KR20240020977A - Interior design assistance appratus and interior design assistance method - Google Patents

Abstract

An interior design support device and an interior design support method are disclosed. The interior design support method according to the present invention includes obtaining a two-dimensional floor plan of a target house for which a user wishes to decorate the interior, analyzing the two-dimensional floor plan, and selecting a plurality of two-dimensional images of the target house shown in the two-dimensional floor plan. Creating a 3D house model divided into a plurality of 3D room spaces corresponding one-to-one to the room area, setting a target space among the plurality of 3D room spaces, and a plurality of target virtual objects to be placed in the target space. A step of setting, wherein each target virtual object is a three-dimensional model mapped to one object type among furniture, home appliances, props, lighting, curtains, partitions, wallpaper, and flooring, and the plurality of target virtual objects are the target It includes the step of generating a plurality of interior projections representing the appearance of the interior arranged in space.

Description

Interior design support device and interior design support method {INTERIOR DESIGN ASSISTANCE APPRATUS AND INTERIOR DESIGN ASSISTANCE METHOD}

The present invention relates to an interior design support device and an interior design support method. More specifically, the present invention relates to an interior design support device and an interior design support method. More specifically, the present invention relates to a two-dimensional floor plan of a target house for which a user wishes to design an interior, by reflecting the external environment and unique details of the occupants, etc. to create a virtual room for each room in the target house. It is about technology that provides realistic interior design results as a 3D model.

According to a market report published in 2021, the interior design software market was valued at USD 3,829 million in 2019 and is expected to reach USD 6,434 million by 2025, growing at a CAGR of 9.07% during the forecast period (2020-2025). .

Meanwhile, demand for interior design of houses such as apartments has recently increased further starting with the COVID-19 pandemic, and from the perspective of users wishing to do interior design, there is a need to check the completed interior appearance in advance before proceeding with the actual interior design. However, several interior design services are being provided through the Internet to meet the needs of these interior design consumers.

However, existing interior design services require advice and cooperation from interior design experts who are familiar with how to operate specific software, which makes it difficult for general users to utilize them directly. In addition, by using only fragmentary information such as the area and dimensions of each room of a specific house as input, there is a large gap between the expected interior appearance and the actual interior appearance, resulting in low user satisfaction and a huge waste of time and money due to re-construction, etc. There is even a problem.

The present invention was created to solve the above problems. It generates a 3D model for each room of the house from the 2D floor plan of the house where the user wants to decorate the house, and includes interior objects such as furniture in the 3D model. The purpose is to provide a method and device for providing a virtually arranged appearance as an interior result.

Additionally, the purpose of the present invention is to provide a method and device for automatically recommending interior objects to be placed in each room based on the spatial characteristics of each room in a target house.

In addition, the present invention includes information on household members (e.g., number of household members, personal details for each household member, etc.), external environment information (e.g., amount of sunlight, external noise, wind (level of ventilation), etc.) in the spatial characteristics of each room of the target house. The purpose is to provide a method and device for automatically recommending the optimal placement location for each interior object to be placed in each room of the target house, reflecting the above.

An interior design support method according to an aspect of the present invention includes obtaining a two-dimensional floor plan of a target house for which a user desires interior design, analyzing the two-dimensional floor plan, and selecting a plurality of the target houses shown in the two-dimensional floor plan. Creating a 3D house model divided into a plurality of 3D room spaces corresponding one-to-one to the 2D room area, setting a target space among the plurality of 3D room spaces, and a plurality of space to be placed in the target space. A step of setting target virtual objects, wherein each target virtual object is a three-dimensional model mapped to one object type among furniture, home appliances, props, lighting, curtains, partitions, wallpaper, and flooring, and the plurality of target virtual objects. It includes generating a plurality of interior projections representing the appearance of the interior arranged in the target space.

The step of setting the plurality of target virtual objects includes obtaining spatial characteristics of the target space, calculating similarity between the spatial characteristics (attributes) of each of a plurality of pre-stored reference room spaces and the spatial characteristics of the target space. , determining a plurality of recommended virtual objects mapped to each reference room space whose similarity is greater than or equal to a threshold among the plurality of reference room spaces, and each recommended virtual object selected by a user among the plurality of recommended virtual objects as the target virtual object. It may include the step of setting it as an object. The spatial characteristics may include at least two of room type, room size, room shape, wall location, wall size, door location, door size, window location, and window size.

The interior design support method may further include receiving household member information indicating the number of household members living or scheduled to reside in the target house and personal specific information for each household member. The personal information may include at least two of gender, age, occupation, physical characteristics, living patterns, use of the target space, desired use of the target space, and desired interior style for the target space.

The step of setting the plurality of target virtual objects includes obtaining spatial characteristics of the target space, and based on the spatial characteristics of the target space and the household member information, each of the plurality of pre-stored sample virtual objects is stored in the target space. calculating a placement score for each sample virtual object, sorting the plurality of sample virtual objects based on the placement score to determine a plurality of recommended virtual objects, and each recommendation selected by the user among the plurality of recommended virtual objects. It may include setting a virtual object as the target virtual object.

The step of generating the plurality of interior projections includes determining a placement order of each of the plurality of target virtual objects based on the household member information, and according to a predefined placement rule for each object and the placement order, Generating the plurality of interior projections by repeating the object arrangement process of determining the arrangement position of each of the plurality of target virtual objects with respect to the target space so that the arrangement position of at least one of the plurality of target virtual objects is different. It can be included.

The interior design support method may further include obtaining house description information including at least one of first house description data, second house description data, and third house description data of the target house. The first house description data may indicate at least one of the direction and altitude of the target house. The second house description data may indicate at least one of the location, size, and height of surrounding buildings adjacent to the target house. The third house description data may indicate at least one of the location of a road adjacent to the target house and the volume of vehicle traffic.

The interior design support method may further include generating external environment information including at least one of sunlight information and noise information of the target space by reflecting the housing information on spatial characteristics of the target space.

The step of determining the placement order of each of the plurality of target virtual objects may be further based on the external environment information.

The interior design support method includes calculating a plurality of total evaluation scores for each of the plurality of interior projections using a plurality of predefined evaluation items, and dividing the plurality of interior projections into the total evaluation score. The method may further include setting at least one of the plurality of expected interior views as a recommended expected interior view by sorting according to the proposed interior view.

The plurality of evaluation items may include at least two of space distinction, usability between objects, convenience of movement, natural lighting for each object, coherence between objects, openness of view, freedom from noise, and risk of injury.

The interior design support method includes detecting free space of the target space from the recommended interior projection, searching for at least one additional virtual object that can be placed in the free space, and adding to the at least one additional virtual object. A step of generating object recommendation information for the object may be further included.

