KR101396806B1 - System And Method For Predicting Defects Of Installing Insulation Using Image Processing - Google Patents

Abstract

The present invention relates to a system and method for predicting a heat insulation installation defect by using image processing, which comprises a terminal for photographing and transmitting an image of heat insulation applied with at least one adhesive, The area and the center of gravity of the applied adhesive are analyzed by analyzing the image, the area and the center of gravity of the adhesive after compression are calculated by using the area and the center of gravity of the applied adhesive, and the area and weight And comparing the center with the reference area and the reference center of gravity to predict whether or not the defect will occur after the heat insulating material is installed.

Description

Technical Field [0001] The present invention relates to a system and method for predicting the installation of an insulation material using image processing,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a system and method for predicting defects in installation of an insulation material using image processing, and more particularly to an image processing method for analyzing an image taken of a heat- And a recording medium therefor. 2. Description of the Related Art

The need to improve the insulation performance of buildings has been emphasized with increasing energy usage for cooling. The heat insulation method can be divided into an external heat insulating method for adhering a heat insulating plate to the outside of a building wall and an internal heat insulating method for adhering a heat insulating plate to the inside of a building wall. In particular, recently, Is attracting attention.

In addition to the increase in the application of the insulation method, construction defects such as cracks, contamination and dropouts of the mounting plate are increasing due to insufficient workability of the worker and poor construction. As a type of construction defects, there is the separation and cracking of the insulation, and the finishing material pollution. Among them, the deterioration of the insulation is the biggest damage, and the quality control is required during the construction process.

It is difficult to know the amount of adhesive and the defective position of adhesive after insulation is adhered, and it is difficult to identify the cause of defective after completion of the construction. Even if it is revealed, there is no complementary treatment method other than the method of removing the cause of fundamental defect such as re-work, which causes a problem of air delay and construction cost increase.

As a method to proactively manage construction defects, a method of strengthening contract clauses, strengthening on-site worker training, or a method of increasing surveillance personnel has been proposed, but this is merely an indirect quality control method for the final product, There is a limit.

Disclosure of the Invention The present invention has been conceived in order to solve the above-mentioned problems, and it is an object of the present invention to provide an image processing apparatus, an image processing method, A system and method, and a recording medium therefor.

According to an aspect of the present invention, there is provided a display device including a camera module for photographing an image of a heat insulating material applied with at least one adhesive, and a display module for displaying an area to which an adhesive is applied, A terminal; A meter for measuring the weight of the adhesive; And a defect predicting device for predicting whether or not a defect has occurred after the installation of the heat insulator, wherein the defect predicting device is a device for predicting whether or not a defect is generated by transferring a measured image of the heat insulator coated with at least one adhesive and a measured weight of each of the at least one adhesive A data receiving module for receiving the data; An image processing module for analyzing the image stored in the data receiving module and detecting the heat insulating material and the adhesive; (X, y) coordinates of the at least one adhesive detected in the image processing module, and dividing the number of divided pixels by the sum of the number of divided pixels to determine the area of the detected adhesive And extracting the center of gravity of the detected adhesive by obtaining an average of the x-coordinate and the y-coordinate of the divided pixels, respectively. The area and the center of gravity of the detected adhesive are used to calculate the area of the adhesive after compression, Calculating a center of gravity of the adhesive, and comparing the weight of the transferred adhesive with a reference weight, and outputting the area of the adhesive after pressing; Calculating a difference value between an area and a center of gravity of the adhesive after compression calculated in the comparison object calculating module with respect to a reference area and a reference center of gravity, and determining at least one of the difference values for at least one adhesive as an error range And a defective judgment module which judges that defects occur after installation of the heat insulating material when the value obtained by subtracting the difference value or deviating from the accumulated value of the difference values is out of the tolerance range.

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The defect predicting device can calculate the area ratio of the heat insulator and the applied adhesive from the transmitted image and extract the area of the applied adhesive using the pre-stored standard of the heat insulator.

