CN115659453B - Working method for generating multi-layer point type residence based on building information matrix table - Google Patents
Working method for generating multi-layer point type residence based on building information matrix table Download PDFInfo
- Publication number
- CN115659453B CN115659453B CN202211208724.6A CN202211208724A CN115659453B CN 115659453 B CN115659453 B CN 115659453B CN 202211208724 A CN202211208724 A CN 202211208724A CN 115659453 B CN115659453 B CN 115659453B
- Authority
- CN
- China
- Prior art keywords
- space
- functional
- building
- functional space
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 239000011159 matrix material Substances 0.000 title claims abstract description 61
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000013461 design Methods 0.000 claims abstract description 68
- 230000006870 function Effects 0.000 claims abstract description 34
- 238000010586 diagram Methods 0.000 claims description 44
- 238000005457 optimization Methods 0.000 claims description 5
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims description 3
- 229910052799 carbon Inorganic materials 0.000 claims description 3
- 238000003169 complementation method Methods 0.000 claims description 3
- 238000009413 insulation Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000009423 ventilation Methods 0.000 claims description 3
- 238000003491 array Methods 0.000 claims description 2
- 150000001768 cations Chemical class 0.000 claims description 2
- 238000005520 cutting process Methods 0.000 claims description 2
- 238000009826 distribution Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 4
- 238000004422 calculation algorithm Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 230000008520 organization Effects 0.000 description 3
- 230000001276 controlling effect Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 230000018109 developmental process Effects 0.000 description 2
- 238000011835 investigation Methods 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 238000003860 storage Methods 0.000 description 2
- 241000238413 Octopus Species 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000012938 design process Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 238000004153 renaturation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Abstract
The invention provides a working method for generating a multi-layer point type house based on a building information matrix table, which comprises the following steps: s1, building a building matrix table S2 based on plane functions and azimuth constraints according to design requirements and design rules, and generating a topology model under the azimuth constraints according to functional layout information parameters in the building matrix table; and S3, generating a floor plan based on a rectangular splicing method according to the plane information parameters in the building matrix table on the basis of the topology model, and generating a three-dimensional model according to the elevation information parameters. The method can quickly, efficiently and automatically generate the solution set of the scheme model according to the design requirement, and has the advantages of reducing the time consumption of manually adjusting the model, reducing the cost, ensuring complete solution set space of the generated model solution set, ensuring accurate preset information of the function space of the generated scheme and the like.
Description
Technical Field
The invention relates to the technical field of buildings, in particular to a working method for generating a multi-layer point type house based on a building information matrix table.
Background
Multi-story point type residential building is used as important place for people living and people attach more and more importance to the level and convenience of living, so that related designs are more and more concerned and attach more importance. However, the multi-layer point type house is designed by manual work, and the problems of low design speed, incapability of controlling the design quality, high later correction cost and the like exist.
Along with the development of the building design industry, in the design process of a multi-layer point type residence proposal, a parameterized model with a large number of renaturation works is often required to be constructed, but the key problems of complicated steps, large calculation amount of a plurality of nodes of the existing topology model, errors of the generation of planar bodies by circular multi-agent bodies and the like still exist.
Therefore, how to provide a reasonable, efficient, accurate and batchable multi-layer point house generation scheme is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
The invention aims at least solving the technical problems in the prior art, and particularly creatively provides a working method for generating a multi-layer point type house based on a building information matrix table.
In order to achieve the above object of the present invention, the present invention provides a working method for generating a multi-story point type house based on a construction information matrix table, comprising the steps of:
s1, building a building matrix table based on plane information and azimuth constraint information according to design requirements and design rules;
s2, generating a floor plan topological relation diagram under azimuth constraint according to the functional layout information parameters in the building matrix table;
and S3, generating a floor plan based on a rectangular splicing method according to the plane information parameters in the building matrix table on the basis of the topology model, and generating a three-dimensional model according to the elevation information parameters.
Further, the step S1 includes the steps of:
s1-1, determining design parameters according to design rules;
s1-2, building a building matrix table according to design parameters and design requirements; the design requirements include a rigidity requirement and an elasticity requirement. The rigidity requirement only needs to consider the requirements which must be met in design, such as the specification mandatory requirements and the like; the elastic requirement is an optional requirement related to the scheme quality, and comprises sunlight, natural lighting, natural ventilation, carbon emission and sound insulation.
Further, the S1-2 comprises: respectively encoding basic information parameters and layout information parameters, and initializing plane information parameters and elevation information parameters to obtain a building information matrix table;
the building information matrix table consists of a plurality of two-dimensional arrays, including an adjacent matrix table and building parameter information.
The adjacency matrix represents the connection relation of the functional space;
the building parameter information includes: basic information parameters, layout information parameters, plane information parameters and elevation information parameters, and the design requirement information of the multi-layer point type residence is described and stored.
Further, the design parameters include: basic information, layout information, plane information and elevation information;
the basic information includes: building locations, total building area, floor number of houses, stairs, number of entrances and exits and number of floors;
the layout information parameters include: the structure of the sleeve, the space function, the space relation and the space orientation;
the space functions comprise a space in the sleeve and a public transportation core, and the space in the sleeve comprises a main function space and a secondary function space;
the main functional space includes: the main lying, secondary lying, guest lying, living room, restaurant, kitchen, toilet and secondary functional space comprises: balcony and bathroom;
the public transportation core includes: hallways, walkways, traffic cores;
the spatial relationship includes; space unconnected, space connected, space communicated and space contained;
the spatial orientation includes: east, west, south, north, middle;
the plane information parameters include: functional space aspect ratio, functional space area, functional space cation area surface area and main guard configuration;
the parameters of the elevation information include: layer height, sill height, window wall area ratio and window position.
Further, the step S2 includes the steps of:
s2-1, a layout information parameter rectangular table in a building information matrix table is called to obtain constraints of space orientations of various sets of functions, so that the solution space of a topological relation diagram is reduced;
s2-2, carrying out one-dimensional grid division in different space orientations according to each set of grids, wherein the number of the grids divided by the one-dimensional grids is the number of functional spaces in the same space orientation;
s2-3, fully arranging the functional space topological points of each set of unit in the corresponding grid;
s2-4, organizing each set of layout information parameters by taking the traffic core as a core, and generating all solutions of the floor plan topological relation diagram.
The method can greatly reduce the solution space range and exclude a solution scheme which is reasonable in mathematics but unreasonable in functional space relative position relationship in actual building design.
