JP7051981B1 - Rhagades measurement support device and its method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To automatically perform crack measurement such as reading and measuring a crack value, recording a measurement location and a measurement date and time, creating a report, and communicating with a master unit by photographing a crack gauge with a camera of a smartphone. A support device and its method are provided. SOLUTION: The bar code 19 as an identifier in which the ID of the crack gauge 10 is entered, the bar code 19, the scale line 13a of the crack gauge 10, a camera 21 for photographing the scale numerical value, and a CPU 22 for gauge measurement processing are provided. It is equipped with a smartphone 20, a GPS module 25 that captures an installation point, a memory 23 that records measured values, an installation point, and a measurement date and time, and a communication module 26 that transmits the recorded data to the master unit 30, and gauge measurement processing. The unit consists of an image trimming unit for recorded image data, a binarization unit for the image, a segment extraction unit for extracting numerical values and scale lines, and a gauge measurement unit for calculating measured values from the image. [Selection diagram] Fig. 1

Description

The present invention is a crack measurement support device that enables a crack gauge that measures cracks generated in the ground, buildings, etc., to read fluctuations in the scale of the crack gauge with a smartphone, create a report, and send the report. And its method.

The present applicant has already proposed a crack measuring device for measuring changes in the slope of the ground, changes in cracks in the structure, and the like (Patent Document 1).
As shown in FIG. 22, the crack gauge 10 is attached between two points of the object to be measured 11 sandwiching the crack 12 to measure the change of the crack 12, and is inside the vernier scale 14 made of an outer cylinder. The main scale 13 made of a cylinder is fitted in an advancing and retreating manner, and scale lines 13a at intervals of, for example, 5 mm are formed on the main scale 13, and the scale lines 13a are exposed from the scale window 15 of the vernier scale 14 to expose the vernier scale 13. A scale line 14a (vernier scale) at intervals of, for example, 4.5 mm is formed on the scale window 15 so as to face the scale window 15, and the ends of the sub-scale 14 and the main scale 13 are respectively anchored via a universal joint 18. It is fixed to the object to be measured 11 with 16 and a bolt 17.

In such a configuration, the main scale 13 and the vernier scale 14 advance and retreat in the axial direction according to the change of the crack 12, and the measurement reference line 14o and the vernier scale 13 on the left side of "0" of the scale line 14a of the vernier scale 14 Read the numerical value of the main scale unit from the scale line 13a of the main scale 13 with the scale value 13b of the main scale 13, and for example, 0.05 mm unit from the coincidence point of the scale line 13a of the main scale 13 and the scale line 14a of the vernier scale 14. The vernier value is read by the scale value 14b of, and the width of the crack 12 is measured from the total of these values.

Patent No. 3766516 Patent Gazette.

In the measurement with the crack gauge, it is easy to make an error in reading the measured value. In particular, the main scale 13 and the vernier scale 14 are formed by freely advancing and retreating the inner cylinder and the outer cylinder, and the outer cylinder forming the scale window 15 is thick, so that the vernier scale 14 is read in an oblique direction. Which position of the 5 mm unit scale line 13a of the main scale 13 corresponds to the measurement reference line 14a0 of the vernier scale, and in the crack gauge with the vernier scale, the scale line 13a of the main scale 13 and the scale line of the sub scale 14 It is difficult to determine the coincidence point of 14a, and further, the scale value 13b of the main scale 13 and the vernier scale value 14b are read twice, and these values are calculated to obtain the measured value. It was easy for human error such as mistakes to occur.
Also, in the past, every time a measurement was made, the record of the measurement location, the record of the measurement date and time, the comparison value with the previous measurement value, etc. were manually entered in the report, so there was a problem that the work required time and manpower. rice field.

The present invention automatically reads and measures crack values, records the measurement location and measurement date and time, creates a report, communicates with the master unit, etc. by photographing the crack gauge with the camera of a portable communication device such as a smartphone. It is an object of the present invention to provide a crack measurement support device and a method thereof that can be performed in the above.

