Derivation system, derivation method, derivation device, and derivation program

Abstract

To provide a derivation system, a derivation method, a derivation device, and a derivation program which can derive states of faces in a building on the basis of a room layout in the building.SOLUTION: The derivation system acquires room layout information representing a room layout in a building (steps S1 and S4), refers to a model in which the room layout, light, and states of faces in the building are stored in association with each other to derive states of the faces in the building to be visually recognized under light on the basis of the acquired room layout information (step S5), and further refers to a database in which the states of the faces in the building and finishing methods are stored in association with each other to derive finishing methods of the faces in the building on the basis of the derived states of the faces in the building (step S6).SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present application discloses a derivation system, a derivation method, an acquisition device, and a computer program for deriving a state related to a building. [Background technology]

[0002] In the interior design of buildings, finishing materials such as wallpaper, flooring, and decorative panels are applied to the underlying surfaces, such as walls, floors, and ceilings, to improve design and functionality (see, for example, Patent Document 1). Applying finishing materials can also hide unevenness, joints, and other irregularities in the underlying surfaces. However, selecting finishing materials such as wallpaper, flooring, and decorative panels to hide the irregularities of the underlying surfaces, such as walls, floors, and ceilings, is not easy. Generally, when selecting wallpaper, the construction company's staff and the client discuss the matter, placing emphasis on factors such as price and design. However, if the selected finishing material does not match the underlying surfaces, the irregularities may become apparent after construction, necessitating additional work, such as re-application. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-033781 Summary of the Invention [Problem to be solved by the invention]

[0004] One factor that can lead to mistakes in the selection of finishing materials is that, depending on the way light hits the surface, such as from oblique sunlight or lighting, unevenness that was not noticeable during construction can become apparent.

[0005] The present application has been made in light of the above circumstances, and its main purpose is to disclose a derivation system and method for deriving the state of surfaces inside a building, taking into account the layout of the building and the relationship with light.

[0006] Another object of the present application is to provide a derivation device for use in the derivation system disclosed in the present application.

[0007] Furthermore, a further object of the present application is to provide a derivation program for realizing the derivation device disclosed in the present application. [Means for solving the problem]

[0008] In order to solve the above problems, the derivation system disclosed in the present application is a derivation system that uses a derivation device that derives the state of surfaces inside a building, and is characterized in that it includes an acquisition means that acquires floor plan information that indicates the floor plan of the building, and a model that associates and stores the floor plan, light, and the state of surfaces inside the building, and the derivation device includes a state derivation means that references the model based on the floor plan information acquired by the acquisition means, and derives the state of surfaces inside the building that are visible when light is irradiated.

[0009] The derivation system further comprises a database that stores the state of the interior surfaces of the building in association with finishing methods, and a finishing derivation means that refers to the database and derives a finishing method for the interior surfaces of the building based on the state of the interior surfaces of the building derived by the state derivation means.

[0010] In addition, in the derivation system, the interior surfaces of the building include at least one of wall surfaces, floor surfaces, and ceiling surfaces, and the finishing method includes at least one element of a finishing material covering the surfaces, a finishing craftsman, and the number of days for finishing.

[0011] In addition, in the derivation system, the surface inside the building is a wall surface, the condition of the surface inside the building is the unevenness of the wall surface, and the finishing method is characterized by including a process of selecting wallpaper to cover the surface based on a plurality of classified grades.

[0012] In the derivation system, the acquisition means acquires the floor plan information as image information by capturing an image of a floor plan showing the floor plan using an imaging unit that captures an image of an object.

[0013] Furthermore, the derivation method disclosed in the present application is a derivation method using a derivation device that derives the state of surfaces inside a building, and is characterized in that it acquires floor plan information that indicates the layout of the building, references a model that stores the floor plan and light in association with the state of surfaces inside the building, and derives the state of surfaces inside the building that are visible when light is irradiated, based on the acquired floor plan information.

[0014] Furthermore, the acquisition device disclosed in the present application is characterized by comprising a means for acquiring floor plan information indicating the floor plan of a building, a means for accessing a model that stores the floor plan, light, and the state of surfaces inside the building in association with each other, and a means for referencing the model based on the floor plan information and deriving the state of surfaces inside the building that are visible when light is irradiated.

