Degradation estimation system and method using GPR scan data, and application using same

Abstract

Provided are a degradation estimation system and method using GPR scan data, and an application using same. The degradation estimation system using GPR scan data according to an embodiment of the present invention comprises: a scan data acquisition unit for acquiring scan data including line scan data which is a result of performing at least one line scan on a predetermined area of an object to be scanned by using GPR; a scan data processing unit for generating denoised data by removing noise from the scan data, and acquiring visualization data for the denoised data; and a degradation information analysis unit for analyzing the visualization data to detect degradation lines and acquiring degradation information on the degradation lines to estimate a degradation portion of each of the degradation lines.

Description

Deterioration estimation system and method using GPR scan data and applications using the same

[0001] The present invention relates to a system and method for estimating deterioration using GPR scan data and an application using the same, and more particularly, to a system and method for estimating deterioration using GPR scan data, which can acquire GPR scan data using GPR that performs scanning of the interior of a concrete building and estimate (specify) an internal deteriorated area using the same, and an application using the same.

[0002]

[0003] Concrete deterioration causes internal voids and cracks, and moisture penetrating these voids further deteriorates, damaging the structure. As demand for technologies to preemptively diagnose structural damage grows, non-destructive testing (NDT) technologies capable of performing internal inspections without damaging structures in use are gaining attention.

[0004] Existing nondestructive testing techniques using ultrasound offer the advantage of precise point-by-point diagnosis, enabling accurate measurement of material properties and condition. However, this requires a significant measurement time. Unlike other fields, the nondestructive techniques required in architecture and civil engineering require a large inspection area, requiring technology capable of rapidly measuring large areas.

[0005] Another existing technology, Ground Penetrating Radar (GPR), uses electromagnetic waves to rapidly diagnose the interior of a target. GPR measures reflected waves generated by variations in the electromagnetic properties of the ground, and is widely used to detect rebar in concrete or sinkholes and potholes within the ground.

[0006] Recently, research is being conducted to evaluate the condition of concrete based on the fast scanning speed, which is an advantage of the GPR technique. However, the focus is on the analysis of images of GPR data, and there is a problem that there are limitations in evaluating the condition of concrete through the characteristics of electromagnetic waves.

[0007] <Prior Art Literature>

[0008] Korean Patent No. 10-1936849

[0009]

[0010] In order to solve the problems of the prior art as described above, one embodiment of the present invention provides a system and method for estimating deterioration using GPR scan data, which can acquire GPR scan data, detect a deterioration line using the same, and then estimate a deterioration portion for the deterioration line, and an application using the same.

[0011] In addition, one embodiment of the present invention provides a system and method for estimating deterioration using GPR scan data, which can rapidly scan a wide area of ​​a structure using a non-destructive technique using electromagnetic wave-based GPR equipment, and an application using the same.

[0012] In addition, one embodiment of the present invention provides a system and method for estimating deterioration using GPR scan data, which can easily distinguish between the presence or absence of damage using measured scan line unit data in frequency-wavenumber domain units, and an application using the same.

[0013] In addition, one embodiment of the present invention provides a system and method for estimating deterioration using GPR scan data, which extracts a hyperbola based on data divided into scan lines to inversely estimate the relative permittivity of concrete, and uses the same to identify the presence and location of damage in concrete, and an application using the same.

[0014]

[0015] According to one aspect of the present invention for solving the above-mentioned problem, a deterioration estimation system using GPR scan data is provided. The deterioration estimation system using GPR scan data includes a scan data acquisition unit for acquiring scan data including line scan data which is a result of performing at least one line scan on a preset area of ​​a scan target object using GPR; a scan data processing unit for generating noise-removed data by removing noise from the scan data and acquiring visualization data for the noise-removed data; and a deterioration information analysis unit for analyzing the visualization data to detect deterioration lines, acquiring deterioration information for the deterioration lines, and estimating a deterioration portion for each deterioration line.

[0016] The above scan data processing unit may include a noise removal processing module that removes the noise from the scan data to generate the noise removal data; and a data conversion module that performs a second-order fast Fourier transform on the noise removal data to convert it into the visualization data.

