JP7676738B2 - Method for recording adjustment range, application method, and organic base adjustment coating material - Google Patents

Description

The present invention relates to a method for recording the adjustment range, an application method, and an organic base adjustment coating material.

For example, when tiling an exterior wall, construction records are created and kept. In addition, as construction records, the adjustment area (also called repair area) where a base adjustment coating material has been applied to the base concrete is recorded. Conventionally, workers would visually observe the adjustment area and make a hand-drawn sketch, or take a photograph of the adjustment area, and then record the position and area of the adjustment area based on the sketch or photograph.

JP 2014-134470 A

In conventional recording methods, the adjustment range was identified based on sketches and photographs, which not only placed a heavy workload on the worker but also led to a risk of low accuracy in the adjustment records.
In addition, Patent Document 1 describes that when recording the diagnosis result of the exterior wall tile, a wall image on which the diagnosis result information (e.g., a discrimination symbol written with chalk) by the worker is recorded is photographed, and the position of the diagnosis result information is recorded by analyzing the photographed wall image. However, for example, in the case of recording the adjustment range where a base adjustment coating material is applied to concrete, since the base concrete and the base adjustment coating material are usually the same color (gray), it is difficult to identify the adjustment range by image analysis, and there is a risk of the adjustment range being misrecognized.

The present invention aims to improve the accuracy of recording the adjustment range.

In order to achieve this object, the present invention provides a method for recording an adjustment range, which includes an application step of applying a member of a second color different from the first color to a base surface of a first color, an imaging step of imaging the base surface to which the member has been applied by an imaging device, and a recording step of identifying an area of the member from the image of the base surface captured by the imaging device and recording an adjustment range of the base surface by setting an area surrounded by the member as an adjustment range , wherein the first color is an achromatic color and the second color is a chromatic color, and in the recording step, the adjustment range is recorded by identifying an area of the chromatic color from the image of the base surface, and in the recording step, a recording step of recording an adjustment range, the method comprising: identifying the chromatic color areas by performing a binarization process based on saturation on the image of the base surface photographed by the photographing device; displaying an image of an elevation view of the base surface on a display device in the recording step; allocating the image of the base surface photographed by the photographing device onto the image of the elevation view; and recording a record diagram in which the image of the adjustment range is allocated onto the image of the elevation view; calculating an area of the adjustment range in the recording step; the member is a tape on which a scale is formed; and calculating the area of the adjustment range in the recording step based on the spacing of the scale in the image of the base surface.

The present invention can improve the accuracy of recording the adjustment range.

FIG. 1 is a flow diagram of a construction method for tiling an exterior wall using an organic surface treatment coating material according to the first embodiment. Fig. 2A is an explanatory diagram of the state in which the organic base preparation coating material of the first embodiment is applied to the base. Fig. 2B is an explanatory diagram of the state in which the organic base preparation coating material of the comparative example is applied to the base. Fig. 2C is an explanatory diagram of the binarized image of the wall surface of Fig. 2A. FIG. 3 is an explanatory diagram of how the wall surface 3 is photographed. FIG. 4 is an explanatory diagram of the hardware configuration of the adjustment and recording system 100 of this embodiment. FIG. 5 is a functional block diagram of the adjustment and recording device 10 constituting the adjustment and recording system 100 of this embodiment. FIG. 6 is a flow diagram of a method for recording the adjustment range. FIG. 7 is a flow diagram of the allocation process in S103. FIG. 8 is an explanatory diagram of an image of an elevation view displayed on the display device 13. As shown in FIG. FIG. 9 is an explanatory diagram of a state in which the size and position of the image of the processed image data superimposed on the image of the elevation view are adjusted. FIG. 10 is an explanatory diagram of a state in which an image of the adjustment range is allocated onto an image of an elevation view. FIG. 11 is an explanatory diagram of a state in which images of the adjustment range are allocated to all wall surfaces 3 as the construction target, and is an explanatory diagram of a record diagram of the adjustment range. FIG. 12 is a flow diagram of an area calculation process for calculating the area of the adjustment range. FIG. 13 is an explanatory diagram of how the reference length L on the elevation drawing is set. FIG. 14 is an explanatory diagram of another example of a recording diagram of the adjustment range. FIG. 15 is a flow diagram of a construction method for tiling an exterior wall using the cement-based surface treatment coating material of the second embodiment. Fig. 16A is an explanatory diagram of a state in which an adjustment range is surrounded by the masking tape of the second embodiment. Fig. 16B is an explanatory diagram of a state in which an adjustment range is surrounded by the masking tape of a comparative example. Fig. 16C is an explanatory diagram in which an image of the wall surface of Fig. 16A is binarized. FIG. 17 is an explanatory diagram of a modified example in which the adjustment range is surrounded by masking tape. FIG. 18 is a flowchart of the adjustment range extraction process according to the third embodiment. FIG. 19 is an explanatory diagram of a recording diagram of the adjustment range of the third embodiment.

At least the following points become clear from the description in the specification and drawings described below.

A method of recording an adjustment range is disclosed that includes an application step of applying a component of a second color different from the first color to a base surface of a first color, an imaging step of photographing the base surface to which the component has been applied using an imaging device, and a recording step of recording the adjustment range of the base surface by identifying the area of the component from the image of the base surface photographed by the imaging device. Such a method of recording an adjustment range can improve the accuracy of recording the adjustment range.

The member is preferably a base adjustment coating material. Alternatively, the member is preferably a tape. This can improve the accuracy of recording the adjustment range.

In the recording step, it is desirable to identify the second color of the component from the image of the base surface, and change the method of extracting the adjustment range depending on the identified second color of the component. This can improve the accuracy of recording the adjustment range.

It is preferable that the first color is an achromatic color and the second color is a chromatic color, and in the recording step, the adjustment range of the base surface is recorded by identifying the chromatic color area from the image of the base surface. This can further increase the accuracy of recording the adjustment range.

In the recording step, it is desirable to identify the chromatic color areas by performing binarization processing based on saturation on the image of the base surface captured by the image capture device. This can further improve the accuracy of recording the adjustment range.

In the recording step, it is desirable to display an image of the elevation of the base surface on a display device, allocate the image of the base surface captured by the image capture device onto the image of the elevation, and record a record drawing in which the image of the adjustment range is allocated onto the image of the elevation. This can improve the accuracy of recording the adjustment range.