An interior design support device according to another aspect of the present invention includes a communication unit that acquires a two-dimensional floor plan of a target house, and a communication unit that analyzes the two-dimensional floor plan to determine a plurality of two-dimensional room areas of the target house shown in the two-dimensional floor plan. It includes a processor that generates a 3D house model divided into a plurality of 3D room spaces corresponding one-to-one. The processor may be configured to set a target space among the plurality of three-dimensional guest room spaces. The processor may be configured to set a plurality of target virtual objects to be placed in the target space. Each target virtual object is a three-dimensional model mapped to one of the following object types: furniture, home appliances, props, lighting, curtains, partitions, wallpaper, and flooring. The processor may be configured to generate a plurality of interior projections showing an interior appearance in which the plurality of target virtual objects are arranged in the target space.

According to at least one of the embodiments of the present invention, a 3D model for each room of the house is generated from a 2D floor plan of the target house for which the user wishes to decorate the house, and interior objects such as furniture are virtually arranged in the 3D model. It has the effect of providing the appearance as an interior result.

In addition, according to at least one of the embodiments of the present invention, it is possible to automatically recommend interior objects to be placed in each room based on the spatial characteristics of each room of the target house.

In addition, according to at least one of the embodiments of the present invention, household member information (e.g., number of household members, personal details for each household member, etc.), external environment information (e.g., amount of sunlight, external This has the effect of automatically recommending the optimal placement location for each interior object to be placed in each room of the target house by reflecting factors such as noise, etc.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

The following drawings attached to this specification illustrate preferred embodiments of the present invention, and serve to further understand the technical idea of the present invention together with the detailed description of the invention to be described later. Therefore, the present invention includes the matters described in such drawings. It should not be interpreted as limited to only .
1 is a diagram illustrating the configuration of an interior service provision system according to an embodiment of the present invention.
Figure 2 is an exemplary flowchart for explaining an interior design support method according to an embodiment of the present invention.
3 is an exemplary two-dimensional floor plan of a target house.
FIG. 4 is an exemplary flowchart for explaining a method including the subroutine of step S220 of FIG. 2.
FIG. 5 is a diagram referenced in explaining the method of FIG. 4.
FIG. 6 is a flowchart for explaining an example of a method including the subroutine of step S240 of FIG. 2.
Figure 7 is an example of an interior guide screen displayed on a user terminal while executing the method of Figure 6.
FIG. 8 is a flowchart for explaining an example of a method including the subroutine of step S240 of FIG. 2.
Figure 9 is an example of an interior guide screen displayed on a user terminal while executing the method of Figure 8.
FIG. 10 is a flowchart for explaining an example of a method including the subroutine of step S250 of FIG. 2.
Figure 11 is an example of a rule table in which placement rules for each object are defined.
Figure 12 is a diagram illustrating a plurality of interior projections by way of example.
FIG. 13 is a flowchart for explaining another example of a method including the subroutine of step S250 of FIG. 2.
Figure 14 is an exemplary flowchart for explaining an interior design support method according to another embodiment of the present invention.
FIG. 15 is a diagram illustrating evaluation results for the three interior predictions of FIG. 12.

Details regarding the purpose and technical configuration of the present invention and its operational effects will be more clearly understood by the following detailed description based on the drawings attached to the specification of the present invention. Embodiments according to the present invention will be described in detail with reference to the attached drawings.

The embodiments disclosed in this specification should not be construed or used as limiting the scope of the present invention. It is obvious to those skilled in the art that the description, including embodiments, of this specification has various applications. Accordingly, any embodiments described in the detailed description of the present invention are illustrative to better explain the present invention and are not intended to limit the scope of the present invention to the embodiments.

The functional blocks shown in the drawings and described below are only examples of possible implementations. Other functional blocks may be used in other implementations without departing from the spirit and scope of the detailed description. Additionally, although one or more functional blocks of the present invention are shown as individual blocks, one or more of the functional blocks of the present invention may be a combination of various hardware and software components that perform the same function.

Terms containing ordinal numbers, such as first, second, etc., are used for the purpose of distinguishing one of the various components from the rest, and are not used to limit the components by such terms.

In addition, the expression including certain components is an “open” expression and simply refers to the presence of the corresponding components, and should not be understood as excluding additional components.

Furthermore, when a component is referred to as being “connected” or “connected” to another component, it should be understood that although it may be directly connected or connected to the other component, other components may exist in between. do.

Figure 1 is a diagram illustrating the configuration of an interior service provision system 10 according to an embodiment of the present invention.

Referring to FIG. 1, the interior service providing system 10 includes an interior design support device 100 and a user terminal 200. The interior service providing system 10 may further include at least one of a housing information server 300 and an object information server 400. At least one of the housing information server 300 and the object information server 400 may be provided as included in the housing information server 300. Hereinafter, the interior service providing system 10 will be described assuming that it includes an interior design support device 100, a user terminal 200, a housing information server 300, and an object information server 400.

The interior design support device 100, the user terminal 200, the housing information server 300, and the object information server 400 may be connected to communicate with each other through a wired or wireless network. A wired or wireless network may be implemented as one or a combination of two or more of known communication networks such as, for example, a local area network, a wide area communication network, an Internet network, a mobile communication network, and a wired or wireless television network.

The interior design support device 100 includes a communication unit 110, a database 120, and a processor 130.

The communication unit 110 connects to a wired or wireless network to obtain information required to execute the interior design support method described later from the user terminal 100, the housing information server 300, and the object information server 400. You can.

The database 120 includes a computer-readable recording medium storing a computer program for executing various functions related to an interior design support method provided to the user terminal 100 from the interior design support device 100. The database 120 includes Read Only Memory (ROM), Random Access Memory (RAM), Erasable Programmable Read Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), flash memory, and Static RAM (SRAM). ), HDD (Hard Disk Drive), and SSD (Solid State Drive) may be implemented as one or a combination of two or more of various types of storage media. The database 120 contains data and information required to execute the interior design support method (e.g., reference room space, reference object list, sample virtual object, etc., described below).

The processor 130 controls the communication unit 110 and the database 120 to control the overall operation of the interior design support device 100. In terms of hardware, the processor 130 uses digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), microprocessors, and other functions. It can be implemented using at least one of the electrical units for. The processor 130 may execute instructions included in a computer program for executing an interior design support method.