According to another aspect of the present invention, there is provided a data receiving apparatus, comprising: a data receiving module for receiving and storing an image of a heat insulating material coated with at least one adhesive and a measured weight of each of at least one adhesive; An image processing module for analyzing the image stored in the data receiving module and detecting the heat insulating material and the adhesive; (X, y) coordinates of the at least one adhesive detected in the image processing module, and dividing the number of divided pixels by the sum of the number of divided pixels to determine the area of the detected adhesive And extracting the center of gravity of the detected adhesive by obtaining an average of the x-coordinate and the y-coordinate of the divided pixels, respectively. The area and the center of gravity of the detected adhesive are used to calculate the area of the adhesive after compression, Calculating a center of gravity of the adhesive, and comparing the weight of the transferred adhesive with a reference weight, and outputting the area of the adhesive after pressing; Calculating a difference value between an area and a center of gravity of the adhesive after compression calculated in the comparison object calculating module with respect to a reference area and a reference center of gravity, and determining at least one of the difference values for at least one adhesive as an error range A defective judgment module which judges that defects are generated after installation of the heat insulating material when the value obtained by subtracting or accumulating the difference values out of the error range is deviated; And a display unit for displaying a region to which the adhesive is applied, which is predicted to cause defects after installation of the heat insulating material in the transmitted image of the terminal, and a display unit for predicting the heat insulating material installation defect using the image processing.

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The comparison target calculation module can calculate the area ratio of the detected heat insulating material and the applied adhesive, and extract the area of the applied adhesive using the pre-stored standard of the heat insulating material.

The apparatus for predicting the installation of a heat insulating material using image processing may further include an input unit for inputting a standard of insulation, a reference area of the adhesive after compression, and a reference center of gravity.

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According to another aspect of the present invention, there is provided a method for predicting a defect of a heat insulator using image processing, the method comprising the steps of: (a) receiving an image of a heat insulator coated with at least one adhesive; (b) analyzing the input image to detect a heat insulator and an adhesive, respectively; (c) extracting an area and a center of gravity of the detected adhesive; (d) calculating an area and a center of gravity of the adhesive after the pressing using the area and the center of gravity of the extracted adhesive, and re-calculating the area of the adhesive after the pressing using the result of comparing the weight of the transferred adhesive with the reference weight step; (e) comparing the area and the center of gravity of the adhesive after the pressing to the reference area and the reference center of gravity, respectively, to determine whether a defect has occurred after the thermal insulating material is installed; And (f) displaying a region of the transferred image that is predicted to cause defects after installation of the heat insulating material, wherein (c) comprises the steps of: (c-1) And dividing the inside of the edge into unit pixels and representing the divided pixels as (x, y) coordinates; (c-2) summing the number of divided pixels to extract an area of the detected adhesive; And (c-3) obtaining an average of the x-coordinate and the y-coordinate of the divided pixels, respectively, and extracting the center of gravity of the detected adhesive, wherein (d) Calculating an area change amount and a center-of-gravity change amount after the compression of the adhesive applied by the method; And (d-2) calculating an area and a center of gravity of the adhesive after the compression by converting the area and the center of gravity of the extracted adhesive by the calculated amount of change, and the step (e) 1) calculating a difference value for each of the applied adhesives by comparing the area and center of gravity of the adhesive after compression with the reference area and the reference center of gravity, respectively; And (e-2) at least one of the difference values of the calculated area and the center of gravity for at least one adhesive deviates from an error range, or the respective difference values are summed and the summed difference value is within an error range And determining that a defect occurs after the installation of the thermal insulation material when the thermal insulation material is out of the thermal insulation material.

The step (b) includes the steps of (b-1) binarizing the input image, (b-2) identifying an object by detecting an edge from the binarized image, and And (b-3) detecting the heat insulating material and the adhesive by comparing.

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According to the present invention, it is possible to predict the occurrence of defects in advance by previously analyzing the characteristics of the captured image of the heat-insulating material coated with the adhesive, and applying the analyzed characteristics to the defect prediction algorithm, There is an effect that can be prevented in advance.

