JP2005016991A - Infrared structure diagnosis system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a diagnosis system for easily detecting the presence or absence, position, and size of a defective section, such as cracks and floating in a structure. <P>SOLUTION: The diagnosis system comprises an imaging section consisting of a digital camera for imaging the visible image of the structure to be diagnosed, an infrared camera for imaging thermal image, and a range finder for generating an electric signal according to the distance between both the cameras and the structure; and a processor that inputs a visible image from the imaging section, inputs the thermal image and a distance signal, displays a defective section specification screen in a plurality of modes for detecting the defect of the structure, and calculates the size and area of the defective section by tracing the defective section on the specification screen by a pointing device. Then, the diagnosis system comprises a mode for displaying the thermal image and the visible image side by side as the display mode of the defective section specification screen, a mode for displaying the thermal image and the visible image by overlapping them, and a mode for displaying only the visible image with resolution that is higher than other modes. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

[0001]
BACKGROUND OF THE INVENTION
The present invention relates to a system for diagnosing defects in buildings such as buildings and bridges, and more particularly to an infrared structure diagnostic system for diagnosing defects such as concrete and mortar lifting and cracking using infrared rays.
[0002]
[Prior art]
[Patent Document 1] JP-A-2001-50921
In recent years, the concrete of concrete structures such as tunnels and viaducts has deteriorated, and a part of the concrete has fallen off. For this reason, establishment of the nondestructive inspection method which can test | inspect the soundness of concrete exactly is calculated | required. As a nondestructive inspection method for concrete, infrared photography (thermography) using an infrared camera and digital photography using a digital still camera are known. These methods are excellent in terms of safety, simplicity, and high speed, and have been rapidly spread recently.
[0003]
Infrared photography (thermography) is a method of grasping the presence or absence and degree of defects from an image of a concrete surface by light in the infrared region. According to this infrared photography (thermography), it is possible to detect floating of concrete, mortar, tile, etc., and internal defects near the surface (for example, cavities, jumpers).
[0004]
Tile and mortar floating parts, junkers in concrete, cavities, water leakage parts, etc., where there are defects in the building, have different thermal properties such as thermal conductivity and specific heat from healthy parts. The difference in thermal properties between the healthy part and the defective part appears as a difference in surface temperature among the temperature fluctuations of the structure caused by the temperature, solar radiation, or artificial overheating / cooling. Infrared photography in the civil engineering / architecture field is a method of measuring the surface temperature distribution (thermal image) of an object using an infrared imaging device and estimating the presence of internal defects from surface temperature abnormalities appearing on the thermal image. is there.
[0005]
A principle diagram of defect detection by infrared photography is shown in FIG. That is, in this method, the defective portion 61 generated in the building 6 becomes a gap heat insulating layer, and the daily fluctuation of the surface temperature caused by the solar radiation and the temperature change causes the defective portion and the healthy portion as shown in FIG. This is a technique for detecting an internal defect by utilizing the time zone in which a surface temperature difference occurs between the part and the surface.
[0006]
Digital photography is a method for grasping the presence and extent of defects from an image of a concrete surface by light in the visible region. According to this digital photography method, it is possible to find cracks in concrete, mortar, tiles, and surface defects.
[0007]
However, the above-described conventional infrared photography and digital photography have the following problems.
[0008]
(1) In order to inspect and diagnose defects such as cracks and cavities, it is necessary to know the presence / absence of the defective part, the position of the defective part, and the size of the defective part. Even if it can be detected, it is difficult to measure its size.
[0009]
(2) In the case of digital photography, image distortion is unavoidable, so it takes time to identify which position of the actual building corresponds to the position of the defective portion specified on the image.
[0010]
(3) In addition, in the case of infrared photography, the outline of the building and the reference point do not appear on the image, so even if the defective part is specified, which part of the actual building corresponds to that part It takes time to identify.
[0011]
(4) When a building is a large building or the like, it is necessary to capture a large number of partial images and synthesize them, but the partial image captured from the front and the partial image captured from a certain angle are on the screen. Even if the size of the defect portion is the same, the size of the actual defect portion of the building is different, so it takes time to measure the size and shape of the defect portion.