[0015] Furthermore, the derivation program disclosed in the present application is characterized in that it causes a computer to execute a step of accessing a model that stores a correlation between floor plan and light and the state of surfaces inside a building, and referring to the model based on floor plan information that indicates the floor plan of the building, to derive the state of surfaces inside the building that are visible when light is irradiated. [Effects of the Invention]

[0016] The derivation system disclosed herein derives the state of the interior surfaces of a building as seen when illuminated with light, based on the acquired floor plan information. This allows the derivation system disclosed herein to achieve excellent effects, such as being able to derive the state of the interior surfaces of a building taking into account the lighting conditions. [Brief explanation of the drawings]

[0017] [Figure 1] 1 is an explanatory diagram conceptually illustrating an example of a system configuration of a derivation system disclosed in the present application. [Figure 2] FIG. 2 is a block diagram showing an example configuration of various devices used in the derivation system disclosed in the present application. [Figure 3] FIG. 2 is a block diagram showing an example configuration of various devices used in the derivation system disclosed in the present application. [Figure 4] 10 is a flowchart illustrating an example of a derivation process of a derivation device and an acquisition device included in the derivation system disclosed in the present application. [Figure 5] 10 is an explanatory diagram showing an example of an image displayed on a display unit of an acquisition device included in the derivation system disclosed in the present application. FIG. [Figure 6] 10 is an explanatory diagram showing an example of an image displayed on a display unit of an acquisition device included in the derivation system disclosed in the present application. FIG. DETAILED DESCRIPTION OF THE INVENTION

[0018] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following describes in detail preferred embodiments of the present invention. Note that the following preferred embodiments are merely examples of the present invention and are not intended to limit the technical scope of the present invention.

[0019] <Application example> The derivation system disclosed herein derives the condition of interior surfaces of a building, such as floors, walls, and ceilings, including unevenness, joints, and other irregularities. The derivation system disclosed herein is used to select finishing methods for covering surfaces, such as flooring, wallpaper, decorative panels, and finishing craftsmen, as well as selecting finishing techniques for the underlying surfaces of floors, walls, and ceilings. Hereinafter, a derivation system using the derivation device 1 shown in the drawings will be described with reference to the drawings.

[0020] <System configuration> FIG. 1 is an explanatory diagram conceptually illustrating an example of a system configuration of a derivation system disclosed herein. The derivation system disclosed herein is realized using a derivation device 1 and various devices capable of communicating with the derivation device 1, such as an inference device 2, a storage device 3, and an acquisition device 4. The derivation device 1 is a device using a computer such as a server computer, and is connected to a communication network NW such as a local area network (LAN), a wide area network (WAN), a dedicated communication network, or the Internet. The inference device 2 is a device using a computer such as an inference server computer, and is communicatively connected to the communication network NW. The storage device 3 is a device using a computer such as a database server computer, and is communicatively connected to the communication network NW. The acquisition device 4 is a device used by users such as employees of a construction-related business entity or clients considering building designs. The acquisition device 4 is a device using a computer such as a personal computer, a tablet computer, or a high-function mobile phone (so-called smartphone), and is capable of communicating via the communication network NW. The derivation system disclosed in the present application illustrated in FIG. 1 shows an example of implementation as a system in which an acquisition device 4 captures an image of a floor plan showing the layout of a building, and uses AI (Artificial Intelligence) using a learning model to display wallpaper candidates suitable for the wall surface.

[0021] <Device hardware configuration> Next, the configuration of various devices used in the derivation system disclosed herein will be described. Fig. 2 is a block diagram showing an example configuration of various devices used in the derivation system disclosed herein. Fig. 2 mainly shows an example configuration of a derivation device 1, an inference device 2, and a storage device 3. The derivation device 1 has various components such as a control unit 10, a storage unit 11, a communication unit 12, etc.

[0022] The control unit 10 is a processor such as a CPU (Central Processing Unit) that executes processes for controlling the entire device, and includes various circuits such as an information processing circuit, a clock circuit, and a register circuit.