In the recording step, it is desirable to calculate the area of the adjustment range. This can improve the accuracy of recording the adjustment range.

In the recording step, it is desirable to set a reference length in the elevation view, and calculate the area of the adjustment range based on the reference length, the scale ratio of the image of the base surface assigned to the image of the elevation view, and the number of pixels of the area corresponding to the adjustment range in the image of the base surface. This can improve the accuracy of recording the adjustment range.

It is desirable that the member is a tape having a scale formed thereon, and that in the recording step, the area of the adjustment range is calculated based on the interval of the scale in the image of the base surface. This can improve the accuracy of recording the adjustment range.

A construction method is clarified that includes an application step of applying a component of a second color different from the first color to a base surface of a first color, an image capture step of photographing the base surface to which the component has been applied using an image capture device, a finishing application step of applying a finish to the adjusted base surface after the image capture step, and a recording step of recording the adjustment range of the base surface by identifying the area of the component from the image of the base surface photographed by the image capture device. This makes it possible to increase the accuracy of recording the adjustment range.

The component is a base-adjusting coating material, and in the finishing application step, it is desirable to fill the joints of the tiles laid on the base surface. This prevents the base-adjusting coating material from being exposed through the gaps by the joint material, so it is permissible to apply a base-adjusting coating material with a large color difference to the base.

The member is preferably a tape, and in the application step, the tape is applied so as to surround the portion of the base surface to be adjusted, and in the recording step, the tape is identified from an image of the base surface, and the area surrounded by the tape is recorded as the adjustment range. This can increase the accuracy of recording the adjustment range.

An organic base adjustment coating material that contains chromatic color pigments has been identified. This allows for improved accuracy in recording the adjustment range.

First Embodiment
<Overall process>
FIG. 1 is a flow diagram of a construction method for tiling an exterior wall using an organic surface treatment coating material according to the first embodiment.

First, the concrete wall surface that will serve as the base is inspected (S001). In this inspection process, the surface condition of the base is confirmed, and any areas of the base that require adjustment (areas that should be adjusted) are identified. In addition, pre-processing such as cleaning is performed on the surface of the base as necessary.

Next, a base adjustment coating material is applied to the area of the base to be adjusted (S002). In the following description, the range in which the base is adjusted may be referred to as the "adjustment range." Note that the "adjustment range" includes not only the areas where the base adjustment coating material has been applied, but also the areas to which the base adjustment coating material will be applied (see the second embodiment in particular). Note that base adjustment may be referred to as "repair," and the "adjustment range" may be referred to as the "repair range."

In the first embodiment, an organic base adjustment coating material is used as the base adjustment coating material. The organic base adjustment coating material is a base adjustment coating material whose main component is a resin such as modified silicone resin. However, the resin constituting the main component is not limited to modified silicone resin, and other resins (e.g. urethane resin) may also be used. The base adjustment coating material of this embodiment contains a chromatic color pigment.

Figure 2A is an explanatory diagram of the state in which the organic base preparation coating material of the first embodiment is applied to a base. Figure 2B is an explanatory diagram of the state in which the organic base preparation coating material of the comparative example is applied to a base.

As shown in FIG. 2B, typical organic base preparation coating materials are designed to be the same color (gray or white) as the underlying concrete. The reason for making the base concrete and base preparation coating material the same color (gray) is to make the base preparation coating material less noticeable even if it is visible through the tile joints. For this reason, typical organic base preparation coating materials contain gray coloring pigments so that they are the same color (gray) as the underlying concrete. However, if the base concrete and base preparation coating material are the same color (gray), the color difference between the base (concrete) and the base preparation coating material will be small, as shown in FIG. 2B.

In contrast, the organic base adjustment coating material of the first embodiment contains color pigments of chromatic colors such as red, blue, and yellow. As a result, when the base adjustment coating material is applied, the color difference between the base and the base adjustment coating material becomes large, as shown in FIG. 2A. Note that the organic base adjustment coating material of this embodiment does not contain gray color pigments in order to increase the color difference with the base. By not including gray color pigments in the organic base adjustment coating material of this embodiment, the saturation of the base adjustment coating material can be increased. In this embodiment, since the color difference between the base and the base adjustment coating material becomes large, it is possible to extract the adjustment range with high accuracy by performing binarization processing on the image of the wall surface (see FIG. 2C, described later).

By the way, even if the lightness (or luminance) of the base adjustment coating material is made different (given a difference) with respect to the color of the base, it is possible to increase the color difference between the base and the base adjustment coating material. However, if only the lightness of the base adjustment coating material is different from the color of the base, it may be difficult to distinguish the base and the base adjustment coating material based on the color difference when a shadow (for example, a shadow of scaffolding) is formed on the wall surface. In contrast, in the first embodiment, the difference in saturation (chroma difference) between the base and the base adjustment coating material is large. Therefore, in the first embodiment, even when a shadow (for example, a shadow of scaffolding) is formed on the wall surface, it is easy to distinguish the base and the base adjustment coating material based on the chroma difference. Therefore, in the first embodiment, in order to increase the chroma difference with respect to the achromatic color (gray) of the concrete that serves as the base, a chromatic color pigment such as red, blue, or yellow is contained in the base adjustment coating material.

Note that S002 in the first embodiment corresponds to an application step in which a member of a second color (here, a base adjustment coating material) different from the first color is applied to a base surface of a first color (here, a concrete wall surface). In the first embodiment, the base surface to be adjusted is a concrete wall surface, but the base surface to be adjusted is not limited to a concrete base surface, and may be a surface with a base of mortar or stucco, or another painted surface. Also, the base surface to be adjusted is not limited to a wall surface, and may be a floor surface or a ceiling surface.

After the base adjustment coating material is applied, the worker photographs the wall surface using the photographing device 1 (for example, a camera) (S003). FIG. 3 is an explanatory diagram of the manner in which the wall surface 3 is photographed. As shown in the figure, the worker photographs the wall surface 3 from above a narrow scaffold. For example, the height (dimension A) of the scaffold is about 1700 mm, and the width (dimension B) of the scaffold is, for example, 600 mm or 900 mm. In addition, the distance (dimension C) between the scaffold and the wall surface 3 is 500 mm or less, the photographing height (dimension D) is 800 to 1500 mm, and the distance (dimension E) between the wall surface 3 and the photographing device 1 is equal to or less than the sum (dimension B + dimension C) of the width (dimension B) of the scaffold and the distance (dimension C) between the scaffold and the wall surface 3. The photographed wall surface 3 includes the adjustment range where the above-mentioned base adjustment coating material has been applied. In the first embodiment, as described later, the adjustment range is recorded based on the image data of the wall surface 3 photographed at this time. How to record the adjustment range will be explained later.