[0012]
(5) In the method using digital photography or infrared photography individually, it is difficult to distinguish a defective part from a healthy part because there is only a display mode in which a captured image is simply displayed or enlarged or reduced. Is often accompanied.
[0013]
[Problems to be solved by the invention]
It is an object of the present invention to provide an infrared structure diagnostic system that solves the above-mentioned conventional drawbacks.
[0014]
Specifically, an object of the present invention is to provide an infrared structure diagnostic system capable of easily specifying the presence / absence, position and size of a defect such as a crack or a cavity of a structure.
[0015]
[Means for Solving the Problems]
To achieve the above object, the present invention provides a digital camera that captures a visible image of a structure to be diagnosed, an infrared camera that captures a thermal image of the structure, both the cameras, and the structure. An imaging unit comprising a distance meter that generates an electrical signal corresponding to the distance of the image, and a multi-mode defect unit for inputting a visible image, a thermal image, and a distance signal from the imaging unit to detect defects in the structure An infrared structure diagnostic system is configured from a processing device that displays a designation screen and traces a defect portion on the designation screen with a pointing device to calculate the size and area of the defect portion.
[0016]
Another feature of the present invention is that the mode for displaying the defective part designation screen includes a mode for displaying a thermal image and a visible image side by side on one screen of the display device.
[0017]
Another feature of the present invention is that a mode for displaying a defective portion designation screen includes a mode in which a thermal image and a visible image are superimposed and displayed on one screen of a display device.
[0018]
Another feature of the present invention is that it has means for changing the display ratio of the visible image and the thermal image to be superimposed in the superimposed display mode.
[0019]
Another feature of the present invention is that a mode for displaying the above-described defective portion designation screen includes a mode in which only a visible image is displayed on one screen of the display device at a higher resolution than in the other modes. .
[0020]
Another feature of the present invention is that, in addition to the mode for displaying the defective portion designation screen described above, when the minimum display temperature and the maximum display temperature of the thermal image are set, an image of only the set temperature range is displayed. The mode is to include.
Other features and advantages of the present invention can be more clearly understood from the description of the following examples.
[0021]
DETAILED DESCRIPTION OF THE INVENTION
Hereinafter, a system configuration, a control program, and an operation method according to an embodiment of the present invention will be described in detail.
[0022]
(1) System configuration
FIG. 1 is a block diagram showing the configuration of an infrared structure diagnostic system according to the present invention. The system of the present invention includes an imaging unit 1, a pan / tilt head 2 and a processing device 5 such as a personal computer. The imaging unit 1 measures a digital camera 10 for capturing a visible image of the target structure, an infrared camera 11 for capturing a thermal image of the target structure, and the distance between the cameras 10 and 11 and the target structure. A laser rangefinder 12 is provided.
[0023]
As the digital camera 10, for example, a digital still camera having an effective pixel number of about 6.1 megapixels (3026 × 2018) can be used. As the infrared camera 11, for example, a commercially available infrared camera having a measurement temperature range of −20 ° C. to 100 ° C. and an image data pixel number of about 320 (H) × 240 (V) dots can be used. As the laser rangefinder 12, for example, a commercially available laser rangefinder having a measurement range of 0.3 m to 100 m and a measurement accuracy of about ± 3 to 5 mm can be used. The image information of the digital camera 10 and the infrared camera 11 and the distance data of the laser rangefinder 12 are supplied to the processing device 5 such as a personal computer via the interface circuit 4.
[0024]
The digital camera 10, the infrared camera 11, and the laser rangefinder 12 are housed in the housing of the imaging unit 1 and mounted on the pan / tilt electric pan head 2. The pan / tilt head 2 can be controlled by a normal personal computer, and a commercially available device having a horizontal swing angle (pan) of ± 130 ° and a vertical swing angle (tilt) of about ± 45 ° is used. be able to. The pan / tilt head 2 and the interface circuit 4 including the battery are mounted on a tripod 3 for use.
[0025]
On the other hand, as the processing apparatus 5, for example, a normal personal computer having a color monitor with a memory of 512 MB or more, a hard disk capacity of 2 GM or more, and a monitor resolution of 640 × 480 dots or more can be used. The processing device 5 includes a CPU (central processing unit) 51, a ROM (fixed storage device) 52 for storing programs and the like, and a RAM (random access storage device) 53 for temporarily storing data from the imaging unit 1 and data being executed. , A keyboard 54, a display device 55, an interface circuit 56 that transmits and receives data to and from the imaging unit 1, and a hard disk device 57.
