JP7555372B2 - Wood grain pattern building material design support system and wood grain pattern building material design support program - Google Patents

Description

This disclosure relates to a wood grain pattern building material design support system and a wood grain pattern building material design support program for supporting the design of wood grain pattern building materials using molding materials with wood grain patterns.

In recent years, even among people living in cities, there has been a growing tendency to seek an environment closer to nature (a trend toward returning to nature). Accordingly, in residential building materials, natural building materials with wood or wood-grain patterned moldings are preferred over building materials with a strong artificial feel such as steel frames, concrete, mortar, etc. Wood-grain patterned moldings are formed by attaching a wood-grain patterned sheet to a metal substrate such as aluminum. Even in buildings using such wood-grain patterned moldings, designs in which the shape and color of the wood grain varies from place to place, allowing for a sense of natural and rich variations in the wood grain, are preferred over designs with uniform wood grain. For this reason, building material manufacturers are being asked to provide wood-grain patterned building materials with such natural and rich variations in the wood grain at reasonable prices.

In the manufacture of building materials, multiple pieces of wood-grain patterned material of different types are often arranged to construct large building materials (for example, multiple pieces of wood-grain patterned material are arranged vertically to construct a fence), but when attempting to construct building materials using multiple pieces of wood-grain patterned material of different types, it is difficult to properly arrange the wood-grain patterned material of different types of wood, and in some cases the arrangement may give an unnatural impression, resulting in a structure that looks unnatural and unattractive.

Japanese Patent Application Publication No. 10-151721

This disclosure provides a wood grain pattern building material design support system and a wood grain pattern building material design support program that facilitates the design of wood grain pattern building materials that have natural and rich variations in wood grain when manufacturing wood grain pattern building materials that combine wood grain pattern shaped materials.

To solve the above problems, the wood grain pattern building material design support system according to the present disclosure includes an arrangement/evaluation data storage unit that stores arrangement/evaluation data that corresponds arrangement data regarding the arrangement of wood grain pattern mold materials having multiple types of wood grain patterns with evaluation data that is an evaluation of the arrangement, a learned data storage unit that stores learned data regarding the arrangement of the wood grain pattern mold materials generated according to the arrangement/evaluation data, a wood grain judgment unit that judges the grain of the wood grain pattern mold materials, and a mold material arrangement determination unit that indicates the arrangement of the wood grain pattern mold materials according to the judgment result of the wood grain judgment unit and the learned data.

According to one aspect of the present disclosure, it is possible to provide a wood grain pattern building material design support system and a wood grain pattern building material design support program that facilitate the design of wood grain pattern building materials that have natural and rich variations in wood grain when manufacturing wood grain pattern building materials that combine wood grain pattern shaped materials.

1 is a schematic diagram showing a configuration example of a wood grain pattern building material design support system 1 according to a first embodiment. FIG. FIG. 2 is a schematic diagram for explaining an example of a method for manufacturing a wood grain pattern section in a processing factory in which a processing factory computer 20 is installed. 13 is a schematic diagram for explaining a method of determining the arrangement of wood grain pattern mold materials in the mold material arrangement determining unit 128. FIG. 13 is a block diagram illustrating the operation of a wood grain determination unit 127 and a mold material arrangement determination unit 128. FIG. 13 is a flowchart illustrating an example of a procedure for generating a trained model in the learning unit 125. 11 is a flowchart illustrating an example of a procedure for determining the arrangement of wood grain pattern mold materials in the mold material arrangement determining unit 128. 10 is a schematic diagram for explaining a method of judgment by a wood grain judgment unit 127 for wood grain pattern material. FIG. 10 is a schematic diagram for explaining a method of judgment by a wood grain judgment unit 127 for wood grain pattern material. FIG. 13 is a schematic diagram illustrating the operation of the wood grain pattern building material design support system 1 according to the second embodiment. FIG. 13 is a schematic diagram illustrating the operation of the wood grain pattern building material design support system 1 according to the second embodiment. FIG.