[0023] The storage unit 11 is a storage unit configured using nonvolatile memories such as a hard disk, an SSD (Solid State Drive), a RAID (Redundant Array of Inexpensive Disks), and a flash memory, and volatile memories such as various RAMs (Random Access Memories). The storage unit 11 stores computer programs such as a basic program (OS: Operating System) and application programs that run on the basic program. The storage unit 11 stores a derivation program 110 for realizing the derivation device 1 as one of the application programs.

[0024] The communication unit 12 is a communication unit such as a LAN port, and is connected to the communication network NW via a communication device such as a router or a gateway, and is capable of communicating with various devices via the communication network NW.

[0025] A computer such as a server computer configured as described above operates as a derivation device 1 by reading programs such as the derivation program 110 stored in the memory unit 11 under the control of the control unit 10 and executing various steps included in the various programs.

[0026] The inference device 2 includes various components such as a control unit 20, a memory unit 21, and a communication unit 22. The memory unit 21 of the inference device 2 stores various programs and data, such as a trained model 210, an inference API (Application Programming Interface) for using the trained model 210, and various libraries for inference. The trained model 210 is a model obtained by a learning method such as supervised learning, and stores information such as various parameters that associate the layout and light of a building with the state of surfaces inside the building. The trained model 210 is generated, for example, by forming irregularities on a surface material to simulate unevenness, irradiating it with light of various wavelengths from various directions, and learning the visual states from various directions. Furthermore, the trained model 210 is generated, for example, by irradiating various lights, such as natural light and artificial light, from various directions onto surfaces such as the walls, floors, and ceilings of a building such as a model house, an experimental house, or an actual building, and learning the visual states from various angles. The surface state, which is the objective variable, is treated as a level classified into multiple stages.

[0027] The storage device 3 includes various components such as a control unit 30, a storage unit 31, and a communication unit 32. The storage unit 31 of the storage device 3 stores a database 310 that stores various data such as buildings and finishing methods. The finishing method includes elements such as the finishing material covering the surface, the finisher who performs the finishing work using the finishing material, and the number of days required for the finisher to complete the finishing work. The finishing materials included in the finishing method are stored as finishing material information indicating the finishing materials covering the surface, such as wallpaper covering the wall, flooring materials covering the floor, and decorative panels covering the ceiling, classified into multiple levels. The finishing materials indicated in the finishing material information are classified into classes corresponding to the level of surface unevenness. Specifically, the class that can hide the unevenness at each level is the applicable class. For example, for a surface with large unevenness, a finishing material made of a thick material is classified as the applicable class. The finishing craftsmen included in the finishing method are stored as craftsman information indicating the craftsmen classified according to their skills in finishing work. The number of days for finishing included in the finishing method indicates the relationship between the unevenness level of the surface and the finishing craftsman, and is stored as information on the number of days required when a craftsman of a certain rank performs finishing work on a surface with a certain unevenness level.

[0028] The derivation device 1 can access the inference device 2 and the storage device 3 and use the trained model 210 of the inference device 2 and the database 310 of the storage device 3.

[0029] Fig. 3 is a block diagram showing an example of the configuration of various devices used in the derivation system disclosed herein. Fig. 3 mainly shows an example of the configuration of an acquisition device 4. Fig. 3 illustrates the configuration of an acquisition device 4 using a computer such as a tablet computer. The acquisition device 4 includes various components such as a control unit 40, a storage unit 41, a display unit 42, an operation unit 43, an imaging unit 44, a position acquisition unit 45, a direction acquisition unit 46, and a communication unit 47. The control unit 40 is a processor. The storage unit 41 is a storage unit that stores information such as various programs and data.

[0030] The display unit 42 is an output interface for displaying images such as a liquid crystal monitor. The operation unit 43 is an input interface for receiving operational inputs from a touch panel, keyboard, etc. The display unit 42 and operation unit 43 can also be configured as an integrated liquid crystal touch panel by superimposing an liquid crystal monitor and a touch panel. The imaging unit 44 is an input interface used for inputting light from a camera or the like that uses an imaging element, and generates image information such as still images and videos by capturing images.