[0026]
Next, the function of the system of the present invention will be described with reference to FIG.
The thermal image and visible image data and distance data of the diagnostic target structure 6 including the defect 61 such as a crack or a cavity are captured by the imaging unit 1. A horizontal swing angle and a vertical swing angle of the pan / tilt head 2 in the imaging unit 1 are controlled by a processing device 5 by remote control. Data taken into the imaging unit 1, that is, data relating to a thermal image, a visible image, and distance data is sent to the processing device 5. The processing device 5 has a photographing system section program described later in the ROM 52 (FIG. 1), and corrects a thermal image and a visible image by executing this program. In addition, an image displaying only data in a specific temperature range from a thermal image (hereinafter abbreviated as a thermal ISO display image) is generated, or an image obtained by superimposing a thermal image and a visible image (hereinafter abbreviated as an overlap image). ) And stored in the image data file 57A of the HDD device 57 or the like. The corrected image, the infrared ISO display image, and the overlap image are presented to the diagnostician 7, and the diagnostician designates the defect portion with a pointing device such as a mouse while viewing these images. For example, in the case of a crack, the mouse is traced on the top, and in the case of a cavity, an operation is performed in which the mouse traces the boundary between the healthy part and the cavity. The imaging system program calculates the length and size of the defective portion, saves the defective portion data in the defective portion data file 57B of the HDD device 57, and presents the length and area of the defective portion to the diagnostician 7.
[0027]
Next, software used in the system of the present invention will be described.
The software of the system of the present invention is roughly divided into a program for the photographing system unit and a program for the image editing system unit. FIG. 4 shows the processing flow of the photographing system section program, and FIGS. 5, 6 and 19 show the processing flow of the image editing system section program. Each processing flow will be described below.
[0028]
(2) Shooting system section program
First, when the system is started, a control screen as shown in FIG. 7 appears. Of course, this screen is merely an example, and the present invention is not limited thereto. In the display area 301 of the screen, the measurement result of the distance between the imaging unit 1 of the present system and the target structure 6 is displayed in real time. In the display area 302, the horizontal angle and the elevation angle are displayed in real time as the shooting angles of the cameras 10 and 11. In the display area 303, setting information of the measurement temperature range, the type of infrared lens, the temperature level, and the sense sensitivity is displayed as control information of the infrared camera 11. The display area 304 displays the screen size and the type of visible lens as control information of the visible camera. When the shooting data input start button 305 is clicked on this control screen, a real-time image of a thermal image 310 and a visible image 311 as shown in FIG. 8 is displayed. For the image displayed on this screen, the system requests image data from the digital camera 10 and infrared camera 11 at regular time intervals, and the transmitted data is displayed on the display device 55 as it is (step 100 in FIG. 4).
[0029]
When the pan / tilt head 2 is manually moved while viewing the screen, or the pan / tilt head is moved based on a control signal from the processing device 5, the object to be photographed is determined and the shutter button 312 is pressed, the digital camera 10 and the infrared camera 11 are moved. Are captured and stored in the RAM 53 of the processing device 5 (step 106 in FIG. 4). On this screen, a lens aberration correction button 313, a parallax correction button 314, and a defect portion designation button 315 are prepared, and a lens aberration correction, a parallax correction, and a transition to a defect portion designation screen can be executed as described below. .