As shown in the figure, when a worker photographs the wall surface 3 from a narrow scaffold, the distance between the wall surface 3 and the imaging device 1 becomes narrow. For this reason, the worker may use, for example, a camera with a wide angle of view or photograph the wall surface 3 from an oblique angle. Here, the worker photographs the wall surface 3 using a so-called 360-degree camera, and can photograph an area of at least 1800 mm wide x 1800 mm high of the wall surface 3 in one shot. However, the imaging device 1 is not limited to a 360-degree camera, and may be, for example, a camera equipped with a fisheye lens or a semi-spherical camera.

In this embodiment, the worker continuously photographs the wall surface 3 multiple times while moving along the wall surface 3. Note that photographing the wall surface 3 multiple times also includes taking a video while moving along the wall surface 3. The worker also continuously photographs the wall surface 3 multiple times so that at least a portion of the wall surface 3 overlaps. Here, the worker photographs the video while moving along the wall surface 3. The video data includes multiple still images (frames) photographed so that at least a portion of the wall surface 3 overlaps. However, the continuous photographing of the wall surface 3 is not limited to video shooting, and multiple still image shooting may also be used. The data (image data) of the image of the wall surface 3 photographed by the photographing device 1 is imported into the adjustment recording device 10 (described later).

After photographing the wall surface 3 (S003), tiles are laid on the concrete wall surface (S004). In this embodiment, after the tiling, the joints are filled (S005). In the joint filling, the gaps between the tiles are filled with joint material. In the first embodiment, the joint material prevents the base adjustment coating material from being exposed from the gaps, so it is permitted to apply a base adjustment coating material with a large color difference to the base.

In addition, S003 and S004 in the first embodiment correspond to the finishing construction step of applying the finish to the adjusted base surface (here, the wall surface adjusted with the base adjustment coating material). In the first embodiment, the weatherstripping process is performed after the tiles are laid on the adjusted base surface, but weatherstripping does not have to be performed in the finishing construction. In addition, the finishing construction is not limited to finishing construction by tiling, and may be finishing construction by painting or stone laying, for example.

<How to record the adjustment range>
4 is an explanatory diagram of the hardware configuration of the adjustment and recording system 100 of this embodiment. The adjustment and recording system 100 has the above-mentioned image capturing device 1 and an adjustment and recording device 10.

The adjustment recording device 10 is configured by a computer such as a personal computer or a server. The adjustment recording device 10 may be configured by one computer or multiple computers. The adjustment recording device 10 (computer) has a CPU 11 and a storage device 12. The CPU 11 is an arithmetic processing device that controls the adjustment recording device 10. The storage device 12 is a main storage device such as a RAM or an auxiliary storage device such as a hard disk drive or SSD (Solid State Drive). The storage device 12 stores programs, data, etc. The CPU 11 reads and executes the programs stored in the storage device 12 to perform various processes described below. The adjustment recording device 10 also includes a display device 13 (e.g., a display) and an input device 14 (e.g., a keyboard, a mouse). The adjustment recording device 10 also includes a communication device 15, and is capable of acquiring image data from the imaging device 1 via the communication device 15.

Figure 5 is a functional block diagram of the adjustment recording device 10 constituting the adjustment recording system 100 of this embodiment. The adjustment recording device 10 has a control unit 20 and a data storage unit 30.

The control unit 20 controls various processes to be performed by the adjustment and recording device 10. The control unit 20 is realized by the CPU 11 executing a control program stored in the storage device 12 to perform various controls. The control unit 20 has an image acquisition unit 21, an image processing unit 22, an allocation processing unit 23, and an adjustment and recording unit 24. Each function will be described later.

The data storage unit 30 is a storage unit for storing predetermined data. The various data stored in the data storage unit 30 will be described later.

Figure 6 is a flow diagram of a method for recording an adjustment range. Each process in the diagram is executed by the CPU 11 reading and executing an adjustment recording program stored in the storage device 12 of the adjustment recording device 10.

After photographing the wall surface 3 as described above (S003), the image data of the wall surface 3 photographed by the photographing device 1 is imported into the adjustment and recording device 10 (S101). The image acquisition unit 21 of the adjustment and recording device 10 stores the image data stored in the photographing device 1 in the data storage unit 30 as original image data. The original image data includes multiple still images. Furthermore, at least some of the images of the wall surface 3 overlap among the multiple still images included in the original image data.

Next, the image processing unit 22 of the adjustment recording device 10 performs image processing on the original image data to generate image data (processed image data) of one wall surface 3 (S102). Specifically, the image processing unit 22 performs distortion correction processing (e.g., a wide-angle correction filter) on each of the multiple still images included in the original image, and then performs a combining process (e.g., mosaicing) to combine the multiple still images into one image using overlapping parts of the multiple distortion-corrected still images. This generates data of a panoramic image of the horizontally long wall surface 3 (processed image data). Note that the process of S102 is not limited to performing the combining process after the distortion correction process. For example, the order of the distortion correction process and the combining process may be reversed, the distortion correction process and the combining process may be performed simultaneously, or other processes (e.g., trimming, etc.) may be performed.

Next, the allocation processing unit 23 of the adjustment recording device 10 performs an allocation process for allocating the adjustment range to the elevation drawing (S103). FIG. 7 is a flow diagram of the allocation process of S103. The allocation process is executed by the CPU 11 reading and executing the adjustment recording program stored in the storage device 12.

As shown in FIG. 8, the allocation processing unit 23 reads out the elevation data stored in advance in the data storage unit 30, and displays an image of the elevation on the display device 13. The elevation includes an image of a drawing of the wall surface.

