JP7800904B2 - Infrared information processing system, infrared information processing method, infrared information processing device, program, and infrared diagnostic system - Google Patents

Description

The present invention relates to an infrared information processing system, an infrared information processing method, an infrared information processing device, a program, and an infrared diagnostic system.

For example, Patent Document 1 describes a method for identifying defective areas in a building by analyzing temperature data acquired by an infrared thermography camera in a 3D graph, which includes an image capture step of using an infrared thermography camera to capture images of areas where there is a possibility of exterior wall deterioration or leaks, and a temperature data graphing step of extracting temperature data saved as infrared image data captured in the image capture step and graphing the temperature data. In the temperature data graphing step, the temperature data is graphed using a device that creates a 3D graph by combining vertical and horizontal axes, allowing the 3D graph to be moved in three dimensions, and the gradient and angle of the graph created are used as a standard to determine whether the area is defective.

Japanese Patent Application Laid-Open No. 2019-124677

For example, there is a known technology for diagnosing structures such as buildings based on infrared information obtained by photographing the structure using an infrared camera. This type of technology estimates the internal condition of the structure based on temperature information that appears on the surface of the structure. However, with this conventional technology, the user cannot grasp the positional relationship of voids and other features inside the structure.
The present invention aims to enable a user to grasp the positional relationship of voids and the like inside a structure using infrared information.

To this end, the technology disclosed in this specification is an infrared information processing system that includes an acquisition means for acquiring infrared data obtained from infrared rays emitted from a structure, an identification means for using the infrared data to identify the position within the structure of a specific target, such as air or moisture present within the structure, and a display means for displaying an object image representing the specific target on a structure image representing the structure.

Here, the display means may display the position of the specific target in the thickness direction of the structure on the structure image.
The identifying means may identify the position of the identified object using information on the surface temperature of the structure obtained from the infrared data.
The identifying means may also receive, from a user on the structure image, a designation of an area from which the identification of the specific target is to be excluded, from within a target area in which the specific target is to be identified.
Furthermore, when displaying the target image, the display means may display the structure image in the excluded area.
The specifying means may display an exclusion image indicating an area to be excluded from the specification on the structure image, and may receive an operation to move the exclusion image from the user.
The identifying means may identify the position of the target using information on a plurality of materials constituting the structure and thicknesses of the respective materials.
The apparatus may further comprise a storage means for storing information relating to a plurality of the materials, and the specifying means may display a selection of the plurality of materials on a screen and accept a selection of the material from the user.
The display means may also display the target image superimposed on the structure image visualized from the infrared data.

Furthermore, with this objective in mind, the technology disclosed in this specification is an infrared information processing method characterized by comprising the steps of: acquiring infrared data obtained from infrared rays emitted from a structure; using the infrared data to identify the position within the structure of a specific target, which is air or moisture present within the structure; and displaying an object image representing the specific target on a structure image representing the structure.
Furthermore, for this purpose, the technology disclosed in this specification is an infrared information processing device characterized by comprising an acquisition means for acquiring infrared data obtained from infrared rays emitted from a structure, and an identification means for using the infrared data to identify the position within the structure of a specific target, which is air or moisture present within the structure.
Furthermore, with this objective in mind, the technology disclosed in this specification is a program that enables a computer to perform the following functions: acquire infrared data obtained from infrared rays emitted from a structure; use the infrared data to identify the position within the structure of a specific target, which is air or moisture present within the structure; and display an object image representing the specific target on a structure image representing the structure.

Furthermore, with this objective in mind, the technology disclosed in this specification is an infrared diagnostic system characterized by comprising: an acquisition means for acquiring infrared data obtained from infrared rays emitted from a structure; an identification means for identifying the position within the structure of an abnormality present therein using the infrared data; and a diagnosis means for diagnosing the structure based on the position of the abnormality identified by the identification means.

This invention allows users to understand the positional relationships of voids and other elements inside a structure using infrared information.

1 is a schematic diagram of an infrared information processing system according to an embodiment of the present invention; FIG. 2 is a functional block diagram of a server device according to the present embodiment. FIG. 2 is a functional block diagram of a two-dimensional image display unit according to the present embodiment. 10A, 10B, and 10C are model diagrams of structures having voids inside. FIG. 2 is a diagram illustrating an example of a management screen according to the present embodiment. FIG. 4 is a diagram illustrating an example of a main screen according to the present embodiment. FIG. 10 is a diagram illustrating an example of a detection screen according to the present embodiment. FIG. 10 is a diagram showing an example of a gap image according to the present embodiment. FIG. 10 is a diagram illustrating an example of a dew point image according to the present embodiment. FIG. 10 is a diagram illustrating an example of an exclusion setting screen according to the present embodiment. FIG. 2 is a diagram illustrating an example of a three-dimensional display screen according to the present embodiment. FIG. 2 is a diagram illustrating an example of a hardware configuration of a server device according to the present embodiment.

Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

Figure 1 is a schematic diagram of the infrared information processing system 1 of this embodiment.

[Infrared Information Processing System 1]
1, the infrared information processing system 1 of this embodiment includes a terminal device 10 used by a user and a server device 30 that processes information including infrared information. The terminal device 10 and the server device 30 are capable of communicating information with each other via a network. The user connects to the server device 30 via the terminal device 10 and performs image analysis of buildings such as apartment buildings, or civil engineering structures such as tunnels and bridges (hereinafter referred to as "objects") using infrared images 200 (see, for example, FIG. 5 described below).
The number of terminal devices 10 and the number of server devices 30 are not limited to the example of this embodiment.

The network is not particularly limited as long as it is a communications network used for data communication between devices, and may be, for example, a LAN (Local Area Network) or a WAN (Wide Area Network). The communications lines used for data communication may be wired or wireless. Furthermore, devices may be connected via multiple networks or communications lines using relay devices such as gateway devices or routers.

The infrared information processing system 1 of this embodiment acquires infrared data obtained from infrared rays emitted from an object, uses the infrared data to identify the position within the object of a specific object, such as air or moisture present inside the object, and displays an object image representing the specific object on an image representing the object. This allows the user to understand the positional relationship of voids and other elements within the object. This is explained in detail below.

[Terminal device 10]
The terminal device 10 is a terminal device used by a user who diagnoses an object. The terminal device 10 may be, for example, a fixed terminal device. Note that the terminal device 10 may also be, for example, a mobile terminal device such as a tablet terminal.
In this embodiment, a user accesses the server device 30 via the terminal device 10, and an infrared image is displayed on the terminal device 10. The terminal device 10 manages the infrared images and transmits image processing information for the infrared images to the server device 30. In response to a request from the terminal device 10, the server device 30 sends information about the infrared images it manages and the infrared images that have undergone image processing to the terminal device 10. The terminal device 10 then displays the infrared images received from the server device 30 on a screen (display device).