[0030]
(A) Lens aberration correction
When the lens aberration correction button 313 in FIG. 8 is pressed, lens distortion correction processing (step 101 in FIG. 4) of the captured image is executed, and the corrected image is displayed in the display areas 310 and 311 in FIG. This is a process for correcting distortion called camera lens distortion, an example of which is described in Japanese Patent Application No. 2002-379548. That is, the above distortion aberration is a phenomenon in which an image after imaging is distorted in a barrel shape, and a process called affine transformation is performed to correct this. This affine transformation is a method of moving or transforming figures and shapes by a combination of Euclidean geometric linear transformation and parallel movement, and can be represented by 4 × 4 matrix operations. Shear's coordinate transformation. This affine transformation is a transformation method in which geometric properties are maintained such that points arranged in a straight line in the original figure are arranged in a straight line after conversion, and parallel lines are parallel lines after conversion. Therefore, if the lens distortion characteristics (lens aberration characteristics) are collected as data and stored in the ROM 52 of the arithmetic processing unit 5 or the like, an image obtained by removing distortion due to lens aberrations by the CPU 51 is calculated. Can be obtained. The corrected data is stored in the image data file 57A in the memory 57 of the processing device (step 107 in FIG. 4).
[0031]
(B) Parallax correction
Next, when the parallax correction button 314 is pressed on the screen of FIG. 10, parallax correction processing (step 102 of FIG. 4) is executed. This parallax correction is described in detail in Japanese Patent Application No. 2002-379548 of the prior application. That is, in the imaging unit 1 in this system, since the digital camera 10 and the infrared camera 11 are housed side by side in the housing, a deviation occurs between the shooting range of the digital camera 10 and the shooting range of the infrared camera 11. This deviation is called parallax.
[0032]
As an example, consider a case where a digital camera 10 and an infrared camera 11 are arranged side by side as shown in FIG. Assume that the camera lens angle is 30 ° in the horizontal direction and 20 ° in the vertical direction. Also, assuming that the amount of horizontal displacement between the digital camera 10 and the infrared camera 11 is 10 cm, for example, when shooting an object 50 cm in front of the lens, the length of the horizontal shooting range is 26.8 cm, which is vertical. The length of the shooting range in the direction is 17.6 cm. In this case, it can be seen that the amount of positional deviation (10 cm) of the camera in the horizontal direction is a large ratio of 37.3% with respect to the length of the shooting range in the horizontal direction of 26.8 cm. Hereinafter, this ratio (%) is referred to as a parallax amount (ratio of image displacement with respect to the entire photographing range).
[0033]
On the other hand, when the distance to the subject is 5 m, the length of the horizontal shooting range is 2.68 m, and the length of the vertical shooting range is 1.76 m. In this case, the amount of parallax of the horizontal camera position deviation (0.1 m) is 3.73% relative to the length of the horizontal shooting range of 2.68 m, and the value of the amount of parallax is relative. You can see that it is small.
[0034]
That is, the influence of the positional deviation between the digital camera 10 and the infrared camera 11 varies depending on the distance to the subject, and is very large when the object to be photographed is close, but almost when photographing a distant object. Can be ignored.
[0035]
Assuming that the positional deviation length between the digital camera 10 and the infrared camera 11 is d and the shooting range in the horizontal direction is A1, the parallax amount P can be calculated by the following equation (1). This calculation is executed by the CPU 51.
P (%) = (d / A1) × 100 (1)
When two cameras with the same lens angle in the horizontal direction and the same lens angle in the vertical direction are arranged in parallel and a subject is photographed in the same direction, the image taken by one of the two cameras is By moving in the direction by the amount of the parallax, the images captured by the two cameras can be superimposed and the matched images can be synthesized.
[0036]
(C) Display of defect designation screen
When the defective portion designation screen button 315 is pressed from any of the lens aberration correction screen and the parallax correction screen shown in FIGS. 8 and 10, three defective portion designation screens prepared for designating the defective portion may be displayed. it can.
[0037]
The first defect portion designation screen is an infrared / visible image defect portion designation screen in which a thermal image is displayed in the display area 310 and a visible image is displayed in the display area 311 as shown in FIG.
[0038]
The second defect portion designation screen is an overlap image defect portion designation screen in which a visible image and a thermal image are superimposed and displayed in one display area 330 as shown in FIG. By moving the scroll bar 320 on this screen, the display density ratio of the thermal image and the visible image to be superimposed can be made variable.
[0039]
The third defective portion designation screen is a photographed current image defective portion designation screen, and is a mode in which only a visible image is displayed in the display area 340 at the resolution at the time of photographing as shown in FIG. That is, in order to investigate cracks on the surface of the structure to be diagnosed, a visible image with a high resolution is used to easily indicate a defective portion. The diagnostician designates a defective portion such as a crack or a cavity using a point device such as a mouse while viewing these three screens. Defects specified on one screen are also reflected on the other two screens in real time. The information specifying the defective portion and the information on the defective portion are stored while being linked (step 109).