Further, the step S3 includes the steps of:
s3-1, generating a functional space shape: generating a functional space shape according to plane information parameters in the building matrix table, and restricting the rationality of the functional space shape by adopting the functional space area and the functional space length-width ratio;
s3-2, splicing functional space shapes: judging whether each functional space is rectangular, and if the functional space is a non-rectangular functional space, unifying the functional space into a rectangular shape through a segmentation method or a complementation method; then splicing according to the shared edges of the functional spaces;
s3-3, generating a three-dimensional model.
Further, the splicing according to the shared edge of each functional space comprises the following steps:
s3-2-1, obtaining connection forms among the functional spaces through the shared edges, wherein the connection forms comprise linear connection, triangular connection, internal connection and annular connection;
s3-2-2, performing main functional space splicing: judging whether an annular connection function space with a unique solution exists or not; if the functional space connected in the annular mode is spliced, firstly splicing the walkway and the hall if the functional space connected in the annular mode exists, otherwise, splicing the walkway and the hall; then splicing adjacent functional spaces step by step in a circulating way according to the space relation;
s3-2-3, after all the functional spaces are spliced, cutting off redundant walkways to obtain a sleeve type plan after one-time splicing;
s3-2-4, performing secondary functional space splicing: after the one-time splicing of the sleeve type plane is completed, splicing the secondary function space to the attached function space according to the sleeve type matrix table, and finally completing the generation of the sleeve type plane diagram.
Further, the step S3-3 comprises the following steps:
s3-3-1, extracting the layer height (H) in the elevation information parameters according to the formulated building information matrix table q ) Giving a building sleeve type plan, and converting the building sleeve type plan into a three-dimensional model;
s3-3-2, determining a reasonable window wall area ratio range of each functional space as a control parameter of window rationality, calculating each window area, and calculating the window width according to each window area and the window height to finish window generation;
s3-3-3, finishing the generation of the vertical face windowing and sleeve type parameterized three-dimensional model according to the position of the window;
s3-3-4, finishing window positioning and facade windowing on the wall surface to be windowed according to the window position coordinates;
s3-3-5, finally generating a parameterized three-dimensional model according to the layer number information in the basic information parameters and the design rule.
In summary, by adopting the technical scheme, the method and the device can quickly, efficiently and automatically generate the solution model solution set according to the design requirement, and have the advantages of reducing the time consumption of manually adjusting the model, reducing the cost, ensuring complete solution set space of the generated model solution set, ensuring accurate function space preset information of the generated scheme and the like.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
fig. 1 is a flow chart of the design of the present invention for generating a multi-story point house based on a building information matrix table.
Fig. 2 is a spatial relationship type of functional space according to the present invention, fig. 2 (a) is a position unconnected, fig. 2 (b) is a position connected (no door), fig. 2 (c) is a spatial communication (door), fig. 2 (d) is an inclusion, fig. 2 (e) is a spatial functional spatial relationship combination schematic, and fig. 2 (f) is a spatial functional spatial relationship combination schematic.
Fig. 3 is a schematic view of the window position coordinate positioning of the present invention.
Fig. 4 is a schematic diagram of the spatial topology within the sleeve of the present invention.
FIG. 5 is a schematic diagram of the topology organization of the traffic core and the jacket of the present invention, FIG. 5 (a) is a two-user one-step, the jacket of two users in FIG. 5 (a) is connected to the traffic core, but the two users are not connected; FIG. 5 (b) is a two-user one-step, and in FIG. 5 (b), the two-user sets are each connected to the traffic core, and the two users are also connected; fig. 5 (c) is a three-user one-step, and fig. 5 (d) is a four-user one-step.
Fig. 6 is a schematic diagram of computer storage diagram rules and topology according to the present invention, fig. 6 (a) is an adjacency matrix, and fig. 6 (b) is a schematic diagram of topology.
Fig. 7 is a comparative schematic diagram of a conventional and improved topology graph generation algorithm and a point distribution model according to the present invention, fig. 7 (a) is a general point distribution model, and fig. 7 (b) is a point distribution model embodying orientation.
Fig. 8 is a schematic diagram of generating a floor plan topology point according to the present invention, fig. 8 (a) is a method of representing a spatial position of a functional space, and fig. 8 (b) is a method of representing a spatial position of an i-th set.
FIG. 9 is a schematic diagram of a functional spatial topological point combination of the spatial orientation constraint of the present invention.
Fig. 10 is a schematic diagram of the generation of a floor plan topology map of the present invention.
Fig. 11 is a schematic diagram of the functional space shape generation of the present invention, fig. 11 (a) is a schematic diagram of the functional space shape generation, and fig. 11 (b) is a schematic diagram corresponding to the functional space shape and the topological relation diagram.
FIG. 12 is a schematic diagram of a basic rectangular stitching relationship of the present invention.
Fig. 13 is a schematic process diagram of the floor plan generating module of the present invention, fig. 13 (a) is a schematic functional space connection form judgment diagram, fig. 13 (b) is a schematic ring connection diagram, fig. 13 (c) is a schematic sequential connection diagram, fig. 13 (d) is a schematic primary splicing diagram, and fig. 13 (e) is a schematic secondary splicing diagram.
Fig. 14 is a schematic view of three-dimensional model generation of a multi-layer point-type house according to the present invention, fig. 14 (a) is a schematic view of floor plan generation, and fig. 14 (b) is a schematic view of three-dimensional model generation.
Fig. 15 is a schematic diagram of a multi-level point house initialization three-dimensional model generation in accordance with an embodiment of the present invention.
FIG. 16 is a plan layout and three-dimensional model of solution sets in accordance with an embodiment of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
The specific working method of the invention is shown in figure 1, and comprises the following steps:
s1, building a building matrix table based on plane functions and azimuth constraint according to design requirements and rules;
s1-1, according to specifications, typical residential plane investigation and related literature data, design parameters of design elements are generalized and carded into: basic information, layout information, plane information, elevation information and other parameters.
The generation of the building scheme is controlled through the parameters, the design requirement of the residential scheme is divided into a rigidity requirement and an elasticity requirement, the rigidity requirement is used as a constraint condition, and the elasticity requirement is used as an optimization target. Rigidity requirements are requirements that must be met at the time of design, such as regulatory mandates, etc.; the elastic requirement is not mandatory but is also closely related to the scheme quality, such as sunlight, natural lighting, natural ventilation, carbon emission, sound insulation and the like.
The value range of each typical design parameter is obtained by combining the element selection principle, as shown in table 2, and is used for constructing a design rule parameter library, and related parameters can be selected by reference or can be determined by self according to requirements. The element selection principle is determined by specifying the design elements and organization modes of the multi-layer point type house according to the related specifications.