The present embodiment will be described below with reference to the attached drawings. In the attached drawings, functionally identical elements may be indicated by the same numbers. Note that the attached drawings show embodiments and implementation examples according to the principles of the present disclosure, but these are for understanding the present disclosure and are in no way used to interpret the present disclosure in a restrictive manner. The descriptions in this specification are merely typical examples and do not limit the scope or application examples of the present disclosure in any sense.

In this embodiment, the disclosure is described in sufficient detail for a person skilled in the art to implement the disclosure, but it should be understood that other implementations and forms are possible, and that changes to the configuration and structure and substitutions of various elements are possible without departing from the scope and spirit of the technical ideas of the disclosure. Therefore, the following description should not be interpreted as being limited to this.

[First embodiment]
FIG. 1 is a schematic diagram showing a configuration example of a wood grain pattern building material design support system 1 according to a first embodiment. This wood grain pattern building material design support system 1 is configured by connecting a design department computer 10 installed in a design department in charge of designing wood grain pattern building materials, and a processing factory computer 20 installed in a processing factory that manufactures wood grain pattern building materials and wood grain pattern building materials, via a network N. This system is configured to generate and store a trained model generated by learning the results of evaluating the design of the wood grain pattern building materials, and to determine the arrangement of the wood grain pattern mold materials according to the trained model and the judgment result of the grain of the wood grain pattern mold materials. The design department computer 10 includes a computer program for determining the arrangement of the mold materials. The design department and the processing factory may be organizations within the same company, or they may belong to different companies.

In the processing factory where the processing factory computer 20 is installed, as shown in FIG. 2, a large roll-shaped cutting sheet 202 printed with a wood grain pattern is cut to the size of a substrate 201 made of aluminum or the like, and then pasted on the substrate 201 to manufacture a large number of wood grain pattern mold materials. The processing factory computer 20 captures an image of the manufactured wood grain pattern mold material using a camera 30 or the like to obtain image data, and transmits the image data to the design department computer 10 via the network N. The design department computer 10 judges the wood grain contained in the transmitted image data, and determines the arrangement of the wood grain pattern mold material in the wood grain pattern building material based on the trained model and the judgment result of the wood grain. The result of the determination is transmitted from the design department computer 10 to the processing factory computer 20.

The design department computer 10 is, for example, a CPU (Central Processing Unit)
The system includes a CPU 101, a GPU (Graphics Processing Unit) 102, a ROM 103, a RAM 104, a hard disk drive (HDD) 105, a display control unit 106, an input/output control unit 107, and a communication control unit 108, and further includes a display 109, a keyboard 110, a mouse 111, etc. The CPU 101 is a central control device that controls the overall operation of the wood grain pattern building material design support system and the program. The GPU 102 is, as an example, a control device for generating training data, which will be described later, and for executing image processing of image data.

The ROM 103 is a storage device that stores various data required to execute the learned data generation program, the wood grain determination program, and the placement determination program. The RAM 104 is a storage device that temporarily stores the calculation results of the programs. The programs stored in the ROM 103 include a learning program for executing the learning process of the classifier. The hard disk drive 105 also stores a learned model constructed by the machine learning process. The various programs may be stored in a portable storage medium (e.g., a CD-ROM) 112 that is readable by the design department computer 10.

The display control unit 106 is a control unit that is responsible for display control when the execution screen of the above-mentioned program is displayed on the display 109. The input/output control unit 107 is a control unit that controls the input of data and commands from various input devices (keyboard 110, mouse 111, pen device, etc.) and the output of various data output from the CPU 101 or GPU 102. The communication control unit 108 is a control unit that manages data communication with an external computer.

The design department computer 10 has a software configuration realized by various software, including an arrangement/evaluation data storage unit 121, an evaluation data input unit 122, an interpolation data generation unit 123, a trained model storage unit 124, a learning unit 125, an image reception/image processing unit 126, a wood grain judgment unit 127, and a mold material arrangement determination unit 128.