Next, the allocation processing unit 23 reads the processed image data created in S102, and displays the image of the processed image data (panoramic image of the horizontally long wall surface 3) superimposed on the image of the elevation drawing, as shown in FIG. 9 (S202). However, at the stage of S202, the size and position of the wall surface shown in the elevation drawing do not match the size and position of the wall surface 3 in the processed image data. Therefore, as shown in FIG. 9, the worker operates the input device 14 (e.g., a mouse) of the adjustment recording device 10 to adjust the size and position of the image of the processed image data displayed on the display device 13 so that the image of the wall surface 3 of the processed image data (panoramic image of the horizontally long wall surface 3) matches the wall surface on the elevation drawing displayed on the display device 13 (S203). In other words, the allocation processing unit 23 adjusts the size and position of the image of the processed image data (panoramic image of the horizontally long wall surface 3) in response to the signal from the input device 14 (S203). As a result, the image of the processed image data (panoramic image of the horizontally long wall surface 3) is allocated to a predetermined position on the image of the elevation drawing.

The allocation processing unit 23 also performs an extraction process of the adjustment range (S204). Specifically, the allocation processing unit 23 performs a binarization process on the processed image data so as to separate the area showing the color of the concrete base from the area showing the color of the base adjustment coating material in the image shown by the processed image data, and extracts the area showing the color of the base adjustment coating material. The area showing the color of the base adjustment coating material is the area where the base adjustment coating material is applied, that is, it corresponds to the adjustment range. In other words, the allocation processing unit 23 extracts the adjustment range of the wall surface 3 by extracting the area where the base adjustment coating material is applied from the image of the concrete wall surface 3. The allocation processing unit 23 may perform the extraction process of S204 before the processes of S202 and S203. However, as in this embodiment, the extraction process of S204 is performed after the processes of S202 and S203, making it easier to allocate the adjustment range on the elevation drawing.

In this embodiment, the concrete base is achromatic (gray), whereas the base adjustment coating material contains chromatic pigments, so that the area to which the base adjustment coating material is applied is chromatic, such as red, blue, or yellow. As a result, the color difference between the base and the base adjustment coating material becomes large (see FIG. 2A), and in particular the saturation difference becomes large. Therefore, the allocation processing unit 23 of this embodiment calculates the saturation of each pixel of the processed image data, and performs binarization processing of the processed image data by comparing the saturation of each pixel with a predetermined saturation threshold value. For example, by performing binarization processing on the image of the wall surface of FIG. 2A, the binarized image shown in FIG. 2C can be generated. In FIG. 2C, pixels with a saturation higher than the threshold value are shown in black, and pixels with a saturation lower than the threshold value are shown in white. As shown in FIG. 2C, the area with a saturation higher than the threshold value (area composed of black pixels) is the area showing the color of the base adjustment coating material, and indicates the area to which the base adjustment coating material is applied (adjustment range). In addition, in the binarization process, pixels with a higher saturation than the threshold value may be displayed in white, and pixels with a lower saturation than the threshold value may be displayed in black. In this way, in this embodiment, the area (adjustment range) showing the color of the base adjustment coating material can be extracted with high accuracy.

Even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the saturation difference between the base and the base-adjusting coating material in the image data is maintained at a large level. Therefore, even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the allocation processing unit 23 can perform binarization processing of the processed image data based on the saturation difference, thereby extracting with high accuracy the area (adjustment range) showing the color of the base-adjusting coating material.

In addition, image identification processing using AI may be performed during the extraction processing of S204. In this case, a large amount of data that associates images of the wall surface coated with the base adjustment coating material with the adjustment range is used as learning data, and a judgment model is generated in advance by machine learning using the learning data, with the image of the wall surface coated with the base adjustment coating material as input data and the adjustment range as output data. Then, during the extraction processing of S204, the allocation processing unit 23 uses the above-mentioned processed image data as input data and determines the adjustment range corresponding to the processed image data based on the judgment model. In this way, the allocation processing unit 23 may extract the adjustment range by performing image identification processing using AI instead of binarization processing during the extraction processing of S204.

Finally, as shown in FIG. 10, the allocation processing unit 23 allocates the image of the adjustment range to a predetermined position on the image of the elevation by superimposing the extracted image of the adjustment range on the image of the elevation (S205). The image of the adjustment range to be superimposed on the elevation may be the image of the adjustment range on the processed image data (color image before binarization), the image after binarization (image composed of black pixels), or an image with hatching applied to the area indicating the adjustment range. The allocation processing unit 23 repeats the processes of S202 to S205 as necessary. Here, the allocation processing unit 23 repeats the processes of S202 to S205 for the wall surface 3 on the first floor, and then repeats the processes of S202 to S205 for the wall surfaces 3 on the other floors. As a result, the image of the adjustment range is allocated to all the wall surfaces 3 to be constructed, as shown in FIG. 11.

After the adjustment range allocation process (S103), the adjustment recording unit 24 of the adjustment recording device 10 generates a record drawing of the adjustment range (S104). Here, the drawing data shown in FIG. 11 (drawing data in which an image of the adjustment range is allocated to an elevation drawing) is saved in the data storage unit 30 as a record drawing of the adjustment range (record drawing of the repair range). Note that, although there is no obligation to report the application area for organic base adjustment coating materials, the adjustment recording unit 24 may record the area of the adjustment range as a record of the adjustment range, as described below.

Figure 12 is a flow diagram of the area calculation process for calculating the area of the adjustment range. The area calculation process is executed by the CPU 11 reading and executing the adjustment recording program stored in the storage device 12.

The area calculation unit 24A sets the reference length L on the elevation drawing as shown in FIG. 13 (S301). Since various dimensions of the construction object are set in advance on the elevation drawing, the worker operates the input device 14 (e.g., a mouse) of the adjustment and recording device 10 to set a reference length (reference length) according to the dimension lines written on the elevation drawing, and sets the dimension (actual dimension) corresponding to the reference length. Here, as shown in FIG. 13, the reference length L is set along the horizontal direction of the wall surface, and the actual dimension (e.g., L = 16,000 mm) corresponding to the reference length L is set. Note that instead of the worker operating the input device 14 to set the reference length L, the area calculation unit 24A may set the reference length L by analyzing the image of the elevation drawing.

Next, the area calculation unit 24A determines the scale ratio R of the processed image relative to the elevation drawing (S302). Specifically, the area calculation unit 24A determines the scale ratio R of the processed image (the processed image after adjustment in S203) relative to the elevation drawing.