1. Basic information parameters
The basic information parameters are quantitative parameterized expression of the early basic information and design requirements of the scheme, and the basic information parameters comprise: building locations, total building area, floor number of houses, number of stairs, number of entrances and exits, and number of floors.
According to the building location, the geographical location information of the building scheme is defined to judge the geographical location of the scheme project, and the identification information is provided for scheme generation by calling a corresponding parameter information base in combination with weather characteristics and selection of parameters such as weather. Parameters such as total building area, floor number of houses, stair entrance and exit positions/number of floors and the like are selected and set according to actual requirements.
2. Layout information parameters
The basic description of the layout information of each functional space forming the floor plan is carried out through the layout information parameters, and the layout information parameters consist of four parts of a sleeve structure, spatial functions, spatial relations and spatial orientations.
2.1 cover type structure
The sleeve type structure is a common multi-layer point type house sleeve type space structure, and the following 6 space structure forms can be selected according to requirements: 1 room 1 kitchen 1 defend, 2 room 1 kitchen 1 defend, 3 room 2 room 1 kitchen 2 defend, 4 room 2 room 1 kitchen 2 defend.
2.2 spatial Functions
The space functions are functions of each space of the design elements of the multi-layer point type residence, and comprise each function of the space in the sleeve and a public transportation core, and the specific composition can be selected according to the requirement. The method is characterized in that functions are assigned to each space according to design requirements, other parameter information corresponding to each functional space is matched according to the space functions, and the method is further used for generating a parameterized model of the multi-layer point type residence, and the balcony and the main guard are auxiliary secondary spaces of other functional spaces and are not independently considered as functional spaces.
2.3 spatial relationship
The spatial connection relation (spatial relation) of each functional space of the multi-layer point type residential building can be divided into four basic types: unconnected, spatially connected, inclusive, as in fig. 2 (a) - (d), and other various types of spatial relationships are variations of the underlying spatial relationship type, such as in fig. 2 (e) - (f). The interrelationship of the functional spaces is described herein by way of the four basic spatial relationships described above to define the relative relationship of the functional spaces.
2.4 spatial orientation
The functional space orientation represents the orientation of each functional space, and is divided into: east, west, south, north, middle. And determining the space orientation of the functional space according to the design requirement, and summarizing the general rule of the space orientation of each functional space according to the design specification and related design experience to obtain the suggested orientation of each functional space, and reducing the solution scheme with unreasonable orientation through the constraint of the space orientation to reduce the solution space range.
3. Plane information parameters
The plane information parameters mainly include the functional space aspect ratio (K ck ) Area of functional space (A d ) Functional space balcony area (A) yt ) Master-guard configuration (ZW) yn ). According to the design specification and practical investigation of the residential building, the range of the face width and depth of the residential building can be obtained as shown in table 3, and the range is used as constraint conditions for generating the following functional spaces so as to ensure the rationality of the body of the residential building; and the value range of each functional space body can be calculated, and can be used as a design optimization parameter and can be used as a design reference. The calculation method of each plane information parameter is as shown in formulas (3-1) to (3-4):
K ck ＝L q /W q (3-1)
A d ＝L q ·W q (3-2)
K ckmax ＝D qmax 2 /A d (3-3)
K ckmin ＝D qmin 2 /A d (3-4)
wherein: k (K) ck And A d Functional space aspect ratio and functional space area square meter, respectively; l (L) q 、W q Is the functional space length (m); k (K) ckmax 、K ckmin Representing the maximum and minimum values of the aspect ratio of the functional space, and K ckmax Not more than 2.00, K ckmin Not less than 0.50; l (L) qmax 、L qmin Maximum and minimum values (m) representing the surface width and depth of the functional space, respectively, where D qmin ＜W q ＜D qmax 、D qmin ＜L q ＜D qmax 。
4. Parameters of elevation information
The facade information parameter mainly controls the rationality of the facade of each function space of the multi-layer point type residence, and mainly comprises the following components: layer height (H) q ) Sill height (H) ct ) Window height (H) c ) Area ratio of window wall (K) cq ) Window position (C) wz )。
The layer height, the windowsill height and the window height are selected and set according to requirements and related specifications; the window wall area ratio is determined according to the building lighting design standard and the related thermal engineering specification, and the value range is determined through the minimum window floor area ratio K cdmin The minimum window area A required to be met by the functional space is calculated cmin Further, the minimum window wall area ratio K of the functional space is obtained cqmin Determining the maximum window wall area ratio K of the functional space when the thermal performance requirement is met according to the related specification cqmax Finally, the window wall area ratio range K of each functional space is determined cqmin ～K cqmax As a control parameter for window size; the window position is described by adopting a coordinate positioning method, a plane rectangular coordinate system is established by taking the lower left corner point of each functional space wall surface as a coordinate origin, and meanwhile, the absolute position (C) of the window is described by taking the central point of the bottom edge of the window as a coordinate point wzjd ) As shown in FIG. 3, the relative position of the wall surface is mapped to a range of (0-1 ) to represent the relative position (C wzxd ) The method comprises the steps of carrying out a first treatment on the surface of the Window width W c Then by window area A c Height H c The relevant parameters are determined by formulas (3-5) to (3-8) and table 4:
K cq ＝A c /A q (3-5)
A cmin ＝A d ·K cdmin (3-6)
A q ＝W q ·H q (3-7)
W c ＝A c /H c (3-8)
wherein: k (K) cq 、A cmin 、A q 、W c The window wall area ratio, the minimum window opening area meeting the specification, the window wall area and the width of the functional space window are respectively. A is that c 、A d Is respectively the window opening of the functional space and the ground area (m) 2 )；W q 、H q Respectively representing the surface width and the layer height (m) of the wall surface of the functional space window; h c Window height (m) for functional space; k (K) cdmin 、K cqmax The minimum window area ratio and the maximum window wall ratio are respectively required by functional space lighting standards, wherein K is as follows cqmin ＜K cq ＜K cqmax 。
S1-2, building a building matrix table:
the building information matrix table is a storage matrix for representing design requirements by using a two-dimensional array, and is an extension of the traditional adjacent matrix table. Building parameter information is added on the basis of the functional space connection relationship so as to describe and store design requirement information of the multi-layer point type residence, including but not limited to the following parameters: parameters such as functional layout information, plane scale information, elevation scale information and the like. The initial building information matrix table is created according to the required sleeve type combination and structure of the design, and comprises basic information parameters, layout information parameters, plane information parameters and elevation information parameters, as shown in table 5. Building a three-dimensional model of the building information matrix table, a topological relation diagram, a functional space shape, a floor plan diagram and a multi-layer point type residence through related parameters in sequence.