The arrangement/evaluation data storage unit 121 is a storage unit that stores arrangement/evaluation data that corresponds arrangement data regarding the arrangement of multiple types of wood grain pattern mold materials and evaluation data resulting from having a designer or user evaluate the quality of the design of the arrangement (for example, a 10-point evaluation using numerical values). The arrangement/evaluation data can be stored, for example, in the RAM 104 or the HDD 105. As described later, a trained model is generated using this arrangement/evaluation data as teaching data. The evaluation data can be input from the evaluation data input unit 122 by a designer who has seen an arrangement of a certain wood grain pattern mold material using the keyboard 110 or the mouse 111. In the illustrated example, the evaluation data input unit 122 is provided in the design department computer 10, but instead, the evaluation data can be input from another external computer. The evaluation data can be input in the form of multiple items being input, for example, on a 10-point evaluation scale, or as a sentence. When the evaluation data is input in the form of a sentence, the learning unit 125 may include an analysis program for analyzing the sentence.

The interpolation data generating unit 123 generates data on the arrangement of a plurality of virtual wood grain pattern mold materials as interpolation data based on the arrangement data of a plurality of wood grain pattern mold materials. The design of the arrangement related to the generated interpolation data is treated as arrangement data (pseudo arrangement data) in the same manner as the arrangement data generated by actually arranging the wood grain pattern mold materials. In other words, the data on the arrangement of the virtual wood grain pattern mold materials related to the interpolation data is subject to evaluation of the design by the designer. The obtained data pair of the evaluation data and the corresponding interpolation data is stored in the arrangement/evaluation data storage unit 121. The interpolation data generated by the interpolation data generating unit 123 can reduce the number of times that the arrangement of the wood grain pattern mold materials is actually generated, and the burden on the designer can be reduced. Note that, when a sufficient amount (number of combinations) of arrangement/evaluation data has been generated, it is also possible to stop the generation of the interpolation data in the interpolation data generating unit 123.

The trained model storage unit 124 is a part that stores a trained model generated as a result of the learning unit 125 learning the appropriate arrangement of the wood grain pattern mold material according to the above-mentioned arrangement/evaluation data. The generated trained model is stored, for example, in the RAM 104 or the HDD 105. The learning unit 125 generates trained data by extracting features of the arrangement data of the wood grain pattern mold material and comparing the evaluation data assigned to the arrangement data with the extracted features.

The image receiving/image processing unit 126 receives an image of the wood grain pattern lumber from the processing plant computer 20 and performs predetermined image processing (binarization, edge detection, noise removal, etc.) for wood grain judgment in the wood grain judgment unit 127. The wood grain judgment unit 127 performs judgment on the shape, color, shade, etc. of the wood grain pattern after image processing in the image receiving/image processing unit 126, and judges which of a plurality of categories the wood grain of the wood grain pattern lumber belongs to. As a method of judging the wood grain pattern, for example, it is possible to judge whether it is "linear" or "curvilinear" and classify it into two categories, linear wood grain (category 1) and curvilinear wood grain (category 2). In addition to the shape of the wood grain, it is also possible to classify it into more categories by judging the color (brightness, hue, saturation) of the wood grain, for example. Note that the wood grain judgment unit 127 basically judges the wood grain automatically according to a predetermined algorithm based on the results of image processing, but it is also possible to input the results of visual inspection by an operator and judge the wood grain in a form that also includes the results of visual inspection. By having the operator visually supplement and judge wood grain that cannot be recognized by image processing, it becomes possible to perform more precise judgment of wood grain.