The interior design support device 100 receives, from the user terminal 200, identification information of a target house, which is a house for which the user wishes to have interior design. The identification information of the target house is information for specifying the target house among numerous houses, including the address of the target house, housing type (e.g., apartment, single-family house, officetel, studio, etc.), area, name, building number, It can include lakes, floors, exclusive area, supply area, etc. Next, the interior design support device 100 obtains a two-dimensional floor plan of the target house based on the received identification information of the target house. For example, the interior design support device 100 primarily searches for a two-dimensional floor plan of a target house in the database 120 provided in the interior design support device 100, and searches the database for a two-dimensional floor plan of the target house. If it is not searched, the housing information server 300 can be accessed through a wired or wireless network to collect a two-dimensional floor plan corresponding to the identification information of the target house through a method such as crawling. Crawling is a task performed by a program that collects content existing on the web.

The user terminal 200 refers to a computing device owned by a user, that is, an interior consumer. The user terminal 200 is connected to the interior design support device 100 through a wired or wireless network, requests the interior design support device 100 to provide interior services for a target house, and proceeds with the process for providing interior services. User input information required may be transmitted to the interior design support device 100. The user terminal 200 uploads identification information of the target house or a two-dimensional floor plan of the target house to the interior design support device 100, interior requirements for the target house, information on household members living or scheduled to live in the target house, etc. You can enter . Additionally, the user terminal 200 may transmit information about at least one interior object to be placed for each room of the target house to the interior design support device 100, and may transmit interior design information provided from the interior design support device 100 to the interior design support device 100. Information (e.g., interior projection as a 3D model, recommended object information) may be received and displayed on the screen. Furthermore, the user terminal 200 can modify or edit interior-related information according to user input.

The user terminal 200, for example, connects to a wired or wireless network such as a personal computer, laptop, tablet PC, etc. and has a communication function with other devices, an input function for receiving various inputs from the user, and visually providing various information to the user. There is no particular limitation as long as the device has an output function, a function to execute a program stored in a computer-readable medium, a data processing function, and a data storage function.

The housing information server 300 stores two-dimensional floor plans of a plurality of houses and may refer to a server that provides real estate brokerage services, for example. The housing information server 300 responds to a request from the interior design support device 100 to provide a house drawing including identification information of the target house, and searches for a two-dimensional floor plan related to the identification information among a plurality of pre-stored two-dimensional floor plans. Next, when at least one 2D floor plan is searched, each searched 2D floor plan may be transmitted to the interior service providing server 100.

The housing information server 300 may store surrounding information for each house. Surrounding information for each house may include building information (eg, location, area, height, etc.) of surrounding buildings located within a predetermined distance from the target house. Surrounding information for each house may include road information (eg, location, speed limit, number of lanes, traffic volume, etc.) of roads located within a predetermined distance from the target house.

The object information server 400 stores object information of a plurality of interior objects. Interior objects refer to items used in the interior of a house, and may be mapped to any one object type among furniture, home appliances, lighting, curtains, partitions, wallpaper, flooring, and props. Object information of a specific interior object includes the object type and virtual object of the interior object, and may further include object characteristics, object name (model name), object price, manufacturer, manufacturing date, seller, etc. The virtual object is a three-dimensional model of an interior object, and is provided by the interior design support device 100 so that it can be virtually placed in a specific room space of a target house. Object characteristics include the interior object's design, color, dimensions (e.g., width, length, height, center, main axis, joint surface), material, appropriate age for use, precautions for use, etc.

Furniture refers to products that are placed in a house to increase the convenience of living, such as beds, wardrobes, desks, bookshelves, chairs, tables, sofas, dining tables, and desks. Home appliances refer to electronic products such as TVs, washing machines, dryers, air conditioners, induction cookers, and vacuum cleaners. In addition, various props such as vases and picture frames are also interior objects, and the object information may be stored in the object information server 400.

The interior design support device 100 connects to the object information server 400 through a wired or wireless network, searches for one or more interior objects to be placed for each room of the target house from the object information server 400, and searches for each searched interior object. You can obtain object information about an object.

FIG. 2 is an exemplary flowchart for explaining an interior design support method according to an embodiment of the present invention, and FIG. 3 is an exemplary two-dimensional floor plan of a target house. The method of FIG. 2 can be performed by executing a computer program stored in a computer-readable recording medium provided by the interior design support device 100.

Referring to FIGS. 2 and 3 , in step S210, the interior design support device 100 obtains a two-dimensional floor plan of a target house for which the user wishes to design an interior. In detail, the interior design support device 100 uses the identification information of the target house transmitted from the user terminal 200 as a search index to select the target house from the database 120 provided in the interior design support device 100. You can search for a two-dimensional floor plan or access the housing information server 300 to collect a two-dimensional floor plan of a target house. As shown in FIG. 3, the two-dimensional floor plan is a view showing a top view of the target house with the ceiling excluded. The two-dimensional floor plan is drawn with line segments and figures of various predetermined properties to distinguish various parts of the target house from each other, and may additionally contain text indicating representative uses for each area within the target house and dimensions for each area.

In step S220, the interior design support device 100 analyzes the two-dimensional floor plan of the target house and divides it into a plurality of three-dimensional room spaces corresponding one-to-one to the plurality of two-dimensional room areas of the target house shown in the two-dimensional floor plan. Create a 3D house model. Conversion of a 2D floor plan into a 3D house model can be implemented by executing an artificial intelligence-based image conversion algorithm. The interior design support device 100 may transmit a 3D house model to the user terminal 200. The user terminal 200 can visualize a 3D house model and display it on the screen. At this time, a space description message indicating the spatial characteristics of at least one of the plurality of three-dimensional room spaces may be displayed on the screen of the user terminal 200. The spatial characteristics of any room space include at least two of room type, room size (e.g., width, height, floor height, etc.), room shape, wall location, wall size, door location, door size, window location, and window size. may include. If it is impossible to obtain information on the floor height of the target house, a predetermined value (for example, 2.2 m) for the same type of house may be set as the floor height of the target house. Room types may be divided into multiple types, such as bedroom, bathroom, living room, kitchen, balcony, entrance, closet, duct, staircase, etc. Here, a bedroom may be a term referring to a multi-purpose room that can be used for other purposes such as studying, working, watching videos, and storing items in addition to simply sleeping.

In step S220, when a space integration request for two adjacent room areas corresponding to the living room and balcony among the plurality of two-dimensional room areas is received from the user terminal 200, the interior design support device 100 selects the living room and balcony. Two adjacent guest room areas corresponding to can be integrated into a single room area corresponding to the living room.

In step S230, the interior design support device 100 sets a target space among a plurality of three-dimensional room spaces. The target space refers to a room space selected by the user for interior design among a plurality of three-dimensional room spaces.

As an example, the user terminal 200 notifies the interior design support device 100 of the room space selected by the user among a plurality of three-dimensional room spaces, and the interior design support device 100 selects each room selected by the user. You can set a space as the target space.

