JP2010014472A - Nondestructive inspection device, nondestructive inspection system, and vehicle for nondestructive inspection - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a practical nondestructive inspection device capable of establishing an analysis method for a target, and making accuracy compatible with the speed. <P>SOLUTION: This device is equipped with a data-receiving means 61 for receiving time-series reflected wave data D, acquired by irradiating an electromagnetic wave to a concrete structure which is an inspection object; a reflected wave separation means 62 for separating the reflected wave data D into a plurality of fundamental reflected waves, by performing pattern matching between the received reflected wave data D; a predicted signal waveform combined linearly, by time-shifting the plurality of fundamental reflected waves based on a hypothesis, where one or a plurality of analysis modules 63 classified by target for calculating a prescribed test value relative to an inspection item from numerical data, such as propagation time or a linear combination coefficients, based on the fundamental reflected wave related to a specific inspection item among the fundamental reflected waves separated by the reflected wave separation means 62; and a setting input means 64 for receiving setting, input, or the like, of the inspection item. The device calculates a test value D<SB>out</SB>, based on the fundamental reflected wave related to the inspection item. <P>COPYRIGHT: (C)2010,JPO&INPIT

Description

  The present invention relates to a non-destructive inspection device, a non-destructive inspection system, a vehicle for non-destructive inspection, and the like that are particularly preferably used for soundness diagnosis of expressways and various general roads.

  As a non-destructive inspection method for this type of concrete structure, the present inventor, in Patent Documents 1 and 2, etc., transmits electromagnetic waves to the concrete structure from a transmitting antenna provided facing the surface of the concrete structure. The internal structure of the concrete structure is inspected by detecting the electromagnetic wave reflected at the discontinuous part of the medium existing inside the concrete structure as a received signal with a receiving antenna provided facing the surface of the concrete structure. An inspection method is disclosed.

  This method is formed from reflected waves of electromagnetic waves reflected at one or more non-continuous portions of the medium inside the concrete structure by applying analysis software to the acquired time-series reflected wave data. The waveform of the received signal (received signal waveform) and the waveform of the predicted received signal theoretically and / or experimentally predicted from the presence of one or more discontinuous portions of the medium inside the concrete structure Pattern matching with (predicted signal waveform) is performed to detect the non-continuous portion of the medium.

  The non-continuous part here is specifically assumed to be the interface between the pavement and the floor slab, as well as the interface with the surrounding medium where there are steel frames, reinforcing bars, foreign objects, cracks, voids, etc. When these medium discontinuous portions exist in the concrete structure, the electromagnetic waves are reflected at these medium discontinuous portions. Therefore, pattern matching between the predicted signal waveform created under the hypothesis that the discontinuous part of the medium exists in various states in the concrete structure and the received signal waveform actually received by the receiving antenna is performed. When the predicted signal waveform that is the best is obtained, it is possible to determine that the state of the non-continuous medium that gives the predicted signal waveform is the state of the non-continuous medium occurring in the actual concrete structure. .

Therefore, when there are non-continuous parts of the medium due to the presence of steel frames, reinforcing bars, foreign objects, cracks, holes, etc. in the concrete structure, the measurement of these positions is far more than the conventional hammering sound inspection method etc. In addition, it is possible to perform with high accuracy and high reliability in a short time. Furthermore, even if there are a plurality of medium discontinuous portions in the depth direction, it is possible to individually detect each medium discontinuous portion and measure each position.
JP 2003-207463 A JP 2008-39429 A

  Thus, the non-destructive inspection method using electromagnetic waves has the potential to bring about significant progress in terms of efficiency, reliability, and accuracy as compared to the conventional inspection method. However, the process of obtaining a list of all the diagnosis items of concrete internal conditions from pattern matching based on several hypotheses greatly increases the amount of calculation processing based on strict calculation. If the performance of computer hardware resources is improved or the pattern matching algorithm itself is improved, there is of course the possibility of pursuing real-time inspection without sacrificing accuracy. It is also extremely important to examine practical methods for achieving both inspection accuracy and inspection speed.

  In addition, a lot of information is superimposed on the propagation time and primary coupling coefficient of the received wave received through multiple media, and the primary coupling coefficient and propagation obtained as a result of how to set the predicted signal waveform and matching Depending on how time is interpreted, it can be handled in any way. Therefore, if a clear approach based on the internal structure and characteristics of the concrete structure to be inspected is lacking, a conclusion that is far from the actual situation will be drawn, and the data obtained will be meaningless even if it is an excellent inspection method. In some cases.

  In particular, in maintenance inspections of expressways and general roads, it is important to be able to collect data in a short time and quickly diagnose the deterioration of concrete structures that form road surfaces over long distances without peeling off the pavement. There is a demand for the creation of a specific inspection apparatus and inspection system that enables accurate and highly efficient inspection that meets such purposes.

  The present invention has been focused on this, pursuing rationality and specific validity of non-destructive inspection for implementation, establishing an analysis method according to the purpose, and achieving both inspection accuracy and speed. It aims to newly provide a practical nondestructive inspection device, a nondestructive inspection system, a nondestructive inspection vehicle, and the like.

  In order to achieve this object, the present invention takes the following measures.

  That is, the nondestructive inspection apparatus of the present invention includes a data receiving means for receiving time-series reflected wave data acquired by irradiating an electromagnetic wave to a concrete structure to be inspected, the received reflected wave data, and a hypothesis. A reflected wave separating means for separating the reflected wave data into a plurality of fundamental reflected waves by performing pattern matching with a predicted signal waveform obtained by linearly combining a plurality of fundamental reflected waves with time shift based on One of calculating a predetermined test value related to the inspection item from numerical data such as a propagation time and a primary coupling coefficient based on the basic reflection wave related to the specific inspection item among the basic reflection waves separated by the wave separation means A plurality of purpose-specific analysis modules and setting input means for receiving setting / input of inspection items are provided. Wherein activates the specific-purpose analysis module corresponding to the check item was, characterized in that so as to perform the calculation of the test value based on the fundamental reflected waves associated with the test item

  With this configuration, when a specific inspection item is set / input in the setting input unit, the corresponding analysis module for each purpose is activated, and the related basic reflected wave separated by the reflected wave separating unit is related. Since the test value for a specific test item is calculated from the propagation time of the reflected wave and the primary coupling coefficient, the algorithm of the purpose-specific analysis module can be simple with less calculation load for each purpose, and can be used to calculate the test value. The time required is mainly the sum of the operating time of the reflected wave separating means and the specific purpose-specific analysis module. In addition, when other purpose-specific analysis modules continue to be activated, the calculation result is drastically reduced because the separation results of the reflected wave separation means already executed can be used. In this way, after performing the common reflected wave separation process, the analysis module for each purpose for each algorithm that matches the purpose and application is started, so that efficient inspection can be performed as needed in a short time as needed. Become.

  In order to enable a more accurate inspection or the like, the propagation time and the primary coupling coefficient related to the fundamental reflected wave other than the fundamental reflected wave related to the specific inspection item among the fundamental reflected waves separated by the reflected wave separating means. With the numerical data such as fixed, the basic reflected wave related to the specific inspection item is further subdivided, and the number of signals, propagation time and primary coupling coefficient as variables of the predicted signal waveform and the actual reflected wave data And a reflected wave re-separation unit that performs pattern matching again between them. Based on the numerical data of the fundamental reflected wave re-separated by this reflected wave re-separation unit, the analysis module for each purpose performs more detailed calculation of the test value. It is desirable to make it.

  In other words, when analyzing the fundamental reflected wave separated by the reflected wave separating means in more detail, or when the propagation time and primary coupling coefficient of the fundamental reflected wave separated by the reflected wave separating means cannot be used as they are, other fundamental reflected waves are used. Since the reflected wave re-separation unit re-separates the fundamental reflected wave related to a specific inspection item based on a new hypothesis with the already obtained propagation time and first-order coupling coefficient fixed, Alternatively, it is possible to effectively calculate a test value with higher accuracy regarding a specific inspection item through limited pattern matching. In this case, since the variables are reduced and the calculation load is drastically reduced, the influence of the increase in the calculation process on the processing speed is small.

  Preferred embodiments of the purpose-specific analysis module include the following.

  Obtain numerical data on one or more fundamental reflected waves necessary to capture the floating that occurs near the interface between the paving material and the floor slab, and the size of the one fundamental reflected wave or the gap generated in the floating part An asphalt flotation analysis module configured to calculate a predetermined test value related to pavement float based on a difference in propagation time between the two or more fundamental reflected waves in consideration of the relative permittivity in

  Obtain numerical data on one or more fundamental reflected waves necessary to capture cracks in a concrete structure, and consider the magnitude of the one fundamental reflected wave or the relative dielectric constant inside the crack. A crack analysis module configured to calculate a predetermined test value related to a crack based on a propagation time difference between two or more fundamental reflected waves.

  Obtain numerical data on the two or more fundamental reflected waves necessary to capture the position of the reinforcing bar in the depth direction in the concrete structure, and consider the relative permittivity of the medium covering the reinforcing bar. A reinforcing bar covering analysis module configured to calculate a predetermined test value relating to a covering of a medium on a reinforcing bar based on a propagation time difference of a fundamental reflected wave.

  The basic reflected wave corresponding to the reflected wave from the vertical and horizontal bars constituting the crossing reinforcing bars existing in the concrete structure is treated as a different waveform, and one or more necessary for capturing the corrosion of each of these reinforcing bars Numerical data on two or more fundamental reflected waves is acquired for each reinforcing bar, and based on the propagation time difference between the two or more fundamental reflected waves taking into account the magnitude of the one fundamental reflected wave or the relative permittivity of the corroded part A rebar corrosion analysis module configured to simultaneously calculate a predetermined test value relating to corrosion of each rebar.