[Server device 30]
FIG. 2 is a functional block diagram of the server device 30 of this embodiment.
FIG. 3 is a functional block diagram of the two-dimensional image display unit 35 of this embodiment.

As shown in FIG. 2, the server device 30 includes an image management unit 31 that manages images to be analyzed, a color palette setting unit 33 that sets a color palette, a two-dimensional image display unit 35 that controls the display of two-dimensional infrared images, a three-dimensional image display unit 37 that controls the display of three-dimensional infrared images, and an air gap/dew point detection unit 39 that detects air gaps and dew points in the object.

The image management unit 31 manages infrared data, including infrared images obtained by photographing an object with, for example, an infrared camera. Infrared data is data obtained by measuring infrared radiation emitted from an object. Infrared radiation can be, for example, light with wavelengths of approximately 800 nm to approximately 1000 nm. An infrared image is an image that visualizes the infrared data based on color palette information, described below. In other words, an infrared image is an image that represents the temperature of an object in color (for example, color or grayscale).

Examples of formats for infrared data and infrared images include CSV, extended JPEG, extended TIF, JPEG, and TIF. CSV includes temperature distribution information, which is temperature information associated with location information. For example, CSV is a collection of temperature information, with temperatures described in 512 rows by 640 rows. Extended JPEG and extended TIF include infrared images that express temperature information in color or grayscale, and meta information (e.g., Exif). Like CSV, this meta information includes temperature distribution information, which is temperature information associated with location information for the corresponding infrared image. TIF and JPEG are simply infrared images that express temperature in color.

The image management unit 31 manages not only the drawing data for drawing infrared images, but also various information related to the infrared images, such as group information for managing multiple infrared images as a group, location information related to the location where the infrared image (object) was taken, and the date and time of the image.
The image management unit 31 also manages images that are displayed by the two-dimensional image display unit 35 and captured by the user.

The color palette setting unit 33 manages color palette information that defines the correspondence between temperature and display color when displaying an infrared image in color. In this embodiment, the color palette setting unit 33 manages multiple pieces of color palette information. The color palette setting unit 33 sends the color palette information to the two-dimensional image display unit 35 and the three-dimensional image display unit 37. The color palette information includes color definition information that defines the relationship between temperature and color, and a color palette image 150, which is an image that lists the multiple colors to be displayed.

The color palette of this embodiment includes two types: a relative palette and a fixed palette. A relative palette assigns a number of predetermined display colors relatively to the temperature range between the highest and lowest temperatures in the infrared image. On the other hand, a fixed palette assigns a predetermined display color to a predetermined temperature. In other words, a fixed palette has a fixed relationship between temperature and display color.

The color palette setting unit 33 accepts the creation of color palette information from the user. The color palette setting unit 33 displays a color palette creation screen on the screen of the terminal device 10. The color palette setting unit 33 then manages the color definition information created by the user and the color palette image 150 corresponding to the color definition information.

The two-dimensional image display unit 35 displays infrared images managed by the image management unit 31 on the screen of the terminal device 10. The two-dimensional image display unit 35 converts infrared data of various formats managed by the image management unit 31 into infrared images, which can be displayed in a unified manner on the screen of the terminal device 10. Furthermore, when displaying infrared data of various formats, the two-dimensional image display unit 35 draws the infrared image in colors based on the specifications of the color palette information.

For data such as CVS data that includes temperature information associated with position information (coordinates), the two-dimensional image display unit 35 displays an infrared image in which a color corresponding to the temperature is displayed at a position corresponding to the position information based on color palette information. Similarly, for extended JPEG data or extended TIF data, the two-dimensional image display unit 35 displays an infrared image in which a color corresponding to the temperature is displayed at a position corresponding to the position information based on color palette information and temperature information associated with position information (coordinates) included in the meta information.
The two-dimensional image display unit 35 also displays an infrared image having only color image information, such as a TIF image, as is.

Furthermore, the two-dimensional image display unit 35 can also display an infrared image with a different display color from the original infrared image by using an infrared image that contains only color image information, such as a TIF, and specified reference information. The two-dimensional image display unit 35 acquires reference information that defines the correspondence between the colors in the infrared image and the temperature information corresponding to those colors. The two-dimensional image display unit 35 uses this reference information and color palette information to display an infrared image using color representations specified by the user.

Next, the functions of the two-dimensional image display unit 35 of this embodiment will be described in detail.
3, the two-dimensional image display unit 35 includes a color palette application unit 351 that applies color palette information to an infrared image, a display temperature adjustment unit 352 that adjusts the temperature to be displayed, and a temperature extraction unit 353 that extracts the temperature from the infrared image. The two-dimensional image display unit 35 further includes a superimposed image display unit 354 that displays an infrared image and an image of an object in a superimposed manner, an image correction unit 355 that corrects the image, and a contour display unit 356 that displays contours.

The color palette application unit 351 applies a color palette to the infrared data according to, for example, the object or the diagnostic purpose. The color palette application unit 351 displays the infrared image using colors based on the temperature definition information set by the color palette setting unit 33.
The color palette application unit 351 displays color palette options on the management screen 400 (described later), the main screen 500 (described later), etc. Furthermore, the color palette application unit 351 accepts a color palette designated by the user from among multiple color palettes. The color palette application unit 351 then applies the color palette designated by the user to the infrared image.

The display temperature adjustment unit 352 sets a specific temperature range within the temperature range specified by the color palette. The color palette of this embodiment has an upper limit and a lower limit for the temperature to be displayed in the infrared image. When a certain color palette is applied to the infrared image, the display temperature adjustment unit 352 further adjusts the displayed temperature within the range between the upper limit and lower limit of the color palette.
The display temperature adjustment unit 352 receives a temperature region designation from the user, and determines the temperature to be displayed in the infrared image based on the temperature region designation received from the user.

The display temperature adjustment unit 352 of this embodiment adjusts the display temperature of the infrared image in response to a specified user operation. Furthermore, the display temperature adjustment unit 352 of this embodiment may adjust the display temperature by directly operating the display temperature of the infrared image by the user, or may adjust the display temperature based on temperature extraction by the temperature extraction unit 353, which will be described later.

Furthermore, the display temperature adjustment unit 352 may display a temperature corresponding to a specified temperature on the infrared image, or may display a temperature other than the specified temperature on the infrared image. In this case, the display temperature adjustment unit 352 receives a designation from the user regarding which display mode to use.

The temperature extraction unit 353 extracts the temperature of an area specified by the user in the infrared image. In this embodiment, the temperature extraction unit 353 accepts the user's designation of an arbitrary point or area in the infrared image. When the temperature extraction unit 353 accepts the designation of an arbitrary point, it extracts the temperature corresponding to that point. Furthermore, when the temperature extraction unit 353 accepts the designation of an arbitrary area, it identifies the median temperature of multiple temperatures in that area.