The crack measurement support device according to the present invention is
Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale value 13b of the crack gauge 10 are read to change the crack 12 (the object to be measured 11 sandwiching the crack 12). In the device for measuring the change in the direction perpendicular to and parallel to the surface of the crack 12).
A barcode 19 provided on the crack gauge 10 as an identifier in which the ID of the crack gauge 10 is entered, and
A smartphone 20 equipped with the barcode 19, the scale line 13a, and the camera 21 for photographing the scale value 13b, and the like.
A CPU 22 built in the smartphone 20 and calculating the measured value of the crack 12 from the captured image,
The GPS module 25 that captures the installation point of the crack gauge 10 from the GPS 28,
A memory 23 that records the measured value, installation point, measurement date and time, and
It is characterized by having a communication module 26 built in the smartphone 20 and transmitting data recorded in the memory 23 to the master unit 30.

The crack gauge 10 has a main scale 13 and a vernier scale 14 that advance and retreat in the axial direction in response to a change in the crack 12, and the main scale 13 is provided with a scale line 13a and a scale numerical value 13b. A scale line 14a for vernier and a scale value 14b are provided on the sub-scale 14, and the scale line 14a corresponding to 0 of the scale value 14b among the scale lines 14a for vernier is obtained as a measured value by the main scale 13. It is characterized in that the measurement reference line 14a0 is set.

The smartphone 20 includes a gauge measurement processing unit 49, and has a gauge measurement processing unit 49.
The gauge measurement processing unit 49 is from the image trimming unit 50 of the recorded image data, the binarization unit 51 of the image, the segment extraction unit 57 for extracting numerical values and scale lines, and the gauge measurement unit 58 for calculating the measured value from the image. It is characterized by becoming.

The binarization unit 51 of the image includes a smoothing circuit 52 and a noise reduction circuit 56.
The gauge measurement unit 58 includes a numerical value classification unit 59, a numerical value main / sub-classification unit 62, a main / sub-line detection unit 63, a connection line separation unit 64, a main scale double-digit numerical value correspondence unit 69, and a main scale line. It is characterized by comprising a verification unit 70 for arranging numerical values, a 0 search unit 71 for a vernier scale, a search unit 72 for a measurement reference line, and a gauge calculation unit 73 for the main scale.

The smoothing circuit 52 includes a difference image creating unit 53, a binarized image generation unit 54, and a logical product acquisition unit 55.
The numerical classification unit 59 includes a numerical recognition unit 60 and a numerical validity verification unit 61.
The separation unit 64 of the connection line includes a calculation unit 65 for the division position, a target selection unit 66, a separation unit 67, and a recognition unit 68 as a line.
The gauge calculation unit 73 of the main scale is characterized by including a measurement unit 74 of the vernier scale, a measurement unit 75 of the main scale scale, and a gauge measurement unit 76.

The crack measurement support method according to the present invention is
Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale lines 13a and the scale numerical values 13b provided on the main scale 13 of the crack gauge 10 are axial to each other with the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the barcode 19 as an identifier in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and the process of photographing the barcode 19 as an identifier.
The process of determining whether or not the ID of the barcode 19 has been registered, and
A step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21.
The step of calculating the change of the crack 12 by the image processing taken by the camera 21 and the process of calculating the change of the crack 12.
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
It is characterized by comprising a step of displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20.

The step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21 is the step of photographing the scale value 14b of the scale lines 14a. It is characterized in that the camera 21 is focused on the measurement reference line 14a0 corresponding to 0 and the image is taken.

The step of determining whether or not the ID of the barcode 19 as the identifier has been registered is the step of registering the unregistered ID if the ID is not registered and the step of registering the measurement point by GPS, and then the scale line of the main scale 13. It is characterized in that the process of photographing the 13a, the scale numerical value 13b, and the vernier scale line 14a and the scale numerical value 14b of the subscale 14 with the camera 21 is performed.

The steps of calculating the change of the crack 12 by the image processing taken by the camera 21 include a step of reading the image data taken from the memory 23 of the smartphone 20 and a step of trimming the read image for measurement. The measurement value is calculated from the step of binarizing the image, the step of extracting the segment from the binarized image, and the main measurement value of the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment. It is characterized by consisting of a gauge measurement process.