S1-2-1, basic information parameter coding
The basic information parameters are determined by determining the information of building locations, total building areas, floor numbers, stairs, number of entrances and exits and the number of layers, and the information of the building related parameters is determined to provide basic constraint data for building generation, and the related data can refer to table 2.
S1-2-2, layout information parameter coding
The layout information parameter coding is used for coding the sleeve type structure, the space function, the space relation, the space orientation and the like of the functional space and is used for controlling the structure type of the sleeve type, the function, the connection relation and the orientation of each functional space.
1. Sleeve type structure
The housing type structure is expressed by h room i hall j kitchen k guard, a matrix table corresponding to each housing type is created according to the housing type structure, and the housing type structure comprises: 1 room 1 kitchen 1 defend, 2 room 1 kitchen 1 defend, 3 room 2 room 1 kitchen 2 defend, 4 room 2 room 1 kitchen 2 defend.
2. Spatial function coding
After the sleeve type structure is determined, each sleeve type building plane is assumed to be W= { a 0 ，a 1 ，a 2 ，…a n The set of } is subjected to set-type plane coding to a n Simplifying and representing each functional space, firstly determining a certain room position a in the coding process 0 Then according to a 0 Determining a 1 After that, the encoding of each functional space is completed in turn.
3. Spatial relationship coding
The space relation of each functional space of the building is represented by an adjacent matrix, and when the layout information parameters of each functional space are extracted, four space relations are obtained: unconnected, position-connected, spatially-connected, inclusive, are given corresponding index numbers 0, 1, 2, 3, respectively.
4. Spatial orientation coding
Five spatial orientations of each functional space are: the east, west, south, north and middle are respectively indicated by index numbers E, W, S, N, M, and the space orientation of each functional space is encoded according to the standard requirements and design experience.
S1-2-3, initialization of plane information parameters
Matching functional space aspect ratio (K) in a set according to design requirements and experience ck ) Area of functional space (A d ) Functional space balcony area (A) yt ) Master-guard configuration (ZW) yn ) Proceeding withThe initial parameters can be set by referring to tables 2 and 3.
S1-2-4, initializing facade information parameters
The layer height of the functional space (H q ) Sill height (H) ct ) Window height (H) c ) Area ratio of window wall (K) cq ) Window position (C) wz ) Setting is carried out to finish giving the elevation information of the multi-layer point type residential building so as to control the rationality and effect of elevation generation.
The initial parameter information base of the multi-layer point type residence is constructed by presetting the floor number of the multi-layer point type residence and basic information of the sleeve structure, and the basic table is generated by calling the database through a program, so that the workload of manually establishing the building matrix table can be reduced.
S2, generating a topology model under azimuth constraint according to the functional layout information parameters in the building matrix table; converting the topological relation diagram into a topological relation diagram according to design requirements;
the generation of the floor plan is performed starting from the planar topological relation as shown in fig. 4. The organization of multi-layer point residential floor planes is divided into: one-step two-step three-step one-step four-step. With the traffic core as the core, a nested topology is made around the traffic core as shown in fig. 5. When the floor plan design of the residence proposal is carried out, the floor number is determined, the design is carried out by selecting a proper sleeve structure according to the requirement, then the floor plan design is carried out, and the three-dimensional meta-model of the building is constructed.
The connection relation of the functional space is represented by the adjacency matrix, the functional space is represented by the plane vertexes of the topological relation diagram, and the connection lines between the vertexes represent the functional space relation. As shown in fig. 6 (a) and fig. 6 (b) are mutually convertible adjacency matrix and topology, and 0 and 1 in fig. 6 (a) respectively represent that two objects in fig. 6 (b) are not connected and are connected.
The adjacent matrix is used as a conversion carrier, and a topology generation method of a space relation-function layout information parameter (adjacent matrix) -topology relation diagram (undirected diagram) is established. Each set of patterns has own layout information parameters to control the relation of the functional spaces in each set. By adopting the nested matrix table, the solution space of the topological relation diagram can be obviously reduced through the constraint on the functional space orientation.
If the number of shared functional spaces of a certain set is Q, wherein the number of spatial orientations of east (E), west (W), south (S), north (N) and middle (M) is E, W, S, N, M, the functional spatial position distribution model (distribution model) is A=Q-! Seed; defining a topology point generation region of a functional space according to a spatial orientation, the kind of the point distribution model can be reduced to a=e-! W-! S! N! M! . As a general layout model, FIG. 7 (a), its arrangement type is 12-! = 479001600; point model for embodying orientation fig. 7 (b), its arrangement type is 3-! 2! 3! 3! 1! =432.
And the floor plan organizes various sets by taking the traffic core as a core, and the generation of the floor plan topological relation diagram is completed according to the layout information parameters. The relative spatial position of the corresponding topological points of each functional space of the building can be represented by a spatial coordinate system through grid division of the space, namely, each functional room is abstracted into topological points, and the relative spatial position of each functional space is represented by the relative position relation of the topological points. And the topological point position generation area is limited by azimuth constraint, so that the solution space range can be obviously reduced. As shown in fig. 8, each functional space is abstracted into a topological point, the relative spatial position of each functional space is represented by the relative positional relationship of the topological point, and the topological point representing each functional space is inserted into the center where a spatial grid can be generated.
In FIG. 8 (a), the floor plan has a total of i users, the number of i-th user-set-type shared functional spaces is Q i The number of functional spaces in each space direction corresponding to east (E), west (W), south (S), north (N) and middle (M) is E i 、W i 、S i 、N i 、M i . The arrangement and combination of the multi-layer point type residential floor plane functional space can be carried out by the following method: (1) Dividing the relative spatial orientation of the space orientation coding information by taking each set of the space orientation coding information as a unitThe method comprises the steps of east (N), west (W), south (S), north (N) and middle (M); (2) And one-dimensional grid division is carried out according to the number of functional spaces of each set of patterns in different space orientations as shown in fig. 8 (b); (3) Then, the functional space topological points of each set of unit are fully arranged in the corresponding grid; (4) And then, combining the sleeve type combination mode proposed by the S1-2 to obtain all combination possibilities of the floor plan function space under the condition of setting the layout information parameters. The method limits the space orientation to be arranged and combined, and the combination type of the i sets of functional spaces is A i ＝E i ！·W i ！·S i ！·N i ！·M i The following is carried out All combined types of the functional spaces of each set of floor plane are A=pi A i . Obviously, the method can greatly reduce the solution space range, and exclude some solution schemes which are reasonable in mathematics but unreasonable in functional space relative position relationship in actual building design.
