CN114528630A - Auxiliary furniture design method and device, electronic equipment and storage medium - Google Patents

Auxiliary furniture design method and device, electronic equipment and storage medium Download PDF

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CN114528630A
CN114528630A CN202210163178.2A CN202210163178A CN114528630A CN 114528630 A CN114528630 A CN 114528630A CN 202210163178 A CN202210163178 A CN 202210163178A CN 114528630 A CN114528630 A CN 114528630A
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furniture
house type
auxiliary
arrangement
relationship
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邱辉平
卢燕青
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Guangdong 3vjia Information Technology Co Ltd
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Abstract

The embodiment of the application provides a furniture design assisting method and device, electronic equipment and a storage medium, and relates to the technical field of home decoration design. The method comprises receiving input house type data; analyzing the house type data to identify a house type functional area and obtain main furniture information; the method realizes the arrangement of the auxiliary furniture by depending on the main furniture and the house type functional area, can preset the furniture arrangement relationship, is more flexible, meets different customer requirements, and solves the problems that the existing method needs to modify a large amount of furniture and has high modification cost.

Description

Auxiliary furniture design method and device, electronic equipment and storage medium
Technical Field
The application relates to the technical field of home decoration design, in particular to a method and a device for assisting furniture design, electronic equipment and a storage medium.
Background
The existing home decoration intelligent auxiliary design method can only arrange preset furniture types, for example, bedrooms can be preset to arrange: the intelligent furniture arrangement system comprises a bed, a bedside cabinet, a wardrobe and a dresser, wherein only the furniture can be arranged, the position and the type and the number of the furniture are fixed, and if more furniture is required to be added and the type and the arrangement rule of the furniture are changed in the later period, the intelligent arrangement algorithm needs to be modified again, so that the expandability of the system is limited to a great extent, the modification cost is high, especially the arrangement design of certain auxiliary furniture or household appliances is targeted, the design schemes of different brands and different customer requirements are greatly different, a large amount of modification is often required, and the requirements of most users cannot be met.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for designing an auxiliary furniture, an electronic device, and a storage medium, which rely on a main furniture and a house type functional area to implement arrangement of the auxiliary furniture, and can preset a furniture arrangement relationship, so that the method is more flexible, meets different customer requirements, and solves the problems that the existing method needs to be modified in a large amount and the cost of modification is high.
The embodiment of the application provides an auxiliary furniture design method, which comprises the following steps:
receiving input house type data;
analyzing the house type data to identify a house type functional area;
analyzing the house type data to obtain main furniture information;
and arranging the auxiliary furniture by utilizing the house type functional area and the main furniture information based on a preset furniture arrangement relation.
In the implementation process, the auxiliary furniture is configured according to the furniture position relationship, in the process, the furniture arrangement relationship can be pre-configured, different customer requirements are met, the operation is more flexible, the cost is reduced, and the problems that the existing method needs to be modified in a large amount and the cost is high are solved.
Further, the analyzing the house type data to identify the house type functional area includes:
and identifying the house type data by using a target detection algorithm to obtain the category of the house type functional area and the corresponding rectangular frame coordinate.
In the implementation process, the house type data is identified by using a target detection algorithm, and the coordinates of the rectangular frame and the corresponding functional area category are obtained.
Further, the analyzing the house type data to obtain the master furniture information includes:
acquiring the orientation of a wall closest to the house type data and using the orientation as the orientation of a corresponding door window and a main furniture, wherein the orientation of the wall is defined by an azimuth angle;
and acquiring the center coordinate of the main furniture, and using the azimuth angle and the center coordinate as the main furniture information.
In the above implementation, the orientation of the main furniture can be obtained from the orientation of the closest wall and the position of the furniture or house type structure can be represented by the center coordinates.
Further, before the step of arranging the auxiliary furniture using the house type functional area and the main furniture information based on the preset furniture arrangement relationship, the method further includes:
configuring a furniture arrangement knowledge graph;
and acquiring the furniture arrangement relation according to the furniture arrangement knowledge graph, wherein the furniture arrangement relation comprises the relationship between the house type functional areas, the relationship between the furniture and the house type functional areas and the relationship between the furniture and the furniture.
In the implementation process, the furniture arrangement knowledge graph is configured, so that specific furniture configuration rules can be obtained, specific position relations are obtained, configuration of the auxiliary furniture is achieved, different furniture arrangement knowledge graphs can be configured according to different user requirements, and the flexibility is high.
Further, the arranging the auxiliary furniture by using the house type functional area and the main furniture information based on the preset furniture arrangement relationship comprises:
acquiring the orientation and the position of the auxiliary furniture according to the azimuth angle and the center coordinate of the main furniture or the user functional area;
and arranging the auxiliary furniture by using a preset deviation value.
In the implementation process, the auxiliary furniture can be configured according to the furniture arrangement knowledge graph and the preset deviation value, in the process, the furniture type, number and size can be configured by configuring the furniture arrangement knowledge graph, and the configuration of the arrangement rule is changed, so that different types of furniture are added or modified, and the flexibility is high.