[0017] The above noise may be data input directly from the transmitting antenna to the receiving antenna without passing through the scan target object.

[0018] The above-mentioned deterioration information analysis unit may include a line classification module that classifies the line scan data into a deteriorated line or a non-deteriorated line using the visualization data; and a deterioration portion specifying module that obtains the line scan data for a line classified as a deteriorated line, obtains a relative permittivity using a relative permittivity inverse estimation algorithm, and specifies a deteriorated portion existing in the corresponding line using the relative permittivity.

[0019] The above relative permittivity inverse estimation algorithm may include a step of designating a minimum value extraction range of a parabola included in the line scan data; a step of setting a start, center, and end point of each parabola derived from the line scan data, and extracting a minimum value within the minimum value extraction range from each point; a step of performing interpolation processing between the three extracted minimum values; and a step of obtaining a relative permittivity in each parabola through the following Equation 1.

[0020] Equation 1

[0021]

[0022] The above-mentioned deterioration portion specific module can obtain the relative permittivity from the non-deterioration line and set a reference as the normal permittivity, and obtain the relative permittivity of the deterioration line and specify the portion where a parabola showing a difference of a preset value or more from the normal permittivity is scanned as the deterioration portion.

[0023] According to one aspect of the present invention, a deterioration estimation method using GPR scan data is provided. The deterioration estimation method using GPR scan data includes a scan data acquisition step of acquiring scan data including line scan data as a result of performing at least one line scan on a preset area of ​​a scan target object using GPR in a scan data acquisition unit; a scan data processing step of generating noise-removed data by removing noise from the scan data using a scan data processing unit, and acquiring visualization data for the noise-removed data; and a deterioration information analysis step of analyzing the visualization data through a deterioration information analysis unit to detect deterioration lines, acquiring deterioration information for the deterioration lines, and estimating a deterioration portion for each deterioration line.

[0024] According to one aspect of the present invention, an application utilizing a deterioration estimation method using GPR scan data is provided. The application utilizing the deterioration estimation method using GPR scan data is stored in a storage medium of a digital terminal to perform a scan data acquisition step of acquiring scan data including line scan data which is a result of performing at least one line scan on a preset area of ​​a scan target object using GPR; a scan data processing step of generating noise-removed data by removing noise from the scan data and acquiring visualization data for the noise-removed data; and a deterioration information analysis step of analyzing the visualization data to detect deterioration lines, acquiring deterioration information for the deterioration lines, and estimating a deterioration portion for each deterioration line.

[0025]

[0026] A system, method and application using the same for estimating deterioration using GPR scan data according to one embodiment of the present invention have the effect of obtaining GPR scan data, detecting a deterioration line using the same, and then estimating a deterioration portion for the deterioration line.

[0027] In addition, the deterioration estimation system, method and application using the same using GPR scan data according to one embodiment of the present invention have the effect of being able to quickly scan a wide area of ​​a structure using a non-destructive technique using electromagnetic wave-based GPR equipment.

[0028] In addition, the deterioration estimation system, method and application using the same using GPR scan data according to one embodiment of the present invention have the effect of easily distinguishing the presence or absence of damage using data of measured scan line units in frequency-wavenumber domain units.

[0029] In addition, the system, method, and application using the same for deterioration estimation using GPR scan data according to one embodiment of the present invention have the effect of extracting a hyperbola based on data divided into scan lines to inversely estimate the relative permittivity of concrete, and using the same, to identify the presence and location of damage in concrete.

[0030]

[0031] FIG. 1 is a block diagram of a deterioration estimation system using GPR scan data according to an embodiment of the present invention.

[0032] Figure 2 is a block diagram of the scan data processing unit of Figure 1.

[0033] Figure 3 is a block diagram of the deterioration information analysis unit of Figure 1.

[0034] Figure 4 is a flowchart of a deterioration estimation method using GPR scan data according to an embodiment of the present invention.

[0035] Figure 5 is a flowchart of step S13 of Figure 4.

[0036] Figure 6 is a flowchart of step S15 of Figure 4.