The space orientation of each set of functional space of the floor plan is restrained through design requirements, specifications and design experience, and compared with the situation that all functional spaces of the floor plan are fully arranged, the solution scheme with unreasonable space orientation can be avoided, and the solution space is obviously reduced. Assuming that the floor plan of a two-user combination of one ladder has 19 functional spaces in total, in the case of space orientation constraint, there are (1 | 3 | 1 |) and (1 | 3 | 1| 1296 combinations, as shown in fig. 9, each space topology point in the figure can represent an arbitrary functional space of the space orientation, and only one of the combination solutions is shown in the figure. Obviously, the method is used for generating the arrangement of the functional space topological points on the premise of carrying out space orientation constraint on the functional space, so that the judgment process can be greatly simplified, the calculation time of a solution scheme is shortened, and the requirement on hardware configuration is reduced.
Generating topological points of each functional space on the basis of space constraint; then defining the relative relation of each functional space through the space relation; comparing the top number of the topological relation graph with the intersection number of the topological connecting lines according to the requirement that the space streamline is not intersected, if the top number of the topological relation graph is not equal, eliminating the solution for the streamline intersection, and if the top number of the topological relation graph is equal, the streamline is not intersected; finally, a solution set of topological relation schemes meeting the azimuth constraint, the spatial relation and the non-crossing topological streamline is generated, as shown in fig. 10.
And S3, generating a floor plan based on a rectangular splicing method according to the plane information parameters in the building matrix table on the basis of the topology model, and generating a three-dimensional model according to the elevation information parameters.
S3-1, functional space shape generation
The generation of the multi-layer point type residential floor plan topological relation diagram is completed in the above step S2, and the generation of each functional space shape is completed in this section, and the functional space is considered as a rectangle, as shown in fig. 11 (a); on the basis of the generation of the topological relation diagram and the functional space body, the functional space body and the topological space point positions are correspondingly generated as shown in fig. 11 (b) so as to generate the floor plane splicing of S3-2.
The method for generating the functional space body is described in detail in the above 3. The plane information parameters, the generation of the functional space body is performed according to the plane information parameters in the building matrix table, and the functional space area (a d ) Aspect ratio of functional space (K) ck ) The rationality of the functional space shapes is constrained as shown in fig. 11 (a).
S3-2, functional space shape splicing
The generation of the functional space in the multi-layer point type residential building model takes a regular rectangle as a main study object, and takes the layout of the regular rectangle as a rectangular layout problem into consideration, so that a design scheme solution which is optimal can be obtained through algorithm evolution. In the process of floor surface splicing generation, the non-rectangular functional space is unified into a rectangular shape through a segmentation method or a complementation method.
Rectangular units are spliced by generating common edges, and can be summarized as follows: the four basic forms of linear connection, triangle connection, internal connection and annular connection are overlapped, as shown in fig. 12, and other node relations and connection forms are formed by overlapping the four basic connection forms.
Based on the rectangular splicing method, judging the functional space connection form of the topological relation diagram generated under the set space relation; and then the functional space shapes are sequentially connected through a rectangular splicing rule, a multi-layer point type residential floor plan is generated by combination, a secondary space balcony and a main guard are connected to the attached functional space according to set requirements, and finally the multi-layer point type residential floor plan is formed, as shown in fig. 14 (a).
As can be seen from fig. 12, the main functional spaces are connected by the shared edge, and the specific method thereof is discussed in detail above, and the connection relationship between the nodes of each functional space is determined by the program in this section, as shown in fig. 13 (a), and the connection relationship between the functional spaces is divided into annular connection (four-point connection), triangular connection (three-point connection), and the like, such as annular connection of halls, kitchens, restaurants and walkways in the case a.
In the multi-layer point type residence floor plane, each entrance hall is connected with a traffic core, the walkways are connected with the entrance hall and are long-strip-shaped, and other functional spaces in the sleeves are organized around the walkways, so that the connection of each entrance hall with the traffic core takes the walkways as cores, each entrance walkway is abstracted into rays connected with the entrance hall, and the other functional spaces in the sleeves gradually shrink around the walkways to finish the splicing of the floor plane. The floor surface splicing items are divided into two parts of main functional space and secondary functional space (balcony and bathroom).
The main function space is spliced, and whether an annular connection function space with a unique solution exists or not is judged first: if there is a functional space with annular connection, firstly splicing the functional space as shown in fig. 13 (b), otherwise, firstly splicing the walkway and the hall as shown in fig. 13 (c); and then splicing adjacent functional spaces step by step in a circulating way according to the spatial relationship. After all the functional spaces are spliced, redundant walkways are cut off to obtain a once spliced sleeve-type plan view, as shown in fig. 13 (d).
And (3) splicing the secondary functional space, after the primary splicing of the sleeve type plane is completed, generating the balcony, the main guard and other shapes according to the configuration requirements of the balcony and the toilet in the sleeve type matrix table, and secondarily splicing the balcony and the main guard and other shapes into the attached functional space, thereby finally completing the generation of the sleeve type plane diagram, as shown in fig. 13 (e).
S3-3, three-dimensional model generation
After the pre-step of generating the floor plan of the multi-layer point type residence is completed, the floor plan needs to be converted into a three-dimensional building model, and the generation of building elevation mainly relates to.
When building the building elevation, the control of the elevation windowing is mainly used, and the rationality of the elevation windowing is controlled by the elevation information parameters in the sleeve type matrix table, and the method mainly comprises the following steps: window height (H) c ) Area ratio of window wall (K) cq ) Window position (C) wz ) High (H) q )。
(1) Firstly, extracting the layer height (H) in the elevation information parameters according to the formulated building information matrix table q ) And giving a building sleeve-type plan, converting the building sleeve-type plan into a three-dimensional model, and selecting and setting parameter values according to requirements and related specifications. (2) Second, a reasonable window wall area ratio (K) of each functional space is determined cq ) The window area (A) is calculated again as a window rationality control parameter c ) And according to the area (A) c ) Window height (H) c ) Calculate the window width (W) c ) Completing window generation, wherein related parameters are represented by formulas (3-5) - (3-8); (3) Then, according to the window position (C wz ) And finishing the generation of the vertical face windowing and sleeve type parameterized three-dimensional model. Window position (C) wz ) Describing by adopting a coordinate positioning method, taking the left lower corner point of each functional space wall surface as a coordinate origin, establishing a plane rectangular coordinate system, and simultaneously describing the position (C) of the window by taking the relative position of the window center point on the wall surface as a coordinate point wz ) The method comprises the steps of carrying out a first treatment on the surface of the (4) And then from the window position (C wz ) The coordinates finish window positioning and facade window opening on the wall surface to be windowed; (5) Finally, a parameterized three-dimensional model is generated according to the layer number information in the basic information parameters and the design rules, and a performance model can be constructed as shown in fig. 14 (b).