The mold material arrangement determination unit 128 determines in which of the predetermined arrangement patterns the wood grain pattern mold material will be arranged according to the grain judgment result of each wood grain pattern mold material by the wood grain judgment unit 127 and the learned model, and outputs the decision result. As the simplest example, when the wood grain judgment unit 127 judges and classifies whether the grain of the judgment target belongs to either linear grain (category 1) or curved grain (category 2), the mold material arrangement determination unit 128 assumes an arrangement pattern in which wood grain pattern mold material of pattern A and wood grain pattern mold material of pattern B are alternately repeated as the arrangement pattern of the wood grain pattern mold material, as shown in FIG. 3. The mold material arrangement determination unit 128 can determine in which pattern A or pattern B the wood grain pattern mold material to be judged will be arranged (see FIG. 4). For example, it can instruct to arrange the wood grain pattern mold material of linear grain (category 1) in the position of pattern A, and to arrange the wood grain pattern mold material of curved grain (category 2) in the position of pattern B. By specifying the arrangement in this way, for example, it is possible to avoid placing wood grain patterned components of the same type of wood next to each other, and as a result, the overall wood grain pattern of the wood grain pattern building material can have a natural and rich variation in the wood grain.

In the example shown in Fig. 3, the wood grain determination unit 127 determines which of two categories the material belongs to, and the mold material arrangement determination unit 128 assumes an arrangement pattern in which two types of patterns A and B are alternately repeated, but the present invention is not limited to this. For example, the arrangement pattern does not need to have patterns A and B alternate in all locations, and the same pattern may be repeated in some locations. Furthermore, the arrangement pattern is not limited to two types, and may be three or more types.

An example of the procedure for generating a trained model in the learning unit 125 will be described with reference to the flowchart in FIG. 5. First, a designer in the design department arranges multiple types of wood grain pattern moldings, either in real life or by simulation on a computer screen, and generates arrangement data by photographing or generating an image of the arrangement (step S11). The designer then evaluates the generated arrangement data and inputs the evaluation data, for example, from the evaluation data input unit 122 (step S12). The input evaluation data is associated with the arrangement data and stored in the arrangement/evaluation data storage unit 121 (step S13).

Next, interpolation data is generated as necessary (step S14), and evaluation data is also input to the array data corresponding to the interpolation data. The learning unit 125 then generates a trained model based on the array data (or interpolation data) and evaluation data generated in this way (step S15).

Next, an example of the procedure for determining the arrangement of wood grain pattern mold materials in the mold material arrangement determination unit 128 will be described with reference to the flowchart in FIG. 6. When wood grain pattern mold materials are manufactured in a processing factory, engineers at the processing factory take an image of the wood grain pattern mold material using a camera 30, assign a file number, compress the image, and send the image data to the design department computer 10 (step S21). The sent image data is expanded in the image reception/image processing unit 126, and then subjected to predetermined image processing before being transferred to the wood grain judgment unit 127. Note that the series of steps of photographing the wood grain pattern mold material, assigning a file number, and compressing the image may be automated, or only some of the steps may be automated.

After performing image recognition processing, the wood grain determination unit 127 performs a wood grain determination and determines which category the wood grain belongs to (step S22). The mold material arrangement determination unit 128 determines in which pattern (e.g., A or B) the wood grain pattern mold material should be arranged according to the determined wood grain, and returns the result of the determination to the processing plant computer 20 (step S23). The processing plant computer stores the returned mold material arrangement data in association with the image data of the mold material. This makes it possible to properly arrange wood grain pattern mold materials having multiple types of wood grain in the processing plant.

The method of judgment by the wood grain judgment unit 127 of the wood grain pattern material will be described with reference to FIG. 7. The wood grain judgment unit 127 sets multiple judgment areas Rd separated by a predetermined distance Ds in the longitudinal direction of the cutting sheet, i.e., in the direction in which the rolled cutting sheet is pulled out, and judges the properties of the wood grain in the judgment areas Rd. The cutting sheet has a periodically repeating pattern pattern, and it is preferable that the multiple judgment areas Rd are set in multiple places, for example, two or three places, in one repeat unit. However, the position and number of the judgment areas Rd can be changed depending on the relationship between the length period of the repeat unit and the length of the sheet to be cut out. For example, if the cut-out length is long compared to the repeat unit, the number of judgment areas Rd in one repeat unit decreases, and the interval between adjacent judgment areas Rd in the sheet shape increases. Conversely, if the cut-out length is short compared to the repeat unit, the number of judgment areas Rd in one repeat unit increases, and the interval between adjacent judgment areas Rd in the sheet shape decreases. The position and size of the judgment area Rd can be automatically determined by the wood grain judgment unit 127 according to initial settings, or can be changed as appropriate by an operator's instructions via the keyboard 110 or mouse 111. The example shown in FIG. 7 is an example of determining the AI judgment location before cutting out the cutting sheet, but as a modified example, the AI judgment may be performed after the cutting sheet is cut out and after or before it is attached to the mold material. In that case, it is possible to select one characteristic point on the sheet and make the judgment.