[0040]
(D) ISO display
When the ISO display button 318 is pressed on the display screen of FIG. 14, the screen transitions to the screen shown in FIG. By moving scroll bars 351 and 352 on this screen, the minimum display temperature and the maximum display temperature of the thermal image are set. When this temperature is set, an image only in the set temperature range is displayed in color on the display area 350.
[0041]
(E) Quantity integration
Next, in step 104 of FIG. 4, the length of the crack is determined by the diagnostician tracing the part recognized as a defective part such as a crack or a float on the defective part designation screen with a pointing device such as a mouse. However, in the case of floating (cavity), the area is automatically calculated by the CPU 51. This automatic calculation method is described in detail in Japanese Patent Application No. 2002-379548.
[0042]
That is, the laser distance meter 12 measures the distance between the measurement object and the laser distance meter 12 in real time and outputs the distance to the arithmetic processing unit 5. Thereby, the CPU 51 of the arithmetic processing unit 5 calculates the distance L between the measurement object and the digital camera 10 in real time and stores it in the RAM 54 or the like.
[0043]
An angle θ1 shown in FIG. 16 represents the horizontal lens field angle of the digital camera 10 (an angle between both ends of the image). The lens angle of view θ1 is a known value of the digital camera 10 and is stored in the ROM 52 of the arithmetic processing unit 5.
[0044]
The distance A1 shown in FIG. 16 is a value indicating the maximum horizontal range that the digital camera 10 can capture when the distance is L. This distance A1 can be calculated by the following equation (2) from the above-described distance L and lens angle of view θ1. This calculation is executed by the CPU 51 of the arithmetic processing unit 5.
A1 = 2L × tan (θ1 / 2) (2)
On the other hand, an image captured by the digital camera 10 is composed of pixels, and the number of pixels m in the horizontal direction and the number of pixels n in the vertical direction are known values. In this case, the image captured by the digital camera 10 is composed of a set of m × n pixels.
[0045]
Accordingly, in this case, the distance A1 in the horizontal photographing range of the measurement object corresponds to m pixels on the image in the digital camera 10. For this reason, one pixel in the horizontal direction is at a distance A1 in the horizontal shooting range of the measurement object.
a1 = A1 / m (3)
It corresponds to the distance a1 represented by the following.
[0046]
For example, when the measurement object is a concrete surface and the horizontal distance (horizontal length) of the defective portion (subject) is D1 in FIG. 16, the horizontal direction on the image of the digital camera 10 is The number of pixels is detected. When the number of pixels is 5, the value of D1 can be calculated by calculating 5 × a1. This calculation is executed by the CPU 51 of the arithmetic processing unit 5.
[0047]
In exactly the same manner as described above, the distance or length of the subject in the measurement object of the digital camera 10 in the vertical direction (direction perpendicular to the above-described A1) is also the vertical direction on the image of the digital camera 10. It can be calculated from the number of pixels. In this case, when the vertical lens angle of view of the digital camera 10 is θ2, the distance of the vertical shooting range of the measurement object is calculated by substituting θ2 instead of θ1 in the above (2). be able to. This calculation is executed by the CPU 51 of the arithmetic processing unit 5.
[0048]
In the same manner as described above, the horizontal distance or length of the subject on the measurement target of the infrared camera 11 and the vertical distance or length of the subject on the measurement target of the infrared camera 11 are also infrared. It can be calculated from the number of pixels in the horizontal direction on the image of the camera 11 or the number of pixels in the vertical direction. This calculation is executed by the CPU 51 of the arithmetic processing unit 5.
[0049]
Through the arithmetic processing as described above, it is possible to calculate the actual length, width, area, and the like of a defect imaged by the digital camera 10 or the infrared camera 11, for example, concrete float and crack.
[0050]
As shown in FIG. 17, serial numbers are assigned to the cracks and floats of the defective portion recognized as described above, and length and area data are aggregated and stored in the RAM 53 of the arithmetic processing unit 5. (Step 110).