Next, the area calculation unit 24A determines the size S1 of the adjustment range on the processed image (S303). For example, the area calculation unit 24A determines the number of pixels in the area of the adjustment range on the processed image (the area on the processed image where the base adjustment coating material is applied; the "high saturation area" in FIG. 2C) as the size S1 of the adjustment range on the processed image.

Next, the area calculation unit 24A calculates the actual area S2 of the adjustment range based on the reference length L, the scale ratio R, and the size S1 (S304). Specifically, since the area (unit: ^m2 or ^mm2 ) corresponding to one pixel on the processed image is determined based on the reference length L and the scale ratio R, the area calculation unit 24A calculates the actual area S2 (unit: ^m2 or ^mm2 ) of the adjustment range area based on the number of pixels (S1) of the adjustment range area on the processed image. Note that since there are usually multiple adjustment ranges, the area calculation unit 24A repeatedly performs the processes of S303 and S304 for each adjustment range.

Figure 14 is an explanatory diagram of another example of a recording diagram of adjustment ranges. The adjustment recording unit 24 assigns an identification number to each adjustment range and records the area of each adjustment range in association with it. Note that the adjustment recording unit 24 can assign an identification number to each adjustment range by, for example, performing a labeling process on the adjustment range on the processed image. The adjustment recording unit 24 may record the area of the adjustment range as shown in Figure 14 as a record of the adjustment range.

Second Embodiment
<Overall process>
FIG. 15 is a flow diagram of a construction method for tiling an exterior wall using the cement-based surface treatment coating material of the second embodiment.

First, the concrete wall surface is checked (S011). The process of S011 is the same as S001 in the first embodiment.

Next, the worker applies masking tape to the base to surround the adjustment area (S012).

Figure 16A is an explanatory diagram of the state in which the adjustment range is surrounded by masking tape of the second embodiment. Figure 16B is an explanatory diagram of the state in which the adjustment range is surrounded by masking tape of the comparative example.

As shown in Figure 16B, in the case of transparent masking tape (or white masking tape), the masking tape will be the same color (gray; achromatic) as the underlying concrete. However, if the masking tape is the same color (gray) as the underlying concrete, the color difference between the underlying concrete and the masking tape will be small, as shown in Figure 16B.

In contrast, the masking tape of the second embodiment is composed of a chromatic color tape, such as green or yellow. That is, the masking tape of the second embodiment is composed of a base material and an adhesive material, and the base material is composed of a chromatic color material, such as green or yellow. This increases the color difference between the base material and the masking tape, as shown in FIG. 16A. In the second embodiment, since the color difference between the base material and the masking tape is large, it is possible to extract the adjustment range with high accuracy by performing a binarization process on the image of the wall surface (see FIG. 16C, described later).

By the way, it is possible to increase the color difference between the base and the masking tape by making the brightness (or luminance) of the masking tape different (giving a difference) from the color of the base. However, if only the brightness of the masking tape differs from the color of the base, it may be difficult to distinguish the base and the masking tape based on the color difference when a shadow (for example, a shadow of scaffolding) is formed on the wall surface. In contrast, in the second embodiment, the difference in saturation (chroma difference) between the base and the masking tape is large. Therefore, in the second embodiment, even when a shadow (for example, a shadow of scaffolding) is formed on the wall surface, it is easy to distinguish the base and the masking tape by the chroma difference. Therefore, in the second embodiment, a chromatic masking tape such as green or yellow is used to increase the chroma difference from the achromatic color (gray) of the base concrete.

In addition, S012 in the second embodiment corresponds to an application step of applying a material of a second color (here, masking tape) different from the first color to a base surface of a first color (here, a concrete wall surface). As shown in the second embodiment, the material applied to the base surface of the first color (here, a concrete wall surface) is not limited to a base adjustment coating material, but may be masking tape or another material.

After the adjustment range is surrounded by masking tape (S012), the worker photographs the wall surface using the photographing device 1 (e.g., a camera) (S013). The process of S013 is similar to S003 in the first embodiment (see FIG. 3). However, in the case of the second embodiment, the wall surface 3 photographed includes the adjustment range surrounded by the masking tape described above. In the second embodiment, the wall surface 3 is photographed before the base adjustment material is applied to the adjustment range, and the adjustment range is recorded based on the image data of the wall surface 3 photographed at this time. The method of recording the adjustment range in the second embodiment will be described later.

After the wall surface 3 is photographed (S013), a base adjustment coating material is applied to the adjustment range (S014). In the second embodiment, a cement-based base adjustment coating material is used as the base adjustment coating material. The cement-based base adjustment coating material is an adjustment material made by mixing a main material made of cement, aggregate, etc., with a mixing liquid. Since it is made of a main material containing cement, the cement-based base adjustment coating material has a similar color (gray) to the concrete that serves as the base.

Before applying the base adjustment coating material, a water absorption adjustment material may be applied. In this case, it is desirable to apply the water absorption adjustment material to the inside of the masking tape applied to the wall surface 3 in S012. This prevents the water absorption adjustment material from spilling out beyond the adjustment range, and allows the masking tape applied in S012 to be used effectively.

After the base adjustment coating material is applied to the adjustment area (S014), the concrete wall surface is tiled (S015). If necessary, the joints are filled after the tiling (S016). Note that S014 and S015 in the second embodiment correspond to the finishing construction step in which the adjusted base surface is finished.

<How to record the adjustment range>
The configuration of the adjustment and recording system 100 of the second embodiment is similar to that of the first embodiment (see Figs. 4 and 5). Also in the second embodiment, similar to the first embodiment, the adjustment and recording device 10 executes the processes shown in Fig. 6 by the CPU 11 reading and executing the adjustment and recording program stored in the storage device 12. Also in the second embodiment, similar to the first embodiment, the adjustment and recording device 10 executes the processes shown in Fig. 7 during the allocation process of S103.

