connecting center pillar according to the section sizes of the adjacent sections. Optionally, the processor determines the cross-sectional dimension of the adjacent cross-sections as the dimension of the corresponding upper and lower cross-sections of the connecting struts.

And step S2332, generating the column factory variable cross-section splicing node according to the parameters of the upper and lower cross sections of the connected central columns and the placing positions of the connected central columns.

Specifically, the processor generates the column factory variable cross-section splicing node according to the parameters of the upper and lower cross sections of the connecting central columns and the placing positions of the connecting central columns.

Similarly, when the connecting piece of the column factory variable cross-section splicing node comprises a base plate, the processor can also determine the attribute information of the base plate according to the attribute information of the upper column and the lower column, and then the base plate in the column factory variable cross-section splicing node is generated according to the attribute information and the placement position of the base plate.

The effect graph of the column factory variable cross-section splicing node of the H-shaped column obtained by the method of the embodiment can be shown in fig. 11. An effect diagram of the column factory variable cross-section splicing node of the box-type column obtained by the method of the embodiment can be shown in fig. 12. The effect graph of the column factory variable cross-section splicing node of the round column obtained by the method of the embodiment can be shown as figure 13.

The column factory variable cross-section splicing node generated by the method of the embodiment enables the main body of the light section steel to be firm and can meet the structural detail drawing of the steel structure node of the multi-story and high-rise civil buildings 16G519, the design specification of the steel structure GB 50017 + 2017 and the load specification of the building structure GB 5009 + 2012.

In one embodiment, step S220 may be implemented based on a preset neighbor algorithm. Specifically, the processor may calculate the neighborhood information of the columns by a neighborhood algorithm, and then screen the columns according to the neighborhood information to obtain a column combination.

In one embodiment, the neighborhood algorithm, when executed to process models (also referred to as solid models or model components, etc.) in building design software, can obtain neighborhood information between models. Alternatively, the model may be a beam, column, or like component in a building design software interface. Beams, columns, etc. assemblies may be used in connection with the design of light gauge steel structures. As shown in fig. 14, the implementation of the adjacent algorithm specifically includes:

s11, acquiring target surface information of the target model; the object surface information is used for characterizing the pose of an object surface in an object model, wherein the object surface is one of the surfaces of the object model.

Specifically, the processor obtains target surface information (e.g., a flange surface of a pillar) of the target model, the target surface information being information about a target surface in the target model, wherein the target surface is one of a plurality of surfaces of the target model. It should be noted that the target surface information may include, but is not limited to, the size, shape, orientation, and relationship between the solid model and the target surface, and the target surface information can characterize the pose of the target surface.

S12, generating a virtual entity according to the target surface information; wherein one surface of the virtual entity matches the target surface.

Specifically, the processor may stretch or stretch the target surface along a normal direction thereof according to the target surface information, thereby generating a virtual entity, one surface of which is matched with the target surface. It should be noted that the virtual entity is generated along a target surface, wherein one surface is attached to the target surface, so that the surface of the virtual entity can match the target surface, for example, the shape and size of the surface attached to the target surface in the virtual entity match the target surface, further, the shape and size of the surface match the target surface, or the difference between the two is smaller than a preset range.

S13, determining the adjacent relation between the target model and the comparison model according to the intersection state of the virtual entity and the comparison model, wherein the adjacent relation is adjacent information.

Specifically, the processor may perform intersection judgment between the virtual entity and the other comparison models to obtain an intersection state of the virtual entity and the comparison models, and then determine an adjacent relationship between the target surface and the comparison models according to the intersection state of the virtual entity and the comparison models, and at the same time, may further determine an adjacent relationship between the target models and the comparison models. The comparison model may be an entity model, which needs to perform the judgment of the adjacent relationship with the target model, in other entity models besides the target model. It should be noted that the intersection state may include intersection and disjointness, where intersection means that two solid models overlap in space, that is, a collision occurs between the solid models, which is not a practical situation. The adjacent relation can include adjacent and non-adjacent, and adjacent means that two solid models do not collide, are close to each other, and are two solid models which need to be connected or fixed.