[0031] The position acquisition unit 45 is a position sensor that has an antenna for communicating with artificial satellites such as GNSS (Global Navigation Satellite System) satellites, and acquires and processes position information indicating the position of the acquisition device 4 based on communication with the GNSS satellites. The direction acquisition unit 46 is a direction sensor that uses sensors such as an acceleration sensor, a gyro sensor, and a magnetic sensor to detect the direction in which the acquisition device 4 is heading, for example, the elevation angle and direction in which the image is captured by the imaging unit 44. The communication unit 47 is a communication unit such as an antenna and accessory devices, and is connected to the communication network NW via a wireless communication network.

[0032] <Device software processing> Next, the processing of various devices used in the derivation system disclosed herein will be described. FIG. 4 is a flowchart showing an example of the derivation processing of the derivation device 1 and the acquisition device 4 included in the derivation system disclosed herein. A user operates the acquisition device 4 to acquire the floor plan of a building. For example, in the case of the tablet computer illustrated in FIG. 3, the user performs an operation to capture an image of a floor plan showing the floor plan of the target building. The floor plan includes information from which the direction, the position and size of doors and windows, the type and installation position of lighting, the type and irradiation direction of lighting, and the situation of surrounding buildings can be inferred, in addition to the floor plan showing the positions of surfaces such as walls. Upon receiving the operation, the acquisition device 4 executes the derivation processing under the control of the control unit 40.

[0033] The control unit 40 of the acquisition device 4 captures an image of a floor plan showing the floor plan using the imaging unit 44 (step S1), generates image information such as a still image based on the captured image, and acquires the floor plan information as image information (step S2). The floor plan information acquired in step S2 may be image information such as a still image or video captured by capturing an image of the interior of an actual building. When using image information captured from the interior of an actual building, the acquisition device 4 generates the floor plan information by adding information such as the image capture date and time, the position acquired by the position acquisition unit 45, and the direction acquired by the direction acquisition unit 46 to the image information. When the acquisition device 4 is configured using a desktop personal computer, the acquisition of the floor plan information may be a process such as reading an image using a reading device such as a scanner, or reading the floor plan information from another device or a storage medium such as a semiconductor memory. Furthermore, when floor plan information is read from another device or a storage medium, the floor plan information is not limited to image information, and may be any information capable of reproducing the floor plan, such as CAD data or data for a 3D printer.

[0034] The control unit 40 of the acquisition device 4 transmits the acquired floor plan information to the derivation device 1 via the communication network NW through the communication unit 47 (step S3).

[0035] The derivation device 1 executes the derivation process exemplified below by reading various programs such as the derivation program 110 stored in the storage unit 11 and executing steps included in the various programs under the control of the control unit 10. The control unit 10 of the derivation device 1 acquires the floor plan information by receiving the floor plan information transmitted from the acquisition device 4 via the communication unit 12 (step S4).

[0036] The control unit 10 accesses the inference device 2 and, based on the acquired floor plan information, derives the state of the interior surfaces of the building as seen when light is irradiated, with reference to the trained model 210 (step S5). The derivation of the surface state in step S5 is a process of deriving the state of the interior surfaces of the building, such as the walls, floors, and ceilings, from the floor plan information through AI processing with reference to the trained model 210. The surface state is derived as a level obtained by classifying the unevenness of the surface into multiple stages. Note that the visible state changes depending on the season and time when natural light is irradiated from outside, and changes depending on the type of light irradiated from which lighting when artificial light is irradiated. The visible state also changes depending on the viewing direction. Therefore, in step S5, the derivation device 1 derives the surface state according to the situation in which the unevenness is most clearly visible.

[0037] The control unit 10 accesses the storage device 3 and, based on the derived surface condition of the building interior, references the database 310 to derive a finishing method for the building interior surfaces (step S6). The finishing method derivation in step S6 derives a finishing material of a grade capable of concealing unevenness according to the surface condition level derived in step S5. Furthermore, a finisher of a grade corresponding to the level and the number of days required for the finishing work by that craftsman are derived. The derived finishing method is derived as a list of applicable finishing materials and craftsmen. For example, for a surface with small unevenness (level 1), a thin finishing material with low concealing properties (grade 1 or higher) is selected from among the multiple graded finishing materials. For a surface with large unevenness (level 3), a finishing material with high concealing properties (grade 3 or higher) is selected. Furthermore, the greater the unevenness or the lower the concealing property of the finishing material selected, the higher the grade of the craftsman required. Furthermore, once the wall level, the grade of the finishing material, and the grade of the craftsman are determined, the number of days is derived based on their relationship. The finishing method may be derived as a selection list combined with the surface condition, or, for example, selection options for finishing materials and selection options for craftsmen may be output in sequence, and the next finishing method may be derived and presented depending on the selection.