[0051]
(3) Image editing program
Next, a processing flow of image editing of a visible image and a thermal image taken on site using the apparatus of the present invention will be described.
[0052]
For example, when performing a deterioration diagnosis of a large building, the tripod 3 is installed at a predetermined location near the building, and the pan / tilt device 2 is controlled so that partial images of the building are taken into the processing device 5 one after another. The captured image is subjected to processing such as lens distortion correction and parallax correction as described above, and the following image editing processing is performed in order to obtain data for presentation to the diagnostician.
[0053]
FIG. 5 is a processing flow showing a procedure for editing a visible image. First, in step 401, so-called thumbnail display is performed in which a list of a large number of captured images is displayed on a small screen. Then, the captured image file is imported (step 402).
[0054]
Next, in step 403, individual images are zoomed and the size of each image is changed (step 404). Further, the rotation angle of the image is corrected for each object to correct the rotation of each image (step 405).
[0055]
Further, in step 406, the tilt of the image (the sense of closeness of the image taken from an angle) is corrected. As shown in FIG. 18, when the structure 6 is photographed from the camera 10, the distance L from the camera 10 and the angle θ are different even if, for example, windows 60, 62, and 64 having the same size exist in the structure 6. The images are taken as different sizes on the image. Therefore, even if there is a defective part of the same size at the front and corners of the building, they are displayed as different sizes. Therefore, it is necessary to correct the tilt of the image in order to display an image similar to the design drawing of the building. In the system of the present invention, since there is data on the distance from the camera to the building 6, the above correction is very easy. That is, in the example of FIG. 18, the screen may be corrected so that a1 and a2 in the following expressions (4) and (5) have the same size.
a1 = tan (θ1 / 2) · L1 (4)
a2 = tan (θ2 / 2) · L2 (5)
Next, in steps 407 and 408, the brightness, contrast, gamma value, and sharpness of the image are adjusted for each object, and the objects are further moved (step 409) and combined to form a single image (step 410). ). Further, the image is trimmed (step 411), and the drawing and the visible image are synthesized by designating a point where the drawing matches the image (step 412).
[0056]
On the other hand, image editing of a thermal image is executed according to the processing flow shown in FIG. In the figure, the processing in steps 501 to 506 is the same as the processing in steps 401 to 406 in FIG. In step 507, the gain and center temperature of the thermal image are adjusted. In the next step 508, only the predetermined temperature range is displayed in color, and the others are displayed in gray scale as in the above-described photographing unit system program. Thereafter, each object is moved (step 509), and these are combined into one image (step 510). Then, the image is trimmed (step 511), and the drawing and the image are synthesized by designating a point where the drawing of the building coincides with the image.
[0057]
FIG. 19 shows a processing flow of the entire image editing program in the system of the present invention. In the figure, step 201 shows the process of creating a visible image layer, and the specific content is the process of FIG. That is, if steps 202, 203, and 204 in FIG. 18 are embodied, the processing in steps 401 to 412 in FIG. 5 is performed, and finally, composite data of the drawing of the building and the visible image is generated and stored in a file ( Step 205).
[0058]
Further, step 206 shows a process of creating a thermal image layer, and the specific content is the process shown in FIG. That is, if steps 207, 208, and 209 in FIG. 19 are embodied, the processing in steps 501 to 512 in FIG. 6 is performed, and finally, the combined drawing and thermal image data of the building is generated and saved in a file ( Step 210).
[0059]
Next, in step 211, the visible image and the thermal image generated as described above are displayed, and their length is determined by tracing a defect portion such as a crack, a float, or a cavity on the image with a pointing device such as a mouse, The areas are integrated (step 212) and stored in a file format that can be viewed with appropriate software (step 213). The image data edited as described above is stored in the RAM 53 or the HDD device 57 of the processing device 5 in FIG. 1 and can be displayed on the display device 55 as necessary. For example, as shown in FIG. 20, when there are a crack 361 and a float 362 in the building, No. 1 in FIG. 2 and no. 8 is stored in the memory together with the length and area data such as 8 in the deterioration integrated table, and the length 552 mm of the crack 361 is blue as shown in the display areas 363 and 364 of the screen of FIG. 32013mm ² Is displayed in red. Therefore, it becomes possible to recognize a defective part at a glance from this screen.