[0037] Figure 7 is a flowchart of a relative permittivity inverse estimation algorithm used in one embodiment of the present invention.

[0038] FIG. 8 is an example drawing of a specimen for a simulation experiment to verify a system and method according to one embodiment of the present invention.

[0039] Figure 9 is an example of a result of a simulation experiment of the present invention, visualization of the presence or absence of damage based on wavenumber.

[0040] Figure 10 is an example of the results of a simulation experiment of the present invention, and the results of extracting the hyperbola-based relative permittivity.

[0041]

[0042] A most preferred embodiment according to the present invention comprises: a scan data acquisition unit for acquiring scan data including line scan data which is a result of performing at least one line scan on a preset area of ​​a scan target object using GPR; a scan data processing unit for generating noise-removed data by removing noise from the scan data and acquiring visualization data for the noise-removed data; and a deterioration information analysis unit for analyzing the visualization data to detect a deterioration line, acquiring deterioration information for the deterioration line, and estimating a deterioration portion for each deterioration line.

[0043]

[0044] Hereinafter, some embodiments of the present disclosure will be described in detail with reference to exemplary drawings. When adding reference numerals to components in each drawing, identical components may have the same numerals as much as possible even if they are shown in different drawings. In addition, when describing the present embodiments, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the technical idea of ​​the present invention, the detailed description may be omitted. When "includes," "has," "consists of," etc. are used in this specification, other parts may be added unless "only" is used. When a component is expressed in the singular, it may include a case in which the plural is included unless specifically stated otherwise.

[0045] Additionally, terms such as first, second, A, B, (a), (b), etc. may be used to describe components of the present disclosure. These terms are only intended to distinguish the components from other components, and the nature, order, sequence, or number of the components are not limited by the terms.

[0046] In a description of the positional relationship of components, when it is described that two or more components are "connected," "combined," or "connected," it should be understood that the two or more components may be directly "connected," "combined," or "connected," but that the two or more components may also be further "interposed" with another component to be "connected," "combined," or "connected." Here, the other component may be included in one or more of the two or more components that are "connected," "combined," or "connected" to each other.

[0047] In the description of the temporal flow relationship related to components, operation methods, or manufacturing methods, for example, when the temporal or flow relationship is described as “after”, “following”, “next to”, “before”, etc., it may also include cases where it is not continuous, unless “immediately” or “directly” is used.

[0048] Meanwhile, when numerical values ​​or corresponding information (e.g., levels, etc.) for components are mentioned, even without separate explicit description, the numerical values ​​or corresponding information may be interpreted as including an error range that may occur due to various factors (e.g., process factors, internal or external impact, noise, etc.).

[0049] FIGS. 1 to 3 illustrate an embodiment of a deterioration estimation system using GPR scan data of the present invention. FIG. 1 is a block diagram of a deterioration estimation system using GPR scan data according to an embodiment of the present invention, FIG. 2 is a block diagram of a scan data processing unit of FIG. 1, and FIG. 3 is a block diagram of a deterioration information analysis unit of FIG. 1. Hereinafter, the deterioration estimation system using GPR scan data of the present invention will be described in detail using FIGS. 1 to 3.

[0050] A deterioration estimation system (1) using GPR scan data according to one embodiment of the present invention can be configured to acquire line scan data for a scan target object using GPR, and estimate a deteriorated portion inside concrete using the acquired line scan data. To this end, the deterioration estimation system (1) using GPR scan data according to one embodiment of the present invention can be configured to include a scan data acquisition unit (11), a scan data processing unit (13), and a deterioration information analysis unit (15), as illustrated in FIG. 1.

[0051] The scan data acquisition unit (11) is configured to acquire scan data including line scan data, which is the result of performing at least one line scan on a preset area of ​​a scan target object using GPR. The scan data acquisition unit (11) of the present invention may be configured to perform a scan on concrete using GPR, acquire the scan result as line scan data, and acquire scan data including a plurality of line scan data.