In the second embodiment, the allocation processing unit 23 also performs an extraction process of the adjustment range (see S204 in FIG. 7). In the second embodiment, the allocation processing unit 23 performs a binarization process on the processed image data so as to separate the area showing the color of the concrete base from the area showing the color of the masking tape in the image shown by the processed image data, and extracts the area showing the color of the masking tape. The area showing the color of the masking tape is the area where the masking tape is attached. Therefore, the area surrounded by the area showing the color of the masking tape (the area inside the area showing the color of the masking tape; the "low saturation area" inside the "high saturation area" in FIG. 16C) corresponds to the adjustment range. Therefore, the allocation processing unit 23 identifies the area showing the color of the masking tape from the image of the concrete wall surface 3, and extracts the area surrounded by the area showing the color of the masking tape as the adjustment range of the wall surface 3. Note that in the second embodiment, as in the first embodiment, the allocation processing unit 23 may perform the extraction process of S204 before the process of S202 or S203.

In the second embodiment, the concrete base is achromatic (gray), whereas the masking tape is chromatic, such as red, blue, or yellow. As a result, the color difference between the base and the masking tape becomes large (see FIG. 16A), and in particular the saturation difference becomes large. Therefore, the allocation processing unit 23 of the second embodiment calculates the saturation of each pixel of the processed image data, and performs binarization processing of the processed image data by comparing the saturation of each pixel with a predetermined saturation threshold. For example, by performing binarization processing on an image of the wall surface of FIG. 16A, a binarized image shown in FIG. 16C can be generated. In FIG. 16C, pixels with a saturation higher than the threshold are shown in black, and pixels with a saturation lower than the threshold are shown in white. As shown in FIG. 16C, the area with a saturation higher than the threshold (area composed of black pixels) is an area showing the color of the masking tape, and the area inside that area (area composed of white pixels) shows the adjustment range. In addition, in the binarization process, pixels with a saturation higher than the threshold value may be displayed in white, and pixels with a saturation lower than the threshold value may be displayed in black. In this way, in the second embodiment, the adjustment range can be extracted with high accuracy.

In the second embodiment, even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the saturation difference between the base and the masking tape in the image data is maintained at a large level. Therefore, even if a shadow (e.g., the shadow of scaffolding) is reflected in the image of the wall surface 3, the allocation processing unit 23 can perform binarization processing of the processed image data based on the saturation difference, thereby accurately determining the area showing the color of the masking tape, and as a result, the adjustment range can be extracted with high accuracy.

After applying the base adjustment coating material to the wall surface 3, the wall surface 3 to which the base adjustment coating material has been applied can be photographed, and the photographed image can be analyzed to extract the adjustment range by performing binarization processing on the processed image data so as to separate the area showing the color of the concrete base from the area showing the color of the base adjustment coating material. However, when a cement-based base adjustment coating material is used as in the second embodiment, the color difference between the concrete and the base adjustment coating material is small, so it is difficult to perform binarization processing to separate the area showing the color of the concrete base from the area showing the color of the base adjustment coating material, and as a result, there is a risk of misrecognizing the adjustment range. In contrast, in the second embodiment, the masking tape is made of a chromatic color, and the color difference (especially the saturation difference) between the base and the masking tape is increased, so that the area showing the color of the masking tape can be accurately identified, and the adjustment range can be extracted with high accuracy.

Also in the second embodiment, the allocation processing unit 23 allocates the image of the adjustment range to a predetermined position on the image of the elevation by overlaying the extracted image of the adjustment range on the image of the elevation, as shown in FIG. 10 (S205). Also in the second embodiment, the allocation processing unit 23 repeats the processes of S202 to S205 as necessary. As a result, also in the second embodiment, the image of the adjustment range is allocated to all wall surfaces 3 to be constructed, as shown in FIG. 11.

In the second embodiment, after the adjustment range allocation process (FIG. 6: S103), the adjustment recording unit 24 of the adjustment recording device 10 generates a record diagram of the adjustment range (S104). Also, in the second embodiment, as in the first embodiment, the adjustment recording unit 24 may record the area of the adjustment range as a record of the adjustment range (see FIGS. 12 and 14).

In the first embodiment described above, the area calculation unit 24A specified the number of pixels in the region of the adjustment range on the processed image (the region on the processed image where the base adjustment coating material is applied; the "high saturation region" in FIG. 2C) as the size S1 of the adjustment range on the processed image (S303). In contrast, in the second embodiment, the area calculation unit 24A may specify the number of pixels in the region of the adjustment range on the processed image (the region surrounded by the masking tape region on the processed image; the "low saturation region" inside the "high saturation region" in FIG. 16C) as the size S1 of the adjustment range on the processed image during the process of S303. Then, in the second embodiment, as in the first embodiment, the area calculation unit 24A may calculate the actual area S2 of the adjustment range based on the reference length L, the scale ratio R, and the size S1 during the process of S304.

<Modification>
17 is an explanatory diagram of a state in which the adjustment range is surrounded by masking tape in a modified example. In the modified example, the masking tape is also made of a chromatic color tape such as green or yellow. As a result, the color difference between the base and the masking tape is large in the modified example.

In the modified example, scale marks are drawn at a predetermined interval on both edges of the masking tape. For example, the masking tape in the figure has scale marks formed at 1 cm intervals. In the modified example, when the wall surface 3 is photographed in S013, the adjustment range surrounded by the masking tape with scale marks is photographed, as shown in FIG. 17. In the modified example, the area calculation unit 24A analyzes the intervals between the scale marks on the masking tape on the image data, and calculates the area of the adjustment range based on the intervals between the scale marks on the image data. According to the modified example, the area of the adjustment range can be calculated with high accuracy, even without setting a reference length L as in the above-mentioned embodiment.

Third Embodiment
The organic base preparation coating material of the first embodiment and the cement-based base preparation coating material of the second embodiment may be used together to prepare the wall surface. In this case, after applying the base preparation coating material as in the first embodiment (S002), and after surrounding the adjustment area with masking tape as in the second embodiment (S012), the worker photographs the wall surface using the photographing device 1 (e.g., a camera) (S003, S013). The adjustment area is recorded based on the image data of the wall surface 3 photographed at this time. In this embodiment, the color of the organic base preparation coating material and the color of the masking tape are different, and here, the organic base preparation coating material is red and the masking tape is green.

The configuration of the adjustment recording system 100 of the third embodiment is similar to that of the first and second embodiments (see Figures 4 and 5). Also, in the third embodiment, similar to the first and second embodiments, the adjustment recording device 10 executes the processes shown in Figure 6 by having the CPU 11 read and execute the adjustment recording program stored in the storage device 12. Also, in the third embodiment, similar to the first embodiment, during the allocation process of S103, the adjustment recording device 10 executes the processes shown in Figure 7.