When manufacturing wood grain pattern molds by cutting a large cutting sheet 202 printed with a wood grain pattern to a size that matches the size of the substrate 201 and then pasting it on, as shown in Figure 2, the cutting sheet 202 has a wood grain pattern in which the same wood grain is repeated in a predetermined repeating period T (e.g., about 1000 to 1500 mm) in its longitudinal direction (roll direction). Therefore, when judging the wood grain of wood grain pattern molds, multiple judgment regions Rd are provided within one repeating period, and the shape of the wood grain is judged within the judgment regions, making it possible to accurately judge the wood grain of the wood grain pattern mold.

In the above explanation, the wood grain judgment unit 127 judges the wood grain of the wood grain pattern material after it has been cut to a specified length. However, this is not limited to this example. For example, as shown in FIG. 8, it is also possible to image the rolled cutting sheet 202 before it is cut to the length of the board 201 with the camera 30 at specified intervals, and set the judgment area Rd at the same intervals in the image data to perform wood grain judgment.

As described above, according to the wood grain pattern building material design support system of the first embodiment, a trained model for an appropriate arrangement of wood grain pattern mold materials is generated according to arrangement/evaluation data including arrangement data of the wood grain pattern mold materials and their evaluation data, and the grain of the wood grain pattern mold materials is determined and its arrangement is indicated according to the trained model and the presented image of the wood grain pattern mold materials. Therefore, according to the system of the first embodiment, wood grain pattern building materials including wood grain pattern mold materials with multiple types of wood grain patterns can be made to have a natural variation in shade and richness of wood grain, thereby enhancing the aesthetic appearance of the wood grain pattern building materials.

[Second embodiment]
Next, a wood grain pattern building material design support system according to a second embodiment will be described with reference to Figures 9 and 10. The wood grain pattern building material design support system according to the second embodiment has the same overall configuration as the first embodiment, and the basic operations (Figures 5 to 8) are also the same, so duplicated explanations will be omitted. In this second embodiment, the method of judgment in the wood grain judgment unit 127 and the method of determination in the mold material arrangement determination unit 128 are different from those in the first embodiment. Figure 9 is a schematic diagram illustrating the judgment and arrangement determination in the system of this second embodiment, and Figure 10 is a schematic diagram explaining the operations of the wood grain judgment unit 127 and the mold material arrangement determination unit 128.

In this second embodiment, the wood grain determination unit 127 separates the grain of the wood grain pattern mold material into four types: "straight grain," "small knots," "large knots," and "cross grain," and determines which type the presented wood grain pattern mold material belongs to. The mold material arrangement determination unit 128 then generates repeating patterns of patterns A to D, and instructs the arrangement of the wood grain pattern mold material so that "straight grain," "small knots," "large knots," and "cross grain" wood grain pattern mold materials are arranged in patterns A, B, C, and D, respectively (see FIG. 10).

In this way, in the system of the second embodiment, the wood grain determination unit 127 determines the specific type of wood grain of the wood grain pattern mold material, and the mold material arrangement determination unit 128 instructs this so that a natural and rich variation in wood grain can be obtained. The trained model generated based on the data in the arrangement/evaluation data storage unit 121 provides information on how to arrange wood grain pattern mold materials of multiple types of wood grain to obtain the most natural and rich variation in wood grain, and the mold material arrangement determination unit can determine the arrangement of the wood grain pattern mold material to be judged according to this trained model and the judgment result of the wood grain of the wood grain pattern mold material.