[0060]
Although one embodiment of the present invention has been described above, the present invention is not limited to this embodiment, and some functions may be changed or added without changing the basic technical idea. It is included in the scope of the invention. For example, it is easy to add a function of not only displaying a defective portion such as a crack or a float on a display device but also creating a report that prints this and presents it to a customer. This report may include image information such as a visible image and a thermal image, information indicating the location of the defective portion, and data such as the length and area of the defective portion as desired.
[0061]
【The invention's effect】
The infrared structure diagnostic system of the present invention described above includes an imaging unit and a processing device. The imaging unit includes an infrared camera that captures a thermal image, a digital camera that captures a visible image, both cameras, and a structure to be diagnosed. A laser rangefinder for measuring the distance between the image pickup unit and the image pickup unit is mounted on a pan / tilt device capable of swinging the viewing angle in the horizontal and vertical directions. Since image information and distance information are input and the image information is corrected by distance information and angle information, it becomes easy to correct and synthesize the image distortion, and to detect defects such as cracks and floating in the structure. The presence / absence, position, size, and area can be easily detected.
[Brief description of the drawings]
FIG. 1 is a block diagram showing a configuration of an infrared structure diagnostic system according to the present invention.
FIG. 2 is a diagram for explaining the principle of defect detection by infrared photography.
FIG. 3 is an explanatory diagram for explaining functions of the system of the present invention.
FIG. 4 is a processing flow diagram of a shooting system section program used in the system of the present invention.
FIG. 5 is a processing flow diagram of a visible image of an image editing system section program used in the system of the present invention.
FIG. 6 is a thermal image processing flowchart of the image editing system section program used in the system of the present invention.
FIG. 7 is an explanatory diagram of an initial screen by an imaging system unit program.
FIG. 8 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 9 is an explanatory diagram of parallax correction in the system of the present invention.
FIG. 10 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 11 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 12 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 13 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 14 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 15 is an explanatory diagram of a display screen in the system of the present invention.
FIG. 16 is an explanatory diagram of quantity integration of defective portions in the system of the present invention.
FIG. 17 is an explanatory diagram showing an example of totaling defective portion data in the system of the present invention.
FIG. 18 is an explanatory diagram of tilt correction in the system of the present invention.
FIG. 19 is an overall process flow diagram of an image editing system section program used in the system of the present invention.
FIG. 20 is an explanatory diagram of a display screen in the system of the present invention.
[Explanation of symbols]
1: Imaging unit
2: Pan tilt head
3: Tripod
4: Interface circuit
5: Processing device
6: Structure to be diagnosed
10: Digital camera
11: Infrared camera
12: Laser distance meter
51: CPU
52: ROM
53: RAM
54: Keyboard
55: Display device
56: Interface circuit
57: HDD device

Claims (6)

A digital camera that captures a visible image of a structure to be diagnosed, an infrared camera that captures a thermal image of the structure, and a distance meter that generates an electrical signal in accordance with the distance between the cameras and the structure; An image pickup unit, a visible image, a thermal image, and a distance signal from the image pickup unit are input, and a defect mode designation screen in a plurality of modes for detecting defects in the structure is displayed. An infrared structure diagnostic system comprising: a processing device that calculates the size and area of a defective portion by tracing a portion with a pointing device. The infrared structure diagnostic system according to claim 1, wherein the mode for displaying the defective portion designation screen includes a mode for displaying the thermal image and the visible image side by side on one screen of the display device. 2. The infrared structure diagnostic system according to claim 1, wherein the mode for displaying the defective portion designation screen includes a mode in which a thermal image and a visible image are superimposed and displayed on one screen of the display device. 4. The infrared structure diagnostic system according to claim 3, further comprising means for changing a display ratio of the visible image and the thermal image to be superimposed. The infrared structure diagnosis according to claim 1, wherein a mode for displaying a defective portion designation screen includes a mode in which only a visible image is displayed at a higher resolution than in other modes on one screen of a display device. system. The infrared structure diagnostic system according to claim 1, further comprising: a mode for displaying an image of only a set temperature range when the minimum display temperature and the maximum display temperature of the thermal image are set.

Images