In this embodiment, the processor may obtain target surface information of the target model, generate a virtual entity matched with the target surface according to the target surface information, and then determine an adjacent relationship between the target model and the comparison model according to an intersection state of the virtual entity and the comparison model. Because the target surface information is used for representing the pose of the target surface in the target model, and the target surface is one surface of the target model, the processor can automatically obtain the adjacent relation among a plurality of entity models based on the model surface information of the entity models by adopting the method in the embodiment, and further is applied to the conditions of automatically generating connecting nodes, automatically filling materials and the like, thereby further reducing manual operation, avoiding the problems of low efficiency and easy error caused by manual operation, greatly improving the design efficiency and greatly improving the design accuracy. Meanwhile, the method greatly improves the automation degree in the design process, further reduces the learning cost of designers, and further reduces the design cost.

Optionally, the target surface information comprises a size of the target surface, a position of the target surface and a normal to the target surface. In this embodiment, the target surface information includes the size of the target surface, the position of the target surface, and the normal direction of the target surface, and the target surface can be reasonably extended, so as to obtain a virtual entity matched with the target surface, and therefore, the adjacent relationship between the target model and the comparison model can be obtained by intersection judgment of the virtual entity and the comparison model.

Optionally, on the basis of the foregoing embodiments, step S12 may specifically include: generating the virtual entity along the normal direction of the target surface according to the target surface information; the size of the surface perpendicular to the normal direction of the target surface in the virtual entity is the same as that of the target surface, and the thickness of the virtual entity is used for representing a judgment threshold value of the adjacent relation. Specifically, the computer device may stretch or stretch along a normal direction along the target surface according to the size of the target surface based on the target surface information, thereby generating the virtual entity. Based on this, the size of the surface perpendicular to the normal direction of the target surface in the generated virtual entity is the same as the size and shape of the target surface. The thickness of the virtual entity is not specifically limited in this embodiment, and may be set by using a threshold for determining the adjacent relationship. For example, if the two solid models are determined to be two non-adjacent solid models if X centimeters is exceeded, and the two solid models are determined to be two adjacent solid models if X centimeters is less, the thickness of the virtual entity may be set to X centimeters. In this embodiment, the computer device generates, according to the target surface information, a virtual entity in a normal direction perpendicular to the target surface along the normal direction of the target surface, where a surface size of the virtual entity is the same as that of the target surface, and a thickness of the virtual entity is a thickness of a determination threshold capable of characterizing an adjacent relationship, so that the adjacent relationship between the target model and the comparison model can be further obtained through a result of intersection determination between the virtual entity and the other comparison model.

Alternatively, before the step S13, as shown in fig. 15, the method may further include:

s131, obtaining a common outline of the virtual entity and the target model.

Specifically, the processor obtains a common contour of the virtual entity and the target model in the three-dimensional space, and since the virtual entity and the target model are both in a three-dimensional structure and the virtual entity is attached to the target surface of the target model, it can be seen that the common contour is an integral contour and is also a three-dimensional structure in the three-dimensional space, and the interior of the common contour is filled with the target model and the virtual entity.

S132, projecting the public contour and the contour of the comparison model to three directions in a three-dimensional space where the target model is located, and judging whether the projections of the public contour and the contour of the comparison model in the three directions are overlapped to obtain a projection result.

Specifically, the three-dimensional space in which the target model is located includes three directions, the computer device projects the common contour and the contour of the comparison model in the three directions respectively, and then judges whether the projections of the common contour and the contour of the comparison model in each direction intersect with each other, so as to obtain a projection result. Alternatively, the projection result may include the intersection of the projections in the three directions, and may also include the intersection of the projections in only one direction and the intersection of the projections in two directions.

And S133, determining the intersection state according to the projection result.

Specifically, the processor may determine the intersection state of the target model and the comparison model according to the projection result. Optionally, the step may comprise: if the projection results are that the projections in the three directions are all overlapped, determining that the intersection state of the target model and the comparison model is intersection; and if the projection result shows that the projections in any one direction in the three directions are not overlapped, determining that the intersection states of the target model and the comparison model are not intersected.

In this embodiment, the computer device obtains the common contour of the virtual entity and the target model, projects the common contour and the contour of the comparison model in three directions in a three-dimensional space where the target model is located, then judges whether the projections of the common contour and the contour of the comparison model in the three directions are overlapped to obtain a projection result, and finally determines an intersection state according to the projection result.

Optionally, on the basis of the foregoing embodiments, the step S13 may specifically include: if the intersection state is intersection, determining that the target model and the comparison model are adjacent; and if the intersection state is non-intersection, determining that the target model and the comparison model are not adjacent. In this embodiment, the computer device converts the judgment of the more complex adjacent relationship between the entity models into the judgment of the easily-realized intersecting relationship, so as to realize the automatic judgment of the adjacent relationship based on the computer language.