The steps of binarizing the trimmed image include a step of creating a differential image of the trimmed image, a step of generating a binarized image from the differential image, and a logical product image of the differential image and the binarized image. It consists of the process of acquiring the image and the process of removing the noise of this logical product image.
The gauge measurement step is a step of classifying the scale value 13b of the main scale 13 and the scale value 14b of the subscale 14 from the extracted segment, and the scale line 13a of the main scale 13 and the subscale from the extracted segment. A step of detecting the scale line 14a of 14 and a step of separating the connection line when the detected scale line 13a and the scale line 14a are connected to one line, and the scale of the subscale 14 The process of searching for the numerical value 0 of the numerical value 14b, the process of searching for the measurement reference line 14a0 corresponding to the searched numerical value 0, and the measured value of the vernier value based on the measurement reference line 14a0 and the scale line 13a of the main scale 13. It is characterized by a step of adding the measured value of the main scale by the scale value 13b and the measurement reference line 14a0 to calculate the change of the crack 12.

Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale numerical value 13b provided on the main scale 13 of the crack gauge 10 are axial to each other on the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the barcode 19 as an identifier in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and the process of photographing the barcode 19 as an identifier.
The process of determining whether or not the ID of the barcode 19 has been registered, and
The scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 are photographed by the camera 21 as three-dimensional data of three elements of upward, lateral, and oblique. And the process to do
A step of calculating the change of the crack 12 by image processing the angular displacement of the crack gauge 10 in the vertical and horizontal directions taken by the camera 21.
The process of calculating the vertical and horizontal angular displacement of the crack gauge 10 and
A step of calculating the displacement positions of the three-dimensional four elements of the crack gauge 10's direct displacement value (R) and vertical displacement value (X, Y, Z) from the vertical and horizontal angular displacements of the crack gauge 10 and the vernier value. When,
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
It is characterized by comprising a step of displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20.

The step of calculating the change of the crack 12 by the image processing taken by the camera 21 includes a step of reading out three-dimensional image data composed of three elements of upper, lateral, and oblique images taken from the memory 23 of the smartphone 20. The process of trimming the scanned image of the three elements of upper, side, and diagonal for measurement, the process of binarizing the trimmed image of the three elements of upper, side, and diagonal, and the binarization. The process of performing segmentation of the three elements upward, lateral, and oblique from the image that was created, and
A step of calculating the universal joint angle of the three elements above, sideways, and diagonally of the universal joint 18 in which the crack gauge 10 is installed on the object 11 to be measured.
A gauge measurement process that calculates the measured value from the measured value by the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment, and
The process of registering the first calculated value and
The process of comparing the angle difference ratio and
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
It is characterized by comprising a step of displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20.

According to the invention of claim 1,
In a device in which both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale value 13b of the crack gauge 10 are read and the change of the crack 12 is measured.
An identifier 19 provided on the crack gauge 10 and in which the ID of the crack gauge 10 is entered, and
A smartphone 20 provided with the identifier 19 and the camera 21 for photographing the scale line 13a and the scale numerical value 13b.
A CPU 22 built in the smartphone 20 and calculating the measured value of the crack 12 from the captured image,
The GPS module 25 that captures the installation point of the crack gauge 10 from the GPS 28,
A memory 23 that records the measured value, installation point, measurement date and time, and
Since it is equipped with a communication module 26 built in the smartphone 20 and transmitting data recorded in the memory 23 to the master unit 30, it has the following effects.
(1) Since the measurement by the crack gauge is read by the camera of the smartphone and calculated, there is no mistake in reading the measured value as compared with the method in which the measurer visually reads.
(2) Once registered, the identifier 19 automates processing such as recording the measurement location of the unique crack gauge, recording the measurement date and time, and comparing with the previous measurement value, and the crack measurement and measurement result report. Easy to create.
(3) Data can be immediately sent to the master unit by the communication module, and an alarm can be notified earlier when the change of the crack exceeds the management standard (threshold value) for disaster prevention.