[0052] The scan data processing unit (13) is configured to process the scan data acquired from the scan data acquisition unit (11). The scan data processing unit (13) can remove noise from the scan data to generate noise-removed data and acquire visualization data for the noise-removed data. To this end, the scan data processing unit (13) according to one embodiment of the present invention can be configured to include a noise-removing processing module (131) and a data conversion module (133), as illustrated in FIG. 2.

[0053] The noise removal processing module (131) is configured to remove noise from scan data to generate noise removal data. Here, noise refers to data other than data containing scan information acquired through a scan target object to be actually scanned, and in a specific example of the present invention, refers to a wavelength transmitted from a transmitting antenna that is directly input to a receiving antenna without passing through the scan target object.

[0054] The noise removal processing module (131) may be configured to remove the above-described noise and to derive only scan result data for the actual scan target object from the scan data.

[0055] When noise removal data is generated in the noise removal processing module (131), the data conversion module (133) can be configured to perform a second-order fast Fourier transform on the noise removal data and obtain visualization data as a result. The data conversion module (133) can visualize the noise removal data in the frequency-wavelength domain using the second-order fast Fourier transform. Through this, the data conversion module (133) can output visualization information that can confirm that high energy is derived from a wavelength section that matches the spacing of reinforcing bars arranged inside the concrete, which is the object to be scanned.

[0056] When visualization data is acquired, the deterioration information analysis unit (15) of the present invention is configured to analyze the visualization data to detect deterioration lines, acquire deterioration information about the deterioration lines, and estimate the deterioration portion for each deterioration line. To this end, the deterioration information analysis unit (15) according to one embodiment of the present invention may be configured to include a line classification module (151) and a deterioration portion specification module (153), as illustrated in FIG. 3.

[0057] The line classification module (151) is configured to classify line scan data into deteriorated lines or non-deteriorated lines using visualization data. The line classification module (151) can check multiple lines (energy) acquired through visualization data, check whether the energy is derived at a constant wavenumber interval, and perform line classification based on this.

[0058] Here, if the energy is derived at a constant wave number interval, the line classification module (151) classifies the line as a non-degraded line, and if it is confirmed that the energy is not derived at a constant wave number interval but is distributed, the line classification module (151) can classify the line as a degraded line.

[0059] The deterioration portion specifying module (153) is configured to acquire line scan data for a line classified as a deterioration line, acquire relative permittivity using a relative permittivity inverse estimation algorithm, and specify a deterioration portion existing in the corresponding line using the relative permittivity. In one embodiment of the present invention, the deterioration portion specifying module (153) may utilize a relative permittivity inverse estimation algorithm to specify a portion in which the permittivity has changed in the scan data due to deterioration within the concrete.

[0060] The relative permittivity inverse estimation algorithm (3) used in one embodiment of the present invention can be expressed as shown in Fig. 7. Fig. 7 is a flowchart of the relative permittivity inverse estimation algorithm used in one embodiment of the present invention.

[0061] Referring to FIG. 7, the relative permittivity inverse estimation algorithm (3) used in one embodiment of the present invention can be formed to include a step of specifying a minimum value extraction range (S31), a step of extracting a minimum value from each point (S33), a step of performing interpolation processing (S35), and a step of obtaining a relative permittivity (S37).

[0062] The step (S31) of specifying a minimum value extraction range is configured to specify a minimum value extraction range of a parabola included in the line scan data. Here, the minimum value extraction range may be a data range to be used in the relative permittivity inverse estimation algorithm of the present invention.

[0063] Next, the minimum value is extracted from each point (step S33). In one embodiment of the present invention, the start point, center point, and end point of each parabola derived from the line scan data are set, and the minimum value within the minimum value extraction range set in step S31 is extracted from each point.

[0064] When three minimum values ​​are obtained, the relative permittivity inverse estimation algorithm (3) of the present invention performs interpolation processing between the three extracted minimum values ​​(step S35), and when the interpolation processing is completed, the relative permittivity in each parabola can be obtained through the following mathematical expression 1 (step S37)

[0065] [Mathematical Formula 1]

[0066]

[0067] A deterioration portion specifying module (153) according to one embodiment of the present invention may be configured to utilize the relative permittivity of a non-deterioration line to specify a deterioration portion. More specifically, the deterioration portion specifying module (153) of the present invention may obtain a relative permittivity from a non-deterioration line to set a reference as a normal permittivity, obtain a relative permittivity of a deterioration line, and specify a portion where a parabola showing a difference of a preset value or more from the normal permittivity is scanned as a deterioration portion.