As another example, the interior design support device 100 calculates interior preferences for a plurality of three-dimensional room spaces based on interior result information about the target house and other houses of the same type, and selects a predetermined number in order of highest interior preference. The room space of can be set as the target space.

In step S240, the interior design support device 100 sets a plurality of target virtual objects to be placed in the target space. Each virtual object may be, for example, a three-dimensional model of an interior object mapped to one object type among furniture, home appliances, lighting, curtains, partitions, wallpaper, flooring, and props. Each virtual object may be pre-stored in the database 120 provided in the interior design support device 100, or may be collected by the interior design support device 100 from the object information server 400.

In step S250, the interior design support device 100 generates a plurality of interior prediction maps showing the appearance of the interior in which the plurality of virtual objects set in step S240 are arranged in the target space. That is, each of the plurality of interior projections represents a state in which all virtual objects in the object list are arranged in the target space as one set without any overlapping parts. Additionally, in the plurality of interior projections, the arrangement position of at least one of the plurality of virtual objects in the object list is different from each other.

FIG. 4 is an exemplary flowchart for explaining a method including the subroutine of step S220 of FIG. 2, and FIG. 5 is a diagram referenced for explaining the method of FIG. 4.

Referring to FIG. 4 , in step S410, the interior design support device 100 searches for a line segment (WL) representing a wall of a target house in a 2D floor plan and recognizes a wall pattern in the 2D floor plan. As an example, referring to (a) of FIG. 5, the interior design support device 100 uses a logistic regression model to divide 2 by a predetermined area (n×n pixels, n is a natural number of 2 or more). The process can be repeated, searching for each line segment (WL) with a particular line style that represents a wall in the dimensional floor plan. The interior design support device 100 may estimate the actual wall thickness of the target house by reflecting the area information of the target house to the thickness of the wall pattern recognized in the two-dimensional floor plan.

In step S420, the interior design support device 100 detects wall junctions, doors, windows, and rooms shown in the two-dimensional floor plan. Referring to (b) of FIG. 5, each wall joint is a portion where two walls extending in different directions are connected to form a right angle, etc., and can be detected based on the wall pattern recognized in step S410. In addition, taking note of the fact that doors are usually shown as hinged types in 2D floor plans, while windows are shown as sliding types, each opening excluding the wall pattern in the 2D floor plan can be recognized as a door or window. do. Similar learning models can be used individually to recognize rooms, doors, and windows from a two-dimensional floor plan. That is, a learning model for room recognition, a learning model for door recognition, and a learning model for window recognition may be prepared separately. Accordingly, when the properties (e.g., labels, textures, etc.) of any one of the rooms, doors, and windows are modified/changed, the overall learning time can be saved by retraining only the specific learning model according to the modified/changed properties. In door recognition, a learning model for door recognition can be trained by defining multiple opening patterns (rotation method, etc.) applicable to the door as individual labels. Additionally, the interior design support device 100 may additionally extract the opening direction and size of each door and each window on the two-dimensional plane from the two-dimensional floor plan. In addition, the interior design support device 100 designates each space in the two-dimensional floor plan as a box area such as a square, and then identifies the room area of the two-dimensional floor plan through an object recognition model using TensorFlow or optical character recognition (OCR). Each text marked as a star can be identified, and the room type of the room area can be identified based on the identified text.

In step S430, the interior design support device 100 may generate nodes and edges of a two-dimensional floor plan based on data obtained as a result of steps S410 and S420. Specifically, referring to (c) of FIG. 5, the interior design support device 100 generates wall center information based on information on objects recognized and detected in steps S410 and S420, and then Wall center information is converted into vector lines through image vectorization technology. Next, a predefined generation rule for generating nodes and edges can be applied to the vector line to generate a node (N) corresponding to a wall junction and an edge (E) corresponding to the wall. The generation rule is, for example, (i) removing the remaining line segments excluding the longest line segment among the line segments within a first predetermined distance, and (ii) dividing line segments whose ends are spaced apart from each other within a second predetermined distance in the direction of each main axis. It may include detailed rules such as extending and connecting, (iii) removing line segments that are not vertical or horizontal, and (iv) adding a new line segment connecting two line segments spaced apart with an opening in between.

In step S440, the interior design support device 100 uses a structural solid geometry algorithm to create a plurality of objects shown in the two-dimensional floor plan, based on the data obtained as a result of steps S410 to S420. A plurality of three-dimensional room spaces corresponding one-to-one to the two-dimensional room area are created. As a result, the creation of a 3D house model of the target house corresponding to the 2D floor plan is completed. If explained in detail with reference to (d) of FIG. 5, a three-dimensional guest room space composed of polyhedrons corresponding to each room area is input as input values for wall thickness and floor height along with data describing walls and wall joints. Create and place a pre-modeled door or window object in the area where the opening is located, and create a closed curved upper and lower surface as the ceiling and floor, respectively, along the inside of the wall for each room space. can do.

Of course, the subroutine of step S220 described above with reference to FIG. 4 is an example, and the scope of the present invention is not limited to FIG. 4 and the description thereof, and other known three-dimensional space modeling techniques can be used to It should be understood that it is also possible to create a dimensional house model.

FIG. 6 is a flowchart for explaining an example of a method including the subroutine of step S240 of FIG. 2, and FIG. 7 is an example of an interior guide screen displayed on the user terminal 200 while executing the method of FIG. 6. .

Referring to FIG. 6, in step S610, the interior design support device 100 acquires spatial characteristics of the target space. The spatial characteristics of the target space may include at least two items of room type, room size, room shape, wall location, wall size, door location, door size, window location, and window size. The interior design support device 100 may obtain at least one value among a plurality of items defining spatial characteristics of the target space by applying a spatial search algorithm to the target space. Of course, at least one value among the plurality of items defining the spatial characteristics of the target space may be input by the user terminal 200 or modified at the request of the user terminal 200. Referring to FIG. 7 , the interior guide screen 700 displayed on the user terminal 200 may include a spatial display area 710, a spatial feature display area 720, and an object display area 730. The user selects a target space to be displayed in the spatial display area 710 through input (e.g., touch, click, keyboard input) on a button displayed in the spatial display area 710, and displays the selected target space in a display mode. can be selected as 2-dimensional or 3-dimensional. When 'Bedroom 1' is selected as the target space, a plurality of items defining the spatial characteristics of 'Bedroom 1' may be displayed in the spatial feature display area 720. The content of at least one of the plurality of items defining spatial features may be automatically input by the interior design support device 100.

In step S620, the interior design support device 100 calculates the similarity between the spatial characteristics of each of the plurality of pre-stored reference room spaces and the spatial characteristics of the target space. Here, the reference room space may be a term referring to a room space that has the same room type as the target space among the room spaces collected from the two-dimensional floor plan of at least one other house (preferably another house of the same type as the target house). .