An embodiment of the present application further provides an auxiliary furniture design device, the device includes:
the receiving module is used for receiving input house type data;
the analysis module is used for analyzing the house type data so as to identify the house type functional area and obtain the information of the main furniture;
and the arrangement module is used for arranging the auxiliary furniture by utilizing the house type functional area and the main furniture information based on the preset furniture arrangement relation.
In the implementation process, the auxiliary furniture is configured according to the furniture position relationship, in the process, the furniture arrangement relationship can be pre-configured, different customer requirements are met, the operation is more flexible, the cost is reduced, and the problems that the existing method needs to be modified in a large amount and the cost is high are solved.
The parsing module includes:
the identification module is used for identifying the house type data by using a target detection algorithm;
and the coordinate acquisition module is used for acquiring the category of the house type functional area and the corresponding rectangular frame coordinate.
In the implementation process, the house type data is identified by using a target detection algorithm, and the coordinates of the rectangular frame and the corresponding functional area category are obtained.
The device further comprises:
the map configuration module is used for configuring a furniture arrangement knowledge map;
and the furniture arrangement relation module is used for acquiring the furniture arrangement relation according to the furniture arrangement knowledge graph, and the furniture arrangement relation comprises the relationship between the house type functional areas, the relationship between the furniture and the house type functional areas and the relationship between the furniture and the furniture.
In the implementation process, the furniture arrangement knowledge graph is configured, so that specific furniture configuration rules can be obtained, specific position relations are obtained, configuration of the auxiliary furniture is achieved, different furniture arrangement knowledge graphs can be configured according to different user requirements, and the flexibility is high.
The embodiment of the present application further provides an electronic device, which includes a memory and a processor, where the memory is used for storing a computer program, and the processor runs the computer program to make the computer device execute the auxiliary furniture design method described above.
The embodiment of the application also provides a readable storage medium, wherein computer program instructions are stored in the readable storage medium, and when the computer program instructions are read and executed by a processor, the auxiliary furniture design method is executed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of an auxiliary furniture design method provided in an embodiment of the present application;
FIG. 2 is a flow chart of a specific arrangement of auxiliary furniture provided by an embodiment of the present application;
fig. 3 is a flowchart for analyzing the house type data according to the embodiment of the present application;
fig. 4 is a flowchart of acquiring information of a master furniture according to an embodiment of the present application;
FIG. 5 is a flow chart of a configuration of a furniture arrangement knowledge-graph provided by an embodiment of the present application;
FIG. 6 is a schematic diagram of a furniture arrangement knowledge-graph structure provided by an embodiment of the present application;
fig. 7 is a layout route diagram of the auxiliary furniture provided by the embodiment of the application;
fig. 8 is a block diagram illustrating a configuration of an auxiliary furniture design device according to an embodiment of the present application;
fig. 9 is a block diagram of another auxiliary furniture design device according to an embodiment of the present application.
Icon:
100-a receiving module; 200-an analysis module; 201-an identification module; 202-a first coordinate acquisition module; 203-orientation acquisition module; 204-a second coordinate acquisition module; 300-arranging the module; 311-map configuration module; 312-furniture arrangement relationship module; 301-auxiliary furniture information acquisition module; 302-arranging the sub-modules.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Referring to fig. 1, fig. 1 is a flowchart of an auxiliary furniture design method according to an embodiment of the present application. In this method, the auxiliary furniture means that the placement positions are arranged depending on the position of the main furniture or the house-type functional area, for example: the auxiliary furniture bedside cabinet needs to be arranged beside the main furniture bed, and the auxiliary furniture living room passageway lamp needs to be arranged at the position of the living room passageway space. The user can define and configure the relationship among the furniture types, the number and the furniture arrangement in the design by himself, so that one set of design system can meet the arrangement of more furniture types, and the modification cost is reduced.
The method specifically comprises the following steps:
step S100: receiving input house type data;
step S200: analyzing the house type data to identify a house type functional area and obtain main furniture information;
fig. 2 shows a flow chart of the specific arrangement of the auxiliary furniture. As shown in fig. 3, the flowchart for analyzing the house type data specifically includes the following steps:
step S201: identifying the house type data by using a target detection algorithm;
step S202: and acquiring the category of the house type functional area and the corresponding rectangular frame coordinate.
And identifying the house type data by using an object detection algorithm to obtain a house type functional area, for example: a living room aisle area, a hallway area, and the like; for example, the target detection algorithm may use a pre-trained yolo-v5 algorithm, and the model has the input of a wire frame drawing for the house type data and the output of rectangular frame coordinates corresponding to the house type functional area and the corresponding functional area category.
As shown in fig. 4, for the master furniture information obtaining flowchart, the steps further include:
step S203: acquiring the orientation of a wall closest to the house type data and using the orientation as the orientation of a corresponding door window and a main furniture, wherein the orientation of the wall is defined by an azimuth angle;
step S204: and acquiring the center coordinate of the main furniture, and using the azimuth angle and the center coordinate as the main furniture information.