The temperature extraction unit 353 then sends the extracted temperature information to the display temperature adjustment unit 352. The display temperature adjustment unit 352 displays an infrared image based on the temperature information obtained from the temperature extraction unit 353 as described above.

The superimposed image display unit 354 superimposes a visible image 100 of the object (see, for example, Figure 5 described below) on an infrared image 200 obtained by photographing the object, and displays the superimposed image on the screen of the terminal device 10. Here, a visible image can be, for example, an image photographed at wavelengths of approximately 400 nm to approximately 700 nm. The superimposed image display unit 354 superimposes and displays the visible image 100 of the object photographed with a visible camera and the infrared image 200 of the object photographed with an infrared camera so that their corresponding positions on the object are aligned.

Furthermore, in this embodiment, the superimposed image display unit 354 superimposes a pseudo-visible image that imitates a visible image onto the infrared image, for example, when there is no visible image of the object photographed with a visible camera. The pseudo-visible image is an image created using infrared data obtained by photographing the object with an infrared camera, or an infrared image corresponding to that infrared data. For example, an example of a pseudo-visible image is an image in which an infrared image is displayed using a black and white color palette (grayscale). Another example of a pseudo-visible image is an image in which an infrared image has been binarized.

The superimposed image display unit 354 can change the degree of superimposition between the infrared image of the object and the visible image of the object. Specifically, the superimposed image display unit 354 can change the transparency of the visible image, for example. The superimposed image display unit 354 also allows the user to adjust the degree of overlap between the infrared image and the visible image.

When displaying an infrared image of an object on a screen, the image correction unit 355 deforms the infrared image so that it has a predetermined shape. For example, when an object such as a building is photographed by looking up, the captured image of the object may be trapezoidal. Therefore, the image correction unit 355 corrects an infrared image of the object that has been photographed as a trapezoid, for example, to a rectangle. The image correction unit 355 also performs similar corrections on visible images of the object photographed with a visible camera.

The image correction unit 355 also aligns the infrared image of an object with the visible image of the same object. For example, the image correction unit 355 receives from the user the specification of multiple positions in the infrared image and multiple positions in the visible image. The multiple positions in each image correspond to positions on the actual object. The image correction unit 355 transforms either or both of the infrared image and the visible image to match the positions of the infrared image and the visible image specified by the user. In this way, the image correction unit 355 aligns the infrared image and the visible image.

The contour line display unit 356 draws contour lines representing temperature gradients within the infrared image. The contour line display unit 356 divides the temperature range for displaying the infrared image into multiple ranges. The contour line display unit 356 then identifies the temperature divisions when the multiple ranges are divided. For example, if the temperature range of 21°C to 22°C is divided into five ranges, the temperature range is divided in increments of 0.2°C. In this case, the contour line display unit 356 displays contour lines represented by straight lines or curves on the infrared image at 0.2°C divisions. The temperature distribution in an infrared image is generally not continuous. Therefore, the contour lines displayed by the contour line display unit 356 are displayed as isotherms.

The contour line display unit 356 can also display a contour line superimposed on the infrared image to which the color palette has been applied. In this case, the contour line display unit 356 associates the temperature ranges used to display the contour line with the temperature ranges displayed by the color palette. This allows the infrared image displayed by the color palette to correspond to the contour line displayed by the contour line display unit 356, making the infrared image easier to see.

As shown in FIG. 2, the three-dimensional image display unit 37 displays the infrared data managed by the image management unit 31 in three dimensions on the screen of the terminal device 10. The three-dimensional image display unit 37 represents the temperature of the infrared image as a three-dimensional mesh. That is, the three-dimensional image display unit 37 represents the temperature in the infrared image in relation to the height direction. For example, the three-dimensional image display unit 37 displays areas in the infrared image with relatively high temperatures as being higher in height from a predetermined reference plane. On the other hand, the three-dimensional image display unit 37 displays areas in the infrared image with relatively low temperatures as being lower in height from a predetermined reference plane.

The three-dimensional image display unit 37 also applies the color palette set by the color palette setting unit 33 to the three-dimensional mesh, just as it does to two-dimensional images. This allows the three-dimensional mesh to represent temperature not only as a difference in elevation, but also as a color corresponding to the temperature. In this case, the user can apply color palette information previously set by the user to the three-dimensional image as desired.

The void/dew point detection unit 39 identifies voids or dew points present inside the object from the infrared data, and displays the positions of the voids or dew points on an image representing the object.
Here, examples of voids include gaps between tiles and wall surfaces, and unintended spaces or cracks present inside structures such as reinforced concrete. Examples of voids include those filled with air. Examples of dew points include moisture present in voids in reinforced concrete.

The void/dew point detection unit 39 analyzes infrared data selected by the user from the infrared data managed by the image management unit 31. The void/dew point detection unit 39 then performs its analysis using the surface temperature of the object obtained from the infrared data, the temperature of the space where the object is located, such as outdoors (hereinafter referred to as the high temperature), and the temperature of the space inside the object, such as indoors (hereinafter referred to as the low temperature). Furthermore, the void/dew point detection unit 39 uses structural information about the object's structure (material information and thickness information, described below) and a calculation model, described below, to identify the presence of voids and dew points, as well as their locations within the object.

The void/dew point detection unit 39 stores structural information related to the structure of the object. The structural information includes the thermal conductivity [W/(m·K)] of the various materials that make up the object, such as a building. Examples of the various materials include reinforced concrete, mortar, tiles, and joints. Furthermore, the structural information includes information on the thickness of each material.

Thermal conductivity information is information that is uniquely identified for each type of material. The void/dew point detection unit 39 of this embodiment pre-stores thermal conductivity information for each material. Then, for example, by receiving a user specification of the material that makes up the object, the thermal conductivity corresponding to that material is reflected in the calculation. Furthermore, in the case of a typical building such as an apartment building, a combination of multiple materials that make up the structure is determined. The void/dew point detection unit 39 of this embodiment pre-stores patterns of combinations of multiple materials.

In addition, thickness information can be obtained by accepting numerical input from the user, or by using representative numerical values determined for each material. For example, when accepting thickness information from the user, specific numerical values are accepted for each material that makes up the object in an input section displayed on the screen. In addition, in the case of a typical building such as an apartment building, a representative thickness for each material is determined according to the number of floors and size. The void/dew point detection unit 39 of this embodiment pre-stores representative numerical values determined for each material.

In this way, the void/dew point detection unit 39 stores numerical values received from the user regarding structural information about the structure of the object, as well as representative numerical values designated in advance by the system administrator. The void/dew point detection unit 39 then uses the structural information, including information on thermal conductivity and thickness, to identify the presence and location of voids and dew points.