Figure 18 is a flow diagram of the adjustment range extraction process in the third embodiment.

In the third embodiment, the allocation processing unit 23 also performs an extraction process of the adjustment range (see FIG. 7: S204). In the third embodiment, the allocation processing unit 23 performs a binarization process on the processed image data to extract areas of high saturation. The areas extracted at this time are areas where an organic base adjustment material is applied or areas where masking tape is applied. As shown in FIG. 18, the allocation processing unit 23 determines the color of the high saturation area (S241). Then, if the color of the high saturation area is red (the color of the organic base adjustment coating material) (YES in S242), the allocation processing unit 23 extracts the high saturation area (the area where the base adjustment coating material is applied) as the adjustment range, as in the first embodiment (S243). On the other hand, if the color of the high saturation area is green (the color of the masking tape) (NO in S242), the allocation processing unit 23 extracts the low saturation area inside the high saturation area (the masking tape area) as the adjustment range of the wall surface 3, as in the second embodiment (S244).

As described above, in the third embodiment, the color of the components (organic base adjustment coating material or masking tape applied to the wall surface) is identified from the image of the wall surface, and the method of extracting the adjustment range is changed depending on the color of the identified components. This makes it possible to extract the adjustment range with high accuracy.

Figure 19 is an explanatory diagram of the recording diagram of the adjustment range in the third embodiment.

In the third embodiment, the adjustment recording unit 24 also generates a record diagram of the adjustment range (S104). The adjustment recording unit 24 in the third embodiment assigns an identification number to each adjustment range and records the type of base adjustment coating material applied to each adjustment range. In the third embodiment, the adjustment recording unit 24 identifies the type of base adjustment coating material of the corresponding adjustment range according to the color identified in S241 of FIG. 18. Specifically, when the color identified in S241 of FIG. 18 is red, the adjustment recording unit 24 records that an organic base adjustment coating material has been applied to the adjustment range. In addition, when the color identified in S241 of FIG. 18 is green, the adjustment recording unit 24 records that a cement-based base adjustment coating material has been applied to the adjustment range. In the third embodiment, the adjustment recording unit 24 may also record the area of the adjustment range as a record of the adjustment range.

===Summary===
In the above-mentioned embodiments (first to third embodiments), the steps of applying a second colored component (e.g., organic base-like coating material or masking tape) to a first colored base (e.g., achromatic concrete wall surface 3) (S002, S012), photographing the base surface to which the component has been applied by the photographing device 1 (S003, S013), and recording the adjustment range of the base surface by identifying the area of the component from the image of the base surface photographed by the photographing device 1 (S204, S205; see FIG. 11) are performed. In the above-mentioned embodiments, the adjustment range is recorded from the image photographed by the photographing device 1, so that the accuracy of recording the adjustment range can be improved compared to the case where the adjustment range is manually recorded by an operator. In the above-mentioned embodiments, the component applied to the concrete wall surface 3 serving as the base surface was an organic base-like coating material or masking tape, but the component applied to the base surface may be another component.

In the first embodiment (and the third embodiment) described above, the base adjustment coating material is applied to the base surface, and the area where the base adjustment coating material is applied is identified from the image of the base surface, and the area where the base adjustment coating material is applied is stored as an adjustment range. This makes it possible to improve the accuracy of recording the adjustment range compared to when an operator manually records the adjustment range.
In the above-mentioned first embodiment (and third embodiment), the base adjustment coating material is an organic base adjustment coating material containing a chromatic color pigment. This increases the color difference between the base (concrete wall surface) and the base adjustment coating material, so that the adjustment range can be extracted with high accuracy, and the accuracy of recording the adjustment range can be improved.

In the second embodiment (and third embodiment) described above, masking tape is applied to surround the portion of the base surface to be adjusted (adjustment range), and the area surrounded by the masking tape is recorded as the adjustment range. This allows for a higher accuracy in recording the adjustment range compared to when the adjustment range is recorded manually by an operator. Furthermore, in the second embodiment (and third embodiment), since the masking tape is made of chromatic color, the color difference between the base (concrete wall surface) and the masking tape is large, so that the adjustment range can be extracted with high accuracy, and the accuracy in recording the adjustment range can be improved. Note that the tape applied to the base surface is not limited to masking tape, and other tapes may be used. However, when masking tape is used as in the second embodiment (and third embodiment), for example, when applying the water absorption adjustment material to the adjustment range, the overflow of the water absorption adjustment material can be suppressed, and the masking tape can be used effectively.

In the third embodiment described above, the color of chromatic components (such as organic base-conditioning coating materials and masking tape) is identified from the image of the base surface, and the method of extracting the adjustment range is changed depending on the identified color (see FIG. 18). This makes it possible to extract the adjustment range with high accuracy, even if there is a mixture of adjustment ranges that are coated with organic base-conditioning coating materials and adjustment ranges that are surrounded by masking tape.

In addition, in the first to third embodiments described above, a chromatic component (e.g., an organic base coating material or masking tape) is applied to an achromatic base surface (e.g., a concrete wall surface 3), and the adjustment range of the base surface is recorded by identifying chromatic areas from the image of the base surface captured by the imaging device 1. In this way, by using chromatic components, the color difference between the base surface and the component becomes large, so that the adjustment range can be extracted with high precision and the accuracy of recording the adjustment range can be improved.

In the above embodiment, the image of the base is binarized based on saturation to identify chromatic areas. This allows the adjustment range to be extracted with high precision, even in a situation where a shadow (e.g., the shadow of scaffolding) is formed on the wall surface, by utilizing the large difference in saturation between the base and the component. However, binarization based on saturation does not have to be performed. For example, by utilizing the fact that the difference between the maximum and minimum RGB values is small for pixels indicating a concrete wall surface and the difference between the maximum and minimum RGB values is large for pixels indicating an area of chromatic components, binarization may be performed based on the difference between the maximum and minimum RGB values of each pixel.