In addition, labor costs can be reduced by automating the work process of applying an adhesive on the heat insulating material, and an area in which defects are to be generated is displayed, whereby an adhesive is additionally applied before the heat insulating material is installed.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a block diagram showing a first embodiment of a system for predicting a defect insulator installation using image processing according to an aspect of the present invention. FIG.
BACKGROUND OF THE INVENTION Field of the Invention [0001] The present invention relates to a heat insulation material installation defect prediction system using image processing according to an aspect of the present invention.
3 is a block diagram showing an apparatus for predicting a defect insulator installation using image processing according to another aspect of the present invention.
4 is a configuration diagram illustrating an embodiment of a terminal according to another aspect of the present invention.
5 is a flow chart illustrating an embodiment of a method for predicting the installation defect of an insulation material using image processing according to another aspect of the present invention.
6A and 6B are views for explaining a positional relationship between a heat insulating material and an adhesive for predicting a defect of a heat insulating material using image processing according to the present invention.
7 is a view showing an embodiment of a user interface of an apparatus for predicting the installation of a heat insulation material using image processing according to the present invention.

While the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the invention is not intended to be limited to the particular embodiments, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

The present invention will now be described in detail with reference to the accompanying drawings, in which like reference numerals refer to like elements throughout. In the description of the accompanying drawings, the same or corresponding components are denoted by the same reference numerals, and a duplicate description thereof will be omitted.

<Prediction system of insulation installation using image processing>

FIG. 1 is a block diagram illustrating a first embodiment of a system for predicting a defect according to an embodiment of the present invention. FIG. 2 is a block diagram illustrating a system for predicting a defect according to an embodiment of the present invention. Fig. 8 is a configuration diagram showing a second embodiment. Fig.

The configuration and function of the defect predicting apparatus 200 are the same as those of the defect predicting apparatus 200 using the image processing according to the first embodiment and the heat insulator installation predicting system 1000 using image processing according to the second embodiment And the configuration and function of the terminal 100 are somewhat different.

First, the common configuration and functions of the heat insulation material installation fault prediction system 1000 using the image processing according to the first and second embodiments will be described.

The heat insulation material installation fault prediction system 1000 using image processing includes a terminal 100 and a defect prediction apparatus 200 as shown in FIGS. 1 and 2, and further includes a meter 300 Lt; / RTI &gt;

The terminal 100 includes a camera module 110 and a display module 120.

The terminal 100 captures an image of the heat insulating material A coated with at least one adhesive B with the camera module 110 and transmits the image to the defects predicting device 200, And displays on the display module 120 whether or not a defect has occurred.

The defect predicting apparatus 200 analyzes an image transmitted from the terminal 100, extracts specific parameters from the image, and applies a specific parameter to the defect prediction algorithm to predict whether or not a defect has occurred after the heat insulator is installed.

Specifically, the area and center of gravity (center of gravity coordinates) of the applied adhesive extracted through image analysis can be a specific parameter.

In the image analysis, after the thermal insulator and adhesive are detected from the photographed image, the size of the photographed image is enlarged or reduced so that the size of the detected thermal insulator coincides with the standard thermal insulator size.

The defect prediction algorithm is a method of calculating the area and center of gravity of the adhesive after compression by subtracting the changed amount of the applied adhesive and the center of gravity after the pressing (after installing the insulating material) And a second step of comparing the reference area with the reference center of gravity to determine whether a defect has occurred.

First, the first step of calculating the area and the center of gravity of the adhesive after compression is calculated using at least one of statistical methods and image processing methods. It is generally assumed that the size of the heat insulating material is normalized and the adhesive mixture ratio is constant.

For example, the size of the insulation is standardized to 600 × 1200 (600 mm length, 1200 mm width), and the thickness (T) can be variously changed. The adhesive is a mixture of at least one of cement, sand, adhesive and water at a certain ratio and is assumed to be mixed at a specific gravity.

The statistical method is a method of estimating the area change of the adhesive and the change of the center of gravity after the compression of the sample group by the area change amount and the center of gravity change of the adhesive after compression of the mother group according to the confidence interval.

The image processing method is a method of estimating the shape of the adhesive after compression from the shape of the applied adhesive which is photographed in three dimensions, assuming that the thickness of the adhesive after pressing is constantly changed, and estimates the adhesive area change amount and the center of gravity change amount after compression Method.

In addition, the area variation and the center-of-gravity variation can be estimated by mixing the statistical method and the image processing method.