Acquiring main furniture information: the orientation and the center coordinates are used to determine the arrangement position of a piece of furniture, because the coordinates of the walls in the house data are set in a clockwise order, the orientation of the walls can be defined by azimuth angles, the position of the piece of furniture or the house structure (walls, doors and windows) can be represented by the center coordinates, and the orientations of the doors, the windows and the piece of furniture are consistent with the orientation of the closest wall, namely with the orientation of the closest wall, so that the orientation and the position coordinates of the main piece of furniture can be obtained.
Step S300: and arranging the auxiliary furniture by utilizing the house type functional area and the main furniture information based on a preset furniture arrangement relation.
As shown in fig. 5, a configuration flowchart of a knowledge-graph for furniture arrangement, before the step of arranging the auxiliary furniture by using the house type functional area and the main furniture information based on the preset furniture arrangement relationship, the method further includes:
step S311: configuring a furniture arrangement knowledge graph;
step S312: and acquiring the furniture arrangement relation according to the furniture arrangement knowledge graph, wherein the furniture arrangement relation comprises the relationship between the house type functional areas, the relationship between the furniture and the house type functional areas and the relationship between the furniture and the furniture.
The furniture arrangement knowledge graph is configured to obtain the furniture arrangement relationship, as shown in fig. 6, which is a schematic structural diagram of the furniture arrangement knowledge graph, and the position relationship and the deviation value among each functional area, the main furniture and the auxiliary furniture can be obtained, so that the specific furniture arrangement relationship can be obtained. Among them, the furniture arrangement relationship includes the space functional area, the position relationship of the furniture and the furniture, for example, the orientation deviation, the center distance deviation, the edge deviation and the like, as can be seen from fig. 6, the orientation deviation and the edge deviation between the sofa and the tea table, thereby obtaining the arrangement direction and the position of the auxiliary furniture tea table.
As shown in fig. 7, for the layout route chart of the auxiliary furniture, the steps may specifically include:
step S301: acquiring the orientation and the position of the auxiliary furniture according to the azimuth angle and the center coordinate of the main furniture or the user functional area;
step S302: and arranging the auxiliary furniture by using a preset deviation value.
Arrangement of auxiliary furniture: inquiring the furniture arrangement knowledge map to obtain the auxiliary furniture to be arranged, taking the orientation and the position of the house-type functional area or the main furniture as reference values, and calculating the orientation and the position of the auxiliary furniture through the configured deviation value to finish the arrangement of the auxiliary furniture. For example: the orientation of the bed and the bedside table is consistent, the orientation deviation value of the bed and the bedside table is 0, the bed and the bedside table are adjacent, and the distance between the center points of the bed and the bedside table is half of the sum of the widths of the bed and the bedside table.
In the implementation process, the furniture types, the number and the size of the furniture in the graph database can be configured, the arrangement rules can also be configured, so that different furniture needs to be added or modified by a user, different rules can be customized and take effect in real time, and the design system code does not need to be modified, so that the modification cost can be reduced.
An embodiment of the present application further provides an auxiliary furniture design device, as shown in fig. 8, which is a block diagram of a structure of the auxiliary furniture design device, and the device includes:
a receiving module 100 for receiving input user type data;
the analysis module 200 is used for analyzing the house type data to identify the house type functional area and obtain the main furniture information;
and the arrangement module 300 is configured to arrange the auxiliary furniture by using the house type functional area and the main furniture information based on a preset furniture arrangement relationship.
The auxiliary furniture is configured according to the furniture position relationship, the furniture arrangement relationship can be pre-configured in the process, different customer requirements are met, the method is more flexible, the cost is reduced, and the problems that the existing method needs to be modified in a large amount and the modification cost is high are solved.
As shown in fig. 9, a block diagram of another device for assisting furniture design is shown, wherein the parsing module 200 includes:
an identifying module 201, configured to identify the house type data by using a target detection algorithm;
a first coordinate obtaining module 202, configured to obtain the category of the house type functional area and the corresponding rectangular frame coordinate.
The parsing module 200 further includes:
an orientation obtaining module 203, configured to obtain an orientation of a closest wall in the house type data, where the orientation of the wall is defined by an azimuth, and serve as an orientation of a corresponding door window and a corresponding main furniture;
a second coordinate obtaining module 204, configured to obtain a center coordinate of the master furniture, so as to use the azimuth and the center coordinate as the master furniture information.
The device also includes:
a map configuration module 311 for configuring a furniture arrangement knowledge map;
a furniture arrangement relationship module 312, configured to obtain the furniture arrangement relationship according to the furniture arrangement knowledge graph, where the furniture arrangement relationship includes a relationship between the house-type functional areas, a relationship between the furniture and the house-type functional areas, and a relationship between the furniture and the furniture.
The placement module 300 includes:
an auxiliary furniture information obtaining module 301, configured to obtain an orientation and a position of an auxiliary furniture according to an azimuth and a center coordinate of a main furniture or a user functional area;
an arrangement submodule 302 for arranging the auxiliary furniture by using a preset deviation value.
The type, number and size of furniture in the graph database can be configured, the arrangement rules can be configured, so that different furniture needs to be added or modified by a user, different rules can be customized and can be effective in real time, and design system codes do not need to be modified.
The auxiliary furniture is arranged depending on the main furniture and the house type functional area, the furniture arrangement relationship can be preset, the method is more flexible, different customer requirements are met, and the problems that the existing method needs to be modified in a large amount and the modification cost is high are solved.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Claims (10)