The void/dew point detection unit 39 is also capable of excluding detection of voids or dew points from the infrared data. In this embodiment, the void/dew point detection unit 39 accepts from the user specification of areas to be excluded from detection of voids or dew points from within the detection target area. For example, the tile joints described below have different analysis conditions than other areas. As a result, the accuracy of detecting voids and dew points may decrease. Therefore, the void/dew point detection unit 39 excludes specific areas from detection of voids and dew points, thereby preventing a decrease in detection accuracy of voids and dew points.

The void/dew point detection unit 39 displays a void image 390 that visualizes the identified void and a dew point image 395 that visualizes the identified dew point, superimposed on an image showing the object. The void/dew point detection unit 39 can superimpose the void image 390 or dew point image 395 on the two-dimensional infrared image 200, visible image 100, or pseudo-visible image via the two-dimensional image display unit 35. The void/dew point detection unit 39 can also display the void image 390 or dew point image 395 on a three-dimensional object image 350 that represents the object as a three-dimensional mesh via the three-dimensional image display unit 37.

Next, the identification of a void or dew point portion present inside the object by the void/dew point detection unit 39 will be described.
4A, 4B and 4C are model diagrams of structures having voids inside.

In this embodiment, the void/dew point detection unit 39 models how heat is transferred in the object and estimates the internal structure of the object. The void/dew point detection unit 39 then identifies voids and dew points in the object.

The model diagram shown in FIG. 4 is a representation of a structure such as a wall of a building. In the model diagram, the structure is divided into multiple layers in the thickness direction for each material that makes up the structure. In the example of FIG. 4, the left side of the diagram corresponds to the outside (e.g., the outside of the building), and the right side of the diagram corresponds to the inside (e.g., the inside of the building). Furthermore, the left side of the structure is the high temperature side, and the right side of the structure is the low temperature side. Each layer is assigned a number n (n is a natural number equal to or greater than 1) from the high temperature side to the low temperature side.
Furthermore, the model diagram includes an air layer with a thickness of x [m] corresponding to the gap (the area indicated by diagonal lines in Figure 4). In the example shown in Figure 4, the air layer is located at the rear (low temperature side) of the second layer.

Then, for each layer, the layer thickness L [m] and the layer thermal conductivity resistance R [ ^m² ·(K/W)] are defined. The layer thickness L can be obtained from structural information. Similarly, the thermal conductivity resistance R can be determined from material information of the structure. A known value can be used for the thermal conductivity resistance of air, _RA . The thermal conductivity is obtained by multiplying the reciprocal of the thermal conductivity r [W/(m·K)] by the thickness L [m]. The thermal conductivity of air is defined as _rA .

The high-temperature side temperature ti and the low-temperature side temperature t o can be obtained by actually measuring the temperature using a thermometer or the like when photographing an object with an infrared camera. The high-temperature side temperature ti may be obtained from infrared data. The low-temperature side temperature t o may be the indoor temperature that can be identified, for example, through the glass of a building photographed with an infrared camera. The low-temperature side temperature t o may be a predetermined temperature (for example, 20°C) because the temperature change is smaller than the outside temperature.
The temperature _T0 of the hot (outside) surface of the structure can be determined using infrared data, and the temperature T of the cold (inside) surface of the structure can be considered the cold side temperature T0.

The void/dew point detection unit 39 of this embodiment then identifies the position and thickness of the void using the various information described above and a model equation related to the temperature gradient of the multilayer wall. That is, the void/dew point detection unit 39 performs calculations while changing the conditions of the position and thickness x of the air layer in the model to calculate the conditions that satisfy the temperature _T0 of the surface on the high-temperature side (outside) of the structure and the temperature T of the surface on the low-temperature side (inside) of the structure. The void/dew point detection unit 39 then considers the position and thickness x of the air layer that satisfy the conditions as the position and thickness of the void in the structure. In this way, the void/dew point detection unit 39 estimates the thickness of the void in the target structure and the position of the void in the thickness direction.

Furthermore, the infrared information processing system 1 of this embodiment divides the plane of the object in the infrared data into multiple grids at a predetermined interval and performs calculations for each grid using the above model. Then, for the plane of the object photographed using infrared light, the thickness of the air layer on the plane is determined for each grid unit. In this way, the infrared information processing system 1 determines the distribution of voids on the plane.
Furthermore, in the infrared information processing system 1, the length of the air layer (gap portion) in the thickness direction, which is the direction perpendicular to the plane, is identified for each grid unit.
In this way, the infrared information processing system 1 of this embodiment identifies the position of the void from the air temperature and surface temperature that can be obtained from infrared data and the physical property values of the object. More specifically, the infrared information processing system 1 can identify the position of the void in a plane and the position of the void in the thickness direction.

Next, a specific description of temperature calculation using the model formula will be given with reference to FIG.
The temperature gradient in the multilayer wall can be calculated using the following equation (1):
The total thermal conduction resistance Rx up to the desired n-th interlayer temperature is expressed by the following formula (2).

Here, the algebras in the above formula are as follows:
t: temperature ti: temperature on the high temperature side [K]
to: Temperature of the lower temperature side [K]
ri: Thermal conductivity resistance of the wall surface on the high temperature side [m ² · K/W]
Rs: total thermal resistance of the wall [m ² · K/W]
r(n): Thermal conductivity resistance of each layer [ ^m2 ·K/W]

When n=0, Rx=0 and ri=R _1. Therefore, the following equation (3) is obtained from equation (1).

where:
Rs = _R1 + _R2 ' + _R3 + _R4 + R _A (R _A : thermal conduction resistance of the air layer)
R ₂ '=(L ₂ -x)/r _2
RA = x/ _rA ( _rA : thermal conductivity of the air layer)
_L2 / _r2 = _R2
is.

Also,
A=Σ[n=1→4]Rn
Let's say.
From the above relationship, the following equation (4) is obtained.

By substituting this formula (4) into formula (3), formula (5) is obtained.

Here, if a gap exists after n=1, then:
R ₁ =R ₁ '+R _A
Rs = ΣRn
R ₁ '=(L ₁ -x)/r _1
RA = x/ _rA
Then, the following equation (6) is obtained.

Then, by substituting equation (6) into equation (3), equation (7) is obtained.

Next, the determination of the temperature of the contact surface of each layer will be described with reference to FIG.
First, the total thermal conduction resistance in the structure shown in FIG. 4B is expressed by the following equation (8).

In the model diagram shown in FIG. 4C, the temperature Tn of the target layer is expressed by the following equation (9).

When n=1, ri= _R1 , and therefore the following equation (10) is obtained.

By substituting equation (8) into equation (10), equation (11) is obtained.

Next, when n=2, equation (12) is obtained based on equation (9).
Here, R _A = x/r _A (R _A : thermal conductivity of air)

Although equations (11) and (12) differ in terms of _T1 and _T2 , they are similar calculation formulas. If _T1 and _T2 can be determined, the other values are known, so x, which corresponds to the thickness (width) of the gap, can be determined.