Based on the method, parameterized modeling software Rhino & Grasshoper (RH & GH) is adopted as a development platform, and a parameterized generation and optimization program for the residential bushing type scheme is built. The procedure is mainly divided into: and generating a pattern set by parameterization, optimally designing the pattern set, and simulating the pattern set performance. The generation module is compiled by combining a parameterized model generation method of the GH visual programming technology and a Python script language; the optimization module selects Octopus taking SPEA2 as an algorithm core as an intelligent optimization kernel; and the performance simulation module can be used for accessing the performance simulation port in a self-defined mode according to requirements.
The application scene of the method of the invention is as follows: the method is characterized in that data are input through a mobile phone or a computer and the like, then the data are uploaded to a server, and after various schemes are obtained through the method, a user finally selects the scheme.
Specific examples are as follows:
the project location is nan ning; the total number of the building layers is 6; the combined form of the sleeve type is one ladder for two households, the sleeve type is 3 chambers, 2 halls, 1 kitchen and 1 bathroom, and the two sleeve type bodies are ensured to be symmetrical; each set of hall of floor level links to each other with the traffic core, and the layout requirement in the cover is as follows: the hall is communicated with the walkway, the walkway is communicated with a dining room, a living room and 3 bedrooms (primary lying, secondary lying and secondary lying), the dining room is communicated with a kitchen and a living balcony, the living room is communicated with a landscape balcony 1, the primary lying and secondary lying and the landscape balcony 2 are communicated, the northbound room is the guest lying, the bathroom, the dining room and the kitchen, and the southerly room is the living room, the primary lying and the secondary lying.
According to the design requirement, finally drawing a building matrix table as shown in table 6, and initializing the building information matrix table by coding, wherein the basic information parameters, the layout information parameters, the plane information parameters and the elevation information parameters are included, and the coding meanings are as follows.
Basic information parameters: the building location is nan ning; the total building area is 1200-1300 square meters; one floor number of rooms and two floors; the number of stairs and entrances is 1; and 6 layers. Layout information parameters: the functional space is a set A of main lying, secondary lying, guest lying, living room, dining room, kitchen, toilet, hall and walkway, and a set B of main lying, secondary lying, guest lying, living room, dining room, kitchen, toilet, hall and walkway, and the traffic core is respectively coded as a 0 、a 1 、a 2 、a 3 、a 4 、a 5 、a 6 、a 7 、a 8 、b 0 、b 1 、b 2 、b 3 、b 4 、b 5 、b 6 、b 7 、b 8 A traffic core; the spatial connection relation and the spatial orientation are set in table 6, and the spatial connection relation has the meaning: 0 (unconnected), 1 (position connected), 2 (spatially connected), 3 (inclusive); spatial orientation meaning: e (east), W (west), S (south), N (north),M (middle). Plane information parameters: functional space aspect ratio (K) ck ) Taking a default value calculated by a program according to a specification; functional space area (A) d ) Functional space balcony area (A) yt ) Setting 15.00 square meters for primary lying, 5.00 square meters for secondary lying, 11.00 square meters for secondary lying, 12.00 square meters for passenger lying, 0 square meters for passenger lying, 18 square meters for living room, 4.00 square meters for restaurant, 10 square meters for 3.00 square meters, 6.00 square meters for kitchen, 2.00 square meters for toilet, 6.00 square meters for toilet, 5.00 square meters for hall, and 5.00 square meters for pavement area, without limitation; master-slave configuration (ZW) yn ) Set to none (0). Facade information parameters: layer height (H) q ) 2.8-3.3 m; windowsill height (H) ct ) 0.9m; window height (H) c ) 1.8m; window wall area ratio (K) cq ) Calculating according to the method in the facade information parameters, wherein the reasonable value range of the lighting design specification on the window wall area ratio requirement can be met; window position (C) wz ) Using program default values, relative position (C wzxd ) Is (0.5, H) ct /H q )。
According to the design requirements and the building information matrix table established in the table 6, generating a topological relation diagram and a functional space shape of the floor plan, sequentially performing rectangular functional space splicing, generating a two-dimensional planar sketch, and finally generating an initialized three-dimensional simplified model, wherein the whole generation flow is shown in fig. 15.
The initial solution set is generated by the design conditions proposed above, and the solution set of the case comprises the suggested value range of the related design parameters and various spatial layout schemes, and each layout scheme selects one initial solution to display as shown in table 7 and fig. 16, so that the generated solution can better retain the initial preset parameters.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (3)
1. A method of generating a multi-story point house based on a building information matrix table, comprising the steps of:
s1, building a building matrix table based on plane information and azimuth constraint information according to design requirements and design rules:
s1-1, determining design parameters according to design rules;
s1-2, building a building matrix table according to design parameters and design requirements;
the design requirements include a rigidity requirement and an elasticity requirement; taking the rigidity requirement as a constraint condition, taking the elasticity requirement as an optimization target, wherein the rigidity requirement is a requirement which needs to be met in design; the elastic requirement is a non-mandatory requirement but is also a requirement related to the scheme quality, including sunlight, natural lighting, natural ventilation, carbon emission and sound insulation;
the design parameters include: basic information, layout information, plane information and elevation information;
the basic information includes: building locations, total building area, floor number of houses, stairs, number of entrances and exits and number of floors;
the layout information parameters include: the structure of the sleeve, the space function, the space relation and the space orientation;
the space functions comprise a space in the sleeve and a public transportation core, and the space in the sleeve comprises a main function space and a secondary function space;
the main functional space includes: the main lying, secondary lying, guest lying, living room, restaurant, kitchen, toilet and secondary functional space comprises: balcony and bathroom;
the public transportation core includes: hallways, walkways, traffic cores;
the spatial relationship includes; space unconnected, space connected, space communicated and space contained;
the spatial orientation includes: east, west, south, north, middle;
the plane information parameters include: functional space aspect ratio, functional space area, functional space cation area surface area and main guard configuration;
the parameters of the elevation information include: layer height, sill height, window wall area ratio and window position;