In the above example, the grain of the wood grain pattern lumber is judged to be one of four types, namely, "straight grain,""smallknot,""largeknot," and "cross grain," but it goes without saying that the present invention is not limited to this. For example, for straight grain, it is possible to further judge whether it is a so-called "straight grain from top to bottom." Furthermore, for cross grain, it is possible to further judge whether it is a so-called "wood surface" or "wood back." In addition, it is also possible to judge the color tone of the wood grain, the spacing of the wood grain, the strength of the wood grain, the tree species, and the like. It is also possible to instruct the arrangement of the wood grain pattern lumber by inverting it upside down.

[others]
The present invention is not limited to the above-mentioned embodiment, and various modifications are included. For example, the above-mentioned embodiment has been described in detail to easily explain the present invention, and is not necessarily limited to those having all the configurations described. In addition, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. In addition, it is possible to add, delete, or replace a part of the configuration of each embodiment with another configuration.

10...design department computer, 20...processing factory computer, N...network, 30...camera, 105...hard disk drive (HDD), 106...display control unit, 107...input/output control unit, 108...communications control unit, 109...display, 110...keyboard, 111...mouse, 112...storage medium, 121...arrangement/evaluation data storage unit, 122...evaluation data input unit, 123...interpolation data generation unit, 124...trained model storage unit, 125...learning unit, 126...image processing unit, 127...wood grain judgment unit, 128...mold material arrangement determination unit, 201...substrate, 202...cutting sheet, Rd...judgment area.

Claims (7)

an arrangement/evaluation data storage unit for storing arrangement/evaluation data in which arrangement data relating to an arrangement of wood grain pattern mold members having a plurality of types of wood grain patterns corresponds to evaluation data which is an evaluation of the arrangement;
A trained data storage unit that stores trained data regarding the arrangement of the wood grain pattern shape material generated according to the arrangement/evaluation data;
A grain determination unit for determining the grain of the wood grain pattern material;
and a mold arrangement determination unit that instructs the arrangement of the wood grain pattern mold materials according to the judgment result of the wood grain judgment unit and the learned data. The wood grain determination unit determines to which of a plurality of categories the wood grain pattern material belongs,
2. The wood grain pattern building material design support system according to claim 1, wherein the mold material arrangement determination unit instructs an arrangement of the wood grain pattern mold materials so that the wood grain pattern mold materials of the same category are not arranged adjacent to each other. The wood grain pattern building material design support system according to claim 1 or 2, wherein the wood grain determination unit determines the characteristics of the wood grain at a specific position of the wood grain pattern mold material and determines the wood grain of the wood grain pattern mold material. The wood grain determination unit determines to which of a plurality of categories the wood grain pattern material belongs,
2. The wood grain pattern building material design support system according to claim 1, wherein the molding arrangement determination unit generates an arrangement pattern in which the wood grain pattern molding materials of the plurality of categories are arranged alternately, and indicates in which of the arrangement patterns the wood grain pattern molding materials are to be arranged. The wood grain pattern building material design support system according to claim 1, further comprising a communication control unit that receives an image of the wood grain pattern mold material captured at a processing factory for wood grain pattern building materials including the wood grain pattern mold material, and transmits data regarding the instructions determined by the mold material arrangement determination unit. The wood grain pattern building material design support system according to claim 1, further comprising an evaluation data input unit for inputting the evaluation data. storing arrangement/evaluation data in which arrangement data relating to an arrangement of wood grain pattern mold members having a plurality of types of wood grain patterns corresponds to evaluation data which is an evaluation of the arrangement;
A step of storing learned data regarding the arrangement of the wood grain pattern shape material generated according to the arrangement/evaluation data;
determining the grain of the wood grain pattern material;
and a step of instructing an arrangement of the wood grain pattern material in accordance with the wood grain determination result and the learned data.

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