1. A method of assisting furniture design, the method comprising:
receiving input house type data;
analyzing the house type data to identify a house type functional area;
analyzing the house type data to obtain main furniture information;
and arranging the auxiliary furniture by utilizing the house type functional area and the main furniture information based on a preset furniture arrangement relationship.
2. The method of claim 1, wherein parsing the house type data to identify a house type functional area comprises:
and identifying the house type data by using a target detection algorithm to obtain the category of the house type functional area and the corresponding rectangular frame coordinate.
3. The method of aided furniture design according to claim 1, wherein said parsing said house type data to obtain primary furniture information comprises:
acquiring the orientation of a wall closest to the house type data and using the orientation as the orientation of a corresponding door window and a main furniture, wherein the orientation of the wall is defined by an azimuth angle;
and acquiring the center coordinate of the main furniture, and using the azimuth angle and the center coordinate as the main furniture information.
4. The method of designing auxiliary furniture according to claim 3, wherein before the step of arranging auxiliary furniture using the house-type functional area and the main furniture information based on the preset furniture arrangement relationship, the method further comprises:
configuring a furniture arrangement knowledge graph;
and acquiring the furniture arrangement relationship according to the furniture arrangement knowledge graph, wherein the furniture arrangement relationship comprises the relationship between the household functional areas, the relationship between the furniture and the household functional areas and the relationship between the furniture and the furniture.
5. The method of designing auxiliary furniture according to claim 4, wherein the arranging the auxiliary furniture using the house-type functional area and the main furniture information based on the preset furniture arrangement relationship comprises:
acquiring the orientation and the position of the auxiliary furniture according to the azimuth angle and the center coordinate of the main furniture or the user functional area;
and arranging the auxiliary furniture by using a preset deviation value.
6. An auxiliary furniture design device, characterized in that the device comprises:
the receiving module is used for receiving input house type data;
the analysis module is used for analyzing the house type data so as to identify the house type functional area and obtain the information of the main furniture;
and the arrangement module is used for arranging the auxiliary furniture by utilizing the house type functional area and the main furniture information based on the preset furniture arrangement relation.
7. The device of claim 6, wherein the parsing module comprises:
the identification module is used for identifying the house type data by using a target detection algorithm;
and the coordinate acquisition module is used for acquiring the category of the house type functional area and the corresponding rectangular frame coordinate.
8. The auxiliary furniture design device of claim 7, further comprising:
the map configuration module is used for configuring a furniture arrangement knowledge map;
and the furniture arrangement relation module is used for acquiring the furniture arrangement relation according to the furniture arrangement knowledge graph, and the furniture arrangement relation comprises the relationship between the house type functional areas, the relationship between the furniture and the house type functional areas and the relationship between the furniture and the furniture.
9. An electronic device, characterized in that the electronic device comprises a memory for storing a computer program and a processor for executing the computer program to cause the computer device to perform the method of aided furniture design according to any of claims 1-5.
10. A readable storage medium having stored thereon computer program instructions which, when read and executed by a processor, perform the method of aided furniture design of any of claims 1 to 5.
CN202210163178.2A 2022-02-22 2022-02-22 Auxiliary furniture design method and device, electronic equipment and storage medium Pending CN114528630A (en)

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CN202210163178.2A CN114528630A (en) 2022-02-22 2022-02-22 Auxiliary furniture design method and device, electronic equipment and storage medium

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Application Number Priority Date Filing Date Title
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114722442A (en) * 2022-06-08 2022-07-08 广东三维家信息科技有限公司 Cabinet layout method and device, computer equipment and storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114722442A (en) * 2022-06-08 2022-07-08 广东三维家信息科技有限公司 Cabinet layout method and device, computer equipment and storage medium

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