Fig. 16 is a step of implementing the neighboring algorithm proposed in another embodiment, which specifically includes:

s31, acquiring a first model set; wherein the first set of models includes at least one first model, any of the first models including at least one target surface.

Specifically, the processor obtains the first model set, and may perform screening according to model identifiers of the entity models in all the entity models in the design model, or perform screening according to screening conditions set by a designer, or combine search relationships between the entity models, use the entity model serving as a search reference as a model in the first model set, and use a part of the entity models whose adjacent relationships need to be determined as the first model set. The first model set comprises at least one first model, each first model comprises at least one target surface, and the target surface is any one surface of the first model.

S32, acquiring a second model set; wherein the second model set comprises at least one second model.

Specifically, the processor obtains the second model set, and may perform screening according to model identifiers of the entity models in all the entity models in the design model, or perform screening according to screening conditions set by a designer, or combine a search relationship between the entity models, and use other entity models corresponding to the reference entity model for which an adjacent relationship needs to be determined as models in the second model set, so as to use a part of the entity models for which the adjacent relationship needs to be determined as the first model set. The set of second models includes at least one second model.

Alternatively, the general adjacent relation is determined by searching for another model from one model, for example, searching for a B-type model from a-type model, and then using the a-type model as a model in the first model set and the B-type model as a model in the second model set. In the first model set and the second model set, the entity models which are partially the same exist, but the first model and the second model which are selected in the process of carrying out the adjacent judgment are different entity models. For example, when the adjacent relationship between the wall keel model and the bottom guide beam model is judged, the wall keel model is used as a model in the first model set, and the bottom guide beam model is used as a model in the second model set. Of course, when the adjacent relationship between the wall keel model and other solid models is determined, the strong keel model may also be used as the solid model in the second model set, which is not limited in this embodiment.

S33, generating at least one virtual entity matched with the target surface according to the target surface information of each target surface of each first model; wherein the target surface information is used to characterize the pose of a target surface in a target model, one surface in the virtual entity being matched to the corresponding target surface.

Specifically, the processor may read target surface information of each target surface of each first model, and since the target surface information can characterize the pose of the target surface in the target model, the processor may extend each target surface according to the pose of the target surface, so as to generate at least one virtual entity matching the target surface.

And S34, generating a neighboring state set between entity models in the first model set and the second model set according to the intersection state of each virtual entity and each second model.

Specifically, the processor may respectively determine an intersection state between each virtual entity and each second model, and summarize the intersection states between the plurality of virtual entities and the second models, thereby generating an adjacent state set between the entity models in the first model set and the second model set.

In this embodiment, the processor obtains the first model set and the second model set, and generates at least one virtual entity respectively matched with each target surface of each first model according to the target surface information of the target surface, then generating an adjacent state set between entity models in the first model set and the second model set according to the intersection state of each virtual entity and each second model, automatically obtaining the adjacent state set of the adjacent relation between a plurality of entity models based on the target surface information of the entity models, and the method is further applied to automatic design processes such as automatic generation of connecting nodes or automatic filling of materials, manual operation is greatly reduced, the problems of low efficiency and high possibility of errors caused by manual operation are solved, the design efficiency is greatly improved, and the design accuracy is greatly improved. Meanwhile, the method greatly improves the automation degree in the design process, further reduces the learning cost of designers, and further reduces the design cost.

Optionally, on the basis of the above-described embodiment shown in fig. 16, one possible implementation manner of step S33 may include: generating at least one virtual entity along a normal direction of each target surface according to the target surface information of each target surface of each first model; the size of the surface perpendicular to the normal direction of the corresponding target surface in the virtual entity is respectively the same as that of the corresponding target surface, and the thickness of the virtual entity is used for representing a judgment threshold value of the adjacent relation. Specifically, the processor may stretch or stretch the object surface in a direction normal to the object surface according to the size of the object surface, based on the object surface information, so as to generate the virtual entity. Based on this, the size of the cross section of the generated virtual entity on the target surface perpendicular to the normal direction is the same as the size and shape of the target surface. The thickness of the virtual entity is not specifically limited in this embodiment, and may be set by using a threshold for determining the adjacent relationship. For example, if the two solid models are determined to be two non-adjacent solid models if X centimeters is exceeded, and the two solid models are determined to be two adjacent solid models if X centimeters is less, the thickness of the virtual entity may be set to X centimeters. In this embodiment, the computer device generates, according to the target surface information of each target surface in each first model, virtual entities having a cross section perpendicular to the normal direction of the target surface and the same size as the target surface along the normal direction of the target surface, where each virtual entity corresponds to one target surface, and the thickness of each virtual entity is a thickness of a determination threshold capable of representing an adjacent relationship, so that an adjacent state set between the first model set and the second model set can be obtained through a result of intersection determination between the virtual entity and the second model. In this embodiment, the computer device converts the judgment of the more complex adjacent relationship between the entity models into the judgment of the easily-realized intersecting relationship, so as to realize the automatic judgment of the adjacent relationship based on the computer language.