Spatial features along with a space identification code are mapped to an arbitrary standard guest room space, and additionally object information of interior objects applied to the reference guest room space may be further mapped. The similarity between any two room spaces can be calculated, for example, by calculating a score for each item by applying a predefined weight for each item to the error for each item in the spatial characteristics of the two room spaces, and adding up the scores for all items. For example, the smaller the error for each item defining the spatial characteristics of the two guest room spaces, the higher the similarity between the two guest room spaces.

Furthermore, the similarity between household member information and/or external environment information associated with the two houses associated with each of the two guest room spaces may be calculated and then applied as additional or deducted points for the similarity between the spatial features of the two guest room spaces.

In step S630, the interior design support device 100 determines a plurality of recommended virtual objects mapped to each reference room space whose similarity is greater than or equal to a threshold among the plurality of reference room spaces.

When there is only one reference room space whose similarity is greater than the threshold, the interior design support device 100 may determine a plurality of recommended virtual objects to be placed in the target space identical to all sample virtual objects mapped to the reference room space.

When there are multiple reference room spaces whose similarity is greater than or equal to a threshold, the interior design support device 100 calculates the total number of sample virtual objects by object name from the reference object list (defining a plurality of sample virtual objects) for each of these reference room spaces. Apply a predetermined weight (e.g., indicating importance and preference) to each object name to calculate the placement score for each object name, select a predetermined number of object names in order of the highest placement score, and then correspond to the selected object name. Sample virtual objects can be determined as recommended virtual objects to be placed in the target space. For reference, the object name is a general term for interior objects that belong to a specific object type and have a unique purpose, and may be a distinct concept from the object model name given differently to interior objects of the same purpose. For example, beds, tables, desks, etc. with the same object type as 'furniture' are object names that are each distinguished by their own purpose. Among these, for beds, there may be numerous object model names depending on the manufacturer, seller, material, design, color, etc. You can.

For example, only the first reference guest room space and the second reference guest room space have a similarity greater than a threshold, and there are three sample virtual objects with the object name A (e.g., bookcase) in the reference object list of the first reference guest room space. , 1 sample virtual object with object name B (e.g., TV), 4 sample virtual objects with object name C (e.g., table), and 4 sample virtual objects with object name D (e.g., light). While it contains 3 objects, the standard object list of the second standard guest room space includes 4 sample virtual objects with object name A, 1 sample virtual object with object name B, and 2 sample virtual objects with object name C. Let's assume that there is one sample virtual object with the object name E. In this case, there are a total of 7 sample virtual objects with object name A, a total of 2 sample virtual objects with object name B, a total of 6 sample virtual objects with object name C, and a total of 3 sample virtual objects with object name D. , there is a total of 1 sample virtual object with object name E (e.g., partition). Among these, when the top two object names, object name A and object name B, are selected in order of the highest placement required score, the average number of sample virtual objects with object name A is 7/2 = 3.5, and samples with object name B are The average number of virtual objects is 2/2=1. Accordingly, the interior design support device 100 rounds up, down, or rounds the average number of sample virtual objects with object name A and the average number of sample virtual objects with object name B, respectively, to create a plurality of recommended virtual objects to be placed in the target space. Objects can be set. Referring to FIG. 7, an object list representing the object names of a plurality of recommended virtual objects determined through step S630 (e.g., recommended interior objects: TV, bed, desk, chair) will be displayed in the object display area 730. You can. Object names in the object list may be sorted and displayed in order of highest placement need score. When a specific object name (for example, 'TV') is selected by the user terminal 200, the interior design support device 100 sends object information about a recommended virtual object associated with the selected object name to the user terminal 200. , and accordingly, a thumbnail, etc. corresponding to the recommended virtual object of the received object information may be displayed in the object display area 730.

In step S640, the interior design support device 100 sets each recommended virtual object selected by the user among the plurality of recommended virtual objects as the target virtual object. As an example, when a user input of a predetermined pattern for a thumbnail representing a random recommended virtual object is detected by the user terminal 200 or the thumbnail is clicked and dragged into the space display area 710, the interior design support device 100 ) can set the recommended virtual object as the target virtual object.

FIG. 8 is a flowchart for explaining an example of a method including the subroutine of step S240 of FIG. 2, and FIG. 9 is an example of an interior guide screen displayed on the user terminal 200 while executing the method of FIG. 8. .

Referring to FIG. 8, in step S810, the interior design support device 100 acquires spatial characteristics of the target space. Since step S810 is common to step S610, repeated description will be omitted. Referring to FIG. 9 , the interior guide screen 900 displayed on the user terminal 200 may include a space display area 910, a household member information input area 920, and an object display area 930.

In step S820, the interior design support device 100 acquires household member information for the target house, indicating the number of household members residing or scheduled to reside in the target house and personal specific information for each household member. Household member information may be transmitted from the user terminal 100 to the interior design support device 100 through a wired or wireless network. For example, in the case of a couple and one child, the user can enter three people in the number of household members input menu in the household member information input area 920. The interior design support device 100 may request the user terminal 100 to display an input window for personal information for each household member equal to the number of household members entered.

Personal characteristics for each household member include gender, age, occupation, physical characteristics, lifestyle patterns (e.g., working from home all day, working outside from 9:00 to 18:00 on weekdays, 3rd shift, etc.), whether the target space is used, and information about the target space. Include at least two items: desired use, desired interior style for the target space (e.g., modern, antique, Nordic, etc.), and relationship with members of other households. The database 120 provided in the interior design support device 100 stores object information about a plurality of sample virtual objects associated with each individual item of personal information for each household member. For example, for 'gender', sample virtual objects such as TV, bed, desk, and chair are related to male, and for 'age', sample virtual objects such as bed, chair, sofa, etc. are related to people in their 60s or older. In addition, sample virtual objects such as desks, chairs, bookshelves, tables, etc. may be associated with 'work' as the desired use. For items that are not entered among the items of personal special information, a predetermined value may be automatically assigned to each item.

In step S830, the interior design support device 100 calculates a placement required score for each target space of a plurality of pre-stored sample virtual objects based on the spatial characteristics of the target space and household member information. For example, the required score for each item is calculated for each of a plurality of sample virtual objects based on the input values for each item of personal particulars for each household member checked as using the target space, and calculated for each item for each of the plurality of sample virtual objects. The required placement points can be determined equal to the total of the required points. For example, let's say that personal information consists of three items (age/life pattern/desired use). In this case, the need for a specific object (e.g., a sofa) for the target space will vary depending on the age, life pattern, and desired use of each household member. As a result, the sum of the necessary points for 'age', the necessary points for 'lifestyle pattern', and the necessary points for 'room use' can be calculated as the 'placement necessary score'. The required score for each item of personal particulars for each household member can be calculated by inputting the input values for each item of personal particulars into an item-specific scoring algorithm implemented through machine learning, etc. For reference, the scoring algorithm for each item may be learned from a large amount of learning data showing correlations between individual items, spatial features, and object features.