[0068] FIGS. 4 to 6 illustrate an embodiment of a deterioration estimation method using GPR scan data of the present invention. FIG. 4 is a flowchart of a deterioration estimation method using GPR scan data according to an embodiment of the present invention, FIG. 5 is a flowchart of step S13 of FIG. 4, and FIG. 6 is a flowchart of step S15 of FIG. 4. Hereinafter, the deterioration estimation method using GPR scan data of the present invention will be described in detail using FIGS. 4 to 6. In addition, although FIG. 1 is used for convenience of explanation below, the present invention is not limited thereto, and devices, systems, terminals, etc. that can perform various similar functions or operations may be used.

[0069] A deterioration estimation method (10) using GPR scan data according to one embodiment of the present invention can be configured to acquire line scan data for a scan target object using GPR, and estimate a deteriorated portion inside concrete using the acquired line scan data. To this end, the deterioration estimation method (10) using GPR scan data according to one embodiment of the present invention can be configured to include a scan data acquisition step (S11), a scan data processing step (S13), and a deterioration information analysis step (S15), as illustrated in FIG. 4.

[0070] The scan data acquisition step (S11) is configured to acquire scan data including line scan data, which is the result of performing at least one line scan on a preset area of ​​a scan target object using a GPR in a scan data acquisition unit. The scan data acquisition step (S11) of the present invention may be configured to perform a scan on concrete using a GPR, acquire the scan result as line scan data, and acquire scan data including a plurality of line scan data.

[0071] The scan data processing step (S13) is configured to process the scan data acquired in the scan data acquisition step (S11). The scan data processing step (S13) can remove noise from the scan data using a scan data processing unit to generate noise-removed data and acquire visualization data for the noise-removed data. To this end, the scan data processing step (S13) according to one embodiment of the present invention can be configured to include a noise-removing processing step (S131) ​​and a data conversion step (S133), as illustrated in FIG. 5.

[0072] The noise removal processing step (S131) ​​is configured to remove noise from scan data to generate noise-removed data. Here, noise refers to data that does not contain scan information acquired through the scan target object to be scanned, and in a specific example of the present invention, refers to a wavelength transmitted from a transmitting antenna that is directly input to the receiving antenna without passing through the scan target object.

[0073] The noise removal processing step (S131) ​​may be configured to remove the above-described noise, and may be configured to derive only scan result data for the actual scan target object from the scan data.

[0074] When noise-removed data is generated in the noise-removal processing step (S131), the data conversion step (S133) can be configured to perform a second-order fast Fourier transform on the noise-removed data and obtain visualization data as a result. The data conversion step (S133) can visualize the noise-removed data in the frequency-wavenumber domain using the second-order fast Fourier transform. Through this, the data conversion step (S133) can output visualization information that can confirm that high energy is derived from a wavenumber section that matches the spacing of reinforcing bars arranged inside the concrete, which is the object to be scanned.

[0075] When visualization data is acquired, the deterioration information analysis step (S15) of the present invention is configured to analyze the visualization data using a deterioration information analysis unit to detect deterioration lines, acquire deterioration information for the deterioration lines, and estimate the deterioration portion for each deterioration line. To this end, the deterioration information analysis step (S15) according to one embodiment of the present invention may be configured to include a line classification step (S151) and a deterioration portion specification step (S153), as illustrated in FIG. 6.

[0076] The line classification step (S151) is configured to classify line scan data into deteriorated or non-deteriorated lines using visualization data. The line classification step (S151) can verify multiple lines (energy) acquired through the visualization data, verify whether the energy is derived at a constant wavenumber interval, and perform line classification based on this.

[0077] Here, if the energy is derived at a constant wavenumber interval, the line classification step (S151) classifies the line as a non-degraded line, and if it is confirmed that the energy is not derived at a constant wavenumber interval but is distributed, the line classification step (S151) can classify the line as a degraded line.