Optionally, as shown in fig. 17, the step S34 may further include:

and S341, respectively acquiring the intersection state of each virtual entity and each second model, and generating an intersection state set.

S342, obtaining the adjacent state set according to the intersecting state set; the adjacent state set comprises a plurality of adjacent value pairs, and each adjacent value pair is used for representing whether a first model and a second model are adjacent or not.

Specifically, the processor obtains and counts the intersection state of each virtual entity and each second model, so as to generate an intersection state set between at least one virtual entity and at least one second model. And then the computer equipment generates an adjacent state set between the first model and the second model to which the target surface corresponding to the virtual entity belongs according to the intersection state set between the virtual entity and the second model. It should be noted that the neighboring state set includes a plurality of neighboring value pairs, and each neighboring value pair can represent whether a first model and a second model are neighboring. The first model label and the second model label correspond to a first model and a second model, respectively, and the first model label and the second model label may be a name, an ID, a number, or the like. For example: if one adjacent value pair comprises a first model A, a second model B and an adjacent value 1, representing that the entity models A and B are adjacent; if a neighboring value pair includes a first model a and a second model B, and the neighboring value is 0, it can be characterized that the entity models a and B are not adjacent. And adopting the first model label, the second model label and the adjacent value to form an adjacent value pair, and forming the adjacent state set by a plurality of adjacent value pairs.

Optionally, the neighboring value pair includes a first model label, a second model label and a neighboring value, and the neighboring value is used to characterize whether the first model represented by the first model label and the second model represented by the second model label are neighboring. By adopting the plurality of adjacent value pairs consisting of the first model label, the second model label and the adjacent values of the first model label and the second model label, and representing the adjacent relation among the entity models by the adjacent relation set consisting of the plurality of adjacent value pairs, the expression can be more clearly realized, the subsequent operation of automatic design such as automatic node placement, automatic filling and the like based on the adjacent relation set is facilitated, and the design efficiency and the accuracy of the model are further improved.

In this embodiment, the computer device converts the judgment of the more complex adjacent relationship between the entity models into the judgment of the easily-realized intersecting relationship, so as to realize the automatic judgment of the adjacent relationship based on the computer language.

The process of acquiring the above-mentioned neighborhood information will be described below by taking a column in a lightweight steel structure as an example. The method comprises the following steps: obtaining target surface information for the pillars; the target surface information is used to characterize a pose of a target surface of the post; the target surface is an upper and/or lower surface of the post; generating a virtual column according to the target surface information; wherein one surface of the virtual cylinder matches the target surface; and acquiring the adjacent information of the column according to the intersection state of the virtual column and the comparison column. The neighborhood information describes a neighborhood relationship between a bin containing the target surface and the alignment bin.

It should be understood that although the various steps in the flowcharts of fig. 2, 4-10, 14-17 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2, 4-10, 14-17 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performing the sub-steps or stages is not necessarily sequential, but may be alternated or performed with other steps or at least some of the sub-steps or stages of other steps.

In one embodiment, as shown in fig. 18, there is provided an apparatus for generating a factory variable cross-section splicing node of a light steel structural column, including:

the obtaining module 310 is configured to identify a column in the design interface according to the type of an element in the design interface, the generation position of the element, and the attribute information of the element;

the screening module 320 is configured to screen the columns according to the adjacent information of the columns to obtain a column combination, where the column combination at least includes two columns meeting a preset relative position relationship;

and the splicing module 330 is configured to generate a column factory variable cross-section splicing node according to the cross-sectional size of the column in the column combination if the orientation information and the cross-sectional size of each column in the column combination and the relative position of the central point or the flange direction of each column in the column combination meet preset conditions.