Next, the second step of determining whether defects have occurred may be determined independently for each of the applied adhesives or may be determined by synthesizing the adhesive applied on one insulating material.

The defect predicting device 200 calculates the area and the center of gravity of the adhesive after pressing the respective at least one adhesive (B), compares the area and the center of gravity of the adhesive after compression with the reference area and the reference center of gravity, It can be predicted independently that defects occur when the insulation is out of the error range.

That is, when the area after compression and the reference area are compared with each other for eight adhesives, and the center of gravity and the reference center of gravity are compared with each other after compression, if at least one of the area or the center of gravity is out of the error range, It is predicted that defects will occur.

The defect predicting device 200 calculates the area and the center of gravity of the adhesive after pressing for each of the at least one adhesive (B), compares the area and the center of gravity of the adhesive after compression with the reference area and the reference center of gravity, It can be predicted that if the accumulated value of each difference value deviates from the error range, defects are generated after the installation of the heat insulating material.

In other words, the cumulative value of the area after pressing and the difference of the reference area for eight adhesives, and the cumulative value of the difference between the center of gravity and the reference center of gravity after compression, are within the error range. Of the heat insulation material is expected to be defective after installation.

Here, the reference area and the reference center of gravity are preset in the apparatus for predicting the flaw 200, and the reference area and the reference center of gravity can be changed by the user's input. The reference center of gravity is determined on the assumption that the insulation plane is an xy plane.

In the case where the defect inspecting system 1000 using image processing further includes a meter 300 for measuring the weight of the adhesive, the defect predicting apparatus 200 receives the measured adhesive weight, The results of the comparison with the weight can be used to estimate the area of the adhesive after compression.

The area of the adhesive after compression is calculated based on the weight of the adhesive when the specific gravity of the adhesive is constant.

The defect predicting apparatus 200 can calculate the area ratio of the heat insulating material A and the applied adhesive B from the transferred image and extract the area of the applied adhesive using the pre-stored standard of the heat insulating material.

The difference between the first embodiment and the second embodiment is that the function of the display module 120 is somewhat different whether the camera module 110 and the display module 120 are integrally formed.

First, according to the first embodiment, the camera module 110 and the display module 120 of the terminal 100 can be integrally formed. The camera module 110 and the display module 120 in which the camera module 110 and the display module 120 are integrally formed are fixed to the upper portion of the heat insulating material A and the display module 120 includes a laser pointer .

The camera module 110 transmits an image of the heat insulating material A coated with the adhesive B on the upper portion thereof to the defect prediction device 200 and the display module 120 displays the image after the heat insulating material is installed from the defect prediction device 200 The coordinates of the area where the adhesive agent is expected to be transmitted is received and the area where the adhesive corresponding to this coordinate is indicated by the laser pointer is indicated by the installation of the thermal insulating material. have.

According to the second embodiment, the camera module 110 and the display module 120 of the terminal 100 are physically separated and formed to exchange only electrical signals. Therefore, the camera module 110, the defect prediction apparatus 200, and the display module 120 must be able to transmit and receive electrical signals to and from different components.

The camera module 110 is fixed on one side of the worker's helmet so that the operator can photograph the process of applying the adhesive on the heat insulating material. The display module 120 overlaps the photographed image, Or display only the occurrence of a defect in real time after transmitting the photographed image.

Hereinafter, the components of the apparatus for predicting the installation of the heat insulation material using the image processing and the terminal will be described in detail.

<Prediction device for insulator installation using image processing>

3 is a block diagram showing an embodiment of an apparatus for predicting a heat insulation material installation using image processing according to another aspect of the present invention.

3, the apparatus for predicting heat insulation installation using image processing 200 includes a data receiving module 210, an image processing module 220, a comparison object calculation module 230, A determination module 240, and may further include an input unit 150 or a display unit 260.

The apparatus for predicting the thermal insulation installation failure 200 using the image processing according to the present embodiment includes not only a case where a part for photographing an image is separated from the outside of the apparatus but also a case where the part is provided inside, Device.

The data receiving module 210 receives and stores an image of the heat insulating material coated with at least one adhesive. The data receiving module 210 can directly photograph the heat insulating material coated with at least one adhesive and store the photographed image. The image includes both 2D or 3D still images or moving images.