According to the invention of claim 3,
The crack gauge 10 has a main scale 13 and a vernier scale 14 that advance and retreat in the axial direction in response to a change in the crack 12, and the main scale 13 is provided with a scale line 13a and a scale numerical value 13b. A scale line 14a for vernier and a scale value 14b are provided on the sub-scale 14, and the scale line 14a corresponding to 0 of the scale value 14b among the scale lines 14a for vernier is obtained as a measured value by the main scale 13. Since the measurement reference line of 14a0 is set, the change of the crack can be accurately read even on the scale for the vernier.

According to the invention of claim 4,
The smartphone 20 includes a gauge measurement processing unit 49, and has a gauge measurement processing unit 49.
The gauge measurement processing unit 49 is from the image trimming unit 50 of the recorded image data, the binarization unit 51 of the image, the segment extraction unit 57 for extracting numerical values and scale lines, and the gauge measurement unit 58 for calculating the measured value from the image. Therefore, it is possible to measure the crack automatically just by taking a picture of the crack with a camera.

According to the invention of claim 5,
The binarization unit 51 of the image includes a smoothing circuit 52 and a noise reduction circuit 56.
The gauge measurement unit 58 includes a numerical value classification unit 59, a numerical value main / sub-classification unit 62, a main / sub-line detection unit 63, a connection line separation unit 64, a main scale double-digit numerical value correspondence unit 69, and a main scale line. Since it consists of a verification unit 70 for the arrangement of numerical values, a 0 search unit 71 for the sub-scale, a search unit 72 for the measurement reference line, and a gauge calculation unit 73 for the main scale, the main scale 13 and the sub-scale 14 are based on one image. Cracks can be measured by distinguishing between numerical values and scale lines.

According to the invention of claim 6,
The smoothing circuit 52 includes a difference image creating unit 53, a binarized image generation unit 54, and a logical product acquisition unit 55.
The numerical classification unit 59 includes a numerical recognition unit 60 and a numerical validity verification unit 61.
The separation unit 64 of the connection line includes a calculation unit 65 for the division position, a target selection unit 66, a separation unit 67, and a recognition unit 68 as a line.
Since the gauge calculation unit 73 of the main scale includes a measurement unit 74 of the vernier scale, a measurement unit 75 of the main scale scale, and a gauge measurement unit 76, the scale values and scale lines of the main scale 13 and the sub scale 14 are used. It can be classified and processed for crack measurement.

According to the invention of claim 7,
Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale lines 13a and the scale numerical values 13b provided on the main scale 13 of the crack gauge 10 are axial to each other with the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the identifier 19 in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and
The process of determining whether or not the ID of the identifier 19 has been registered, and
A step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21.
The step of calculating the change of the crack 12 by the image processing taken by the camera 21 and the process of calculating the change of the crack 12.
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
Since it comprises a step of displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20, it has the following effects.
(1) Since the measurement by the crack gauge is read by the camera of the smartphone and calculated, there is no mistake in reading the measured value as compared with the method in which the measurer visually reads.
(2) Once registered, the identifier 19 automates processing such as recording the measurement location of the unique crack gauge, recording the measurement date and time, and comparing with the previous measurement value, and the crack measurement and measurement result report. Easy to create.
(3) Data can be immediately sent to the master unit by the communication module, and an alarm can be notified earlier when the change of the crack exceeds the management standard (threshold value) for disaster prevention.

According to the invention of claim 9,
The step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21 is the step of photographing the scale value 14b of the scale lines 14a. Since the camera 21 is focused on the measurement reference line 14a0 corresponding to 0, the image is analyzed in the vicinity of the measurement reference line 14a0 corresponding to 0 on the scale value 14b of the vernier scale 14. Both the measured value of the main scale 13 and the measured value of the vernier value can be obtained, and even if the main scale 13 and the sub-scale 14 are tubular and the scale lines are deviated, an accurate vernier value can be obtained.

According to the invention of claim 10,
The step of determining whether or not the ID of the barcode 19 as the identifier has been registered is the step of registering the unregistered ID if the ID is not registered and the step of registering the measurement point by GPS, and then the scale line of the main scale 13. Since the process of shooting the 13a, the scale value 13b, and the vernier scale line 14a and the scale value 14b of the subscale 14 with the camera 21, the first registration and the second and subsequent registrations are continued. Data can be accumulated.