[0038] The control unit 10 transmits the condition information indicating the surface condition derived in step S5, and the finishing information such as finishing material information indicating the finishing material, craftsman information indicating the finishing craftsman, and number of days indicating the number of days for finishing derived in step S6 from the communication unit 12 to the acquisition device 4 via the communication network NW (step S7).

[0039] The control unit 40 of the acquisition device 4 receives the condition information and finish information via the communication unit 47 (step S8) and displays the received condition information and finish information on the display unit 42 (step S9). The display of the condition information and finish information in step S9 visually associates the interior surfaces of the building, the surface condition, and the finish information. The surface condition and finish information may be displayed as a list associated with information indicating the interior surfaces of the building, or may be displayed associated with floor plan information for intuitive visual recognition. Furthermore, when displaying the finish information, the user may input to select the surface and finishing material, and the acquisition device 4, upon receiving the input, may determine whether the selected finishing material is suitable for the selected surface. If the finishing material is suitable, a list of other finishing information, such as craftsman information and number of days, may be displayed.

[0040] 5 and 6 are explanatory diagrams showing examples of images displayed on the display unit 42 of the acquisition device 4 included in the derivation system disclosed herein. FIG. 5 is an image showing floor plan information acquired by the acquisition device 4, and FIG. 6 is an image showing a state in which surface condition and finish information are superimposed on the floor plan. The acquisition device 4 displays the image shown in FIG. 5 by acquiring the floor plan information. FIG. 6 shows an image in a state in which the user performs an operation to specify surfaces such as walls, floors, and ceilings shown in the floor plan from the state shown in FIG. 5. As shown in FIG. 6, when the user performs an operation to specify a specific surface, the surface condition based on the condition information corresponding to the specified surface and a list of finishing materials such as wallpaper based on the finishing information are displayed. Furthermore, when the user performs an operation to specify a finishing material from the list of finishing materials, a list of craftsmen corresponding to the grade of the specified finishing material is displayed. Furthermore, when the user performs an operation to specify a craftsman from the list of craftsmen, the number of required work days is displayed. When displaying finishing material information, craftsman information, and number of days information as finishing information, the acquisition device 4 displays various pieces of information based on the selection list received from the derivation device 1, but it may also access the derivation device 1 and display information each time it receives a designation from the user. Also, when the user is the client, the acquisition device 4 may display only the finishing information without displaying the surface condition.

[0041] In this manner, the derivation device 1 and the acquisition device 4 included in the derivation system disclosed in the present application execute the derivation process.

[0042] As described above, the derivation system disclosed herein derives the state of unevenness, etc., of surfaces such as walls, floors, and ceilings that are visually recognized when illuminated with light, based on the floor plan of a building. The state is derived using a model such as a trained model 210 that has been generated in advance using a learning method such as supervised learning based on the results of experiments and measurements. Furthermore, the derivation system derives finishing information, such as finishing materials, selected from multiple finishing materials such as wallpaper, flooring, and decorative panels, depending on the state of the surfaces. This allows the derivation system disclosed herein to present the state of building surfaces based on the floor plan of the building, and further provides excellent effects such as presenting finishing information, such as finishing materials, appropriate for each surface.

[0043] Furthermore, the derivation system disclosed herein can also present information on the finishing method, such as the finisher and the number of work days. Moreover, the derivation system disclosed herein has the excellent effect of providing a user interface that allows the user to intuitively grasp the condition by displaying the surface condition and finishing information superimposed on the floor plan.