The image processing module 220 analyzes the image stored in the data receiving module 210 to detect the heat insulating material and the adhesive.

Specifically, the image processing module 220 classifies the photographed image into frames, binarizes the image of each frame, and detects an edge of the object.

In the case where the camera module is fixed to the work model, since the images obtained by classifying the captured images in frame units can be captured as distorted images according to the movement of the operator, a process of standardizing the captured images is indispensable.

For example, an object matching the previously stored shape of the heat insulating material is detected with an insulating material, an object matching the adhesive shape is detected with an adhesive, and the heat insulating material region photographed with the stored standardized thermal insulating material size is corrected. So that the photographed image can be standardized.

In addition, the image processing module 220 may include an image processing algorithm for automatically correcting the illuminance and the light amount for the image taken in consideration of the outdoor environment, in which the heat insulating material coated with the adhesive is taken into consideration.

The comparison object calculation module 230 extracts the area and the center of gravity for the adhesive detected by the image processing module 220 and calculates the area and center of gravity of the adhesive after the pressing using the extracted area and center of gravity.

First, the comparison object calculation module 230 calculates the area ratio of the detected heat insulating material and the applied adhesive, and extracts the area of the applied adhesive using the pre-stored standard of the heat insulating material.

At this time, the comparison object calculation module 230 can calculate the area ratio of the heat insulating material and the applied adhesive using the consumption of the photographed image. Accordingly, the area of the adhesive can be calculated by calculating the area ratio of the thermally insulated material and the applied adhesive irrespective of the position where the heat insulating material coated with the adhesive is photographed.

Next, the area and the center of gravity of the adhesive after the insulation is installed, that is, after the applied adhesive is pressed, can be calculated using at least one of the statistical method or the image processing method described above.

Since the statistical method or the image processing method has been described in detail in the foregoing, description thereof will be omitted.

When the measured weight of each of the at least one adhesive is transmitted together with the image taken by the data receiving module 210, the comparison object calculating module 230 calculates the weight of the adhesive by using the result of comparing the weight of the adhesive with the reference weight, Adhesive area can be reassessed.

The defect determination module 240 compares the area and center of gravity of the adhesive after compression calculated by the comparison object calculation module 230 with the reference area and the reference center of gravity, respectively, to determine whether or not a defect has occurred after the thermal insulating material is installed.

The defect determination module 240 independently determines whether or not defects are generated after installing the heat insulating material for each of the at least one adhesive, and at least one of the area and the center of gravity of the adhesive after compression is compared with the reference area and the reference center of gravity, It can be judged that the applied adhesive causes defects after installing the heat insulating material.

The defect determination module 240 compares the area and the center of gravity of the adhesive, the reference area, and the reference center of gravity with respect to each of the at least one adhesive after compression, and calculates each difference value, If it is out of this error range, it can be judged that it causes defects after installing the insulation.

The input unit 250 receives the standard of the heat insulating material, the specific gravity of the adhesive, the reference weight of the adhesive, the reference area of the adhesive after compression, and the reference center of gravity as default values.

7 is a view showing an embodiment of a user interface for a device for predicting the installation of a heat insulation material using image processing according to the present invention.

According to the present embodiment, as shown in FIG. 7, the user interface 700 of the apparatus for predicting the installation of a heat insulating material using image processing is composed of an input unit and a display unit.

The upper part of the user interface 700 is a display unit displaying the photographed image, and includes an item 10 indicating the center of gravity of the applied adhesive and the adhesive 710 applied on the heat insulating material, And ⑨ items indicating the allowable range.

The lower part of the user interface 700 includes an input unit and a display unit.

Specifically, the input unit includes an item for inputting a comparative adhesive condition for detecting an adhesive from an image, an item for inputting an error range of the center of gravity, a item for applying an item for item ① or item ②, An item for inputting automatic capturing and loading of the user interface 700 after display, an item for adjusting the image binarization sensitivity on the user interface 700, and an item for inputting the binarization process.

The display section is composed of ③ item to display the area of each adhesive after pressing, ④ item to display the weight of each adhesive, and ⑤ to indicate whether the defect has occurred in the insulation.