According to claim 11, according to the invention.
The steps of calculating the change of the crack 12 by the image processing taken by the camera 21 include a step of reading the image data taken from the memory 23 of the smartphone 20 and a step of trimming the read image for measurement. The measurement value is calculated from the step of binarizing the image, the step of extracting the segment from the binarized image, and the main measurement value of the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment. Since it consists of a gauge measurement process, detailed measurement data can be obtained.

According to the invention of claim 12,
The steps of binarizing the trimmed image include a step of creating a differential image of the trimmed image, a step of generating a binarized image from the differential image, and a logical product image of the differential image and the binarized image. It consists of the process of acquiring the image and the process of removing the noise of this logical product image.
The gauge measurement step is a step of classifying the scale value 13b of the main scale 13 and the scale value 14b of the sub-scale 14 from the extracted segment, and the scale line 13a of the main scale 13 and the sub-scale from the extracted segment. A step of detecting the scale line 14a of 14 and a step of separating the connection line when the detected scale line 13a and the scale line 14a are connected to one line, and the scale of the subscale 14 The step of searching for the numerical value 0 of the numerical value 14b, the step of searching for the measurement reference line 14a0 corresponding to the searched numerical value 0, and the measured value of the burnier value based on the measurement reference line 14a0 and the scale line 13a of the main scale 13. And the scale value 13b and the measurement value of the main scale by the measurement reference line 14a0 are added to calculate the change of the crack 12, so that the scale line 13a of the main scale 13 and the scale of the sub scale 14 are calculated. Even if the line 14a is combined to form one line, the scale line 13a of the main scale 13 and the scale line 14a of the sub-scale 14 can be separately calculated.

According to the invention of claim 13,
Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale numerical value 13b provided on the main scale 13 of the crack gauge 10 are axial to each other on the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the identifier 19 in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and
The process of determining whether or not the ID of the identifier 19 has been registered, and
A process of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 from above, sideways, and diagonally with the camera 21.
A step of calculating the change of the crack 12 by image processing the angular displacement of the crack gauge 10 in the vertical and horizontal directions taken by the camera 21.
The process of calculating the vertical and horizontal angular displacement of the crack gauge 10 and
A step of calculating the displacement positions of the three-dimensional four elements of the crack gauge 10's direct displacement value (R) and vertical displacement value (X, Y, Z) from the vertical and horizontal angular displacements of the crack gauge 10 and the vernier value. When,
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
Since the process comprises displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20, it is possible to measure not only the two-dimensional displacement of the crack but also the three-dimensional displacement.

According to the invention of claim 15,
The step of calculating the change of the crack 12 by the image processing taken by the camera 21 includes a step of reading out three-dimensional image data composed of three elements of upper, lateral, and oblique images taken from the memory 23 of the smartphone 20. The process of trimming the scanned image of the three elements of upper, side, and diagonal for measurement, the process of binarizing the trimmed image of the three elements of upper, side, and diagonal, and the binarization. The process of performing segmentation of the three elements upward, lateral, and oblique from the image that was created, and
A step of calculating the universal joint angle of the three elements above, sideways, and diagonally of the universal joint 18 in which the crack gauge 10 is installed on the object 11 to be measured.
A gauge measurement process that calculates the measured value from the measured value by the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment, and
The process of registering the first calculated value and
The process of comparing the angle difference ratio and
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
Since the process comprises displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20, it is possible to measure not only the displacement of the crack but also the three-dimensional displacement of the gauge or the measured object.