In step S840, the interior design support device 100 sorts a plurality of sample virtual objects based on placement required scores to determine a plurality of recommended virtual objects. As an example, each sample virtual object whose placement required score is greater than or equal to a threshold may be determined as a recommended virtual object. As another example, among a plurality of sample virtual objects, a predetermined number of sample virtual objects may be determined as recommended virtual objects in order of highest placement need score. Referring to FIG. 9, an object list representing the object names of a plurality of recommended virtual objects determined through step S840 (e.g., recommended interior objects: bed, table, bookshelf, dressing table) will be displayed in the object display area 930. You can. Object names in the object list may be sorted and displayed in order of highest placement need score. When a specific object name (e.g., 'bed') is selected by the user terminal 200, the interior design support device 100 sends object information about a recommended virtual object associated with the selected object name to the user terminal 200. , and accordingly, a thumbnail, etc. corresponding to the recommended virtual object of the received object information may be displayed in the object display area 930.

In step S850, the interior design support device 100 sets each recommended virtual object selected by the user among the plurality of recommended virtual objects as the target virtual object. Since step S850 is common to step S640, repeated description will be omitted.

FIG. 10 is a flowchart for explaining an example of a method including the subroutine of step S250 of FIG. 2, FIG. 11 is an example of a rule table in which placement rules for each object are defined, and FIG. 12 is a plurality of interior projections. This is an exemplary drawing.

In step S1010, the interior design support device 100 determines the placement order of each of the plurality of target virtual objects based on household member information. In detail, since the preference or need for each target virtual object may be different for each household member, determining the placement ranking of each target virtual object in the target space is a way to increase the user's satisfaction with the interior service results. For example, if a target virtual object of low importance is placed in the target space before a target virtual object of high importance, there may be a problem such as the target virtual object of high importance being placed in an inappropriate location. The interior design support device 100 may determine the placement order for each target virtual object by applying an artificial intelligence-based object placement algorithm to household member information.

For example, the target space is 'bedroom 1', household member 1's usage of the target space is 'sleep' and 'work', household member 2's usage is 'reading', and the target virtual objects are 'TV', ' Let us assume the case of ‘bed’, ‘desk’ and ‘chair’. In this case, the object related to 'sleep' is 'bed', the objects related to 'work' are 'desk' and 'chair', and the objects related to 'reading' are 'desk' and 'chair'. As can be seen intuitively, in terms of similarity in usage between household members, 'desk' and 'chair' may be given a higher placement priority than 'TV' or 'bed'.

In step S1020, the interior design support device 100 determines the arrangement position of each target virtual object with respect to the target space so that the arrangement position of at least one of the plurality of target virtual objects is different according to a predefined arrangement rule and arrangement order for each object. By repeating the object placement process to determine , multiple interior projections are generated. The object placement process can be implemented using generative design (which can also be called productive design or procedural design).

Referring to FIG. 11, the rule table defines placement rules associated with each of a plurality of objects. One or more placement rules may be mapped per object. Placement rules may be determined depending on the characteristics of the object itself or considering its correlation with other objects. The user terminal 200 may delete or modify at least one placement rule in the rule table according to the user's request, and may also add a new placement rule. Meanwhile, the numerical value of the arrangement rule may be a fixed value or a variable value determined by the interior design support device 100 based on the spatial characteristics of the target space and the object characteristics of each object. As an example, the interior design support device 100 may calculate an appropriate distance between the bed and the TV by considering the size of the bed, the size of the TV, and the dimensions of the target space.

The interior design support device 100 sequentially arranges the target virtual objects in the remaining space of the target space according to the placement rule, in order of high placement priority. An interior prediction map is generated whenever the arrangement of a plurality of target virtual objects for the target space is completed.

Referring to FIG. 12 , as mentioned above, the plurality of interior projection maps 1210, 1220, and 1230 have different arrangement positions of at least one of the plurality of target virtual objects arranged in each. For example, the interior projections 1210, 1220, and 1230 have different bed arrangement positions. As another example, the interior projection map 1210 and the interior projection diagram 1220 have the same desk arrangement position, but the TV arrangement position is different.

The interior design support device 100 may generate a proposal message for at least one target virtual object according to the correlation between target virtual objects in each interior prediction map. For example, the interior design support device 100 determines the appropriate size of the TV (for example, 55 inches) based on the distance between the bed and the TV placed in the interior projection map 1230, and determines the appropriate size of the TV. A suggestion message about the size may be transmitted to the user terminal 200.

FIG. 13 is a flowchart for explaining another example of a method including the subroutine of step S250 of FIG. 2.

In step S1310, the interior design support device 100 acquires house description information including at least one of first house description data, second house description data, and third house description data of the target house. The first house description data represents at least one of the direction and altitude of the target house. The direction of the target house may be extracted from a digital map of the address of the target house. The height of the target house can be determined by multiplying the number of floors of the target house by the height of each floor. The second house description data represents at least one of the location, size, and height of adjacent surrounding buildings within a predetermined distance from the target house. Information about surrounding buildings can be extracted from a digital map of the address of the target house. The third house description data represents at least one of the location of an adjacent road and vehicle traffic volume within a predetermined distance from the target house.

In step S1320, the interior design support device 100 reflects the house description information on the spatial characteristics of the target space to generate external environment information including at least one of sunlight information and noise information of the target space. The sunlight information may indicate a trend of changes in sunlight for the target space (for example, by season, month, or time). The amount of sunlight information includes the direction of the target house (e.g., south-facing, southwest-facing, east-facing, north-facing, etc.), the relative location of the target space within the target house, whether the target space has windows, the window location and window size, and the size of the windows in the surrounding buildings. It can be obtained using an artificial intelligence-based sunlight inference algorithm using information, etc. as input values. Noise information is generated using an artificial intelligence-based noise inference algorithm using the relative position between the target house and the road, the relative position of the target space within the target house, and the angle of the straight line connecting the target house from the road to the ground as input values. can be obtained.