  To obtain numerical data on two or more fundamental reflected waves reflected on the upper and lower surfaces of a specific medium and measure at least the moisture content in the medium based on the propagation time difference of the two or more fundamental reflected waves in the medium A water analysis module configured to calculate the test values required for the test.

  Obtain numerical data on two or more fundamental reflected waves that are reflected on both upper and lower surfaces of a specific medium, and based on the magnitude of the two or more fundamental reflected waves, when a specific fundamental reflected wave passes through a specific medium A salt damage analysis module configured to calculate an attenuation rate of electromagnetic waves as a test value for relative evaluation of a chloride ion impregnation rate in the medium.

  In these, when the specific medium is a floor slab or a paving material, and the inside is composed of a laminated structure of a plurality of floor slab layers or asphalt layers having different properties, the analysis module for each purpose includes both upper and lower surfaces for each layer. A compost analysis module or a salt damage analysis module configured to acquire numerical data related to a reflected fundamental reflected wave and calculate a test value for each layer.

  When the specific medium is a floor slab with a reinforcing bar inside, it is assumed that the floor slab is divided into two sections by the reinforcing bar from the floor slab upper surface to the reinforcing bar, and from the reinforcing bar to the floor slab bottom, The above-mentioned compost analysis module or salt damage analysis module configured to acquire numerical data related to the fundamental reflected wave reflected on both the upper and lower surfaces for each section and calculate a test value for each section.

  In order to facilitate the correlation between the inspection position and the data after the fact, the data receiving means simultaneously receives the inspection position specifying information associated with the reflected wave data, and the calculated test value is specified as the inspection position. It is desirable to further include a map generating means for mapping based on the information.

  With this configuration, the test value is mapped by the map generation unit based on the inspection position specifying information, and the abnormal location can be confirmed on the map. Therefore, it is not always necessary to perform analysis at the location where the reflected wave data is acquired. Therefore, it is possible to achieve efficient operation such as performing rough screening on a specific test value at the site and performing detailed additional inspection spotwise as necessary.

  Particularly preferably, the data receiving means receives reflected wave data obtained at a plurality of measurement points in a matrix form in a two-dimensional direction, and the map generation means plots the test value for each measurement point on the two-dimensional map. It is useful to be.

  In order to obtain data quickly and to obtain occasions for analysis at any time, an electromagnetic wave exploration means for obtaining reflected wave data by irradiating electromagnetic waves to the pavement surface of a concrete structure to be inspected, and electromagnetic waves A non-destructive inspection vehicle is equipped with position information acquisition means for acquiring inspection position specifying information relating to the probed measurement point, and storage means for storing the reflected wave data and inspection position specifying information in association with each other. It is desirable to construct a nondestructive inspection system so as to perform nondestructive inspection by inputting the stored reflected wave data and inspection position specifying information into any of the nondestructive inspection apparatuses described above.

  In this way, it is possible to acquire data by running a nondestructive inspection vehicle and perform data analysis by the nondestructive inspection device whenever necessary.

  In order to enable real-time inspection, electromagnetic wave exploration means for acquiring reflected wave data by irradiating the pavement surface of the concrete structure to be inspected and inspection position specifying information regarding the measurement point subjected to the electromagnetic wave exploration are acquired. Position information acquisition means is mounted on the vehicle body together with any of the non-destructive inspection devices described above, and reflected wave data from the electromagnetic wave exploration means and inspection position specifying information from the position information acquisition means are the non-destructive inspection. It is desirable to configure the non-destructive inspection vehicle to input to the data receiving means of the apparatus.

  If it does in this way, it will become possible to respond to quick restoration etc. on the spot by acquiring data by run and performing data analysis by a nondestructive inspection device immediately in vehicles.

  In order to easily use the nondestructive inspection apparatus, the following program is effective.

  A program that at least functions as reflected wave separation means constituting the nondestructive inspection apparatus according to any one of the above by being read by a computer.

  A program that functions as at least a reflected wave separation means and a reflected wave re-separation unit constituting the nondestructive inspection apparatus according to any one of the above by being read by a computer.

  A program that is read by a computer and functions as a purpose-specific analysis module in association with any of the programs described above.

  The nondestructive inspection method of the present invention embodied in the nondestructive inspection apparatus and the nondestructive inspection system described above is a time-series reflected wave acquired by irradiating an electromagnetic wave to a concrete structure to be inspected. A data receiving step for receiving data, and a reflected wave separating step for separating the reflected wave data into a plurality of fundamental reflected waves by performing pattern matching between the received reflected wave data and a predicted signal waveform based on a hypothesis; A setting input reception step for receiving setting / input of inspection items, and a numerical value such as a propagation time or a primary coupling coefficient based on the basic reflected wave related to the received inspection item among the basic reflected waves separated by the reflected wave separating means And a purpose-specific analysis step for calculating a predetermined test value related to the inspection item from the data.

  In this case, for the same reason as described above, numerical data such as the propagation time and the primary coupling coefficient related to the fundamental reflected wave other than the fundamental reflected wave related to the specific inspection item among the fundamental reflected waves separated by the reflected wave separation step. In a state where is fixed, the basic reflected wave related to the specific inspection item is further subdivided, and a pattern is again formed between the predicted signal waveform and the actual reflected wave data using the number, propagation time, and primary coupling coefficient as variables. The method further includes a reflected wave re-separation step for performing matching, and adopts a method for calculating a more detailed test value in the analysis step for each purpose based on the numerical data of the fundamental reflected wave re-separated in the reflected wave re-separation step. It is desirable.

  Further, in the data receiving step, a map generating step for further mapping the test value calculated in the purpose-specific analysis step based on the test position specifying information by simultaneously receiving the test position specifying information associated with the reflected wave data. It can be an extremely useful technique in practice.

  Since the present invention has the above-described configuration, the inspection of the soundness level of a concrete structure can be performed while efficiently performing both electromagnetic field exploration in the field and analysis from various angles with respect to the obtained reflected wave data. It can be performed with high accuracy and high reliability without destroying the part. For this reason, for highways and general roads that exist over a wide area and require early diagnosis in order to prevent damage or deterioration, a great deal of cost, time, human labor, Therefore, it can be extremely useful to enable simple and reliable soundness check without the need for skill.

  Hereinafter, an embodiment of the present invention will be described with reference to the drawings.

First, an analysis method that is a premise for nondestructive inspection using electromagnetic waves will be described, and then the configuration and application examples of the nondestructive inspection apparatus according to the present embodiment will be described.
(A prerequisite analysis method)

  FIG. 1 shows a relationship between an expressway as a concrete structure to be inspected and an electromagnetic wave radar 3 as an electromagnetic wave exploration means. In the case of an expressway, it consists of a layer of a concrete floor slab 11 and an asphalt pavement material 12, and is composed of a plurality of different media, such as reinforcing bars 13a and 13b being arranged in the concrete. Electromagnetic waves are reflected at non-continuous parts of the medium, but in concrete structures, cracks 14 may occur due to deterioration or floats 15 may occur on the asphalt. A gap is formed in the inside to change the magnitude and polarity of the reflected wave. Accordingly, the electromagnetic wave radar 3 including the transmitter 31 and the receiver 32 is used to irradiate the concrete structure with the electromagnetic wave E from the surface, and the reflected wave generated at the discontinuous portion of the medium is received and analyzed.

In general concrete structures such as highways, asphalt is laid on a floor slab that includes crossed reinforcing bars. As shown in FIG. 1, the reflected wave for the time being is reflected from the surface of asphalt 12. The wave r ₁ , the reflected wave r ₂ from the interface between the bottom surface of the asphalt 12 and the top surface of the floor slab (concrete) 11, the reflected wave r ₃ from the crack 14, the vertical bars 13 a and the horizontal bars 13 b constituting the cross reinforcing bar structure It is sufficient to consider two reflected waves r ₄ and r ₅ and _six reflected waves r ₆ reflected from the bottom surface of the floor slab 11. r _s (t) is a wave that propagates directly from the transmitter 31 to the receiver 32. FIG. 1A shows a state in which the electromagnetic wave radar is scanned from the left side to the right side of the paper, and FIG. 1B shows a state in which the electromagnetic wave radar is scanned in a direction perpendicular to the paper surface.

First, when the electromagnetic wave E propagates, the reflection coefficient and the transmission coefficient at the boundary surface between different media are given by the following equation (1).

Here, ε ₁ and ε ₂ are relative dielectric constants of the medium before and after incidence, respectively. Therefore, although the transmission coefficient is always positive, the reflection coefficient can take either positive or negative values depending on the relative dielectric constants of the two media.

As described above, the magnitude, propagation time, and phase of the reflected wave from each part in the inspection object received by the receiver 32 of the electromagnetic wave radar 3 are reflected on the length of the propagation path and on any medium boundary surface. It depends on whether or not the transmission has been repeated. Therefore, the received signal waveform r (t) is modeled as a predicted signal waveform r _p (t) as shown in the following equation (2) using r ₀ (t) as a basic reflected waveform when the above-described six reflections are assumed. Can be

_{r p (t) = r s} (t) + c 1 r 0 (t-T 1) + c 2 r 0 (t-T 2) + ... + c 5 r 0 (t-T 5) + c 6 r 0 (t- T ₆₎ (2)

Here, the basic reflection waveform is a spindle-shaped vibration waveform, and is represented by r ₀ (t) for convenience in the equation (2). Although the same expression is used in the following description, it is actually reflected. The basic reflection waveform is not the same for all objects. For example, a reflected wave reflected by a reinforcing bar and a reflected wave reflected by other parts have different waveforms, and there are at least two types of waveforms. When the reinforcing bar is a crossed reinforcing bar, the basic reflection waveform is different between the vertical bar 13a extending in the scanning direction by the electromagnetic wave and the horizontal bar 13b extending in the direction orthogonal to the scanning direction. . In the equation (2), T ₁ , T ₂ ,... Represent the time at which the first reflected wave arrives from each reflecting surface (boundary surface) in the inspection target (that is, the round-trip propagation time). In this case, the transmission time of the electromagnetic wave is set to zero, and the second and third reflected waves from each boundary surface are smaller than the first reflected wave and can be ignored. Note that r _s (t) is a wave directly propagating from the transmitter 31 to the receiver 32, and since this can be obtained by a separate experiment or the like, it is omitted in the following handling.