for summer hot and winter cold areas, when the space orientation is in the south direction, the maximum window wall area ratio K cqmax 0.45; when the space orientation is north, the maximum window wall area ratio K cqmax 0.4; when the space azimuth is east, the maximum window wall area ratio K cqmax 0.35; when the space orientation is western, the maximum window wall area ratio K cqmax 0.35;
for summer hot and winter warm areas, when the space orientation is in the south direction, the maximum window wall area ratio K cqmax 0.4; when the space orientation is north, the maximum window wall area ratio K cqmax 0.4; when the space azimuth is east, the maximum window wall area ratio K cqmax 0.3; when the space orientation is western, the maximum window wall area ratio K cqmax 0.3;
s2, generating a floor plan topological relation diagram under azimuth constraint according to the functional layout information parameters in the building matrix table; the method comprises the following steps:
s2-1, a layout information parameter rectangular table in a building information matrix table is called to obtain constraints of space orientations of various sets of functions, so that the solution space of a topological relation diagram is reduced;
s2-2, carrying out one-dimensional grid division in different space orientations according to each set of grids, wherein the number of the grids divided by the one-dimensional grids is the number of functional spaces in the same space orientation; the arrangement and combination of the multi-layer point type residential floor plane functional space are carried out through one-dimensional grid division: (1) Dividing the relative space orientation into east, west, south, north and middle according to the space orientation coding information by taking each set of units as a unit; (2) Performing one-dimensional grid division according to the number of functional spaces of each set of patterns in different space orientations; (3) Then, the functional space topological points of each set of unit are fully arranged in the corresponding grid; (4) Then, all the combination possibilities of the floor plan function space under the condition of setting layout information parameters are obtained by combining a sleeve type combination mode;
s2-3, fully arranging the functional space topological points of each set of unit in the corresponding grid;
s2-4, organizing each set of layout information parameters by taking a traffic core as a core, and generating all solutions of the floor plan topological relation diagram; the floor plan organizes various sets by taking the traffic core as a core, and the generation of a floor plan topological relation diagram is completed according to the layout information parameters; the relative spatial position of the corresponding topological point of each functional space of the building can be represented by a spatial coordinate system through grid division of the space, namely, each functional room is abstracted into topological points, and the relative spatial position of each functional space is represented by the relative position relation of the topological points; defining a topological point position generation area through azimuth constraint; generating topological points of each functional space on the basis of space constraint; then defining the relative relation of each functional space through the space relation; comparing the top number of the topological relation graph with the intersection number of the topological connecting lines according to the requirement that the space streamline is not intersected, if the top number of the topological relation graph is not equal, eliminating the solution for the streamline intersection, and if the top number of the topological relation graph is equal, the streamline is not intersected; finally generating a topological relation scheme solution set which meets azimuth constraint, spatial relation and non-crossing topological streamline;
s3, generating a floor plan based on a rectangular splicing method according to plane information parameters in a building matrix table on the basis of a topological model, and generating a three-dimensional model according to elevation information parameters, wherein the method comprises the following steps:
s3-1, generating a functional space shape: generating a functional space shape according to plane information parameters in the building matrix table, and restricting the rationality of the functional space shape by adopting the functional space area and the functional space length-width ratio;
K ck and A d Functional space aspect ratio and functional space area, respectively; l (L) q 、W q The functional space is long and wide; k (K) ckmax 、K ckmin Representing the maximum and minimum values of the aspect ratio of the functional space, and K ckmax Not more than 2.00, K ckmin Not less than 0.50; l (L) qmax 、L qmin Representing the maximum and minimum values of the functional space surface width and depth, respectively, wherein D qmin ＜W q ＜D qmax 、D qmin ＜L q ＜D qmax ；
When the functional space is a hall, K ckmax 、K ckmin 0.5 and 2, respectively;
when the functional space is a living room, K ckmax 、K ckmin 0.56 and 1.77, respectively;
when the functional space is mainly lying, K ckmax 、K ckmin 0.63 and 1.58, respectively;
when the functional space is recumbent, K ckmax 、K ckmin 0.7 and 1.43, respectively;
when the functional space is a study room or a guest lying, K ckmax 、K ckmin 0.45 and 2, respectively;
when the functional space is a kitchen, K ckmax 、K ckmin 0.5 and 2, respectively;
when the functional space is a restaurant, K ckmax 、K ckmin 0.62 and 1.62, respectively;
when the functional space is a toilet, K ckmax 、K ckmin 0.75 and 1.33, respectively;
s3-2, splicing functional space shapes: judging whether each functional space is rectangular, and if the functional space is a non-rectangular functional space, unifying the functional space into a rectangular shape through a segmentation method or a complementation method; then splicing according to the shared edges of the functional spaces; the splicing according to the shared edges of the functional spaces comprises the following steps:
s3-2-1, obtaining connection forms among the functional spaces through the shared edges, wherein the connection forms comprise linear connection, triangular connection, internal connection and annular connection;
s3-2-2, performing main functional space splicing: judging whether an annular connection function space with a unique solution exists or not; if the functional space connected in the annular mode is spliced, firstly splicing the walkway and the hall if the functional space connected in the annular mode exists, otherwise, splicing the walkway and the hall; then splicing adjacent functional spaces step by step in a circulating way according to the space relation;
s3-2-3, after all the functional spaces are spliced, cutting off redundant walkways to obtain a sleeve type plan after one-time splicing;
s3-2-4, performing secondary functional space splicing: after the primary splicing of the sleeve type plane is completed, splicing the secondary functional space to the auxiliary functional space according to the sleeve type matrix table, and finally completing the generation of the sleeve type plane diagram;
s3-3, generating a three-dimensional model.
2. A method of generating a multi-story point home based on a building information matrix table of claim 1, wherein S1-2 comprises: respectively encoding basic information parameters and layout information parameters, and initializing plane information parameters and elevation information parameters to obtain a building information matrix table;
the building information matrix table consists of a plurality of two-dimensional arrays, including an adjacent matrix table and building parameter information.