The temperature of the contact surface of each layer can be expressed by the following equation (13).

Rn is the sum of the thermal conduction resistances from the layer on the high temperature side to the layer whose contact temperature is desired. Rn can be expressed by the following equation (14).

In the model diagram shown in Figure 4(C), _r3 is the thermal conductivity of air. While _L3 is unknown, _r1 , _r2 , _r4 , _r5 , _L1 , _L2 , _L4 , _L5 , ti, and to are known. Therefore, _T1 and _T2 can be calculated from equation (13). Then, by substituting the calculated _T1 and _T2 into equations (11) and (12), x, which corresponds to the thickness of the air gap, can be calculated. This x is _L3 in Figure 4(C), and the other temperatures _T3 and _T4 can be calculated.

The above description can be applied not only to the void portion, which is an air layer, but also to the dew point portion, which is a moisture layer. In this case, the value corresponding to the thermal conductivity resistance of air, _RA , is replaced with the thermal conductivity resistance of water, _RW . This allows the void/dew point detection unit 39 to similarly identify the thickness and position of the moisture layer and regard it as the thickness and position of the dew point portion. In this way, the void/dew point detection unit 39 can identify the position of the dew point portion using the surface temperature and physical property values of the object obtained from the infrared data. In other words, the void/dew point detection unit 39 can identify the position of the dew point portion on a plane, the thickness of the dew point portion, and the position of the dew point portion in the thickness direction.

Next, we will explain in detail the screens displayed in the infrared information processing system 1 of this embodiment, with reference to the drawings.

Figure 5 shows an example of the management screen 400 of this embodiment.

The management screen 400 shown in Figure 5 is a screen used to check multiple infrared images 200 managed by the system and to select infrared images to be analyzed using the main screen 500, which will be described later.

As shown in FIG. 5, the management screen 400 has a file tree display section 410, a group information display section 420, an image list display section 430, a visible/infrared display section 440, a property display section 450, and a captured image display section 460.
In the infrared information processing system 1 of this embodiment, various types of infrared data can be received and managed using the management screen 400.

In this embodiment, a plurality of infrared images 200 are managed in groups.
The file tree display section 410 then displays the structure of the infrared image files that make up the group in a tree format.

The group information display section 420 displays details of the selected group. For example, the group information display section 420 displays information about the group name, and if a target property is specified, the property name and property location. This information can be entered by the user.

Furthermore, the group information display unit 420 can set a color palette to be applied to the infrared images that make up the group. Specifically, the group information display unit 420 is provided with a palette selection unit 580, which will be described later. For example, the image list display unit 430 can apply the same color palette to multiple infrared images that make up a group, making it possible to compare multiple infrared images in a list.
By changing the color palette setting in the group information display section 420, the display colors of the multiple infrared images displayed in the image list display section 430 are changed all at once according to the color palette.

The image list display unit 430 displays multiple infrared images 200 that make up a group. The infrared images 200 include images based on infrared data in various formats. When the infrared data is in JPEG or TIF format, the image list display unit 430 displays it as an infrared image as is, or applies a color palette to it. The image list display unit 430 applies a color palette to meta information in CSV, extended JPEG, and extended TIF, and displays it as an infrared image.

In addition, in the image list display section 430, each infrared image 200 is displayed with the name of the image as well as information about the data format (extension) of the original infrared data.

In this way, the infrared information processing system 1 of this embodiment is able to acquire infrared data in multiple different file formats and display multiple infrared images 200 visualized using color palette information on the screen.

The visible/infrared display unit 440 displays the infrared image 200 selected by the user from the multiple infrared images 200 displayed in the image list display unit 430, alongside the visible image 100 of the object that was the subject of the infrared image 200. This allows the user to check both the infrared image 200 and the visible image 100 that are the subject of analysis.

The property display section 450 displays detailed information about the temperature contained in the infrared image, location information about the location when the infrared image 200 was taken, and information about the photographing equipment that took the infrared image 200 .
The captured image display unit 460 displays captured images saved by the user on the main screen 500 (described later) etc. The captured image display unit 460 displays one or more captured images associated with one infrared image 200 selected by the user from among the multiple infrared images 200 displayed in the image list display unit 430.

Figure 6 shows an example of the main screen 500 of this embodiment.

The main screen 500 shown in FIG. 6 is the main screen when the user displays the infrared image 200 .
6 , the main screen 500 has a thumbnail display section 510, a superimposition adjustment section 520, a resolution adjustment section 530, an image size adjustment section 540, and a property information display section 550. The main screen 500 also has an infrared image display section 560 that displays the infrared image 200, an X-axis temperature display section 570, a Y-axis temperature display section 575, a palette selection section 580, and a captured image display section 590.

The thumbnail display section 510 displays multiple infrared images 200 that make up a group. If there is a visible image 100 that corresponds to an infrared image, the thumbnail display section 510 displays the infrared image 200 and the visible image 100 side by side.

The superimposition adjustment unit 520 accepts operations to change the transmittance of the infrared image 200 and the visible image 100. The superimposition adjustment unit 520 has an infrared thumbnail image 521 of the infrared image, a visible thumbnail image 522 of the visible image, and a slider button 523. Sliding the slider button 523 changes the transmittance of the infrared image 200 displayed on the infrared image display unit 560. For example, as the transmittance of the infrared image 200 increases (becomes lighter), the visible image 100 (described below) displayed on a layer behind the infrared image 200 becomes easier to see. On the other hand, as the transmittance of the infrared image 200 decreases (becomes darker), the visible image 100 displayed on a layer behind the infrared image 200 becomes less visible.

The resolution adjustment unit 530 accepts an operation to change the resolution of the infrared image 200. The resolution adjustment unit 530 adjusts the resolution and interpolation resolution of the infrared image 200. By sliding the slider button 531, the resolution and interpolation resolution of the infrared image 200 change.
The image size adjustment section 540 accepts an operation to change the display size of the infrared image 200 displayed on the infrared image display section 560. By sliding the slider button 541, the display size of the infrared image 200 changes.

The property information display unit 550 displays detailed information about the infrared image 200 displayed on the infrared image display unit 560. An example of the detailed information is information about the temperature of the infrared image 200.

The infrared image display unit 560 displays the infrared image 200 selected by the user from among the multiple infrared images displayed in the thumbnail display unit 510. Operations and various information performed by the user are performed on the infrared image 200 displayed on the infrared image display unit 560. The user can analyze the infrared image 200 by performing operations on the infrared image 200 displayed on the infrared image display unit 560.

The X-axis temperature display section 570 is displayed in correspondence with the horizontal direction (left and right direction in the drawing) of the infrared image 200. When the user places a mouse pointer at any position on the infrared image 200 using a mouse or the like, the X-axis temperature display section 570 displays the temperature distribution along a horizontal straight line that passes through the specified position.
The Y-axis temperature display section 575 is displayed in correspondence with the vertical direction (up and down direction in the drawing) of the infrared image 200. When the user places a mouse pointer at any position on the infrared image 200 using a mouse or the like, the Y-axis temperature display section 575 displays the temperature distribution along a vertical line passing through the specified position.