Since the primary coupling coefficients c ₁ , c ₂ ,... In the equation (2) are given by the products of the reflection coefficient, the transmission coefficient, and the attenuation coefficient (related to the radio wave path) related to the propagation process of the fundamental reflected wave, their magnitudes are large. The length and the sign include information regarding an abnormality directly below the electromagnetic wave radar 3.

In the abnormality diagnosis based on the signal propagation model, a predicted signal waveform r _p (t) obtained by linearly combining the basic reflection waveform r ₀ (t) with time shift as shown in the equation (2) and the actual received signal waveform Optimal pattern matching with r (t) is performed to determine the propagation time {T ₁ , T ₂ ,...} and the primary coupling coefficients {c ₁ , c ₂ ,. As an evaluation function for optimal pattern matching, the following equation (3) or the like can be used. Then, based on the magnitude and polarity of the primary coupling coefficient of the predicted signal waveform r _p (t), it can be determined whether or not an abnormality exists in the inspection target, or the degree of the abnormality.

はそれぞれヒルベルト空間の内積およびノルムである。 Here, θ is a geometric angle between the actual waveform r (t) and the predicted signal waveform r _p (t), and represents the degree of pattern matching between the two waveforms. Where (・, ・) and

Are the inner product and norm of the Hilbert space, respectively.

Depending on the propagation time {T ₁ , T ₂ ,...} And the primary coupling coefficient {c ₁ , c ₂ ,. Is required. That is, the form of abnormality is determined by the sign and size of the primary coupling coefficient {c _i } (i = 1, 2,...), And the asphalt thickness and crack depth are determined by the propagation time {T _i }. In order to obtain the depth and thickness, the depth and asphalt thickness of the anomalous part and the like are obtained using the propagation time {T _i } and the electromagnetic wave velocity c / √ε (c: speed of light, ε: relative dielectric constant) in each medium. It will be. Note that if {c _i } and {T _i } are all variables in the optimization, there is a risk of falling into a local solution, and a considerable amount of time is required for calculation. Therefore, searching for {T _i } is performed. Although numerically performed, an analytical solution is used for {c _i }.

Although the abnormality detection is performed as described above, it is sufficient to consider the actual problem and the case where there is one crack in the depth direction. Therefore, as a general hypothesis, the signal propagation model of the formula (2) may be assumed to be a model corresponding to the above-described 6 reflections r _{1 to} r _6, and the reflected wave to be further assumed is appropriately assumed as necessary. Increase it. In this way, the signal propagation model depends on the type and number of reflected waves that need to be extracted, depending on the specificity of the internal structure assumed for the concrete structure to be inspected and the inspection items to be performed. An appropriate hypothesis can be established, and pattern matching can be performed under the hypothesis.

  Here, when searching for abnormalities in the deep part, since the reflected signal from the abnormal part becomes small, both the actual received signal and the predicted received signal based on the model based on the equation (2) are exponential STC gains. It is effective to perform pattern matching according to equation (3) on the two signals after multiplying by the gain.

  In the above, in order to shorten the calculation time, a so-called sequential optimization method is adopted in which two parameters for a reflected wave are first optimized, then fixed, and the remaining three parameters are optimized. It is also effective. However, although this makes it possible to greatly reduce the calculation time, since it is not simultaneous optimization, it does not seek a truly optimal parameter. Therefore, it is only necessary to perform simultaneous optimization using all the variables again with the suboptimal solution obtained by the above method as the initial value. As a result, the calculation time is greatly reduced as compared with the case of simultaneous optimization with all variables from the beginning.

  If high computational processing power is expected due to improvements in algorithms, etc., the basic analysis method concept is not changed at all, and the numerical solution (optimization) of the propagation time of each reflected wave is performed without impairing real-time performance. It can be stricter. In this case, a strict optimization method that realizes simultaneous optimization is adopted.

In Patent Document 2, the average of the received signals in a section of 50% of the reinforcing bar pitch is reduced for the two reasons of reducing the influence of strong reflected waves from the orthogonal crossing reinforcing bars and reducing the number of optimum parameters. In this embodiment, optimization is executed for each measurement point in order to pursue a practical in-vehicle type.
(Specific purpose of the nondestructive inspection device in this embodiment)

  In operations such as maintenance inspections on expressways, it is required to collect data in a short time and quickly diagnose the deterioration of concrete structures that form road surfaces over long distances without removing the pavement. In implementing the above basic analysis method, appropriate soundness diagnosis before extreme deterioration, damage, etc., identification of inspection items desirable for that purpose, promptness of on-site work, and analysis accuracy are compatible. A system construction that can be achieved is desired.

In this embodiment, based on such a viewpoint, there is a strong causal relationship with each other, the asphalt float, crack thickness, which is effective in capturing early signs of road deterioration from the top of the asphalt, Paying attention to rebar cover, rebar corrosion degree, condensate degree, salt damage degree, etc., collect a large amount of necessary data on these inspection items in the field in a short period of time, and in real time or as required later By extracting data related to test values, early diagnosis of road health and mapping to build a system that can be used for spot-like reexamination whenever necessary. For the purpose.
<Device configuration>

  Therefore, in this embodiment, as shown in FIG. 2, the electromagnetic wave radar 3 and the position information acquisition means 4 which are electromagnetic wave exploration means are mounted on the vehicle body 51 of the non-destructive inspection vehicle 5 and travel through the investigation section to be investigated. The part is scanned by the electromagnetic wave radar 3, and the time-series reflected wave data D is input to the nondestructive inspection apparatus 6 together with the inspection position specifying information S to perform data processing. This nondestructive inspection device 6 may be mounted on the vehicle main body 51, or when there is a limit in real-time calculation processing capacity, the storage means 7 using an appropriate storage medium such as RAM, HDD, flash memory or the like is provided. The reflected wave data D and the inspection position specifying information S may be stored in the storage means 7 by being mounted on the vehicle body 51 and processed in the nondestructive inspection device 6 afterwards.

  The nondestructive inspection vehicle 5 may be of a small form such as a wheelbarrow, but here the vehicle body 51 has a width of a normal passenger car or more and is in the line direction (the direction of arrow L in FIG. 2). Mounted with a plurality of pairs of transmitters 31 and receivers 32, the electromagnetic wave radar 3 is mounted, and a plurality of measurement points in a matrix form in a two-dimensional direction while traveling in the scanning direction (V direction) orthogonal to the line L A reflected wave r (t) is acquired for each MP. 1, 5, 7, 8, 10, 11, 13, and 15, only a pair of transmitter 31 and receiver 32 are shown for simplicity. Multiple pairs are provided in the vehicle width direction. The electromagnetic wave radar 3 transmits an electromagnetic wave E from a plurality of transmitters 31 provided facing the surface of the concrete structure toward the concrete structure, and is reflected at the surface of the concrete structure and at a non-continuous portion in the medium. The reflected wave r (t) is received and amplified by a receiver 32 that is paired with the transmitter 31 provided to face the surface of the concrete structure. The received reflected wave r (t) is subjected to necessary signal processing such as A / D conversion. Most of the existing electromagnetic wave radars have a function of outputting the B mode (grayscale image), but the electromagnetic wave radars used in the present embodiment have a function of outputting time-series waveform data as numerical values.

  The position information acquisition means 4 acquires the inspection position specifying information S for each measurement point MP searched by electromagnetic waves in cooperation with GPS (Global Positioning System) or the like. The “acquisition of the inspection position specifying information S for each measurement point MP” includes an aspect in which the position information of the measurement point MP is included intermittently or continuously including the peripheral position information. For example, the position information acquisition unit 4 May be an imaging device or the like that images the road surface. This inspection position specifying information S is input to the nondestructive inspection device 6 in association with the reflected wave data D for each measurement point MP obtained as a result of the search, or stored in the storage means 7.

  On the other hand, as shown in FIG. 3A, the nondestructive inspection apparatus 6 includes a data receiving unit 61, a reflected wave separating unit 62, a purpose-specific analysis module 63, a reflected wave reseparating unit 63g, a setting input unit 64, a map generation. Means 65 and control means 66 are provided.

  The data accepting unit 61 accepts input of reflected wave data D (for example, 6 reflected waves) and examination position specifying information P for specifying an examination target portion associated therewith.

As shown in FIG. 4, the reflected wave separating unit 62 calculates the prediction from the received reflected wave data D (r (t)) and the predicted signal waveform r _p (t) set through the setting input unit 64. The fundamental reflected waves c _i r ₀ (t−T _i ) (i = 1, 2,..., 6) constituting the signal waveform r _p (t) are separated. The predicted signal waveform r _p (t) based on the basic hypothesis in this embodiment is a six-reflected wave model corresponding to the aforementioned reflected waves r ₁ , r ₂ ,..., R ₆ , that is, the reflection from the surface of the asphalt 12. Asphalt surface reflected wave c ₁ r ₀ (t−T ₁ ) corresponding to wave r ₁ , asphalt bottom reflected wave corresponding to reflected wave r ₂ from the interface between the bottom surface of asphalt 12 and the top surface of floor slab (concrete) 11 c ₂ r ₀ (t−T ₂ ), the crack reflected wave c ₃ r ₀ (t−T ₃ ) corresponding to the reflected wave r ₃ from the crack 14, the longitudinal bars 13 a and the transverse bars 13 b constituting the cross reinforcing bar structure Longitudinal reflected wave c ₄ r ₀ (t−T ₄ ) and transverse reflected wave c ₅ r ₀ (t−T ₅ ) corresponding to reflected waves r ₄ and r ₅ , reflected wave r ₆ from the bottom surface of floor slab 11 slab bottom surface reflected wave c corresponding to r is a 6 reflected wave of _{0 (t-T 6).} Of course, the assumed fundamental reflected wave is increased or decreased as necessary.