In step S1330, the interior design support device 100 determines the placement order of each of the plurality of target virtual objects based on household member information and external environment information. Compared to step 1010 of FIG. 10, step S1330 is different in that external environment information serves as an additional variable in determining the placement rank for each target virtual object. For example, assuming that other conditions are the same, the higher the amount of sunlight in the target space, the relatively higher the placement ranking of 'desks' etc. related to work where sunlight acts as a positive factor, while the ranking of 'desks' etc. related to work where sunlight acts as a negative factor becomes relatively higher. The placement ranking of items such as ‘TV’ related to video viewing may be relatively low. As another example, assuming that other conditions are the same, the higher the noise level in the target space at night, the more important the placement of the 'bed' for quality sleep is, so the placement ranking of the 'bed' will be relatively higher than that of other objects. You can.

In step S1340, the interior design support device 100 determines the arrangement position of each target virtual object with respect to the target space so that the arrangement position of at least one of the plurality of target virtual objects is different according to the predefined arrangement rule and arrangement order of each object. By repeating the object placement process to determine , multiple interior projections are generated.

FIG. 14 is an exemplary flowchart for explaining an interior design support method according to another embodiment of the present invention, and FIG. 15 is a diagram illustrating evaluation results for three expected interior views of FIG. 12. The method of FIG. 14 may be executed by the interior design support device 100 as a follow-up procedure to the method of FIG. 2.

In step S1410, the interior design support device 100 calculates a plurality of total evaluation scores for each of the plurality of interior predictions using a plurality of predefined evaluation items.

The plurality of evaluation items may include at least two of space distinction, usability between objects, convenience of access, convenience of movement, natural lighting for each object, coherence between objects, openness of view, freedom from noise, and risk of injury.

Spatial separability indicates the degree to which the target space is appropriately divided by use purpose by target virtual objects. For example, if a bed related to sleep is placed between a desk related to work and a bookshelf, it becomes a deductible factor for space differentiation. On the other hand, if a desk and bookshelf related to work and a bed related to sleep are placed in two spaces that divide the target space, it becomes an additional point factor for space differentiation. In the interior projection 1210 of FIG. 12, the desk and bookshelves related to work and the bed related to sleep are divided into two parts in the target space, so the evaluation score for space differentiation can be set high. On the other hand, in the interior projection 1230 of FIG. 12, not only are the desk related to work and the bed related to sleep arranged in contact with each other, but also the bed is arranged between the bookshelf on the left and the bookshelf on the right, thereby improving spatial differentiation. The evaluation score may be set low.

Inter-object usability indicates the usability according to the purpose and distance of the two objects. The closer the distance between homogeneous objects predefined as having similar uses (e.g., desk and chair, desk and bookshelf, bed and side table), the closer the distance between heterogeneous objects predefined as having dissimilar uses (e.g., TV and It can be said that the greater the distance between objects (bookshelves, beds, and TVs), the higher the usability between objects.

Convenience of access refers to the degree to which a user can easily access an object. For example, if only one of the four sides of the bed is placed in contact with the wall, the user can access the bed through the remaining three sides. As another example, if two of the four sides of the desk are placed in contact with the corners of an 'ㄱ' shaped wall, the user can access the desk through the remaining two sides. For each object, it can be said that the greater the number of aspects accessible to the user, the higher the convenience of accessing the object.

Ease of movement indicates the ease of movement of the user through the remaining space in the target space excluding target virtual objects. For example, in the interior prediction map 1230 of FIG. 12, if the remaining space (distance) between the bookshelf on the right and the bed is more than a predefined appropriate value (e.g., average adult shoulder width, body size of household members), convenience of movement On the other hand, if the remaining space (distance) between the desk and bed is less than the appropriate value, it is a factor in the evaluation of convenience of movement.

Natural lighting for each object indicates the degree to which natural light flowing in through the window of the target space reaches each target virtual object. The closer a target virtual object is to a window, related to a use (for example, work) in which natural light (sunlight) acts as a positive factor, the higher the natural light quality for each object, while natural light (sunlight) acts as a negative factor. It can be said that the closer the target virtual object related to the intended use (for example, watching a video) is to a window, the lower the natural lighting for each object.

Coherence between objects indicates the appropriateness of the separation distance between objects. For example, when other objects are located within a predetermined distance from the turning radius according to the opening and closing of the closet door, the inter-object interference can be said to be large. As another example, in the interior projection 1220 of FIG. 12, the TV is placed to be obscured by an open door, so that interference between objects can be set to be high.

View openness depends on the presence or absence of objects that obstruct the view when looking at the side wall from the door of the target space and the degree of view obstruction for each object. If the target virtual objects are arranged in descending order of height based on the center of the target space, the field of view openness can be said to be good, and if a high-height target virtual object is placed between two low-height target virtual objects, the field of view openness can be said to be good. It can be said to be low.

Noise freedom refers to the degree to which target virtual objects are appropriately arranged to minimize the negative influence of noise. It can be said that the closer a target virtual object (for example, a TV), which has a greater negative influence from noise, is placed to a window, the lower the noise freedom. In the interior projection 1220 of FIG. 12, the bed is placed far away from the window, so noise freedom can be set to be high.

The risk of injury indicates the possibility and degree of injury to a household member using the target space due to the arrangement of the target virtual object. For example, if the household member using the target space is an infant, it can be said that the higher the height of the bed and the higher the center of gravity of the bookshelf, the higher the risk of injury.

The evaluation score for each evaluation item can be set within a certain numerical range (for example, 0 to 10 points) by inputting the expected interior design into an algorithm implemented in advance through machine learning. Referring to FIG. 15, radial charts (1510, 1520, 1530) showing evaluation results using six evaluation items for the interior projections (1210, 1220, 1230) of FIG. 12 are provided on the user terminal 200 and displayed on the screen. It can be displayed in . The interior design support device 100 may calculate the total evaluation score by adding up the evaluation scores for each evaluation item for each of the interior prediction maps 1210, 1220, and 1230.

In step S1420, the interior design support device 100 may sort the plurality of interior design projections according to the total evaluation score and set at least one of the plurality of interior projection views as a recommended interior projection. For example, if the total evaluation score of the interior projection (1210) is 48.5 points, the total evaluation score of the interior projection (1220) is 45 points, and the total evaluation score of the interior projection (1230) is 46 points, the interior projection (1230) is 46 points. 1210) can be set as the recommended interior expected value.

In step S1430, the interior design support device 100 detects the free space of the target space from the recommended interior prediction map. The free space of the target space may be all or part of the remaining space excluding the placement space of the plurality of target virtual objects.

In step S1440, the interior design support device 100 searches for at least one additional virtual object that can be placed in the free space. For example, when a bed is the target virtual object, the space between the bed and the wall, between the bed and another object, or between the wall and the wall is selected from the database 120 among sample virtual objects whose frequency of being placed in the same space as the bed is more than a predetermined value. Additional virtual objects (e.g., sidetables) that can be placed can be determined.