The palette selection unit 580 accepts a color palette selection from the user. The palette selection unit 580 displays multiple color palette images 150 managed by the color palette setting unit 33 as options. The palette selection unit 580 then applies the color palette corresponding to the color palette image 150 selected by the user to the infrared image 200. The display colors of the infrared image 200 are then changed according to the color palette selected by the user.

Then, with one color palette selected, different infrared images 200 are displayed on the infrared image display unit 560. Each infrared image 200 is then displayed according to the color and temperature conditions defined by the one color palette.
That is, when a plurality of pieces of infrared data relating to infrared rays are acquired, the plurality of pieces of infrared data are converted into infrared images 200 using color palette information created by the user, and are displayed on the screen. At this time, the color palette information is created by the user.

In this embodiment, multiple different infrared data can be converted into infrared images 200 using a single color palette information and viewed. The color palette information is created by the user, and even if the infrared data is different, the relationship between temperature and color in the displayed infrared image 200 will be the same. The user can set their own temperature and color relationship that is easy for them to see, and can analyze the infrared image 200 using a temperature and color relationship that the user is accustomed to seeing. In this way, the infrared information processing system 1 of this embodiment is a system that makes it easy for users to handle infrared information.

The captured image display unit 590 displays an image captured from the infrared image 200 displayed on the infrared image display unit 560. In this embodiment, by pressing a predetermined button image (e.g., a "save button"), the infrared image 200 displayed on the infrared image display unit 560 is captured at the time of pressing. The captured image is associated with the original infrared image 200 and managed by the image management unit 31.

Figure 7 shows an example of the detection screen 650 of this embodiment.

A detection screen 650 shown in FIG. 7 is a screen used by the user when detecting voids and dew points.
Similar to the main screen 500, the detection screen 650 has a thumbnail display section 510, an infrared image display section 560, an X-axis temperature display section 570, a Y-axis temperature display section 575, a palette selection section 580, and a captured image display section 590. The detection screen 650 further has a condition setting section 651, a reference temperature extraction section 652, and an air gap/dew point detection section 653.

As shown in FIG. 7, the infrared image display unit 560 displays a two-dimensional infrared image 200 that visualizes the infrared data of the object to be analyzed, and a visible image 100 of the object. The display color of the two-dimensional infrared image 200 is specified based on the color palette selected in the palette selection unit 580.

Note that the image displayed on the infrared image display unit 560 is not limited to the example shown in Figure 7, as long as it is an image showing the target object. The infrared image display unit 560 may display only the visible image 100 rather than the two-dimensional infrared image 200, or may display a pseudo-visible image created based on infrared data of the target object, for example.

The condition setting section 651 shows the structural information set for the object that is the basis for the infrared data to be analyzed. The structural information includes information on the materials that make up the object and thickness information for each material. The user can check whether the structure of the object has been set by looking at the structural information displayed in the condition setting section 651.

The structural information set in the condition setting unit 651 can be set on a setting screen (not shown). The setting screen is used when specifying the structural information of an object. The setting screen, for example, has multiple material candidates prepared as options. The user can specify the material corresponding to the object from the options displayed on the screen. Similarly, the setting screen allows the user to specify the thickness for each material. The setting screen also displays options for combinations of multiple materials and thicknesses for each material. The user can set the structural information of the object by selecting a pattern prepared in advance. The structural information set on this setting screen is then reflected in the condition setting unit 651.

The reference temperature extraction unit 652 determines the range designated by the user for detecting voids or dew points. For example, as shown in FIG. 7 , the user designates a detection area 655 using a mouse cursor or the like in an image of an object displayed on the infrared image display unit 560. After the detection area 655 is designated, pressing the reference temperature acquisition button 652B sets the area to be analyzed.
The reference temperature extraction unit 652 acquires information about the surface temperature of the object in the set detection area 655. Furthermore, the reference temperature extraction unit 652 of this embodiment displays the results (numeric values) of the identification of the reference temperature, lower limit temperature, and upper limit temperature in the detection area 655 on the screen.

The void/dew point detection section 653 is provided with a void designation button 653A, a dew point designation button 653W, and a detection execution button 653E. The void designation button 653A is a button that accepts a designation to detect a void portion in the detection area 655. The dew point designation button 653W is a button that accepts a designation to detect a dew point portion in the detection area 655. When the detection execution button 653E is pressed with either the void designation button 653A or the dew point designation button 653W designated, the detection result of the designated void portion or dew point portion is displayed on the infrared image display section 560.

In addition, when the gap designation button 653A is selected, the gap/dew point detection unit 653 of this embodiment displays the thermal conductivity of the air corresponding to the gap on the screen. On the other hand, when the dew point designation button 653W is selected, the gap/dew point detection unit 653 displays the thermal conductivity of the water corresponding to the dew point on the screen. Furthermore, the gap/dew point detection unit 653 of this embodiment also displays numerical values for the high and low temperatures determined from the infrared data obtained by photographing the object.

Next, the gap image 390 and the dew point image 395 displayed on the infrared image display section 560 will be described.
FIG. 8 is a diagram showing an example of a gap image 390 according to this embodiment.
FIG. 9 is a diagram showing an example of a dew point image 395 according to this embodiment.

When the gap designation button 653A is selected and the detection execution button 653E is pressed, a gap image 390 indicating the location of the gap is displayed on the infrared image display unit 560, as shown in Figure 8. The gap image 390 is displayed superimposed on the visible image 100 of the object. The gap image 390 is displayed in red, for example.

On the other hand, when the dew point specification button 653W is selected and the detection execution button 653E is pressed, a dew point image 395 showing the location of the dew point is displayed on the infrared image display unit 560, as shown in FIG. 9. The dew point image 395 is displayed superimposed on the visible image 100 of the object. The dew point image 395 is displayed in a color different from the void image 390, such as blue.

Note that the image representing the object on which the void image 390 and dew point image 395 are superimposed is not limited to the visible image 100. The image representing the object may also be created from infrared data obtained by photographing the object using infrared light. For example, the image representing the object may be an infrared image displayed in a black and white color palette (grayscale), or a binarized infrared image.

Next, the exclusion of the detection area in the gap/dew point detection will be described.
FIG. 10 is a diagram showing an example of an exclusion setting screen 900 according to this embodiment.

The exclusion setting screen 900 shown in FIG. 10 is a screen for the user to specify an area to be excluded from detection when detecting voids or dew point areas.
The basic configuration of the exclusion setting screen 900 is the same as that of the detection screen 650. As shown in Fig. 10 , the exclusion setting screen 900 has a line drawing section 910, a joint setting section 920, a rotation operation section 930, and a detection execution button 940.