In one embodiment, the screening module 320 is specifically configured to combine a column and an adjacent column of the column if the adjacent column exists above and/or below the column.

In one embodiment, the splicing module 330 is specifically configured to determine that a column in the column assembly meets a preset condition if a center point connecting line of adjacent columns in the column assembly meets a preset condition of a center point, or flanges of adjacent columns in the column assembly are aligned.

In one embodiment, the connection of the column factory variable cross-section splicing node comprises a connecting middle column, and the splicing module 330 is specifically configured to obtain the maximum web width of the intersecting beam based on a lower column in the column combination, wherein the lower column is a column below the lower column in the column combination; determining the placement position of a connecting center column according to the maximum web width and the center point or flange of the column needing to be subjected to shearing operation in the column combination; and generating the column factory variable cross-section splicing node according to the placement position of the connecting central columns and the cross-sectional sizes of adjacent cross sections, wherein the adjacent cross sections are adjacent cross sections of adjacent columns in the column combination.

In one embodiment, if the column type of the middle column in the column assembly is an H-shaped column and the central point connecting line of the middle column in the column assembly meets a preset condition, the splicing module 330 is specifically configured to calculate the shearing length of the upper column and the lower column in the column assembly according to the maximum web width; subjecting the upper and lower columns to a shearing operation in accordance with the shearing length such that a top center point of the lower column is moved downward by the shearing length distance and a bottom center point of the upper column is moved upward by the shearing length distance; and determining the placement position of the connecting middle column according to the moved top center point of the lower column and the moved bottom center point of the upper column.

In one embodiment, the connecting member of the column factory variable cross-section splicing node further includes a backing plate, and the splicing module 330 is further configured to determine a placement position of the lower column backing plate according to the moved top center point of the lower column; and determining the placement position of the upper column base plate according to the moved bottom center point of the upper column.

In one embodiment, if the column shape of the center column of the column assembly is an H-shaped column and the flanges of the center column of the column assembly are aligned, the splicing module 330 is specifically configured to calculate the shear length of the upper and lower columns of the column assembly according to the maximum web width; determining aligned flanges of the upper column and the lower column; subjecting the upper and lower columns to a shearing operation in accordance with the shearing length such that the top flange section of the lower column is moved downwardly by the shearing length distance and the bottom flange section of the upper column is moved upwardly by the shearing length distance; and determining the placing position of the connecting middle column according to the aligned positions of the top flange section of the moved lower column and the bottom flange section of the upper column.

In one embodiment, the connecting member of the column factory variable cross-section splicing node further includes a backing plate, and the splicing module 330 is further configured to determine a placement position of the lower column backing plate according to the moved top flange section of the lower column; and determining the placement position of the upper column base plate according to the moved top flange section of the upper column.

In one embodiment, if the column type of the column assembly middle column is a box column or a round column, the splicing module 330 is specifically configured to determine the shearing distance of the lower column in the column assembly according to the maximum web width; performing a shearing operation on the lower column according to the shearing length so that the top center point of the lower column moves downwards by the distance of the shearing length; and determining the placement position of the connecting middle column according to the moved top center point of the lower column.

In one embodiment, the splicing module 330 is specifically configured to determine parameters of upper and lower cross sections of the connecting pillars according to the cross-sectional dimensions of the adjacent cross sections; and generating the column factory variable cross-section splicing node according to the parameters of the upper and lower cross sections of the connecting central columns and the placing positions of the connecting central columns.

In one embodiment, the above apparatus for generating a factory variable cross-section splicing node of a light steel structural column may further include: the adjacent judgment module is used for acquiring the target surface information of the column; the target surface information is used to characterize a pose of a target surface of the post; the target surface is an upper and/or lower surface of the post; generating a virtual column according to the target surface information; wherein one surface of the virtual cylinder matches the target surface; and acquiring the adjacent information of the column according to the intersection state of the virtual column and the comparison column.

For specific limitations of the device for generating the column factory variable cross-section splicing node of the light steel structure, reference may be made to the above limitations on the method for generating the column factory variable cross-section splicing node of the light steel structure, and details are not repeated here. All modules in the device for generating the variable cross-section splicing node of the column factory with the light steel structure can be completely or partially realized through software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 19. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to realize a method for generating column factory variable cross-section splicing nodes of the light steel structure. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.