[0078] The deterioration portion specifying step (S153) is configured to acquire line scan data for a line classified as a deterioration line, acquire relative permittivity using a relative permittivity inverse estimation algorithm, and specify a deterioration portion existing in the corresponding line using the relative permittivity. In one embodiment of the present invention, the deterioration portion specifying step (S153) may utilize a relative permittivity inverse estimation algorithm to specify a portion in the scan data where the permittivity has changed due to deterioration within the concrete.

[0079] The relative permittivity inverse estimation algorithm (3) used in one embodiment of the present invention can be expressed as shown in Fig. 7. Fig. 7 is a flowchart of the relative permittivity inverse estimation algorithm used in one embodiment of the present invention.

[0080] Referring to FIG. 7, the relative permittivity inverse estimation algorithm (3) used in one embodiment of the present invention can be formed to include a step of specifying a minimum value extraction range (S31), a step of extracting a minimum value from each point (S33), a step of performing interpolation processing (S35), and a step of obtaining a relative permittivity (S37).

[0081] The step (S31) of specifying a minimum value extraction range is configured to specify a minimum value extraction range of a parabola included in the line scan data. Here, the minimum value extraction range may be a data range to be used in the relative permittivity inverse estimation algorithm of the present invention.

[0082] Next, the minimum value is extracted from each point (step S33). In one embodiment of the present invention, the start point, center point, and end point of each parabola derived from the line scan data are set, and the minimum value within the minimum value extraction range set in step S31 is extracted from each point.

[0083] When three minimum values ​​are obtained, the relative permittivity inverse estimation algorithm (3) of the present invention performs interpolation processing between the three extracted minimum values ​​(step S35), and when the interpolation processing is completed, the relative permittivity in each parabola can be obtained through the mathematical expression 1 (step S37).

[0084] The deterioration portion specifying step (S153) according to one embodiment of the present invention may be configured to utilize the relative permittivity of the non-deterioration line to specify the deterioration portion. More specifically, the deterioration portion specifying step (S153) of the present invention may obtain the relative permittivity from the non-deterioration line to set the reference as the normal permittivity, and obtain the relative permittivity of the deterioration line to specify the portion where a parabola showing a difference of a preset value or more from the normal permittivity is scanned as the deterioration portion.

[0085] Meanwhile, FIG. 8 shows a drawing of a specimen for a simulation experiment for verifying a system and method according to one embodiment of the present invention, FIG. 9 shows the results of a simulation experiment of the present invention, visualization of the presence or absence of damage based on wavenumber, and FIG. 10 shows the results of a simulation experiment of the present invention, extraction of relative permittivity based on hyperbola.

[0086] In the simulation experiment of the present invention, the verification of the above-described system and method was performed on a specimen simulating a total of six types of damage as shown in Fig. 8, and the results are shown in Figs. 9 and 10.

[0087] Referring to FIG. 9, in the frequency-wavelength domain result of the scan line (a) without damage during the simulation of the present invention, it can be confirmed that a constant energy is derived in the wavenumber 2.5 (1 / M) section, which is the reciprocal of the rebar spacing (wavelength) of 400 MM. However, in contrast, in the scan line (b) with damage, it can be confirmed that a large amount of energy is derived in wavenumbers other than the wavenumber 2.5 (1 / M) section, and in particular, high energy appears in the low wavenumber section. That is, in the case of the deteriorated line, a constant energy is not derived as illustrated in FIG. 9, and through this, the system and method of the present invention can confirm whether the line is damaged through the visualized results.

[0088] Also, referring to FIG. 10, in the result of deriving the relative permittivity of the scan line (a) without damage during the simulation experiment of the present invention, it can be confirmed that the permittivity value corresponding to the relative permittivity of general concrete between 5 and 10 was derived in all hyperbolas (ASTM standard relative permittivity of general concrete). However, in the case of the scan line (b) where the 1st and 4th damages exist, it can be confirmed that the permittivity corresponding to the 2nd and 3rd hyperbolas is derived between 5 and 10, but the 1st and 4th hyperbolas derive a relative permittivity lower than 5.