As explained with reference to Figure 7, in this embodiment, when detecting voids and dew points, a detection area 655 is set. The exclusion setting screen 900 then accepts the user's specification of areas of this detection area 655 from which detection of voids and dew points is to be excluded. The user specifies areas from which detection of voids and dew points is to be excluded on an image representing the target object.

The line drawing unit 910 is used to specify an area to be excluded from detection using a straight line. The user draws a straight line in the detection area 655, for example, by manipulating the mouse cursor. A straight line-shaped exclusion image 990 is then displayed superimposed on the visible image 100 of the object. This straight line is also registered in the line drawing unit 910 as a line passing through, for example, the coordinates of two points (start point, end point).

The joint setting unit 920 specifies the areas to be excluded from detection in a grid pattern. The joint setting unit 920 accepts from the user the specification of the starting X coordinate in the X direction (left-right direction in the figure) and the starting Y coordinate in the Y direction (up-down direction in the figure). The joint setting unit 920 also accepts from the user the specification of the horizontal spacing of the grid in the X direction and the vertical spacing of the grid in the Y direction. Furthermore, the joint setting unit 920 accepts from the user the specification of the grid line thickness.

When the joint drawing button 921 is pressed, the joint setting unit 920 draws a grid-shaped exclusion image 990 in the detection area 655. The exclusion image 990 is displayed superimposed on the visible image 100, which is, for example, an image showing the object. While the exclusion image 990 is displayed, the user can change the values of various items in the joint setting unit 920, which will cause the exclusion image 990 displayed on the screen to deform, etc., and move its position. This operation allows the user to move the exclusion image 990 to any position, for example, to align the grid-shaped exclusion image 990 with the tile joints.

The rotation operation unit 930 is used to rotate the displayed exclusion image 990. The rotation operation unit 930 rotates the exclusion image 990 being operated on based on an arbitrary rotation angle. This rotation operation also allows the user to move the exclusion image 990 to any position.

The detection execution button 940 accepts the execution of detection of voids or dew points in the detection area 655, after excluding from the detection target any areas that overlap with the exclusion image 990 set by the line drawing unit 910 or joint setting unit 920.

By setting the exclusion image 990 on the exclusion setting screen 900 as described above, detection of voids and dew points is not performed for the areas of the object represented by infrared data that correspond to the exclusion image 990. Furthermore, as explained with reference to Figures 8 and 9, when the void image 390 or dew point image 395 is displayed on the screen, an image representing the object (e.g., a visible image, infrared image, etc.) is displayed in the areas that correspond to the exclusion image 990.

In the above example, detection of gaps and dew points is excluded for areas corresponding to the excluded image 990, but this is not limited to the above. For example, for areas corresponding to the excluded image 990, gaps and dew points may be detected by applying conditions set separately for the material information and thickness information of the object. In other words, the excluded image 990 may be used to detect gaps and dew points in areas corresponding to the excluded image 990 using conditions that are different from the material information and thickness information of areas that do not correspond to the excluded image 990.

Figure 11 shows an example of a 3D display screen 800 in this embodiment.

As shown in FIG. 11, the three-dimensional display screen 800 has a three-dimensional image display section 810 that displays a three-dimensional image, a color setting section 820, a mesh setting section 830, a temperature information display section 840, a drawing setting section 850, an image storage section 860, and a structure display selection section 870.

The three-dimensional image display unit 810 displays a three-dimensional infrared image selected and operated by the user. The three-dimensional image display unit 810 also displays a three-dimensional object image 350 that represents the object in three dimensions. The three-dimensional image display unit 810 also displays a three-dimensional void image 390 or a three-dimensional dew point image 395. Operations and various information performed by the user are performed on the image displayed on the three-dimensional image display unit 810. The user can analyze the image of the object by performing operations, etc. on the image displayed on the three-dimensional image display unit 810.

The color setting unit 820 accepts the selection of a background color and a color palette. The color setting unit 820 displays color palette images 150 of multiple color palettes managed by the color palette setting unit 33 as options. The color setting unit 820 then applies the color palette selected by the user to the infrared image displayed in three dimensions. In the three-dimensional infrared image, the display colors of the mesh are determined according to the definition of the color palette.
Similarly, the color setting section 820 displays a plurality of background color options, and sets the background color selected by the user as the background of the three-dimensional image display section 810.

The mesh setting unit 830 accepts settings for the mesh spacing of the image displayed as a mesh image on the 3D image display unit 810. The mesh setting unit 830 presents options for the level of mesh fineness. The smaller the mesh, the more detailed the temperature distribution of the object is represented. On the other hand, the larger the mesh, the more coarsely the temperature distribution of the object is represented.

The temperature information display unit 840 displays detailed information about the temperature of the three-dimensional infrared image displayed on the three-dimensional image display unit 810. Examples of detailed information include the maximum temperature, minimum temperature, and average temperature in the infrared image.

The drawing setting unit 850 accepts settings for the display size and temperature range of the image displayed on the 3D image display unit 810. The drawing setting unit 850 enlarges, reduces, and rotates the image displayed on the 3D image display unit 810 according to the user's specifications.

The image storage unit 860 displays a captured image obtained by capturing an image displayed on the three-dimensional image display unit 810. In this embodiment, by pressing a predetermined button image (e.g., an "image save button"), the image displayed on the three-dimensional image display unit 810 at the time of pressing is captured. The captured image is associated with the original image and managed by the image management unit 31.

The structure display selection unit 870 is used when displaying the three-dimensional void image 390 and the three-dimensional dew point image 395. In this embodiment, when the three-dimensional void image 390 and the three-dimensional dew point image 395 are displayed, a three-dimensional object image 350 that represents the object in three dimensions is also displayed. The three-dimensional object image 350 is displayed with each material that makes up the object distinguished.
The structure display selection unit 870 then accepts settings for displaying or hiding each material of the object.

As shown in FIG. 11, a three-dimensional object image 350 is displayed on the three-dimensional image display unit 810. The three-dimensional object image 350 is represented by multiple layers corresponding to an object made up of multiple materials. Each layer is displayed based on the material information and thickness information set in the condition setting unit 651 (see FIG. 8, for example). The three-dimensional object image 350 shown in FIG. 11 includes a first layer 350A located at the outermost layer in the thickness direction, a second layer 350B located inside the first layer 350A, and a third layer 350C located inside the second layer 350B. For example, the first layer 350A corresponds to a tile material, the second layer 350B corresponds to a mortar material, and the third layer 350C corresponds to a concrete material. The thickness of each layer is displayed according to the thickness set for each material.