Those skilled in the art will appreciate that the architecture shown in fig. 19 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps described in the implementation when executing the computer program.

In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above-mentioned embodiments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method for generating a factory variable cross-section splicing node of a light steel structural column comprises the following steps:

2. The method of claim 1, wherein screening the column based on the column neighborhood information to obtain a column combination comprises:

and if adjacent columns exist above and/or below a certain column, taking the certain column and the adjacent column of the certain column as a column combination.

3. The method according to claim 1, wherein if the orientation information, the sectional dimension, and the relative position of the central point or the flange of each column in the column combination meet preset conditions, generating a column factory variable section splicing node according to the sectional dimension of the column in the column combination comprises:

if the connecting line of the central points of the adjacent columns in the column combination meets the central point preset condition, or the flange directions of the adjacent columns in the column combination are aligned, the columns in the column combination meet the preset condition.

4. The method according to any one of claims 1-3, wherein the connection of the column factory variable cross-section spliced node comprises connecting central columns, the column factory variable cross-section spliced node being created according to the cross-sectional dimensions of the columns in the column assembly, comprising:

acquiring the maximum web width of the intersecting beam based on a lower column in the column combination, wherein the lower column is a column below the relative position in the column combination;

determining the placement position of a connecting center column according to the maximum web width and the center point or flange of the column needing to be subjected to shearing operation in the column combination;

and generating the column factory variable cross-section splicing node according to the placement position of the connecting central columns and the cross-sectional sizes of adjacent cross sections, wherein the adjacent cross sections are adjacent cross sections of adjacent columns in the column combination.

5. The method according to claim 4, wherein if the pillar type of the pillar in the pillar assembly is an H-shaped pillar and the center point connecting line of the pillar in the pillar assembly meets a predetermined condition,

determining the placement position of the connecting center post according to the maximum web width and the center point or flange of the post needing to be cut in the post combination, comprising:

calculating the shearing length of an upper column and a lower column in the column combination according to the maximum web width;

subjecting the upper and lower columns to a shearing operation in accordance with the shearing length such that a top center point of the lower column is moved downward by the shearing length distance and a bottom center point of the upper column is moved upward by the shearing length distance;

and determining the placement position of the connecting middle column according to the moved top center point of the lower column and the moved bottom center point of the upper column.

6. The method of claim 5, wherein the connector of the column factory variable cross section splice node further comprises a shim plate, the method further comprising:

determining the placement position of the lower column base plate according to the moved top center point of the lower column;

and determining the placement position of the upper column base plate according to the moved bottom center point of the upper column.

7. The method according to claim 4, wherein if the column shape of the column assembly center column is an H-shaped column and the flanges of the column assembly center column are aligned,

determining aligned flanges of the upper column and the lower column;

subjecting the upper and lower columns to a shearing operation in accordance with the shearing length such that the top flange section of the lower column is moved downwardly by the shearing length distance and the bottom flange section of the upper column is moved upwardly by the shearing length distance;

and determining the placing position of the connecting middle column according to the aligned positions of the top flange section of the moved lower column and the bottom flange section of the upper column.

8. The method of claim 7, wherein the connector of the column factory variable cross section splice node further comprises a shim plate, the method further comprising:

determining the placement position of the lower column base plate according to the moved top flange section of the lower column;

and determining the placement position of the upper column base plate according to the moved top flange section of the upper column.

9. The method according to claim 4, wherein if the column type of the column assembly center column is a box-type column or a circular column,

determining the shearing distance of a lower column in the column combination according to the maximum web width;

performing a shearing operation on the lower column according to the shearing length so that the top center point of the lower column moves downwards by the distance of the shearing length;

and determining the placement position of the connecting middle column according to the moved top center point of the lower column.

10. The method according to any one of claims 4 to 9, wherein the creating of the column factory variable cross-section spliced node according to the placement position of the connecting columns and the cross-sectional size of the adjacent cross-sections comprises:

determining parameters of upper and lower sections of the connecting center pillar according to the section sizes of the adjacent sections;

and generating the column factory variable cross-section splicing node according to the parameters of the upper and lower cross sections of the connecting central columns and the placing positions of the connecting central columns.

11. A method for generating column factory variable cross-section splicing nodes of a light steel structure comprises the following steps:

12. The utility model provides a generation device of variable cross section concatenation node of post mill of light gauge steel structure which characterized in that, the device includes:

13. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 11 are implemented by the processor when executing the computer program.

14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 11.