[0089] Through the simulation experiment results of FIGS. 9 and 10 described above, it was verified that the system and method of the present invention can identify both the presence and location of damage inside concrete using data acquired through GPR.

[0090] The deterioration estimation method using GPR scan data according to the embodiments of the present invention described above can be implemented as an application (computer program) stored in a storage medium of a computer.

[0091] Here, the computer may include a deterioration estimation system using GPR scan data.

[0092] The computer's operating system may be an operating system such as Windows or Macintosh, which is installed on general PCs such as desktops and laptops, or a mobile-only operating system such as iOS or Android, which is installed on mobile devices such as smartphones and tablet PCs.

[0093] The deterioration estimation method using GPR scan data according to the embodiments of the present invention described above may be implemented as an application (i.e., a computer program) installed by default on a computer or installed by a user, and may be stored (recorded) on a computer-readable storage medium.

[0094] An application (computer program) implemented as a method for estimating deterioration using GPR scan data according to embodiments of the present invention and stored and executed in a storage medium of a computer may perform a scan data acquisition step of acquiring scan data including line scan data which is a result of performing at least one line scan on a preset area of ​​a scan target object using GPR; a scan data processing step of generating noise-removed data by removing noise from the scan data and acquiring visualization data for the noise-removed data; and a deterioration information analysis step of analyzing the visualization data to detect deterioration lines, acquiring deterioration information for the deterioration lines, and estimating a deterioration portion for each deterioration line.

[0095] In this way, in order for a computer to read a program recorded on a storage medium and execute a deterioration estimation method using GPR scan data according to the embodiments implemented as a program, the application (application program) described above may include code (Code) coded in a computer language such as C, C++, JAVA, or machine language that can be read by a computer processor (CPU).

[0096] Such code may include functional code related to functions defining the aforementioned functions, and may also include control code related to execution procedures required for the computer's processor to execute the aforementioned functions according to a predetermined procedure.

[0097] Additionally, such code may further include memory reference related code regarding where in the internal or external memory of the computer the additional information or media required for the computer's processor to execute the aforementioned functions should be referenced.

[0098] Additionally, if the computer's processor needs to communicate with any other computer or server, etc., located remotely in order to execute the functions described above, the code may further include communication-related code regarding how the computer's processor should communicate with any other computer or server, etc. located remotely, using the computer's communication module (e.g., wired and / or wireless communication module), and what information or media should be sent and received during the communication.

[0099] In addition, the functional program for implementing the present embodiments and the code and code segments related thereto may be easily inferred or changed by programmers in the technical field to which the present invention pertains, taking into consideration the system environment of the computer that reads the storage medium and executes the program.

[0100] Additionally, a computer-readable storage medium recording the aforementioned program can be distributed across network-connected computer systems, allowing the computer-readable code to be stored and executed in a distributed manner. In this case, one or more of the multiple distributed computers can execute some of the functions described above and transmit the results to one or more of the other distributed computers. The computer receiving the results can also execute some of the functions described above and provide the results to the other distributed computers.

[0101] As described above, a computer-readable storage medium that records an application for executing a deterioration estimation method using GPR scan data according to embodiments of the present invention may include, for example, a ROM, a RAM, a CD-ROM, a magnetic tape, a floppy disk, an optical media storage device, etc.

[0102] In addition, a computer-readable storage medium recording an application, which is a program for executing a deterioration estimation method using GPR scan data according to embodiments of the present invention, may be a storage medium (e.g., a hard disk, etc.) included in an application provider server including an application store server, a web server related to an application or a corresponding service, or the application provider server itself, or another computer recording the program or its storage medium.

[0103] A computer capable of reading a storage medium recording an application program for executing a deterioration estimation method using GPR scan data according to embodiments of the present invention may include not only general PCs such as general desktops or laptops, but also mobile terminals such as smart phones, tablet PCs, PDAs (Personal Digital Assistants), and mobile communication terminals, and should be interpreted as all computing-capable devices.