It is a block diagram which shows Example 1 of the crack measurement support apparatus and the method by this invention. (A) is a front view of the main scale 13 and the vernier scale 14 of the crack gauge 10, and (b) is an enlarged view of the scale portion of the main scale 13 and the vernier scale 14. It is a block diagram of the gauge measurement processing unit 49 by this invention. (A), (b) and (c) are explanatory diagrams of the registration flow by the smartphone 20. (A) and (b) are explanatory views of the measurement flow by the smartphone 20. (A), (b), (c), (d), (e), and (f) are explanatory diagrams of the data confirmation flow by the smartphone 20. It is a detailed explanatory diagram of the registration flow and the measurement flow by the smartphone 20. It is a detailed explanatory diagram of the measurement flow of 3D data by a smartphone 20. (A) is an explanatory diagram of the entire flow from shooting by the camera 21 to measurement of the crack gauge 10, (b) is an explanatory diagram of the flow for binarization processing, and (c) is for segment extraction. It is explanatory drawing of the flow of. It is explanatory drawing of the detailed flow for the numerical search and the line search of a crack gauge 10. (A) is an explanatory diagram of an example of a captured image, (b) is an explanatory diagram of an image obtained by removing noise from an image obtained by cutting a part from (a) with a median filter, and (c) is an explanatory diagram of a grayscale image. It is explanatory drawing of the difference image between the image which passed the median filter and the grayscale image. It is explanatory drawing of the generation of a binarized image. (A) is an explanatory diagram of an image obtained by the logical product of the difference image A shown in FIG. 10 and the binarized image B shown in FIG. 11, and (b) is an image in which noise is removed from the image of (a). It is an explanatory diagram of. (A) is an image of FIG. 12 (b) before segment extraction, (b) is an explanatory diagram of an image extracted with a continuous pixel region as a segment, and (c) is a center of gravity for extracting a segment. An explanatory diagram of an area, (d) is an explanatory diagram of an image for classifying into numerical values and other segments. (A) is an explanatory diagram of an image for classifying numerical values into two types, an inner cylinder (main scale) and an outer cylinder (secondary scale), and (b) is a line (scale line) of the inner cylinder and the outer cylinder. It is explanatory drawing of the image for calculation of the threshold value for allocating into two types. (A) is an explanatory diagram of an image for classifying a line (scale line) into two types, an inner cylinder and an outer cylinder. In particular, an example of the inner cylinder is shown, and (b) is a combined inner cylinder. It is explanatory drawing of the image at the time of separating the line (scale line) of the outer cylinder. (A) is an explanatory diagram of a position for dividing an image into three, (b) is an explanatory diagram of a first condition for division, and (c) is an explanatory diagram of a second condition for division. .. (A) is an explanatory diagram for separating by a dividing line, (b) is an explanatory diagram for verifying the line (scale line) of the inner cylinder and the arrangement of numerical values, and (c) is 0 of the outer cylinder. It is explanatory drawing of the search on the left side line (scale line). (A) is an explanatory diagram of analysis of the inner cylinder and gauge calculation, (b) is an explanatory diagram of measurement of 0.5 to less than 5.0 mm by searching the line (scale line) of the inner cylinder, (c). Is an explanatory diagram for determining the line (scale line) of the inner cylinder sandwiching the scale line 14a0 on the left side of 0 of the outer cylinder. (A) is an explanatory diagram of measurement of 0.5 to less than 5.0 mm, and (b), (c), (d) and (e) search for the numerical value of the inner cylinder, and the measurement of 5.0 mm or more is different. It is explanatory drawing which shows an example. (A) is an explanatory diagram of positioning when the crack gauge 10 is photographed by the camera 21 of the smartphone 20, and (b) is an explanatory diagram of specific measurement by a line (scale line) of the crack gauge 10 and a numerical value. .. It is a front view of the conventional crack gauge 10.

The present invention
In a device in which both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale value 13b of the crack gauge 10 are read and the change of the crack 12 is measured.
A barcode 19 provided on the crack gauge 10 as an identifier in which the ID of the crack gauge 10 is entered, and
A smartphone 20 equipped with the barcode 19, the scale line 13a, and the camera 21 for photographing the scale value 13b, and the like.
A CPU 22 built in the smartphone 20 and calculating the measured value of the crack 12 from the captured image,
The GPS module 25 that captures the installation point of the crack gauge 10 from the GPS 28,
A memory 23 that records the measured value, installation point, measurement date and time, and
It is a crack measurement support device that is built in the smartphone 20 and includes a communication module 26 that transmits data recorded in the memory 23 to the master unit 30.