If defects occur after installation of the insulation, that is, when it is determined that the installation of the insulation is inadequate, the position of the glue causing the inelasticity through the user interface can be displayed in graphic form or text form.

Therefore, according to the present invention, an item necessary for defect prediction is input, and the input item and the captured image are analyzed to extract the area and the center of gravity of the adhesive after compression using the area and center of gravity of the applied adhesive It is possible to predict whether a defect occurs after the installation of the heat insulating material according to the amount of change.

<Terminal>

4 is a configuration diagram illustrating an embodiment of a terminal according to another aspect of the present invention.

4, the terminal 100 includes a camera module 110, a display module 120, and a communication module 130. As shown in FIG.

The camera module 110 is installed on the upper side of the heat insulating material coated with at least one adhesive, and photographs the image of the heat insulating material coated with the adhesive and stores it in units of frames. The communication module 120 transmits the image Is transmitted to the prediction device and the defect occurrence area or defect occurrence area is received after the predicted insulation material is installed for the image.

In addition, the display module 120 may display a defect occurrence area or a defect occurrence area on the photographed image after the heat insulating material transferred from the communication module 130 is installed.

The terminal 100 refers to a device such as a mobile phone, a PDA, or a notebook equipped with the camera module 110, the display module 120, and the communication module 130 and includes a CPU Means a device that is not equipped.

However, when the terminal 100 is equipped with a CPU capable of processing a defect occurrence prediction, it is possible to predict whether a defect occurs in the terminal 100 without transmitting the captured image to an external apparatus (defect prediction apparatus) And display the result in the display module 120.

<Prediction method of insulator installation using image processing>

5 is a flowchart illustrating an embodiment of a method for predicting a heat insulation installation defect using image processing according to another aspect of the present invention.

According to the present embodiment, as shown in FIG. 5, a method of predicting the installation defect by using image processing receives an image of a heat insulation member coated with at least one adhesive (S510), analyzes the input image, And the adhesive are respectively detected (S515 to S525).

Next, the area and the center of gravity of the detected adhesive are extracted (S530 to S540), and the area and center of gravity of the adhesive after compression are calculated using the area and center of gravity of the extracted adhesive (S545 to S550).

Finally, after the compression, the area and center of gravity of the adhesive are compared with the reference area and the reference center of gravity, respectively, and it is determined whether or not the defect has occurred after the installation of the heat insulating material (S555 to S575).

In the process of analyzing the input image and detecting the insulation material and the adhesive agent, the input image is binarized (S515), an edge is detected from the binarized image to identify the object (S520), and the identified object is stored in a pre- And the shape of the adhesive to detect the heat insulating material and the adhesive (S525).

In the process of extracting the area and the center of gravity of the detected adhesive, the edge and edge of the detected adhesive are divided into unit pixels, the divided pixels are represented by (x, y) coordinates (S530) (S535). The center of gravity of the detected adhesive is extracted by obtaining the average of the x-coordinate and the y-coordinate of the divided pixels (S540).

In the process of calculating the area and center of gravity of the adhesive after compression using the area and center of gravity of the extracted adhesive, the amount of area change and the center of gravity change after compression of the applied adhesive are calculated (S545) The area and the center of gravity of the adhesive are changed, and the area and the center of gravity of the adhesive are calculated after the pressing (S550).

The process of comparing the area and center of gravity of the adhesive after compression with the reference area and the reference center of gravity and determining whether or not the defect has occurred after the installation of the thermal insulation material is determined by measuring the area and center of gravity of the adhesive after compression, (S555). Then, the calculated area and center-of-gravity difference values are summed (S560), and it is determined whether the sum of the sum of the area and the center of gravity is within an error range (S565 ).

As a result of the judgment, if both of the sum and difference values of the area and the center of gravity are both within the error range, it is judged that the defect does not occur after the installation of the insulating material (qualification, S570). If either one of them deviates from the error range, It is judged that defects will occur (ineligible, S575).

For example, with reference to FIG. 6A and FIG. 6B, a case of determining whether an eligibility or non-eligibility is determined based on the center of gravity will be described.