[0104] The above description is merely an illustrative illustration of the technical idea of ​​the present invention, and those skilled in the art will appreciate that various modifications and variations can be made without departing from the essential characteristics of the present invention. Therefore, the embodiments disclosed in the present invention are intended to illustrate, rather than limit, the technical idea of ​​the present invention, and the scope of the technical idea of ​​the present invention is not limited by these embodiments. The scope of protection of the present invention should be interpreted by the following claims, and all technical ideas within a scope equivalent thereto should be interpreted as being included in the scope of the rights of the present invention.

[0105]

[0106] <Explanation of symbols>

[0107] 1: Deterioration estimation system using GPR scan data

[0108] 11: Scan data acquisition section

[0109] 13: Scan data processing unit

[0110] 15: Deterioration Information Analysis Department

[0111] 131: Noise removal processing module

[0112] 133: Data Conversion Module

[0113] 151: Line Classification Module

[0114] 153: Deterioration Part Specific Module

Claims

1. A scan data acquisition unit that acquires scan data including line scan data that is the result of performing at least one line scan on a preset area of ​​a scan target object using GPR; A scan data processing unit that removes noise from the scan data to generate noise-removed data and obtains visualization data for the noise-removed data; and A deterioration estimation system using GPR scan data, comprising a deterioration information analysis unit that analyzes the visualization data to detect a deterioration line, obtains deterioration information for the deterioration line, and estimates a deterioration portion for each deterioration line.

2. In paragraph 1, The above scan data processing unit, A noise removal processing module that removes the noise from the scan data to generate the noise removal data; and A deterioration estimation system using GPR scan data, comprising a data conversion module that performs a second-order fast Fourier transform on the noise removal data to convert it into visualization data.

3. In paragraph 2, The above noise is, A deterioration estimation system using GPR scan data, which is data input directly from the transmitting antenna to the receiving antenna without passing through the scan target object.

4. In paragraph 1, The above deterioration information analysis unit, A line classification module that classifies the line scan data into a deteriorated line or a non-deteriorated line using the visualization data; and A deterioration estimation system using GPR scan data, comprising a deterioration portion specifying module that obtains line scan data for a line classified as the deterioration line, obtains relative permittivity using a relative permittivity inverse estimation algorithm, and specifies a deterioration portion existing in the corresponding line using the relative permittivity.

5. In paragraph 4, The above relative permittivity inverse estimation algorithm is, A step of specifying a minimum value extraction range of a parabola included in the above line scan data; A step of setting the start, center, and end points of each parabola derived from the above line scan data, and extracting the minimum value within the minimum value extraction range from each point; A step of performing interpolation processing between the three minimum values ​​extracted above; and A system for estimating degradation using GPR scan data, comprising: a step of obtaining relative permittivity in each parabola through the following equation 1. Formula 1 6. In paragraph 5, The above deteriorated part specific module is, A deterioration estimation system using GPR scan data, which obtains the relative permittivity from the non-deteriorated line, sets a standard as the normal permittivity, obtains the relative permittivity of the deteriorated line, and specifies a portion where a parabola showing a difference of a preset value or more from the normal permittivity is scanned as the deteriorated portion.

7. A scan data acquisition step for acquiring scan data including line scan data, which is a result of performing at least one line scan on a preset area of ​​a scan target object using GPR in a scan data acquisition unit; A scan data processing step of removing noise from the scan data using a scan data processing unit to generate noise-removed data and obtaining visualization data for the noise-removed data; and A method for estimating deterioration using GPR scan data, comprising: a deterioration information analysis step of analyzing the visualization data through a deterioration information analysis unit to detect a deterioration line, obtaining deterioration information for the deterioration line, and estimating a deterioration portion for each deterioration line.

8. A scan data acquisition step for acquiring scan data including line scan data which is a result of performing at least one line scan on a preset area of ​​a scan target object using GPR; A scan data processing step of generating noise-removed data by removing noise from the scan data and obtaining visualization data for the noise-removed data; and An application stored in a storage medium of a digital terminal to perform a deterioration information analysis step of analyzing the visualization data to detect a deterioration line, obtaining deterioration information for the deterioration line, and estimating a deterioration portion for each deterioration line.

Images