[0044] The present invention is not limited to the above-described embodiments, but can be embodied in various other forms. Therefore, these embodiments are merely illustrative in all respects and should not be interpreted as limiting. The scope of the present invention is defined by the claims and is not limited in any way by the text of the specification. Furthermore, all modifications and variations that fall within the equivalent range of the claims are within the scope of the present invention.

[0045] For example, in the above embodiment, a derivation system using the derivation device 1, the inference device 2, the storage device 3, and the acquisition device 4 is exemplified, but the derivation system disclosed in the present application is not limited to this and various system configurations are possible. For example, the derivation system disclosed in the present application can be realized in various configurations, such as configuring the acquisition device 4 and the derivation device 1 in a single device, and further adding some or all of the functions of the inference device 2 and the storage device 3 to that device. Furthermore, for example, the derivation system disclosed in the present application can also be configured with multiple devices linked to the acquisition device 4.

[0046] Furthermore, for example, while the above embodiment shows a form in which inference is performed using AI, the derivation system disclosed herein is not limited to this and can be implemented in various forms as long as a model that associates and stores the floor plan, light, and the state of surfaces inside the building is used. For example, the derivation system disclosed herein can be implemented in various forms, such as by using a model based on the results of multivariate analysis in which information on the floor plan and light, which are explanatory variables, is quantified and used as explanatory variables, and the state of surfaces is quantified and used as a target variable. [Explanation of symbols]

[0047] 1 Derivation device 10 Control Unit 11 Storage section 110 Derivation Program 12 Communications Department 2 Reasoning device 20 Control Unit 21 Memory section 210 trained models 22 Communications Department 3 Storage device 30 Control Unit 31 Storage section 310 Database 32 Communications Department 4 Acquisition device 40 Control Unit 41 Storage section 42 Display section 43 Operation section 44 Imaging unit 45. Location Acquisition Department 46 Directional Acquisition Department 47 Ministry of Communications NW Communications Network

Claims

1. A derivation system using a derivation device that derives the state of a surface inside a building, an acquisition means for acquiring floor plan information indicating the floor plan of a building; A model that associates and stores the floor plan, lighting, and the state of the interior surfaces of the building. Equipped with The delivery device is and a state deriving means for deriving the state of the interior surface of the building that is visible when illuminated with light, based on the floor plan information acquired by the acquiring means, by referring to the model. A derivation system characterized by:

2. 2. The derivation system of claim 1, The system further includes a database storing the state of the interior surface of the building in association with the finishing method; and a finish deriving means for deriving a finishing method for the surface inside the building by referring to the database based on the state of the surface inside the building derived by the state deriving means. A derivation system characterized by:

3. 3. The derivation system of claim 2, the surface inside the building includes at least one of a wall surface, a floor surface, and a ceiling surface; The finishing method includes at least one element of a finishing material covering a surface, a finishing technician, and a number of days for finishing. A derivation system characterized by:

4. 3. The derivation system of claim 2, the surface inside the building is a wall surface, The condition of the interior surface of the building is unevenness of the wall surface, The finishing method includes a process of selecting wallpaper to cover a surface based on a plurality of grades. A derivation system characterized by:

5. A derivation system according to any one of claims 1 to 4, The acquisition means The imaging unit captures an image of the target, capturing a floor plan showing the floor plan, thereby obtaining floor plan information as image information. A derivation system characterized by:

6. A derivation method using a derivation device that derives the state of a surface inside a building, comprising: Obtain floor plan information showing the layout of the building, The system references a model that associates the floor plan, light, and the state of the interior surfaces of the building, and derives the state of the interior surfaces of the building that can be seen when illuminated with light, based on the acquired floor plan information. A derivation method characterized by:

7. A means for acquiring floor plan information indicating the floor plan of a building; A means for accessing a model that associates floor plans and light with the state of surfaces inside the building and stores the model; a means for deriving the state of the interior surface of the building as viewed when illuminated by light, based on floor plan information and referring to the model; A derivation device comprising:

8. On the computer, Access a model that associates and stores the layout and lighting with the state of the interior surfaces of the building, and executing a step of deriving the state of the interior surface of the building that is visible when illuminated with light by referring to the model based on floor plan information that indicates the floor plan of the building. A derivation program characterized by:

Images