FIGS. 6A and 6B are views for explaining the positional relationship between a heat insulating material and an adhesive for predicting the installation defect of an insulating material using image processing according to the present invention.

The defect predicting device detects insulation materials and adhesives from photographed images received or transmitted, and then enlarges or reduces the size of the photographed image so that the size of the detected thermal insulator coincides with the standard thermal insulator size.

6A shows a reference position C to which an adhesive is to be applied on the heat insulating material A. It divides the horizontal and vertical lengths of the heat insulating material into six equal parts and sets eight intersecting points as the reference position C. [

Assuming that the lower left corner of the heat insulating material A is a reference point (0,0) and the width of the heat insulating material A is 1200 mm and the length is 600 mm, the reference positions are (200, 100), (600, (1000, 100), 400, 300, 800, 300, 200, 500, 600, 500, 1000, 500.

6B shows the reference position C where the adhesive is to be applied and the position B where the actual adhesive is applied. If the distance between the center of gravity of the actually applied adhesive (B) and the center of gravity of the adhesive displayed at the reference position is within the set tolerance range, it is judged as eligible and the set error range is exceeded It is judged to be ineligible.

For example, if the error range is set to 0 cm to 2 cm for each adhesive, it is judged that three applied adhesives are eligible and five are not.

&Lt; Recording medium which is recorded by a program and readable by an electronic device,

According to another aspect of the present invention, there is provided a method for detecting a defect in a terminal or a defect predicting apparatus, the method comprising the steps of: receiving an image of a thermal insulator coated with at least one adhesive; A process of calculating the area and center of gravity of the adhesive after compression using the area and center of gravity of the extracted adhesive, and the process of calculating the area and the center of gravity of the adhesive after the pressing, And judging whether or not a defect has occurred after the installation of the heat insulating material is compared with each other, and a method of predicting the heat insulating material installation defect using image processing can be recorded in a program and recorded in a recording medium readable by an electronic apparatus.

The method of predicting the installation defect by using image processing can be prepared by a program, and the codes and code segments constituting the program can be easily deduced by a programmer in the field.

Also, a program related to a method for predicting the installation defect using image processing is stored in an information storage medium (readable medium) that can be read by an electronic device, and is read and executed by an electronic device, It is possible to predict the occurrence of defects when installing the insulation.

The present invention can be applied to a system for predicting the installation of a heat insulating material using image processing, a terminal and a defect predicting apparatus constituting the system, a method for predicting a heat insulating material installation defect using image processing, and a recording medium therefor.

1000: Insulation Prediction System Using Image Processing
100: terminal 200: fault prediction device
110: camera module 120: display module
210: data receiving module 220: image processing module
230: comparison object calculation module 240: defect determination module
250: input unit 260:
300: Meter

Claims (20)