Then, the three-dimensional image display unit 810 displays a gap image 390 that indicates the gap in the three-dimensional object image 350. The gap image 390 is expressed as having a width (thickness) in the thickness direction of the object. In other words, the gap image 390 represents the width (thickness) of the gap in the thickness direction in three dimensions. In this way, the infrared information processing system 1 of this embodiment displays the position of the gap in the thickness direction of the object in the three-dimensional object image 350.

Note that the display mode of the gap image 390 showing the gap portion, as explained with reference to Figure 11, is also the same for the dew point image 395 showing the dew point portion.

In the infrared information processing system 1 of this embodiment, the gap image 390 and the dew point image 395 displayed on the detection screen 650, the three-dimensional display screen 800, etc. can be used to diagnose the object.
For example, a standard threshold value is set for the length of the void in the thickness direction. Then, in the infrared information processing system 1, if the detected length of the void exceeds the standard, the user is notified of an abnormality. In this case, for example, in the void image 390, the void that exceeds the standard may be displayed in a color different from the other voids. This can also be applied to the dew point area.

Furthermore, when indicating abnormal areas to the user on the detection screen 650 or the three-dimensional display screen 800, the infrared information processing system 1 may use, for example, a color that is not defined in the color palette selected by the user. This allows the infrared information processing system 1 to display abnormal areas in an object diagnosed by the system in a way that makes it easier for the user to notice them.

Note that, although the present embodiment has been described using examples of detecting voids and dew point areas, the present invention is not limited to this example. For example, it is conceivable that parts of a structure may be altered due to deterioration over time or exposure to unexpected conditions. The infrared information processing system 1 of this embodiment can store thermal conductivity information for such altered parts in advance. The infrared information processing system 1 can then use the information on the thermal conductivity of the altered parts to identify the location of the altered parts within the structure.

FIG. 12 is a diagram illustrating an example of the hardware configuration of the server device 30 according to this embodiment.
As shown in FIG. 12, the server device 30 includes a CPU 301, a main memory device 302, an auxiliary memory device 303, a communication interface (denoted as "communication I/F" in the figure) 304, a display device 305, and an input device 306.

The CPU 301 implements the functions of the server device 30 by loading various programs stored in, for example, the auxiliary storage device 303 into the main storage device 302 and executing them.
The main storage device 302 is a memory used as a working memory for the CPU 301 .
The auxiliary storage device 303 is a memory that stores various programs executed by the CPU 301, data created or acquired by the server device 30, etc. The auxiliary storage device 303 may be a solid state drive (SSD) or a hard disk drive (HDD), etc.

The communication I/F 304 transmits and receives various types of information to and from other devices via a network.
The display device 305 is a device that displays various information output from within the server device 30. Here, as the display device, for example, a liquid crystal display can be used.
The input device 306 is a device that receives information input by the user and inputs this information into the server device 30 .

The above hardware configuration and the functions realized by the hardware configuration are also the same for the terminal device 10.
The programs for realizing the server device 30 and the terminal device 10 of the present embodiment can be stored in various recording media and provided. The programs for realizing the server device 30 and the terminal device 10 can also be provided via a communication line.

In the infrared information processing system 1 of this embodiment, the functions realized by the server device 30 may be realized by the terminal device 10. Furthermore, the functions realized by the infrared information processing system 1 of this embodiment may be realized by multiple server devices 30 or multiple terminal devices 10.

Here, the image management unit 31 is an example of an acquisition means. The void area or dew point area is an example of a specified target. The void/dew point detection unit 39 is an example of a specification means. The 2D image display unit 35 and the 3D image display unit 37 are examples of a display means. The black and white infrared image, pseudo-visible image, visible image, or 3D object image 350 is an example of a structure image. The void image 390 or dew point image 395 is an example of a target image. The detection area 655 is an example of a target area. The exclusion image 990 is an example of an exclusion image.

The present embodiment has been described above, but the technical scope of the present invention is not limited to the scope described in the above-mentioned embodiment. It is clear from the claims that various modifications and improvements to the above-mentioned embodiment are also included in the technical scope of the present invention.

1... Infrared information processing system, 10... Terminal device, 30... Server device, 31... Image management unit, 33... Color palette setting unit, 35... 2D image display unit, 37... 3D image display unit, 39... Air gap/dew point detection unit

Claims (6)

an acquisition means for acquiring infrared data obtained from infrared rays emitted from a building structure;
an identification means for identifying a position within the building structure of an identification target, which is air or moisture present within the building structure, using the infrared data;
a display means for displaying an object image representing the specific object on a structure image representing the architectural structure;
Equipped with
The specifying means receives a designation of a position of a joint in the structure image using a grid-shaped exclusion image, and does not perform the specification in an area corresponding to the position of the exclusion image;
the display means displays the target image having a length in the thickness direction in accordance with the position identified by the identification means on the three-dimensional structure image having a thickness.
An infrared information processing system. the structure image is displayed using images of a plurality of layers corresponding to materials constituting the architectural structure;
2. The infrared information processing system according to claim 1, wherein said display means accepts a setting of display or non-display for each of the images of the plurality of layers of the structure image. 2. The infrared information processing system according to claim 1, wherein the identifying means identifies the position of the target using information on a plurality of materials constituting the architectural structure and thicknesses of the respective materials. acquiring infrared data obtained from infrared radiation emitted from a building structure;
Using the infrared data, a step of identifying a position within the architectural structure of an identified target, which is air or moisture present within the architectural structure;
a step of displaying an object image representing the specific object on a structure image representing the architectural structure;
a step of displaying the target image having a length in a thickness direction according to the identified position on the three-dimensional structure image having a thickness;
Equipped with
The step of specifying includes a step of accepting designation of a position of a joint in the structure image using a grid-shaped exclusion image, and not performing the specification in an area corresponding to the position of the exclusion image.
1. An infrared information processing method comprising: an acquisition means for acquiring infrared data obtained from infrared rays emitted from a building structure;
an identification means for identifying a position within the building structure of an identification target, which is air or moisture present within the building structure, using the infrared data;
a display means for displaying an object image representing the specific object on a display screen in addition to a structure image representing the architectural structure;
The specifying means receives a designation of a position of a joint in the structure image using a grid-shaped exclusion image, and does not perform the specification in an area corresponding to the position of the exclusion image;
the display means displays the target image having a length in a thickness direction in accordance with the position identified by the identification means on the three-dimensional structure image having a thickness.
1. An infrared information processing device comprising: On the computer,
A function to acquire infrared data obtained from infrared rays emitted from building structures;
A function of identifying the position of a specific target, which is air or moisture present inside the architectural structure, within the architectural structure using the infrared data;
a function of displaying an object image representing the specific object on a structure image representing the architectural structure;
a function of displaying the target image having a length in a thickness direction according to the specified position on the three-dimensional structure image having a thickness;
and
The function of specifying accepts designation of the position of the joint in the structure image using a grid-shaped exclusion image, and does not perform the specification in an area corresponding to the position of the exclusion image.
program.