The purpose-specific analysis module 63 (63a to 63f) shown in FIG. 3A performs propagation times {T of separated reflected waves c ₁ r ₀ (t−T ₁ ), c ₂ r ₀ (t−T ₂ ). An algorithm necessary for taking in appropriate data among numerical data such as _i } and amplitude {c _i } and calculating a predetermined test value _Dout relating to a specific inspection item is provided. The analysis module according to purpose in this embodiment includes an asphalt float analysis module 63a for inspecting asphalt float as an inspection item, a crack analysis module 63b for inspecting crack as an inspection item, and a reinforcing bar as an inspection item. Reinforcing bar covering analysis module 63c for inspecting covering thickness, reinforcing bar corrosion analyzing module 63d for inspecting deterioration of reinforcing bars as inspection items, compost analysis module 63e for inspecting water impregnation as inspection items, inspection The salt-containing analysis module 63f for inspecting the impregnation of chloride ions as an item.

These analysis module 63a~63f is the calculation result of the reflection wave which is separated by a reflected wave separating means 62 may be used as it is, a test value D _out of more accurate with respect to items related to inspection purposes In order to obtain this, a command for performing further detailed re-separation of the reflected wave with respect to the reflected wave data D and using the result may be included. For this purpose, the nondestructive inspection apparatus 6 includes a reflected wave re-separation unit 63g as shown in FIG. The reflected wave re-separating unit 63g assumes that, for example, the reflected wave related to a specific inspection item is c _x r ₀ (t−T _x ) in the predicted signal waveform r _p (t) of the equation (2). In this case, among the reflected waves c ₁ r ₀ (t−T ₁ ), c ₂ r ₀ (t−T ₂ )... Obtained as a result of the separation, the reflected wave c _x r ₀ (t Reflected wave c _y r ₀ (t−T _y ) other than −T _x ) (y is other than x) The propagation time T _y and the primary coupling coefficient _cy are fixed, and the reflected wave is related to the specific inspection item. c _x r ₀ (t−T _x ) is further subdivided into two reflected waves c _x1 r ₀ (t−T _x1 ) and c _x2 r ₀ (t−T _x2 ), and rewritten in this way ( Based on the equation (2), pattern matching with the reflected wave data D (r (t)) is performed. Of course, as described above, since the fundamental reflected wave has a different waveform type depending on whether the reflection part is a reinforcing bar or not, the pattern matching is based on the fundamental reflected wave of the corresponding waveform type. As a result, the propagation times T _x1 and T _x2 and the primary coupling coefficients c _x1 and c _x2 for the two reflected waves c _x1 r ₀ (t−T _x1 ) and c _x2 r ₀ (t−T _x2 ) are obtained.

  The pattern matching method is basically the same as the method in the reflected wave separating means 62, and the calculation load is drastically reduced due to the small number of variables, and the analysis accuracy in the local area and limited location is remarkably improved by matching limited inspection items. To improve.

  The setting input unit 64 shown in FIG. 3 accepts necessary data setting inputs such as a predicted signal waveform pattern setting based on the hypothesis of the equation (2), setting of inspection items, setting of relative permittivity of the medium, and the like.

The map generating means 65 maps the calculated test value D _out in association with the test position specifying information P. In this embodiment, since a plurality of measurement points MP are set in a two-dimensional direction in a matrix, the test values calculated for each measurement point MP are plotted on a two-dimensional map. The map may be generated in such a manner that a test value layer is superimposed on a map or photo layer.

The control unit 66 supplies the predicted signal waveform r _p (t) and the reflected wave data D (r (t)) input from the setting input unit 64 to the reflected wave separating unit 62 to execute the reflected wave separation, and the separation is performed. The numerical data such as the propagation time {T _i } of the reflected wave and the primary coupling coefficient {c _i } are stored. When an inspection item to be executed is given from the setting input means 64, the corresponding analysis module 63a to 63f according to purpose is activated, and the propagation time of the reflected wave corresponding to the inspection item among the separated reflected waves { Numerical data such as T _i } and linear coupling coefficient {c _i } is delivered, and the test value D _out is calculated by the purpose-specific analysis module 63 and stored. When the purpose-specific analysis modules 63a to 63f include a command for executing the reflected wave re-separation, the reflected wave re-separating unit 63g is activated, and the previously separated propagation time {T _i } and the primary coupling coefficient A part of numerical data such as {c _i } is given as a fixed value, and a specific reflected wave that requires re-separation is rewritten with two reflected waves to be newly matched (see FIG. 4), and the predicted signal waveform r _p (T) and the reflected wave data D (r (t)) are matched again. Then, storing the test value _{D out} of the purpose-specific analysis module 63a~63f was calculated. Finally, the control unit 66 activates the map generation means 65 and delivers the test value D _out together with the test position specifying information P.

  FIG. 3B simply shows the hardware resources of the nondestructive inspection apparatus 6. This nondestructive inspection apparatus is constituted by a computer 100 having a CPU 101, a memory 102, an input interface 103, and an output interface 104. The memory 102 includes reflected wave separation programs, various analysis programs, reflected waves as various programs (software). A re-separation program, a control program, etc. are stored via the input interface 103 or in advance. Then, the CPU 101 calls and executes a predetermined program as appropriate, and cooperates with peripheral hardware to cooperate with the peripheral hardware, the data receiving means 61, the reflected wave separating means 62, the purpose-specific analysis module 63 (63a to 63f), the reflected wave re-storing. It plays the role of the separation unit 63g, the setting input unit 64, the map generation unit 65, the control unit 66, and the like.

Hereinafter, an analysis method for each purpose executed by the analysis module 63 for each purpose will be exemplified.
<Floating analysis of asphalt>

Asphalt floating analysis module 63a in Figure 3, comprises an analysis algorithm for analyzing the intensity of the reflected wave r ₂ reflected by the bottom surface of the asphalt 12 and the phase (reference numeral) as shown in FIG.

The asphalt 12 floats when the adhesion between the asphalt 12 and the floor slab 11 is peeled off. When the asphalt 12 floats, the asphalt bottom surface reflected wave r ₂ is not generated under normal conditions immediately before the reflected wave r ₂₂ reflected from the upper surface of the floor slab 11 as shown in FIG. 5 (b). the reflected wave r ₂₁ which is obtained by inverting the polarity appears. The reflection from the boundary between the space where the asphalt 12 is peeled off and the asphalt 12 has a relative permittivity different from the reflection at the interface between the media of the asphalt 12 and the concrete of the floor slab 11, and the reflected wave This is because the polarity of is reversed. Eventually, the reflected wave r ₂₁ from the bottom surface of the asphalt 12 has a larger amplitude than the reflected wave r ₂₂ from the top surface of the floor slab 11. It will be different polarity of the reflected wave r ₂ of. Therefore, the asphalt bottom reflected wave c ₂ r ₀ (t−T ₂ ) of FIG. 4 with the polarity reversed from the vicinity of the upper surface of the floor slab 11 obtained by the reflected wave separating means 62 through matching based on the hypothesis of the equation (2). extracting, converting the magnitude c ₂ of the asphalt bottom reflected wave into discrete level values in this algorithm. This level value is sent as the test value D _out from the purpose-specific analysis module 63 to the map generation means 65, so that the map generation means 65 maps each measurement point MP based on the associated examination position specifying information P. The level value is plotted on the corresponding part on the upper side, and an asphalt floating map Ma as shown in FIG. 6 is generated.

This module 63a has a function of classifying a hierarchy for each level using a specific value as a threshold value, and a function of attaching different shades, diagonal lines, etc. for each hierarchy. The same applies to the other modules 63b to 63f described below.
Since the amplitude of the reflected wave r ₂ increases as the float increases (therefore, the primary coupling coefficient c _{2 of the} fundamental reflected wave), the position is specified by the map Ma, and the level where the float is generated is estimated based on the level value. be able to.

  FIG. 6 shows the state of floating asphalt for an area of 2.5 m × 5.0 m (corresponding to a length of 1 lane width × 5 m) when applied to a bridge deck of a specific highway. . In the figure, horizontal and vertical lines indicate the positions of the vertical stripes 13a and the horizontal stripes 13b in the upper part of the floor slab 11 in FIG. In addition, a colorless portion is a normal portion, and an abnormal portion is given a different pattern or hatching according to the abnormality level. The numbers B0, B5,..., B20 represent the horizontal stripe numbers. The location and extent of asphalt float is obvious at a glance.

  As the asphalt levitation analysis module 63a, a more detailed algorithm linked with the reflected wave re-separation unit 63g can be used.

As described above with reference to FIG. 5B, the portion of the asphalt 12 that has floated, as described above with reference to FIG. 5B, the reflected wave r _{21 that} is reflected from the bottom surface of the asphalt 12 before the gap caused by floating, and the floor slab 11 that passes through the gap. A slight propagation time difference is produced with respect to the reflected wave r ₂₂ reflected from the upper surface. Therefore, the specific reflected wave c _x r ₀ (t−T _x ) in the hypothesis of the expression (2), that is, the reflected wave c ₂ r ₀ (t−T ₂ ) reflected at the location on the upper surface of the floor slab 11 is shown in FIG. As shown in FIG. 4, two reflected waves c ₂₁ r ₀ (t−T ₂₁ ) and c ₂₂ r ₀ (t−T ₂₂ ) are divided into variables, and the other reflected by the reflected wave separating means 62 is obtained. The reflected wave c _y r ₀ (t−T _y ) (y = 1, 3, 4, 5, 6) is fixed and subjected to pattern matching again in the reflected wave re-separation unit 63g, and the gap generated by floating in advance The relative dielectric constant is stored. Then, the dielectric constant is set to (1/2) times the round-trip propagation time difference between the two reflected waves c ₂₁ r ₀ (t−T ₂₁ ) and c ₂₂ r ₀ (t−T ₂₂ ) obtained by the pattern matching. The amount of floating can be calculated by multiplying the speed of the electromagnetic wave E in the gap. Then, by sending this floating amount to the map generation means 65 as the test value D _out , the map generation means 65 responds on the map Ma for each measurement point MP based on the associated examination position specifying information P. The asphalt floating amount is plotted at the site to be generated, and a more precise asphalt floating map Ma than that in FIG. 6 is generated.

Floating asphalt 12 leads to cracks 14 in floor slab 11 including asphalt 12 defects, and causes a major increase in damage to floor slab 11, so early diagnosis and repair of deteriorated parts Is extremely important and an immediate response is desired. Therefore, it is very important to evaluate the soundness of the structural portion over a wide range from the viewpoint of floating of the asphalt 12, and it will greatly contribute to the efficiency through this embodiment.
<Crack analysis>

Crack analysis module 63b in FIG. 3 comprises an analysis algorithm for analyzing the cracks reflected wave r ₃ reflected by the crack 14 in the bed plate 11 as shown in FIG.

  The crack 14 is mainly caused by corrosion and expansion of the reinforcing bars 13a and 13b. In the case of the floor slab 11, there is little fogging, so the form of the crack 14 usually starts from a reinforcing bar located in the upper layer (in this embodiment, the vertical bar 13a) and proceeds obliquely upward as viewed from the axial direction. The pattern is as shown in (b). When the cracks 14 are connected, the floor slab 11 is peeled off. The crack 14 may become nearly vertical as indicated by reference numeral 14b in FIG. 8 when the fogging is large. Another factor that causes the vertical crack 14b is a load that exceeds the allowable stress. And cases where the load is repeatedly applied over a long period of time.

  Since the factor of rebar corrosion penetrates from the pavement side, the upper rebar (longitudinal rebar; main rebar) 13a corrodes first as described above, but when the lower rebar 13b also corrodes, the crack in FIG. The crack 14 having the same form as that of FIG. 14 also starts in the direction perpendicular to the paper surface in FIG. 7B, starting from the lower reinforcing bar 13b, and two types of cracks 14 enter vertically and horizontally.

  Further, when viewed from a direction perpendicular to the vertical stripe 13a, a crack 14c may be formed obliquely as shown in FIG. As a factor, there is a case where an extreme twist load is generated on the housing. In addition, there is an initial defect (due to insufficient compaction, etc.) in the gap that can be grasped as the crack 14. Although the ready-mixed concrete sinks during compaction, the reinforcing bars 13a and 13b interfere with each other, so that the compaction tends to be insufficient. Even structures without reinforcing bars cause gaps due to partial forgetting of compaction. There are many cases where this type of gap occurs in places where compaction is difficult to achieve, such as narrow spaces and overcrowded portions of reinforcing bars.

As described above, the crack 14 is generated due to various factors and forms, and the crack reflected wave r ₃ is generated at the generated crack 14 as shown in the left diagram of FIG. As the crack 14 becomes larger, the amplitude (and hence the primary coupling coefficient of the fundamental reflected wave) becomes larger. Therefore, the crack reflected wave c ₃ r ₀ (t−T ₃ ) of FIG. 4 which is a reflected wave from the crack 14 separated by the reflected wave separating means 62 through matching based on the hypothesis of the equation (2) is extracted, and the crack the size c ₃ of the reflected waves into a discrete level value in this algorithm. This level value is sent as the test value D _out from the purpose-specific analysis module 63 to the map generation means 65, so that the map generation means 65 maps each measurement point MP based on the associated examination position specifying information P. The level value is plotted on the corresponding part above, and the crack occurrence map Mc of FIG. 9 is generated. Matrix numbers right and subjected to the upper side of a vertical stripe and a horizontal stripe numbers, numbers assigned in the matrix is a level value, which represents that the greater the more the reflected wave r ₃ greater value.

In FIG. 9, for comparison, a place where the crack 14 is recognized by the hammering inspection after the asphalt is peeled is surrounded by a free curve (circle), but the portion where the reflected wave r ₃ is large and the crack detection by the hammering sound are detected. The result is almost the same as the position.

  Note that a more detailed crack thickness analysis algorithm linked to the reflected wave re-separation unit 63g of FIG. 3 can be used for the crack analysis module 63b.

The reflection from the crack, as shown in FIG. 7 (c) right figure, the reflected wave r ₃₁ reflected by the concrete interface in front of the crack, the reflected wave r ₃₂ reflected by the concrete surface at the site which has passed through the cracks There is a slight propagation time difference between them. Therefore, the crack reflected wave c ₃ r ₀ (t−T ₃ ) in FIG. 4 in the hypothesis of the equation (2) is changed to two reflected waves c ₃₁ r ₀ (t−T ₃₁ ) and c ₃₂ r ₀ (t−T ₃₂ ). And the other reflected wave c _y r ₀ (t−T _y ) (y = 1, 2, 4, 5, 6), which is clarified in the reflected wave separating means 62, is fixed and reflected. The wave re-separation unit 63g is subjected to pattern matching again, and the relative permittivity of the void generated by the crack 14 is stored in advance. Then, the ratio of the two reflected waves c ₃₁ r ₀ (t−T ₃₁ ) and c ₃₂ r ₀ (t−T ₃₂ ) newly obtained by this pattern matching to (1/2) times the round-trip propagation time difference The velocity of the electromagnetic wave in the crack based on the dielectric constant {the velocity of the electromagnetic wave v is v = c / (ε) ^1/2 , where c is the speed of light, where ε is the relative dielectric constant of the propagation medium} Can be calculated. By sending this crack thickness data to the map generation means 65 as the test value D _out , the map generation means 65 is sent to the corresponding part on the map for each measurement point MP based on the associated inspection position specifying information P. The crack thickness is plotted, and a crack generation map Mc that is more strict than FIG. 9 is generated.

In the normal crack 14, only one crack reflected wave is obtained immediately below the measurement point MP. However, in the vertical crack 14 b (including those close to vertical) as shown in FIG. A plurality of crack reflected waves may be received. Therefore, if the hypothesis of equation (2) is made into a model of 7 reflected waves or more, or if it is estimated that the reflection point is close, the crack of FIG. 4 separated through matching based on the hypothesis of equation (2) The reflected wave c ₃ r ₀ (t−T ₃ ) is divided into a plurality of crack reflected waves c ₃₁ r ₀ (t−T ₃₁ ), c ₃₂ r ₀ (t−T ₃₂ ),. If the reflected wave re-separation unit 63g performs pattern matching again, the vertical crack 14b can be detected.

Since the crack 14 is a sign of a decrease in strength or damage to the concrete structure, it is extremely important to diagnose it early and repair the deteriorated portion. Since the crack 14 occurs in the structure, enormous labor and time are required to perform the hammering inspection by peeling the asphalt 12 over a wide area of the highway, but without breaking (without cutting the pavement). It is very important to evaluate the soundness of the structure from the viewpoint of the occurrence of cracks, and this contributes greatly to the improvement of efficiency through the present embodiment.
<Coating analysis of reinforcing bars>

  The reinforcing bar covering analysis module 63c in FIG. 3 includes a reinforcing bar covering amount analysis algorithm for analyzing the covering thicknesses d1 and d2 of the reinforcing bars as shown in FIG.

Rebar 13a, and 13b fog, that is, the distance d1, d2 between the surface and the vertical line 13a or horizontal stripes 13b of the concrete 11, the reflected wave reflected by the reflection wave _{r 2} and rebar 13a reflected on the top surface of the concrete 11 in the former It is obtained by multiplying (1/2) times the propagation time difference with r ₄ by the speed of the electromagnetic wave in the concrete 11 based on the relative dielectric constant. In the latter case, the reflected wave r ₂ reflected from the upper surface of the concrete 11 and the reinforcing bar 13 b This is obtained by multiplying (1/2) times the propagation time difference with the reflected wave r ₅ to be reflected by the speed of the electromagnetic wave in the concrete 11 based on the relative dielectric constant.

Therefore, the reflected waves c ₂ r ₀ (t−T ₂ ) and c ₄ r ₀ (t−) of FIG. 4 corresponding to the reflected waves separated by the reflected wave separating means 62 through matching based on the hypothesis of the equation (2). Based on T ₄ ) and c ₅ r ₀ (t−T ₅ ), the reinforcing bar covering analysis module 63c calculates the covering thickness and sends it to the map generating means 65 as the test value D _out , thereby generating the map generating means 65. , Based on the associated examination position specifying information P, plots the covering thickness at the corresponding part on the map for each measurement point MP, and generates a reinforcing bar covering map (not shown). This coating thickness can also be calculated as the distance between the asphalt surface a and the reinforcing bars 13a and 13b.

If such a reinforcing bar covering map is used, it can be effectively used for repair work or the like, and the convenience of highway maintenance can be significantly improved.
<Rebar corrosion analysis>

The reinforcing bar corrosion analysis module 63d in FIG. 3 includes an analysis algorithm for capturing the corroded portion 13x from the reflected waves r ₄ and r ₅ reflected by the reinforcing bars 13a and 13b as shown in FIG.

When the reinforcing bars 13a and 13b are corroded, the level value of the reflected wave changes. Therefore, the rebar reflected waves c ₄ r ₀ (t−T ₄ ) and c ₅ r ₀ (t−T) of FIG. 4 among the reflected waves obtained by the reflected wave separating means 62 through matching based on the hypothesis of the equation (2). ₅ ) is extracted and the magnitude of its amplitude (and hence the primary coupling coefficient of the fundamental reflected wave) c ₄ , c ₅ is converted into discrete level values in this algorithm. This level value is sent as the test value D _out from the purpose-specific analysis module 63 to the map generation means 65, so that the map generation means 65 maps each measurement point MP based on the associated examination position specifying information P. The level value is plotted on the corresponding part above to generate the reinforcing bar corrosion map Mi shown in FIG.

  With this map Mi, the corrosion position can be specified, and the corrosion level of the reinforcing bar can be measured based on the level value.

  As described above, the crossed reinforcing bars are composed of the vertical bars 13a and the horizontal bars 13b. Since the equation (2) includes these, the map in which the corrosion state can be confirmed along the vertical bars 13a and the horizontal bars 13b as shown in FIG. Is expected to be obtained.

  As the reinforcing bar corrosion degree analysis module 63d, a more detailed corrosion degree analysis algorithm linked with the reflected wave re-separation unit 63g can be used.

For example, in reflection at the portion where reinforcing bars 13a is corroded, as shown in FIG. 11 (b), and the reflected wave r ₄₁ vertical stripe 13a reflected at the interface between the front of the concrete voids caused by corrosion, through the air gap The combined wave with the reflected wave r ₄₂ reflected at the interface with the non-corroded portion of the reinforcing bar becomes the vertical reflected wave r _{4 in} FIG. 6A, and a slight propagation time difference is generated between the reflected waves r ₄₁ and r _42. . Similarly, the reflected wave _{r 5} lateral stripes 13b, the composite wave of the two reflected waves _{r 51, r 52} is the lateral stripes reflected wave _{r 5.} Therefore, the reflected waves c ₄ r ₀ (t−T ₄ ) {or c ₅ r ₀ (t−T ₅ )} shown in FIG. Reflected waves c ₄₁ r ₀ (t−T ₄₁ ), c ₄₂ r ₀ (t−T ₄₂ ) {or c ₅₁ r ₀ (t−T ₅₁ ), c ₅₂ r ₀ (t−T ₅₂ )} The reflected wave c _y r ₀ (t−T _y ) that has been clarified in the reflected wave separating means 62 is fixed and subjected to pattern matching again in the reflected wave re-separating unit 63g. The relative dielectric constant of the void caused by corrosion is stored. Then, two reflected waves c ₄₁ r ₀ (t-T ₄₁ ), c ₄₂ r ₀ (t-T ₄₂ ) {or c ₅₁ r ₀ (t-T ₅₁ ), c ₅₂ r ₀ (t-T ₅₂ )} is multiplied by the speed of the electromagnetic wave E of the corroded portion based on the relative permittivity to (1/2) times the reciprocal propagation time difference of ₅₂ )}, the thickness of the corrosion can be calculated. Then, by sending this corrosion thickness as the test value D _out to the map generation means 65, the map generation means 65 corresponds to the corresponding part on the map for each measurement point based on the associated inspection position specifying information P. Plot the reinforcing bar corrosion degree to generate a reinforced reinforcing bar corrosion map Mi more strict than FIG. In the above, individual pattern matching can be performed for the vertical bars 13a or the horizontal bars 13b. In some cases, it is of course possible to calculate the corrosion degree for only one reinforcing bar.

  As mentioned above, corrosion of reinforcing bars causes cracks and peeling of floor slabs, and above all, directly reduces the strength of concrete structures, so it is extremely important to diagnose early and repair the deteriorated parts. is there. In this case, since the reinforcing bars are buried in the structure, enormous labor and time are required to perform the inspection by removing the asphalt over a wide area of the highway. In addition, there has been no method for measuring the corrosion rate of reinforcing steel bars with high accuracy. Therefore, it is very important to evaluate the soundness of the structural portion without destroying (without cutting the pavement) from the viewpoint of reinforcing bar corrosion, and this embodiment will greatly contribute to the efficiency improvement.

  <Analysis of compost>

The sediment analysis module 63e in FIG. 3 includes a moisture content analysis algorithm for analyzing the sediment level from the reflected waves r ₁ and r _{2 on} the upper and lower surfaces of the asphalt 12 containing water as shown in FIG.

For example, among the reflected waves obtained by the reflected wave separating means 62 of FIG. 4 through matching based on the hypothesis of the expression (2), the reflected waves r ₁ and r ₂ reflected by the asphalt upper surface and the bottom surface are c ₁ r ₀ ( t−T ₁ ), c ₂ r ₀ (t−T ₂ ) are extracted, and (1/2) times their propagation time difference is multiplied by the speed of the electromagnetic wave in the asphalt 12 based on the relative permittivity. The thickness value dx of the asphalt 12 is obtained. However, when the asphalt 12 is impregnated with water, the relative dielectric constant ε _x changes to δ _x and the velocity c / √ε _x of the electromagnetic wave E propagating in the asphalt changes to c / √δ _x . Therefore, the thickness value dx of the asphalt 12 is given in advance, the relationship between the moisture content and the relative dielectric constant in the asphalt is stored, the propagation time difference is measured, and the relative dielectric constant is calculated from the speed of the electromagnetic wave. The water impregnation rate can be calculated only from the propagation time difference. Then, by sending this moisture content to the map generation means 65 as the test value D _out , the map generation means 65 corresponds to each measurement point MP on the map based on the associated examination position specifying information P. The moisture content is plotted on the part, and the compost map Mw is generated. The above can simplify the calculation by assuming that the water is uniformly accumulated on the propagation path of the electromagnetic wave and treating it as an average value. Of course, even if the relationship between the moisture content and the relative dielectric constant in the asphalt is not given in advance, the difference in propagation time varies depending on the moisture content, so the moisture content can be measured even with only the difference in propagation time. Can be effectively handled as a test value.

  In addition, when calculating the thickness of the asphalt 12 and the floor slab 11, the cover thickness of the reinforcing bars 13a and 13b based on the propagation time difference of the electromagnetic wave, the relative dielectric constant of each layer must be clear in advance. In order to calculate the moisture content of the asphalt 12, the floor slab 11, etc., the thickness of each layer must be clear beforehand. That is, for example, it is estimated that the relative permittivity is reduced to some extent, for example, the former is estimated to be in a certain state (for example, a dry state) from the road surface to a certain depth, and the latter, Each purpose analysis module 63 (63a to 63f) needs to be applied without contradiction to each other, for example, the thickness needs to be measured in advance.

  Although the experiment has not been performed, FIG. 14 is an image diagram of the sewage map Mw, and a portion requiring repair can be estimated.

  The above is exactly the same for the slab water.

Even if the pavement or floor slab is filled with water, it will be a major factor in the progress of deterioration of the concrete structure, so it is extremely important to detect it early and take care.
<Analysis of salt damage>

The compost analysis module 63e in FIG. 3 includes a salt content analysis algorithm for analyzing the salt damage degree from the reflected waves r ₁ and r _{2 on} the upper and lower surfaces of the asphalt 12 containing chloride ions as shown in FIG. .

For example, among the reflected waves obtained by the reflected wave separating means 62 of FIG. 4 through matching based on the hypothesis of the formula (2), the reflected wave component c ₁ r ₀ (t−T ₁ ) reflected on the asphalt top and bottom surfaces, c ₂ r ₀ (t−T ₂ ) is extracted, and the attenuation rate of electromagnetic waves generated by passing through the asphalt which is a medium can be calculated from the sizes c ₁ and c ₂ .

  It is predicted that the electromagnetic wave velocity is not affected by the presence of chloride ions in salt water, but rather may affect the attenuation rate.

Therefore, by sending the above attenuation rate as the test value _Dout to the map generation unit 65, the map generation unit 65 responds on the map for each measurement point MP based on the associated inspection position specifying information P. Attenuation rate is plotted at the site to be generated, and a salt damage map Ms shown in FIG. 16 is generated. The above can simplify the calculation by assuming that chloride ions are uniformly distributed on the propagation path of electromagnetic waves and treating them as an average value.

  Since the attenuation rate varies depending on the internal structure of the inspection object, construction conditions, etc., the attenuation rate obtained here is difficult to compare between different inspection objects, but as a relative evaluation value for the same inspection object, It is meaningful and it can be determined that the higher the attenuation rate, the higher the salt content.

  Although no experiment was performed, FIG. 16 is an image diagram of the salt damage map Ms. For example, it is expected that data having a high salt content is obtained along the antifreezing agent spray line.

  The same applies to the salt content of the floor slab.

  On highways, anti-freezing material (sodium chloride) is sprayed in large quantities in cold regions to prevent road surface freezing in winter. Chloride ions permeate into the concrete structure to cause corrosion (salt damage) of the reinforcing bars. As a result, damage to the concrete structure such as cracks, peeling and potholes occurs.

  Although repairs will be initiated depending on the damage situation, it is very important to evaluate the soundness of the structural parts without destroying them (without cutting the pavement) for economical and efficient repairs. Through this embodiment, it will greatly contribute to the efficiency improvement.

Although the above is calculated on the assumption that the concentration of chloride ions is uniform inside the concrete, strictly speaking, the concentration inside the concrete due to the penetration of chloride ions is not constant, Concentrations are distributed according to Fick's diffusion equation. That is, salinity penetrates into concrete with time, and the chloride ion concentration in the depth direction is (1) supply amount of concrete (Co), (2) elapsed years (t), and (3) penetration of concrete. It depends on ease (D) and depth (X).
The above-mentioned (1) and (3) differ depending on the progress of cracks in the pavement, the soundness of the floor slab, and the survey position of the floor slab, so the planar chloride ion concentration (supply amount) differs. Even in the depth direction, the chloride ion concentration is different.

For example, based on the chloride ion concentration supplied to the concrete surface,
C (x, t) = Co (1-erf (x / (2√ (D · t)))) (4)
It is represented by here,
C (x, t): Chloride ion concentration (kg / m ³ ) for depth X and elapsed time t years
C ₀ : Chloride ion concentration supplied to the concrete surface (kg / m ³ )
X: Depth from concrete surface (cm)
D: Diffusion coefficient of chloride ion (ease of diffusion) (cm ² / year)
t: Elapsed time (year)
It is.

  Considering the fact that if the chloride concentration is different, the attenuation rate of electromagnetic waves passing through the medium also changes, and not all chloride ions supplied to the concrete surface penetrate and diffuse into the concrete. If the above-described chloride ion impregnation rate is calculated as a function relating the electromagnetic wave attenuation rate to the concentration distribution, a map closer to the actual situation can be generated.

The possibility of generating a more accurate sewage map can also be pursued by correcting the water content already mentioned in consideration of the distribution when water permeates from the asphalt surface.
<When floor slabs and paving materials have a laminated structure>

  The floor slab 11 and the asphalt 12 as a paving material are not always a homogeneous medium as a whole. For example, when concrete placement or asphalt pavement is performed at different times, these have a laminated structure, and the individual layers differ in materials and work environment during placement and pavement. Therefore, there are many cases where the properties as a medium are different. Therefore, it is more desirable to grasp the above-described water storage status for each layer.

Therefore, for example, when the above-described water analysis module 63e and salt damage analysis module 63f are applied to the floor slab 11 having a laminated structure of a plurality of layers B1 and B2, as shown in FIG. 17, between the layers B1 and B2. Corresponding to the reflected wave r ₇ to be reflected, a reflected wave c ₇ r ₀ (t−T ₇ ) is newly added to the hypothesis of the expression (2), and then reflected waves (r ₂ , r ₇ ), numerical data related to the reflected wave corresponding to (r ₇ , r ₆ ) is acquired, and a test value for measuring the moisture content in the medium for each layer B 1, B 2 may be calculated. It becomes effective.

The above is exactly the same when the asphalt 12 has a laminated structure of a plurality of layers.
<Analysis of anomalous part on asphalt surface>

  Furthermore, if the above method is used, as another application of the nondestructive inspection apparatus, it is also possible to perform anomaly analysis of a water pool or a recess formed on the asphalt surface.

  In this case, it is effective to incorporate an asphalt surface analysis module as described below into one of the purpose-specific analysis modules 63 in FIG.

  The asphalt surface analysis module includes a processing procedure for detecting when a recess is present on the asphalt surface and a puddle is formed in the recess, and a processing procedure for detecting a recess present on the asphalt surface during drying.

First, the case where it is concave Z as shown in FIG. 18 (a) to the asphalt surface puddle occurs, the reflected wave r ₁ of the asphalt surface is increased. This is clear from the equation (1) because the relative permittivity of asphalt is approximately 5 to 6 while the relative permittivity of water is 81. Therefore, the asphalt reflected wave c ₁ which is a reflected wave from the surface of the asphalt 12 separated by the reflected wave separating means 62 shown in FIGS. 3 and 4 through scanning based on the hypothesis of the equation (2) after scanning the road surface. r ₀ (t−T ₁ ) is extracted, and the magnitude c ₁ of the asphalt reflected wave r ₁ is converted into a discrete level value in this algorithm. This level value is sent as the test value D _out from the purpose-specific analysis module 63 to the map generation means 65, so that the map generation means 65 maps each measurement point MP based on the associated examination position specifying information P. The level value can be plotted on the corresponding portion above to generate an asphalt surface anomaly occurrence map (not shown) regarding the water pool.

  In this case, as this asphalt surface analysis module, a more detailed asphalt surface analysis algorithm linked to the reflected wave re-separation unit 63g can be used.

That is, when the puddle occurs in recess Z asphalt surface as shown in FIG. 18 (b), the reflected wave r ₁₂ is received from the bottom surface of the recess Z with a small propagation time difference in the vicinity of the reflected wave r ₁₁ reflected by the surface of the water Is done. Therefore, the asphalt reflected wave c ₁ r ₀ (t−T ₁ ) in FIG. 4 in the hypothesis of the expression (2) is changed into two reflected waves c ₁₁ r ₀ (t−T ₁₁ ) and c ₁₂ r ₀ (t−T ₁₂ ). And the other reflected wave c _y r ₀ (t−T _y ) (y = 2, 3, 4, 5, 6), which is clarified in the reflected wave separating means 62, is fixed and reflected. The wave re-separation unit 63g performs pattern matching again, and stores the relative permittivity of water or the like as a medium of the abnormal part. Based on the relative permittivity, the difference between the two newly obtained reflected waves c ₁₁ r ₀ (t−T ₁₁ ) and c ₁₂ r ₀ (t−T ₁₂ ) is (1/2) times the round-trip propagation time difference. The velocity of the electromagnetic wave in the anomalous portion {the velocity of the electromagnetic wave v is v = c / (ε) ^1/2 , where c is the speed of light, where ε is the relative dielectric constant of the propagation medium}. Or the thickness of the recess can be calculated. Then, by sending this puddle thickness data to the map generation means 65 as the test value D _out , the map generation means 65 responds on the map for each measurement point MP based on the associated inspection position specifying information P. It is possible to plot the water pool thickness (depth of the concave portion) at the site to be generated, and generate an asphalt surface anomaly portion generation map relating to the water pool or the concave portion (not shown).

On the other hand, it is possible to detect the recesses Z present on the surface of the asphalt 12 even during drying (day when the weather is good and no puddle is generated). That is, the reflected wave from the asphalt surface in this case has a propagation time T ₁₁ of the reflected wave r _{11 on} the asphalt surface where the propagation time T ₁₂ of the reflected wave r ₁₂ in the recess is normal as shown in FIG. Bigger than. Therefore, the speed of the electromagnetic wave in the air (the speed of the electromagnetic wave v is v = c / (ε) ^1/2 , where ε is the relative dielectric constant of the propagation medium, If c is multiplied by the speed of light}, the thickness of the concave portion which is an abnormal portion can be calculated. Then, by sending this recess thickness data as the test value _Dout to the map generation means 65, the map generation means 65 corresponds to each measurement point MP on the map based on the associated inspection position specifying information P. The thickness (depth) of the concave portion can be plotted on the portion, and an asphalt surface abnormal portion occurrence map regarding the concave portion Z can be generated (not shown).

In addition, lastly, a pothole can be cited as one that can be appropriately handled by the early diagnosis of the present embodiment. The pothole is a phenomenon in which the surface portion of the pavement is peeled off into a circular shape or sinks due to some cause, and the following factors can be considered.
1) Case where the surface layer part is peeled off in a circular shape a) The case where the surface is enlarged from a single crack to a turtle shell shape for some reason, and the surface pavement pops out to form a circular hole. Progress (expansion) from a crack to a turtle-shell shape is likely to occur when rainwater penetrates into the crack, and progresses to the pothole in a short time. Generally, the surface layer of a concrete structure is damaged, but a pothole caused by damage to the base layer and the roadbed is not uncommon.
b) When the pavement thickness is insufficient or the pavement strength is insufficient, the pavement surface sinks due to traffic load, cracks are generated in the pavement, rainwater penetrates, and the dent becomes large, or When the pavement is subdivided (crushed) and scattered on the road surface by passing traffic, and the pit becomes deep, it reaches the pothole.
c) Even in the earthwork department, due to insufficient strength of the roadbed under the pavement, the entire pavement sinks, deforms and cracks, including the surface layer part or base layer part, and the surface pavement is broken by the passing traffic, There are cases where it scatters and leads to a pothole.
d) Deterioration factors permeate from the cracks in the pavement, causing deterioration of the bridge floor slab, cracks in the pavement, and progressing to the pothole.
e) Oil falls on the pavement surface, and the pavement is cut back (a phenomenon in which the pavement mixture hardened with asphalt breaks apart due to the oil: the situation where the caking force is lost), and the pavement scatters and the pot Sometimes it leads to a hall.
2) When sinking and sinking, the pavement surface sinks due to insufficient pavement thickness or proof stress, which is the situation that can be said to be the first stage of the pothole shown in 1) above.

  If left untreated, rainwater enters the cracks, the pavement is subdivided, the subdivided material is scattered on the pavement surface, and the pothole is enlarged. Same as 1) b) above.

  In any of the above cases, when water intervenes, the speed of progressing to the pothole is fast, and preventing water penetration is a major premise for preventive maintenance. Therefore, discovery of voids, discovery of the state of water accumulation, and the like according to the present embodiment can be extremely useful in terms of preventing the occurrence of such potholes.

  Although one embodiment of the present invention has been described above, the specific configuration of each part is not limited to the above-described embodiment, and various modifications can be made without departing from the spirit of the present invention.

  For example, the optimization method is not necessarily limited to the pattern matching of the above formula (2) and its evaluation function, and if there is another similarity determination method suitable for speed improvement, the algorithm can be effectively employed. .

  Moreover, although the said embodiment was applied to the highway, it cannot be overemphasized that it can apply similarly to roads other than a highway.

Schematic which shows the test | inspection model which concerns on one Embodiment of this invention. The figure which shows the vehicle, apparatus, and system which are used for the nondestructive inspection in the same embodiment. The block diagram which shows the function structure and hardware resource of the nondestructive inspection apparatus of the embodiment. Functional explanatory drawing of the reflected wave separation means and reflected wave reseparation part of the embodiment. Explanatory drawing of the asphalt floating analysis in the same embodiment. The figure which shows the asphalt floating map produced | generated in the embodiment. Explanatory drawing of the crack analysis in the same embodiment. Explanatory drawing of the crack analysis in the same embodiment. The figure which shows the crack map produced | generated in the embodiment. Explanatory drawing of the reinforcing bar covering analysis in the same embodiment. Explanatory drawing of the reinforcement corrosion analysis in the same embodiment. The figure which shows the rebar corrosion map produced | generated in the embodiment. Explanatory drawing of the water analysis in the same embodiment. The figure which shows the sewage map produced | generated in the embodiment. Explanatory drawing of the salt damage analysis in the same embodiment. The figure which shows the salt damage map produced | generated in the embodiment. The figure which shows the more detailed analysis method of compost and salt damage in the embodiment. Explanatory drawing of the asphalt surface abnormality analysis in the same embodiment.

Explanation of symbols

3 ... Electromagnetic wave exploration means (electromagnetic wave radar)
DESCRIPTION OF SYMBOLS 4 ... Position information acquisition means 5 ... Non-destructive inspection vehicle 6 ... Non-destructive inspection device 7 ... Storage means 51 ... Vehicle main body 61 ... Data reception means 62 ... Reflected wave separation means 63a ... Analysis module classified by purpose (asphalt floating analysis module)
63b ... Analysis module by purpose (crack analysis module)
63c ... Analysis module by purpose (rebar covering analysis module)
63d ... Analysis module by purpose (rebar corrosion analysis module)
63e… Analysis module by purpose (compost analysis module)
63f ... Analysis module by purpose (salt damage analysis module)
63 g ... reflected wave reisolated 64 ... setting input means 65 ... map generating unit E ... electromagnetic MP ... Measurement Point _{r (t), r 1,} r 2, r 3, r 4, r 5, r 6 ... reflected wave r _p (t): Predicted signal waveform r ₀ (t): Basic reflected wave

Claims (20)

A data receiving means for receiving time-series reflected wave data acquired by irradiating an electromagnetic wave to a concrete structure to be inspected, and a plurality of basic reflected waves in terms of time based on the received reflected wave data and a hypothesis. A reflected wave separating means for separating the reflected wave data into a plurality of fundamental reflected waves by performing pattern matching with the predicted signal waveform shifted and linearly coupled, and a fundamental reflected wave separated by the reflected wave separating means One or a plurality of purpose-specific analysis modules for calculating a predetermined test value related to the test item from numerical data such as a propagation time and a primary coupling coefficient based on a fundamental reflected wave related to the specific test item, Setting input means for receiving settings / inputs, etc., and the specific purpose corresponding to the inspection item received by the setting input means It activates the analysis module, nondestructive inspection apparatus which is characterized in that so as to perform the calculation of the test value based on the fundamental reflected waves associated with the test item. Among the basic reflected waves separated by the reflected wave separating means, the specific inspection is performed in a state where numerical data such as a propagation time and a primary coupling coefficient related to the basic reflected wave other than the basic reflected wave related to the specific inspection item are fixed. A reflected wave re-separating unit that further subdivides the fundamental reflected wave related to the item and performs pattern matching again between the predicted signal waveform with the number, propagation time, and primary coupling coefficient as variables and the actual reflected wave data. 2. The nondestructive inspection apparatus according to claim 1, wherein the non-destructive inspection apparatus is configured to cause the analysis module for each purpose to perform more detailed calculation of the test value based on the numerical data of the fundamental reflected wave re-separated by the reflected wave re-separating unit. . One of the purpose-based analysis modules acquires numerical data on one or more fundamental reflected waves necessary to capture the floating that occurs near the interface between the pavement and the floor slab, and the magnitude of the one fundamental reflected wave Asphalt levitation analysis module configured to calculate a predetermined test value related to pavement floating based on the difference in propagation time of the two or more fundamental reflected waves in consideration of the relative permittivity of the gap generated in the floating portion The nondestructive inspection apparatus according to claim 1 or 2. One of the purpose-specific analysis modules obtains numerical data related to one or more fundamental reflected waves necessary for capturing cracks in a concrete structure, and the magnitude of the fundamental reflected wave or the inside of the crack The crack analysis module configured to calculate a predetermined test value related to a crack based on a propagation time difference between the two or more fundamental reflected waves in consideration of a relative dielectric constant in Nondestructive inspection equipment. One of the purpose-based analysis modules acquires the numerical data on two or more fundamental reflected waves necessary to capture the position of the reinforcing bar in the depth direction in the concrete structure, and the relative dielectric of the medium covering the reinforcing bar 3. A reinforcing bar covering analysis module configured to calculate a predetermined test value relating to a covering of a medium on a reinforcing bar based on a propagation time difference between the two or more fundamental reflected waves in consideration of a rate. Non-destructive inspection equipment described in 1. One of the purpose-specific analysis modules treats the fundamental reflected waves corresponding to the reflected waves from the vertical and horizontal bars that make up the crossed reinforcing bars in the concrete structure as different waveforms, and the corrosion of each of these reinforcing bars. The numerical data on one or more fundamental reflected waves necessary to capture the data is obtained for each reinforcing bar, and the two or more of the fundamental reflected waves in consideration of the magnitude of the one fundamental reflected wave or the relative dielectric constant in the corroded part. 3. The nondestructive inspection apparatus according to claim 1, wherein the non-destructive inspection apparatus is a reinforcing bar corrosion analysis module configured to simultaneously calculate a predetermined test value relating to corrosion of each reinforcing bar based on a propagation time difference of the fundamental reflected wave. One of the purpose-specific analysis modules acquires numerical data regarding two or more fundamental reflected waves reflected on the upper and lower surfaces of a specific medium, and at least in the medium based on a propagation time difference between the two or more fundamental reflected waves in the medium. The nondestructive inspection apparatus according to claim 1, wherein the non-destructive inspection apparatus is a sediment analysis module configured to calculate a test value necessary for measuring a moisture content of the water. One of the purpose-specific analysis modules acquires numerical data on two or more fundamental reflected waves that are reflected on both the upper and lower surfaces of a specific medium, and based on the magnitude of the two or more fundamental reflected waves, a specific fundamental reflected wave is obtained. 3. A salt damage analysis module configured to calculate an attenuation rate of electromagnetic waves when passing through a specific medium as a test value for relative evaluation of a chloride ion impregnation rate in the medium. The nondestructive inspection device according to any one of the above. When the specific medium is a floor slab or paving material, and the inside is composed of a laminated structure of a plurality of floor slab layers or asphalt layers having different properties, the analysis module for each purpose reflects the upper and lower surfaces for each layer. 9. The nondestructive inspection apparatus according to claim 7, wherein numerical data relating to a reflected wave is acquired and a test value for each layer is calculated. When the specific medium is a floor slab with a reinforcing bar inside, it is assumed that the floor slab is divided into two sections by the reinforcing bar from the floor slab upper surface to the reinforcing bar, and from the reinforcing bar to the floor slab bottom, The nondestructive device according to claim 7, wherein the analysis module for each purpose is configured to cause the numerical data related to the fundamental reflected wave reflected on both the upper and lower surfaces to be obtained for each section and to calculate a test value for each section. Inspection device. 11. The data receiving means is for simultaneously receiving inspection position specifying information associated with reflected wave data, and further comprises a map generating means for mapping the calculated test value based on the inspection position specifying information. The nondestructive inspection device according to any one of the above. 12. The data receiving means receives reflected wave data obtained at a plurality of measurement points in a matrix form in a two-dimensional direction, and the map generation means plots test values for each measurement point on a two-dimensional map. Nondestructive inspection equipment. Electromagnetic wave exploration means for obtaining reflected wave data by irradiating electromagnetic waves to the pavement surface of the concrete structure to be inspected, position information obtaining means for obtaining inspection position specifying information regarding the measurement point subjected to electromagnetic wave exploration, and these The storage means for storing the reflected wave data and the inspection position specifying information in association with each other is mounted on the nondestructive inspection vehicle, and the reflected wave data and the inspection position specifying information stored in the storage means are described in any one of claims 11 and 12. A nondestructive inspection system characterized in that nondestructive inspection is performed by inputting data into a nondestructive inspection apparatus. An electromagnetic wave exploration means for obtaining reflected wave data by irradiating the pavement surface of a concrete structure to be inspected, and a position information obtaining means for obtaining inspection position specifying information regarding the measurement point subjected to the electromagnetic wave exploration, 12 is mounted on a vehicle body together with the nondestructive inspection apparatus according to any one of claims 12 and inputs reflected wave data from the electromagnetic wave exploration means and inspection position specifying information from the position information acquisition means to the data receiving means of the nondestructive inspection apparatus A vehicle for non-destructive inspection, characterized by A program that, when read by a computer, functions at least as reflected wave separation means constituting the nondestructive inspection apparatus according to any one of claims 1 to 12. A program that functions as at least a reflected wave separation means and a reflected wave re-separation unit constituting the nondestructive inspection apparatus according to any one of claims 1 to 12 when read by a computer. A program that is read by a computer and functions as a purpose-specific analysis module in association with the program according to claim 15 or 16. A data receiving step for receiving time-series reflected wave data acquired by irradiating an electromagnetic wave to a concrete structure to be inspected, and a plurality of basic reflected waves in terms of time based on the received reflected wave data and a hypothesis. Reflected wave separation step for separating the reflected wave data into a plurality of fundamental reflected waves by performing pattern matching with the predicted signal waveform shifted and linearly combined, and a setting input receiving step for receiving setting / input of inspection items And a predetermined test value relating to the inspection item from numerical data such as a propagation time and a primary coupling coefficient based on the basic reflection wave related to the received inspection item among the basic reflection waves separated by the reflected wave separating means. A non-destructive inspection method comprising: a purpose-based analysis step to be calculated. Among the basic reflected waves separated by the reflected wave separation step, the specific inspection is performed in a state in which numerical data such as a propagation time and a primary coupling coefficient related to the basic reflected wave other than the basic reflected wave related to the specific inspection item are fixed. A step of re-separating the reflected waves related to the items and further performing pattern matching between the predicted signal waveform and the actual reflected wave data with the number, propagation time, and primary coupling coefficient as variables is further subdivided. 19. The nondestructive inspection method according to claim 18, wherein a more detailed test value is calculated in the analysis step for each purpose based on numerical data of the fundamental reflected wave re-separated in the reflected wave re-separating step. In the data reception step, a map generation step is provided for further mapping the test value calculated in the purpose-specific analysis step based on the test position specifying information by simultaneously receiving the test position specifying information associated with the reflected wave data. The nondestructive inspection method according to claim 18 or 19.

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