In the above embodiment, a step (S201) of displaying an image of the elevation of the wall on a display device and a step (S203) of allocating the image of the wall captured by the camera on top of the image of the elevation are performed, thereby recording a record diagram in which an image of the adjustment range is allocated on top of the image of the elevation. This makes it possible to create a record diagram showing the adjustment range on the elevation, and to create a record diagram of the adjustment range on the same scale as the elevation. However, the record diagram of the adjustment range is not limited to one showing the adjustment range on the elevation. For example, an image (e.g., a binary image) in which the adjustment range is extracted from a horizontally long panoramic image of the wall 3 may be recorded as the record diagram of the adjustment range.

In the above embodiment, the area of the adjustment range is calculated (S304). However, the area of the adjustment range does not have to be included in the recorded content of the adjustment range.

===Other embodiments===
The above-mentioned embodiment is intended to facilitate understanding of the present invention, and is not intended to limit the present invention. The present invention can be modified or improved without departing from the spirit of the present invention, and it goes without saying that the present invention includes equivalents thereof.

1. Photographing device; 3. Wall surface;
10 Adjustment and recording device, 11 CPU, 12 Storage device,
13 Display device, 14 Input device, 15 Communication device,
20 control unit, 21 image acquisition unit, 22 image processing unit,
23 allocation processing unit, 24 adjustment recording unit, 24A area calculation unit,
30 Data storage unit, 100 Adjustment recording system

Claims (10)

A step of applying a member of a second color different from the first color to a base surface of a first color;
an imaging step of imaging the base surface to which the member is attached by an imaging device;
a recording step of identifying an area of the component from the image of the base captured by the imaging device , and recording an adjustment range of the base by setting an area surrounded by the component as an adjustment range ;
A method for recording an adjustment range, comprising:
the first color is an achromatic color and the second color is a chromatic color;
In the recording step, the adjustment range is recorded by identifying the chromatic color area from the image of the base surface;
In the recording step, a binarization process is performed on the image of the base surface captured by the image capture device based on saturation to identify the chromatic color area;
In the recording step,
Displaying an image of the elevation of the base surface on a display device;
An image of the base surface photographed by the photographing device is allocated on the image of the elevation view;
A record drawing in which the image of the adjustment range is allocated on the image of the elevation is recorded;
In the recording step, an area of the adjustment range is calculated;
the member is a tape having a scale formed thereon;
A method for recording an adjustment range, comprising the steps of: calculating an area of the adjustment range based on an interval of the scale in the image of the base surface, in the recording step. A step of applying a member of a second color different from the first color to a base surface of a first color;
an imaging step of imaging the base surface to which the member is attached by an imaging device;
a recording step of recording an adjustment range of the base surface by identifying an area of the component from an image of the base surface captured by the imaging device (excluding the line segment lengths of the trace lines for each color generated based on information of the image);
A method for recording an adjustment range, comprising:
The member is a base adjustment coating material,
the first color is an achromatic color and the second color is a chromatic color;
In the recording step, the adjustment range is recorded by identifying the chromatic color area from the image of the base surface;
The method for recording an adjustment range, wherein in the recording step, the chromatic color area is identified by performing binarization processing on the image of the base surface captured by the image capture device based on saturation. 3. A method for recording an adjustment range according to claim 2, comprising:
A method for recording an adjustment range, characterized in that, in the recording step, the second color of the component is identified from the image of the base surface, and a method for extracting the adjustment range is changed depending on the identified second color of the component. A method for recording the adjustment range according to claim 2 or 3, comprising the steps of:
In the recording step,
Displaying an image of the elevation of the base surface on a display device;
An image of the base surface photographed by the photographing device is allocated on the image of the elevation view;
A method for recording an adjustment range, comprising recording a record drawing in which an image of the adjustment range is allocated on top of an image of the elevation drawing. 5. A method for recording an adjustment range according to claim 4, comprising the steps of:
A method for recording an adjustment range, comprising: calculating an area of the adjustment range in the recording step. A method for recording the adjustment range according to claim 1 or 5, comprising the steps of:
A method for recording an adjustment range, characterized in that in the recording step, a reference length in the elevation drawing is set, and the area of the adjustment range is calculated based on the reference length, the scale ratio of the image of the base surface assigned to the image of the elevation drawing, and the number of pixels of an area corresponding to the adjustment range in the image of the base surface. A step of applying a member of a second color different from the first color to a base surface of a first color;
an imaging step of imaging the base surface to which the member is attached by an imaging device;
A finishing step of finishing the adjusted base surface after the photographing step;
a recording step of identifying an area of the component from the image of the base captured by the imaging device , and recording an adjustment range of the base by setting an area surrounded by the component as an adjustment range ;
A construction method for carrying out the steps:
the first color is an achromatic color and the second color is a chromatic color;
In the recording step, the adjustment range is recorded by identifying the chromatic color area from the image of the base surface;
In the recording step, a binarization process is performed on the image of the base surface captured by the image capture device based on saturation to identify the chromatic color area;
In the recording step,
Displaying an image of the elevation of the base surface on a display device;
An image of the base surface photographed by the photographing device is allocated on the image of the elevation view;
A record drawing in which the image of the adjustment range is allocated on the image of the elevation is recorded;
In the recording step, an area of the adjustment range is calculated;
the member is a tape having a scale formed thereon;
A construction method characterized in that, in the recording step, an area of the adjustment range is calculated based on the interval of the scale in the image of the base surface. The construction method according to claim 7,
In the application step, the tape is applied so as to surround a portion of the base surface to be adjusted;
The construction method according to claim 1, wherein in the recording step, the tape is identified from the image of the base surface, and an area surrounded by the tape is recorded as the adjustment range. A step of applying a member of a second color different from the first color to a base surface of a first color;
an imaging step of imaging the base surface to which the member is attached by an imaging device;
A finishing step of finishing the adjusted base surface after the photographing step;
a recording step of recording an adjustment range of the base surface by identifying an area of the component from an image of the base surface captured by the imaging device (excluding the line segment lengths of the trace lines for each color generated based on information of the image);
A construction method for carrying out the steps:
The member is a base adjustment coating material,
the first color is an achromatic color and the second color is a chromatic color;
In the recording step, the adjustment range is recorded by identifying the chromatic color area from the image of the base surface;
The construction method is characterized in that in the recording step, the chromatic color area is identified by performing a binarization process based on saturation on the image of the base surface photographed by the photographing device. The construction method according to claim 9,
A construction method characterized in that in the finishing construction step, joints of tiles laid on the base surface are filled.

Images