3. A method of generating a multi-story point home based on a building information matrix table of claim 1, wherein S3-3 comprises the steps of:
s3-3-1, extracting the layer height in the elevation information parameters according to a formulated building information matrix table, endowing the building with a sleeve-type plan, and converting the plan into a three-dimensional model;
s3-3-2, determining a reasonable window wall area ratio range of each functional space as a control parameter of window rationality, calculating each window area, and calculating the window width according to each window area and the window height to finish window generation;
s3-3-3, finishing the generation of the vertical face windowing and sleeve type parameterized three-dimensional model according to the position of the window;
s3-3-4, finishing window positioning and facade windowing on the wall surface to be windowed according to the window position coordinates;
s3-3-5, finally generating a parameterized three-dimensional model according to the layer number information in the basic information parameters and the design rule.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211208724.6A CN115659453B (en) | 2022-09-30 | 2022-09-30 | Working method for generating multi-layer point type residence based on building information matrix table |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211208724.6A CN115659453B (en) | 2022-09-30 | 2022-09-30 | Working method for generating multi-layer point type residence based on building information matrix table |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115659453A CN115659453A (en) | 2023-01-31 |
| CN115659453B true CN115659453B (en) | 2023-12-01 |
Family
ID=84985284
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211208724.6A Active CN115659453B (en) | 2022-09-30 | 2022-09-30 | Working method for generating multi-layer point type residence based on building information matrix table |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115659453B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103823931A (en) * | 2014-02-21 | 2014-05-28 | 同济大学 | Method for architectural design by utilizing simplified models and unstructured grids |
| CN112686971A (en) * | 2020-12-29 | 2021-04-20 | 博锐尚格科技股份有限公司 | Method and system for undirected graph orientation of building system relation topology |
| CN113449355A (en) * | 2021-09-01 | 2021-09-28 | 江苏华邦工程造价咨询有限公司 | Building house type graph automatic generation method based on artificial intelligence |
| CN114241087A (en) * | 2021-12-21 | 2022-03-25 | 中设数字技术股份有限公司 | Building plane layout generation method based on bubble map |
| CN114996804A (en) * | 2022-05-24 | 2022-09-02 | 山东建筑大学 | Rural residential building customized design method matching with residential demand of user |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220108043A1 (en) * | 2021-10-14 | 2022-04-07 | Shenzhen Xkool Technology Co., Ltd. | Method and device for automatically generating residential building plan |
-
2022
- 2022-09-30 CN CN202211208724.6A patent/CN115659453B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103823931A (en) * | 2014-02-21 | 2014-05-28 | 同济大学 | Method for architectural design by utilizing simplified models and unstructured grids |
| CN112686971A (en) * | 2020-12-29 | 2021-04-20 | 博锐尚格科技股份有限公司 | Method and system for undirected graph orientation of building system relation topology |
| CN113449355A (en) * | 2021-09-01 | 2021-09-28 | 江苏华邦工程造价咨询有限公司 | Building house type graph automatic generation method based on artificial intelligence |
| CN114241087A (en) * | 2021-12-21 | 2022-03-25 | 中设数字技术股份有限公司 | Building plane layout generation method based on bubble map |
| CN114996804A (en) * | 2022-05-24 | 2022-09-02 | 山东建筑大学 | Rural residential building customized design method matching with residential demand of user |
Non-Patent Citations (10)
| Title |
|---|
| 丹麦当代集合住宅体型拓扑形变研究;郝桐 等;《住宅科技》;45-48 * |
| 保障性住房套型设计及产业化模块适应性研究;单承黎;张梦昕;王朝红;刘歆;卜琳;;建筑节能(04);81-84 * |
| 冯秋杰.基于参数化设计的城市住区生成与性能优化方法研究.《中国优秀硕士学位论文全文数据库 工程科技II辑》.2021,C038-391. * |
| 基于拓扑特征的建筑信息模型检索方法;张颉;李昌华;李智杰;;计算机应用研究(03);916-921 * |
| 张颉 ; 李昌华 ; 李智杰 ; .基于拓扑特征的建筑信息模型检索方法.计算机应用研究.2016,(03),916-921. * |
| 文学东 ; 陈为民 ; 谢洪 ; 闫利 ; .一种融合多源特征的建筑物三维模型重建方法.武汉大学学报(信息科学版).2018,(05),731-736. * |
| 杨永起，孔祥荣主编.《中国建筑保温防火产品及应用技术》.中国建材工业出版社,2015,73-74. * |
| 板式结构体系的箱形平板薄壳单元;高蕊;曹汝龙;王岩;杨令强;;济南大学学报(自然科学版)(03);315-319 * |
| 陈生琦.住宅建筑户型单元参数化生成及性能优化研究.《中国优秀硕士学位论文全文数据库 工程科技II辑》.2021,C038-202. * |
| 马英，曾海红编著.《汇宝幕墙计算软件用户使用手册》.西安交通大学出版社,2015,156. * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115659453A (en) | 2023-01-31 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109918751B (en) | Building three-dimensional semantic modeling method based on CityGML expansion | |
| Granadeiro et al. | Building envelope shape design in early stages of the design process: Integrating architectural design systems and energy simulation | |
| CN106960410A (en) | Underground pipe gallery approaches to IM based on BIM and GIS technology | |
| CN112883476B (en) | Layout method and device of building space and electronic equipment | |
| CN111723419B (en) | Method and system for determining residential building design | |
| Rodrigues et al. | Performance-based design of multi-story buildings for a sustainable urban environment: A case study | |
| CN109974703A (en) | A kind of construction method, system and the device of indoor navigation network | |
| CN110186457A (en) | A kind of bluetooth indoor positioning air navigation aid based on high-precision electronic map | |
| Shahbazi et al. | A comparative analysis of spatial configuration in designing residential houses using space syntax method (case studies: houses of Isfahan and modern architecture styles) | |
| Liang et al. | Research on design optimization of prefabricated residential houses based on BIM technology | |
| Wang et al. | A co-evolution model of planning space and self-built space for compact settlements in rural China | |
| Holtier et al. | Three-dimensional representation of urban built form in a GIS | |
| CN114459488A (en) | Indoor and outdoor integrated emergency disposal path planning method based on three-dimensional fusion road network | |
| CN115659453B (en) | Working method for generating multi-layer point type residence based on building information matrix table | |
| Alexandrou et al. | Heritage-BIM for energy simulation: a data exchange method for improved interoperability | |
| CN115600283B (en) | Multi-layer point type residence parameterization generating method guided by target performance | |
| Tong et al. | Algorithmic vernacular: A generative design process for hillside settlements and dwellings, optimized for siting, access and prefabricated construction | |
| CN106874612A (en) | A kind of settlement model generation method for designing of user oriented customization | |
| Xie et al. | An interactive approach for generating spatial architecture layout based on graph theory | |
| Xu | An Intelligent Optimization for Building Design Based on BP Neural Network and SPEA-II Multiobjective Algorithm | |
| Rose et al. | A tangible interface for collaborative urban design for energy efficiency, daylighting, and walkability | |
| Ghiassi | Development of a building data model for a performance based optimization environment | |
| CN111125815A (en) | Indoor curtain layout calculation method based on rules | |
| Tkeshelashvili | BIM to BEM: Development of integrated workflow from Archicad to Energy Evaluation | |
| Khalid | An Archetype of Architecture |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |