Covering depth instrumentation system and covering depth instrumentation jig and covering depth instrumentation method

Abstract

To provide a covering depth instrumentation system, a covering depth instrumentation jig, and a covering depth instrumentation method that facilitate the measurement of covering depth.SOLUTION: A covering depth instrumentation jig according an embodiment of the present disclosure that measures the distance between a reinforcing-bar and a concrete wall comprises an adjustment part for adjusting the position of the reinforcing-bar and a top plate part, a stopper part that slides in response to the vertical movement of a sliding portion provided on the top plate part, an index part that moves in response to the movement of the stopper part and serves as an indicator for measuring the covering depth, and a scale part that measures the distance the index part has moved.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present disclosure relates to a cover thickness measurement system, a cover thickness measurement tool, and a cover thickness measurement method. [Background technology]

[0002] 2. Description of the Related Art There is a known technique for measuring the distance between the reinforcing bars of a reinforced concrete structure and the concrete surface, that is, the so-called cover depth (Patent Document 1).

[0003] Patent document 1 describes the device as "a cover depth measuring device characterized by having measuring plates installed opposite each other via a pantograph-type member that expands in conjunction with the operation of an air cylinder, a measuring instrument equipped with an encoder set to measure the distance between the outer surfaces of the measuring plates, a display panel that receives a signal from the encoder of the measuring instrument and displays it as a numerical value, and a handheld device equipped with a connection port for an air pump that operates the air cylinder, all of which are connected via a flexible pipe equipped with an air path and a signal path." [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2014-202569 A Summary of the Invention [Problem to be solved by the invention]

[0005] Patent Document 1 describes a device for measuring the cover depth. However, the cover depth measuring device of Patent Document 1 requires the cover depth to be measured each time, which is very time-consuming. On the other hand, at construction sites, it is also necessary to measure the number of rebars, the spacing between rebars, and the diameter of the rebars. The inventors recognized that efficiently performing these multiple measurements at a construction site is a technical challenge.

[0006] The present disclosure facilitates measuring cover depth. [Means for solving the problem]

[0007] A cover thickness measurement system according to one embodiment of the present invention includes a cover thickness measurement fixture, an imaging device, and an information processing terminal device. The cover thickness measuring jig comprises an adjustment section which adjusts the position of the reinforcing bar and the top plate section, a stopper section which slides in response to the up and down movement of a sliding section provided on the top plate section, an indicator section which moves in response to the operation of the stopper section and serves as an indicator for cover thickness measurement, and a scale section which measures the distance moved by the indicator section. The imaging device captures images of the reinforcing bar and the covering measurement jig, which are separated by a predetermined distance. The information processing terminal device includes an image processing section, a color processing section, a position specifying section, and a distance conversion section. The image processing unit extracts image data relating to the scale portion and the indicator portion from the image data transmitted from the imaging device, the color processing unit performs processing to sharpen the color of the image data relating to the scale portion and the indicator portion extracted by the image processing unit, the position identification unit identifies the position of the striped pattern of the image data relating to the scale portion and the indicator portion sharpened by the color processing unit, and the distance calculation unit calculates the movement distance of the image data relating to the indicator portion relative to the image data relating to the scale portion by comparing the positions of the striped pattern of the image data relating to the scale portion and the indicator portion identified by the position identification unit. In the covering depth measuring system, the stopper portion controls the sliding portion by the elastic force of the elastic member of the indicator portion. As one embodiment of the present invention, the scale portion may be a multi-colored striped pattern. As one embodiment of the present invention, the scale portion may be a striped pattern spaced at 2 mm intervals. The cover thickness measurement jig includes an adjustment unit that adjusts the position of the reinforcing bar and the top plate portion, a stopper unit that slides by the up and down movement of a sliding unit provided on the top plate portion, and an indicator unit that moves in response to the operation of the stopper unit and serves as an indicator for measuring the cover thickness. and a scale portion for measuring the distance that the indicator portion has moved. The cover thickness measuring method includes a cover thickness measuring tool, an imaging device, and an information processing terminal device. The cover thickness measurement method includes a step of adjusting the positions of the reinforcing bar and the top plate portion, a step of sliding a stopper portion by the up and down movement of a sliding portion provided on the top plate portion, a step of moving an indicator portion, which serves as an indicator for cover thickness measurement, horizontally in response to the operation of the stopper portion, and a step of measuring the distance moved by the indicator portion relative to a scale portion. The imaging device captures images of the rebar and the cover measurement jig, which are located a predetermined distance apart, and the information processing terminal device includes an image processing unit, a color processing unit, a position identification unit, and a distance conversion unit. The image processing unit in the cover thickness measurement method includes a step of extracting image data relating to the scale portion and the indicator portion from the image data transmitted from the imaging device, a step of processing the image data relating to the scale portion and the indicator portion extracted by the image processing unit to sharpen the color of the image data relating to the scale portion and the indicator portion, a step of identifying the position of a striped pattern in the image data relating to the scale portion and the indicator portion sharpened by the color processing unit, and a step of calculating the movement distance of the image data relating to the indicator portion relative to the image data relating to the scale portion by comparing the position of the striped pattern in the image data relating to the scale portion and the indicator portion identified by the position identifying unit. Effect of the Invention

[0008] The cover depth measurement system, cover depth measurement tool, and cover depth measurement method according to the present disclosure facilitate measurement of cover depth. [Brief description of the drawings]

[0009] [Figure 1] FIG. 1 is a schematic diagram showing a cover thickness measurement system according to the present disclosure. [Diagram 2] FIG. 2 is an external view showing a cover thickness measuring jig in the present disclosure. [Diagram 3]FIG. 2 is a schematic diagram showing a scale portion and an indicator portion according to the present disclosure. [Figure 4] 5A to 5C are schematic diagrams showing the movement of an indicator portion relative to a scale portion in the present disclosure. [Diagram 5] 1 is a block diagram of an information processing terminal device according to the present disclosure. [Figure 6] 4 is a flowchart showing a process for measuring a cover thickness according to the present disclosure.

[0010] Although the embodiments of the present invention have been described, the above embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the invention and its equivalents described in the claims.

[0011] 1 is a schematic diagram of a reinforcing bar of a reinforced concrete structure to be measured, a cover thickness measurement jig 10, an imaging device 20, a communication line 30, and an information processing terminal device 40. The cover thickness measurement system 1 may also include a network cable 50 and an external network server 60. The cover thickness measuring jig 10 measures the distance between the reinforcing bars and the surface of the concrete wall of a reinforced concrete building.

[0012] The imaging device 20 captures images of rebars in a reinforced concrete building and the cover thickness measurement jig 10. Specifically, the imaging device 20 may be a single-lens reflex camera, a mirrorless camera, a digital camera, or a neo single-lens camera. It may also be a camera provided on a smartphone or a camera provided on an unmanned aerial vehicle (drone).

[0013] The communication line 30 transmits image data and video data captured by the imaging device 20 to the information processing terminal device 40. The communication line 30 may be wired or wireless. Examples of wired communication lines include a USB cable, an Ethernet cable, and an optical fiber cable. Examples of wireless communication lines include a 5G mobile phone system, WiFi (registered trademark), and Bluetooth (registered trademark).

[0014] The information processing terminal device 40 processes image data captured by the imaging device 20. Specifically, the information processing terminal device 40 is a PC device, a tablet terminal, or the like, and will be described in detail later. The network cable 50 may be an Ethernet cable, a fiber optic cable, or the like. The external network server 60 is a server connected to an external network connected to the Internet, etc. The external network server 60 may be a server virtually created on a cloud.

[0015] FIG. 2 is an external view of the covering thickness measurement jig 10. As shown in FIG. Since the cover thickness is in the depth direction in the image captured by the imaging device 20, it is very difficult to grasp the cover thickness from the image. In the present disclosure, the cover thickness measuring jig 10 converts the movement of the cover thickness in the depth direction in the image into movement within the image plane. The cover thickness measuring jig 10 includes a top plate portion 11 , an adjustment portion 12 , a scale portion 13 , an index portion 14 , a stopper portion 15 , a sliding portion 16 , and an expandable portion 17 . The material of the cover thickness measuring jig 10 may be metal, reinforced plastic, or wood. Generally, the cover depth refers to the shortest distance from the concrete surface of a building to the outside of the rebar. In this disclosure, it is the measurement of the distance that should be the cover depth before concrete is poured. Therefore, it refers to the shortest distance from the outside of the rebar to the ground or formwork surface when the rebar is in the finished form.

[0016] The top plate portion 11 supports reinforcing bars. If the top plate portion 11 were flat, the reinforcing bars would be rounded and would not fit well with the top plate portion 11. Therefore, the top plate portion 11 has a concave recess 11a in the center. The recess 11a is for loosely fitting the reinforcing bars with the top plate portion 11.

[0017] The adjustment unit 12 is a knob that moves the top plate 11 up and down (raise and lower) at a constant rate. When the knob of the adjustment unit 12 is turned counterclockwise, the top plate 11 rises, and when turned clockwise, the top plate 11 descends. By turning the knob of the adjustment unit 12, the recessed portion 11a is loosely fitted into the reinforcing bar. The adjustment unit 12 may move the top plate unit 11 up and down using an elastic body such as a spring. The rotational movement of the adjustment unit 12 is converted into the vertical movement of the top plate unit 11 .

[0018] The scale portion 13 indicates the measured value of the cover thickness. The scale portion 13 is a plate-shaped scale with a striped pattern. The scale portion 13 is located on one side of the lower part of the cover thickness measurement jig 10 and is fixed to the cover thickness measurement jig 10. In the present disclosure, the scale portion 13 is located in the same direction as the adjustment portion 12.

[0019] The scale portion 13 is provided with a striped pattern at regular intervals. Since the scale portion 13 is imaged by the imaging device 20, it is desirable to configure the striped pattern with varying colors. In the present disclosure, the scale portion 13 has a striped pattern of blue and yellow, but is not limited to this color combination. Note that blue and yellow are complementary and opposing colors. The scale portion 13 has one red pattern as a reference for the striped pattern. The red pattern is later easily image-processed by the information processing terminal device 40. The red pattern is for identifying the orientation of the cover thickness measurement jig 10.

[0020] The indicator portion 14 calculates the cover thickness. The indicator portion 14 moves horizontally relative to the scale portion 13. The indicator portion 14 measures the movement distance by comparing with the scale portion 13, and thus it becomes possible to calculate the cover thickness. In the present disclosure, the indicator portion 14 has a black pattern, but is not limited to black. The shape of the indicator portion 14 may be a so-called L-shape, an I-shape, an L-shape, or any other shape. The indicator portion 14 is fixed to the stopper portion 15 and moves together with the stopper portion 15 .

[0021] The stopper portion 15 is in the shape of a right-angled isosceles triangle and is fixed to the index portion 14. The stopper portion 15 moves smoothly back and forth (left and right) due to the up and down movement of the sliding portion 16 fixed to the top plate portion 11. In other words, the stopper portion 15 converts the up and down (lifting and lowering) movement into horizontal movement. A predetermined force is applied to the indicator part 14 and the stopper part 15 by the elastic force of an elastic body attached to the back surface of the indicator part 14. When the elastic body is a spring, Hooke's law applies to the predetermined force. In other words, a force proportional to the length of the spring stretched (contracted) is applied. The direction of the force is the direction in which the stopper part 15 pushes back (upward) the sliding part 16.

[0022] The sliding portion 16 smoothly moves the stopper portion 15. The sliding portion 16 is fixed to the top plate portion 11 and moves together with the top plate portion 11.

[0023] The extension / contraction unit 17 is an extension / contraction part that moves the top plate unit 11 up and down (raise and lower) by adjustment using the adjustment unit 12. In the present disclosure, it is a foldable extension / contraction part, but it may be one that utilizes the force of air pressure, hydraulic pressure, water pressure, or the like.

[0024] FIG. 3 is an external view focusing on the scale portion 13 and the indicator portion 14 in the present disclosure. The tip of the scale portion 13 is provided with a red pattern (13a). The scale portion 13 is provided with alternating stripes of blue (13b) and yellow (13c). The colors are not limited to these. The width of the blue (13b) and yellow (13c) stripes is, for example, in increments of 1 mm to 5 mm. In the present disclosure, the width of the blue (13b) and yellow (13c) stripes is preferably 2 mm. The scale portion 13 and the indicator portion 14 may have a checkered pattern.

[0025] The indicator portion 14 has a black reference pattern (14a) on the opposite side to the red pattern located toward the tip of the scale portion 13. In the present disclosure, the initial position of the black reference pattern is the same as the second blue pattern from the rear of the scale portion 13.

[0026] FIG. 4 is a schematic diagram showing a case where the indicator portion 14 has moved relative to the scale portion 13. As shown in FIG. FIG. 4(a) shows the initial state, and FIG. 4(b) shows the state after moving a certain distance. The top plate 11 rises when the adjustment part 12 is rotated. As the top plate 11 rises, the stopper part 15 moves smoothly due to the elastic force of the sliding part 16 fixed to the top plate 11. The indicator part 14 fixed to the stopper part 15 moves horizontally relative to the scale part. If the distance that the indicator portion 14 has moved relative to the scale portion 13 can be measured, this will give the covering thickness.

[0027] FIG. 5 is a block diagram showing the functions of the information processing terminal device 40. As shown in FIG. The information processing terminal device 40 includes a control unit 41, a storage unit 42, a communication unit 43, a display unit 44, an image processing unit 45, a color processing unit 46, a position identification unit 47, and a distance calculation unit 48.

[0028] The control unit 41 is mainly a CPU. The control unit 41 executes applications (programs) installed in the information processing terminal device 40 and controls the information processing terminal device 40. In the present disclosure, the control unit 41 performs various processing commands such as processing image data, storing image data, and issuing commands to each processing unit.

[0029] The storage unit 42 constitutes a storage means. The storage unit 42 is a computer-readable storage medium, and includes a read only memory (ROM), a random access memory (RAM), and a storage device. The storage device is realized by a hard disk drive (HDD), a solid state drive (SSD), a flash memory, or the like. In the present disclosure, the distance of the cover thickness which is the final result, and data before and after each process are stored in the storage unit 42. For example, this includes image data in which the scale portion 13 is extracted, image data of the super-resolution process of the image of the extracted scale portion 13, and image data of the binarized scale portion.

[0030] The communication unit 43 allows the information processing terminal device 40 to exchange information with an external network 60 of the information processing terminal device 40. Specifically, the communication unit 43 is connected to the outside of the information processing terminal device 40 via a network cable 50 such as optical fiber or Ethernet, or wireless communication 50 such as WiFi or a 5G mobile phone system.

[0031] The display unit 44 outputs character data, image data, etc. stored in the storage unit 42. The display unit 44 is specifically a liquid crystal display or the like.

[0032] The image processing unit 45 extracts the scale portion 13 and the indicator portion 14 from the image data captured by the imaging device 20 . Since it is assumed that imaging by the imaging device 20 will be performed simultaneously with measurement of rebar intervals, etc., the size of the cover thickness measurement jig 10, particularly the size of the scale portion 13 and the index portion 14, will be relatively small in the image data captured by the imaging device 20. As a countermeasure to the relatively small size of the scale portion 13 and the index portion 14 in the image data, a super-resolution technique may be used.

[0033] Super-resolution technology is a technology that can generate a high-resolution image from an existing low-resolution image. Super-resolution technology estimates high-frequency components that are not included in the original image, improving the resolution. The image processing unit 45 detects image data of the portion of the scale portion 13 and the portion of the indicator portion 14 in the image. The image processing unit 45 cuts out the image data of the portion of the scale portion 13 and the portion of the indicator portion 14.

[0034] The color processing unit 46 detects the colors applied to the image data of the scale unit 13 and the indicator unit 14. The color processing unit 46 performs clustering (classification) of the colors of the image. In the present disclosure, the color aggregation and classification are performed by the K-means method.

[0035] The color processing unit 46 applies color filtering to the image data of the scale portion 13 and the indicator portion 14 extracted by the image processing unit 45. The color filtering performed by the color processing unit 46 is, for example, a mechanism for absorbing light other than red and transmitting the remaining red light. By extracting the red light of the scale portion 13 by the color processing unit 46, the orientation of the cover thickness measurement jig 10 and the base point for measuring the cover thickness are determined. The red portion of the image data of the scale portion 13 may be at the tip of the scale portion 13, at the innermost position, or at another position. In addition, the color of the image data is appropriately corrected.

[0036] The position identification unit 47 checks the pixel values ​​of the image data of the pattern portion of the scale portion 13, and calculates the average pixel value of the maximum pixel value and the minimum pixel value. Using the calculated average pixel value as a threshold, the pattern portion of the image data of the scale portion 13 is binarized into black and white. The position identification unit 47 calculates the average spacing of the stripe pattern of the binarized black and white image data.

[0037] Distance calculation unit 48 creates a coordinate list of the locations where the striped pattern of the black and white binarized image data of scale portion 13 changes from white to black and vice versa. The distance calculation unit 48 determines the portion of the image data of the indicator portion 14 where the color changes from white to black as the indicator distance. The distance calculation unit 48 compares the coordinate list with the index distance to calculate the movement distance.

[0038] FIG. 6 is a flowchart showing the flow of processing in the covering depth measurement system 1. As a preliminary preparation, the cover thickness measuring jig 10 is placed between the reinforcing bar of the reinforced concrete and the concrete wall (S2). The adjustment part 12 is turned until the depression 11a is loosely fitted into the reinforcing bar.

[0039] The imaging device 20 captures images of the multiple reinforcing bars including the covering depth measurement jig 10 (S4). Image data captured by the imaging device 20 is transmitted to the information processing terminal device 40 through the communication line 30. The image data may be automatically transmitted when a certain amount of data is reached, or the image data may be transmitted manually as appropriate or each time.

[0040] The image data transmitted from the imaging device 20 is stored in the storage unit 42 of the information processing terminal device 40 . The control unit 41 reads image data from the storage unit 42, and instructs the image processing unit 45 to process the image data.

[0041] The image processing unit 45 extracts the scale portion 13 and the index portion 14 from the image data (S6, S16). Object detection by deep learning or the like is used for the striped patterns of the scale portion 13 and the index portion 14. For object detection, it is preferable to perform transfer learning on a learning model that has been machine-learned in advance. The training data for object detection uses stripe patterns used for multiple scale parts 13 and index parts 14 many times. This is to allow the system to learn various stripe patterns in advance. The accuracy of the output from machine learning is judged by a human. It is also preferable to perform fine tuning to match the present disclosure. The machine learning and deep learning processes may be performed by the information processing terminal device 40, or may be performed by an external server via the Internet from the communication unit 13. The teacher data may be stored in the storage unit 42 of the information processing terminal device 40, or may be stored in the storage unit of the external server.

[0042] In the present disclosure, the processes of S6 to S14 and the processes of S16 to S24 may be performed in parallel, or may be performed individually and sequentially. In the present disclosure, after the multicolored scale portion 13 is extracted (S6), the single-colored indicator portion 14 is extracted (S16). In the following, the same processes will be described together, and different processes will be described individually. The image processing unit 45 uses super-resolution technology after extracting image data of the scale portion 13 and the indicator portion 14 from the image data (S8, S18). Even if the image data captured by the imaging device 20 is low quality image data, the resolution is improved because the super-resolution technology estimates high-frequency components not included in the original image. The image processing unit 45 can convert the image data of the scale portion 13 and the indicator portion 14 extracted from the original image data into clear image data.

[0043] The color processing unit 46 performs clustering (classification) on the colors of the image. In the present disclosure, the color aggregation and classification is performed by the K-means method. K-means is a type of unsupervised machine learning that can classify data into a fixed number of categories. In this disclosure, the color processor 46 performs clustering of 16 colors.

[0044] The color processing section 46 performs a color filter that transmits only red light and absorbs other colors in order to extract the red pattern portion of the image data of the scale section 13 (S10). The color processing unit 46 performs a color filter that transmits only yellow and absorbs other colors in order to extract the yellow striped pattern portion of the image data of the scale portion 13 (S10). The color processing unit 46 performs a color filter that transmits only black and absorbs other colors in order to extract the black striped pattern portion of the image data of the indicator portion 14 (S18). The color processing unit 46 converts the pattern portion of the image data into a grayscale image. The color processing unit 46 may convert the image data into a binarized image by a simple grayscale process, or may convert the image data into a binarized image by using a yellow color filter.

[0045] The position identification unit 47 calculates the average interval of the striped pattern of the black and white binarized image data (S12). The position identification unit 47 checks the pixel values ​​of the pattern portion of the image data of the scale portion 13, and calculates the average pixel value of the maximum pixel value and the minimum pixel value. Using the calculated average pixel value as a threshold, the pattern portion of the image data of the scale portion 13 is binarized into black and white. In the present disclosure, the scale portion 13 is a striped pattern of seven yellow portions and seven blue portions, and therefore the image data striped pattern is seven white portions and seven black portions (seven black and white patterns).

[0046] The image processing unit 45 extracts the index portion of the image data for the indicator portion 14 in the same manner as for the scale portion (S16). The image processing unit 45 also performs super-resolution processing on the image data for the index portion to clarify it (S18). The color processing unit 46 performs CLAHE processing on the image data of the index portion (S20). In the CLAHE processing, histogram smoothing is performed, and then contrast (light and dark) adjustment is performed. The CLAHE processing makes the index portion clearer.

[0047] The position identification unit 47 checks the pixel value at the center of the image data of the index portion of the index unit 14 and performs binarization processing. The binarization threshold is the sum of the maximum number of pixels and the minimum number of pixels and divided by 3 (threshold=(maximum number of pixels+minimum number of pixels) / 3). The position specifying unit 47 determines the positional relationship of the image data of the scale portion 13 and the index portion of the indicator portion 14. A coordinate list is created for the boundaries of the striped pattern of the image data of the scale portion 13, i.e., the boundaries where the color changes from white to black and the boundaries where the color changes from black to white. The position specifying unit 47 determines the boundary where the image data of the index portion 14 changes from white to black as the index distance.

[0048] The control unit 41 issues commands to the image processing unit 45, color processing unit 46, and position identification unit 47 to remove noise from the image data and correct for missed detections (S14, S24). That is, it is determined whether a certain threshold is exceeded based on statistical information. If the certain threshold is exceeded, the target image data is rejected. If it is within the certain threshold, the target image data is appropriately corrected.

[0049] The distance calculation unit 48 compares the index distance with the coordinate list, and calculates the distance that the index unit 14 has moved relative to the scale unit 13 (S26). The calculated distance may be rounded up, down, or up. In this disclosure, the width of the stripes is 2 mm, so the distance can be calculated within an error range of 1 mm.

[0050] The control unit 41 stores the calculated distance in the memory unit 42 as a covering thickness measurement value. The control unit 41 stores the cover depth measurement value in the memory unit 42 together with other elements such as the measurement location, date, building name, weather, and temperature. The display unit 44 can display the calculated distance as a measurement value of the cover thickness.

[0051] [effect] The cover depth measurement system 1, the cover depth measurement jig 10, and the cover depth measurement method according to the present disclosure facilitate measurement of the cover depth. According to one embodiment of the present disclosure, the cover thickness measurement system 1, cover thickness measurement jig 10, and cover thickness measurement method make it possible to measure the number of rebars, their arrangement, and their diameters at the same time as measuring the cover thickness using image data captured from the front. The cover thickness measurement system 1, cover thickness measurement jig 10, and cover thickness measurement method according to one embodiment of the present disclosure can provide a technology that converts depth-wise movement in image data into in-plane movement in the image data, and utilizes AI technology such as deep learning to significantly reduce the labor required for cover thickness measurement. [Explanation of symbols]

[0052] 1. Cover Depth Measurement System 10 Cover thickness measurement jig 11 Top plate 12 Adjustment section 13 Scale 14 Index section 15 Stopper part 16 Sliding part 17 Telescopic part 20 Imaging device 30 Communication lines 40 Information processing terminal device 41 Control section 42 Storage section 43 Communications Department 44 Display section 45 Image Processing Section 46 Color Processing Section 47 Location identification part 48 Distance Calculation Unit 50 Network Cable 60 External Network Server

Claims

1. A cover thickness measurement system including a cover thickness measurement tool, an imaging device, and an information processing terminal device, The cover thickness measuring jig is An adjustment unit for adjusting the position of the reinforcing bar and the top plate portion; A stopper portion that slides due to the up and down movement of a sliding portion provided on the top plate portion; An index portion that moves in response to the operation of the stopper portion and serves as an index for measuring the covering thickness; a scale portion for measuring a distance that the indicator portion has moved, The imaging device captures images of the reinforcing bar and the covering measurement jig at a predetermined distance apart, the information processing terminal device includes an image processing unit, a color processing unit, a position specifying unit, and a distance conversion unit; the image processing unit extracts image data relating to the scale portion and the indicator portion from the image data transmitted from the imaging device; the color processing unit performs processing to make clear colors of the image data related to the scale portion and the indicator portion extracted by the image processing unit; the position specifying unit specifies a position of a striped pattern of image data on the scale portion and the indicator portion that have been made clear by the color processing unit; the distance calculation unit calculates a moving distance of the image data of the indicator portion relative to the image data of the scale portion by comparing positions of striped patterns of the image data of the indicator portion and the scale portion identified by the position identification unit. A cover thickness measurement system comprising:

2. 2. The cover thickness measurement system according to claim 1, wherein the stopper portion controls the sliding portion by an elastic force of an elastic member included in the indicator portion.

3. 3. The cover thickness measurement system according to claim 1, wherein the scale portion has a multi-colored striped pattern.

4. 4. The cover thickness measurement system according to claim 3, wherein the scale portion is a striped pattern spaced at intervals of 2 mm.

5. A cover thickness measurement jig, An adjustment unit for adjusting the position of the reinforcing bar and the top plate portion; A stopper portion that slides due to the up and down movement of a sliding portion provided on the top plate portion; An index portion that moves in response to the operation of the stopper portion and serves as an index for measuring the covering thickness; A scale portion for measuring a distance moved by the indicator portion; A cover thickness measuring jig comprising:

6. A method for measuring a thickness of a cover including a thickness measuring tool, an imaging device, and an information processing terminal device, A step of adjusting the positions of the reinforcing bar and the top plate portion; a step of sliding a stopper portion by vertical movement of a sliding portion provided on the top plate portion; a step of horizontally moving an indicator portion serving as an indicator for measuring the cover thickness in response to the operation of the stopper portion; measuring a distance moved by the indicator portion relative to a scale portion; Equipped with A step in which the imaging device images the reinforcing bar and the covering measurement jig at a predetermined distance apart; the information processing terminal device includes an image processing unit, a color processing unit, a position specifying unit, and a distance conversion unit; the image processing unit extracts image data relating to the scale portion and the indicator portion from the image data transmitted from the imaging device; the color processing unit performs processing to clarify colors of the image data related to the scale portion and the indicator portion extracted by the image processing unit; the position specifying unit specifies a position of a striped pattern of image data corresponding to the scale portion and the indicator portion that have been made clear by the color processing unit; the distance calculation unit calculates a moving distance of the image data of the indicator portion relative to the image data of the scale portion by comparing positions of striped patterns of the image data of the scale portion and the indicator portion specified by the position specification unit; A method for measuring a cover thickness comprising the steps of:

Images