A camera module for photographing an image of the heat insulating material coated with at least one adhesive, and a display module for displaying an area where the adhesive is predicted to generate defects after the heat insulating material is installed in the transmitted image;
A meter for measuring the weight of the adhesive; And
And a defect predicting device for predicting whether or not a defect occurs after installation of the heat insulator,
The defect prediction apparatus includes:
A data receiving module for receiving and storing an image of the heat insulating material coated with at least one adhesive and a measured weight of each of the at least one adhesive;
An image processing module for analyzing the image stored in the data receiving module and detecting the heat insulating material and the adhesive;
(X, y) coordinates of the at least one adhesive detected in the image processing module, and dividing the number of divided pixels by the sum of the number of divided pixels to determine the area of the detected adhesive And extracting the center of gravity of the detected adhesive by obtaining an average of the x-coordinate and the y-coordinate of the divided pixels, respectively. The area and the center of gravity of the detected adhesive are used to calculate the area of the adhesive after compression, Calculating a center of gravity of the adhesive, and comparing the weight of the transferred adhesive with a reference weight, and outputting the area of the adhesive after pressing;
Calculating a difference value between an area and a center of gravity of the adhesive after compression calculated in the comparison object calculating module with respect to a reference area and a reference center of gravity, and determining at least one of the difference values for at least one adhesive as an error range And a defective judgment module which judges that defects occur after installation of the heat insulating material when the value obtained by subtracting the difference value or deviating from the accumulated value of the difference values is out of the error range.
delete delete delete delete delete The method according to claim 1,
Wherein the defect predicting device calculates the area ratio of the heat insulating material and the applied adhesive from the transmitted image and extracts the area of the applied adhesive using the pre-stored standard of the heat insulating material. Defect prediction system.
A data receiving module for receiving and storing an image of the heat insulating material coated with at least one adhesive and a measured weight of each of the at least one adhesive;
An image processing module for analyzing the image stored in the data receiving module and detecting the heat insulating material and the adhesive;
(X, y) coordinates of the at least one adhesive detected in the image processing module, and dividing the number of divided pixels by the sum of the number of divided pixels to determine the area of the detected adhesive And extracting the center of gravity of the detected adhesive by obtaining an average of the x-coordinate and the y-coordinate of the divided pixels, respectively. The area and the center of gravity of the detected adhesive are used to calculate the area of the adhesive after compression, Calculating a center of gravity of the adhesive, and comparing the weight of the transferred adhesive with a reference weight, and outputting the area of the adhesive after pressing;
Calculating a difference value between an area and a center of gravity of the adhesive after compression calculated in the comparison object calculating module with respect to a reference area and a reference center of gravity, and determining at least one of the difference values for at least one adhesive as an error range A defective judgment module which judges that defects are generated after installation of the heat insulating material when the value obtained by subtracting or accumulating the difference values out of the error range is deviated; And
And a display unit for displaying an area to which the adhesive is applied, which is predicted to cause defects in the image after the installation of the heat insulating material.
delete delete 9. The method of claim 8,
Wherein the comparison target calculation module calculates the area ratio of the detected heat insulating material and the applied adhesive and extracts the area of the applied adhesive using the pre-stored standard of the heat insulating material. Prediction device.
12. The method of claim 11,
Further comprising an input unit for inputting the standard of the heat insulating material, the reference area of the adhesive after compression, and the reference center of gravity.
delete delete In a method for predicting a defect in a heat insulation installation using image processing,
(a) receiving an image of a heat insulating material coated with at least one adhesive and receiving an adhesive weight;
(b) analyzing the input image to detect a heat insulator and an adhesive, respectively;
(c) extracting an area and a center of gravity of the detected adhesive;
(d) calculating an area and a center of gravity of the adhesive after the pressing using the area and the center of gravity of the extracted adhesive, and re-calculating the area of the adhesive after the pressing using the result of comparing the weight of the transferred adhesive with the reference weight step;
(e) comparing the area and the center of gravity of the adhesive after the pressing to the reference area and the reference center of gravity, respectively, to determine whether a defect has occurred after the thermal insulating material is installed; And
(f) displaying an area of the transferred image on which the adhesive is predicted to cause defects after the installation of the heat insulating material,
The step (c)
(c-1) dividing the edge and the edge of the detected adhesive into unit pixels and representing the divided pixels as (x, y) coordinates;
(c-2) summing the number of divided pixels to extract an area of the detected adhesive; And
(c-3) calculating an average of the x-coordinate and the y-coordinate of the divided pixels, respectively, and extracting the center of gravity of the detected adhesive,
The step (d)
(d-1) calculating an area change amount and a center-of-gravity change amount after the compression of the adhesive applied by the statistical method; And
(d-2) calculating an area and a center of gravity of the adhesive after the pressing by converting the area and the center of gravity of the extracted adhesive by the calculated amount of change,
The step (e)
(e-1) calculating a difference value for each of the applied adhesives by comparing the area and the center of gravity of the adhesive after compression with the reference area and the reference center of gravity, respectively; And
(e-2) at least one of the difference values of the calculated area and the center of gravity for at least one adhesive deviates from the error range, or each of the difference values is added and the summed difference value is within the error range And judging that a defect occurs after the installation of the thermal insulation material when the thermal insulation material is removed.
16. The method of claim 15,
The step (b)
(b-1) binarizing the input image;
(b-2) detecting an edge from the binarized image to identify an object; And
(b-3) comparing the identified object with the pre-stored heat-insulating material shape and adhesive shape to detect the heat-insulating material and the adhesive.
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