The additional virtual object may have a different object name or object type from the target virtual object among all sample virtual objects. Additionally, the additional virtual object may be one whose reduction in the evaluation score for each evaluation item is less than the threshold when placed in the free space of the target space among all sample virtual objects.

In step S1450, the interior design support device 100 generates object recommendation information for at least one additional virtual object. Object recommendation information may include price, size, seller, site address, etc. for each additional virtual object. Object recommendation information may further include object type, size, placement location, placement angle, etc. for each additional virtual object. The user terminal 200 may display object recommendation information received from the interior design support device 100 on the screen.

The present invention is not limited to the specific embodiments and application examples described above, and various modifications can be made by those skilled in the art without departing from the gist of the invention as claimed in the claims. Of course, these modified implementations should not be understood separately from the technical idea or outlook of the present invention.

In particular, configurations that implement the technical features of the present invention included in the block diagram and flow chart shown in the drawings attached to this specification represent logical boundaries between the configurations. However, according to an embodiment of the software or hardware, the depicted configurations and their functions are executed in the form of stand-alone software modules, monolithic software structures, codes, services, and combinations thereof, and can execute stored program code, instructions, etc. Since the functions can be implemented by being stored in a medium executable on a computer equipped with a processor, all of these embodiments should also be regarded as falling within the scope of the present invention.

Accordingly, although the attached drawings and their descriptions illustrate the technical features of the present invention, they should not be simply inferred unless a specific arrangement of software for implementing these technical features is clearly stated. In other words, various embodiments described above may exist, and since such embodiments may be partially modified while retaining the same technical features as the present invention, these should also be regarded as falling within the scope of the present invention.

In addition, in the case of a flowchart, operations are depicted in the drawing in a specific order, but this is shown to obtain the most desirable results, and such operations must be executed in the specific order or sequential order shown, or all illustrated operations must be executed. It should not be understood as something that must be done. In certain cases, multitasking and parallel processing may be advantageous. Additionally, the separation of the various system components of the embodiments described above should not be construed as requiring such separation in all embodiments, and the program components and systems described are generally integrated together into a single software product or integrated into multiple software products. It should be understood that it can be packaged.

10: Interior service provision system
100: Interior design support device
200: user terminal
300: Housing information server
400: Object information server

Claims (10)

In an interior design support method executed by an interior design support device,
Obtaining a two-dimensional floor plan of the target house;
Analyzing the two-dimensional floor plan and generating a three-dimensional house model divided into a plurality of three-dimensional room spaces corresponding one-to-one to the plurality of two-dimensional room areas of the target house shown in the two-dimensional floor plan;
setting a target space among the plurality of three-dimensional room spaces;
A step of setting a plurality of target virtual objects to be placed in the target space, wherein each target virtual object is a three-dimensional model mapped to one object type among furniture, home appliances, props, lighting, curtains, partitions, wallpaper, and flooring. ; and
generating a plurality of interior projections representing an interior appearance in which the plurality of target virtual objects are arranged in the target space;
Including, interior design support methods.
According to paragraph 1,
The step of setting the plurality of target virtual objects is,
acquiring spatial characteristics of the target space;
calculating similarity between spatial features (attributes) of each of a plurality of pre-stored reference room spaces and the spatial features of the target space;
determining a plurality of recommended virtual objects mapped to each reference room space among the plurality of reference room spaces where the similarity is greater than or equal to a threshold; and
Setting each recommended virtual object selected by a user among the plurality of recommended virtual objects as the target virtual object;
Including,
The spatial characteristics are,
A method of supporting interior design, including at least two of room type, room size, room shape, wall location, wall size, door location, door size, window location, and window size.
According to paragraph 1,
Receiving household member information indicating the number of household members living or scheduled to reside in the target house and personal details for each household member;
It further includes,
The above personal details are:
An interior design support method comprising at least two of gender, age, occupation, physical characteristics, living patterns, use of the target space, desired use for the target space, and desired interior style for the target space.
According to paragraph 3,
The step of setting the plurality of target virtual objects is,
acquiring spatial characteristics of the target space;
Calculating a placement required score for each of a plurality of pre-stored sample virtual objects for the target space based on the spatial characteristics of the target space and the household member information;
Sorting the plurality of sample virtual objects based on the placement required scores to determine a plurality of recommended virtual objects; and
Setting each recommended virtual object selected by a user among the plurality of recommended virtual objects as the target virtual object;
Including, interior design support methods.
According to paragraph 3,
The step of generating the plurality of interior projections is,
determining a placement order of each of the plurality of target virtual objects based on the household member information; and
An object placement process of determining the placement position of each of the plurality of target virtual objects with respect to the target space so that the placement position of at least one of the plurality of target virtual objects is different, according to predefined placement rules for each object and the placement priority. repeating to generate the plurality of interior projections;
Including, interior design support methods.
According to clause 5,
Obtaining house description information including at least one of first house description data, second house description data, and third house description data of the target house;
Including more,
The first house description data indicates at least one of the direction and altitude of the target house,
The second house description data represents at least one of the location, size, and height of surrounding buildings adjacent to the target house,
The third house description data indicates at least one of the location of a road adjacent to the target house and the volume of vehicle traffic.
According to clause 6,
Reflecting the housing information on spatial characteristics of the target space to generate external environment information including at least one of sunlight information and noise information of the target space;
It further includes,
The step of determining the placement ranking of each of the plurality of target virtual objects is further based on the external environment information.
According to paragraph 1,
calculating a plurality of total evaluation scores for each of the plurality of interior predictions using a plurality of predefined evaluation items; and
Sorting the plurality of interior projections according to the total evaluation score and setting at least one of the plurality of interior projections as a recommended interior projection;
Further including, interior design support method.
According to clause 8,
detecting free space of the target space from the recommended interior prediction map;
searching for at least one additional virtual object that can be placed in the free space; and
generating object recommendation information for the at least one additional virtual object;
Further including, interior design support method.
In the interior design support device,
a communications department that obtains a two-dimensional floor plan of the target house; and
a processor that analyzes the two-dimensional floor plan and generates a three-dimensional house model divided into a plurality of three-dimensional room spaces corresponding one-to-one to the plurality of two-dimensional room areas of the target house shown in the two-dimensional floor plan;
Including,
The processor,
Setting a target space among the plurality of three-dimensional room spaces,
Set a plurality of target virtual objects to be placed in the target space, where each target virtual object is a three-dimensional model mapped to one object type among furniture, home appliances, props, lighting, curtains, partitions, wallpaper, and flooring,
An interior design support device that generates a plurality of interior prediction maps showing an interior appearance in which the plurality of target virtual objects are arranged in the target space.

Images