The crack gauge 10 has a main scale 13 and a vernier scale 14 that advance and retreat in the axial direction in response to a change in the crack 12, and the main scale 13 is provided with a scale line 13a and a scale numerical value 13b. A scale line 14a for vernier and a scale value 14b are provided on the sub-scale 14, and the scale line 14a corresponding to 0 of the scale value 14b among the scale lines 14a for vernier is obtained as a measured value by the main scale 13. The measurement reference line 14a0 of is used.

The smartphone 20 includes a gauge measurement processing unit 49, and has a gauge measurement processing unit 49.
The gauge measurement processing unit 49 is from the image trimming unit 50 of the recorded image data, the binarization unit 51 of the image, the segment extraction unit 57 for extracting numerical values and scale lines, and the gauge measurement unit 58 for calculating the measured value from the image. Become.

The binarization unit 51 of the image includes a smoothing circuit 52 and a noise reduction circuit 56.
The gauge measurement unit 58 includes a numerical value classification unit 59, a numerical value main / sub-classification unit 62, a main / sub-line detection unit 63, a connection line separation unit 64, a main scale double-digit numerical value correspondence unit 69, and a main scale line. It is composed of a verification unit 70 for arranging numerical values, a 0 search unit 71 for a vernier scale, a search unit 72 for a measurement reference line, and a gauge calculation unit 73 for the main scale.

The smoothing circuit 52 includes a difference image creating unit 53, a binarized image generation unit 54, and a logical product acquisition unit 55.
The numerical classification unit 59 includes a numerical recognition unit 60 and a numerical validity verification unit 61.
The separation unit 64 of the connection line includes a calculation unit 65 for the division position, a target selection unit 66, a separation unit 67, and a recognition unit 68 as a line.
The gauge calculation unit 73 of the main scale includes a measurement unit 74 of the vernier scale, a measurement unit 75 of the main scale scale, and a gauge measurement unit 76.

Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale lines 13a and the scale numerical values 13b provided on the main scale 13 of the crack gauge 10 are axial to each other with the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the identifier 19 in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and
The process of determining whether or not the ID of the identifier 19 has been registered, and
A step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21.
The step of calculating the change of the crack 12 by the image processing taken by the camera 21 and the process of calculating the change of the crack 12.
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
The process comprises displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20.

The step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21 is the step of photographing the scale value 14b of the scale lines 14a. The camera 21 is focused on the measurement reference line 14a0 corresponding to 0 and the image is taken.

The step of determining whether or not the ID of the identifier barcode 19 has been registered is the step of registering the unregistered ID if the ID has not been registered, and the step of registering the measurement point by GPS, and then the scale line 13a of the main scale 13. The process shifts to the process of photographing the scale value 13b, the vernier scale line 14a of the subscale 14, and the scale value 14b with the camera 21.

The steps of calculating the change of the crack 12 by the image processing taken by the camera 21 include a step of reading the image data taken from the memory 23 of the smartphone 20 and a step of trimming the read image for measurement. The measurement value is calculated from the step of binarizing the image, the step of extracting the segment from the binarized image, and the main measurement value of the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment. It consists of a gauge measurement process.

The steps of binarizing the trimmed image include a step of creating a differential image of the trimmed image, a step of generating a binarized image from the differential image, and a logical product image of the differential image and the binarized image. It consists of the process of acquiring the image and the process of removing the noise of this logical product image.
The gauge measurement step is a step of classifying the scale value 13b of the main scale 13 and the scale value 14b of the subscale 14 from the extracted segment, and the scale line 13a of the main scale 13 and the subscale from the extracted segment. A step of detecting the scale line 14a of 14 and a step of separating the connection line when the detected scale line 13a and the scale line 14a are connected to one line, and the scale of the subscale 14 The process of searching for the numerical value 0 of the numerical value 14b, the process of searching for the measurement reference line 14a0 corresponding to the searched numerical value 0, and the measured value of the vernier value based on the measurement reference line 14a0 and the scale line 13a of the main scale 13. This is a step of calculating the change of the crack 12 by adding the scale numerical value 13b and the measured value of the main scale by the measurement reference line 14a0.

Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale numerical value 13b provided on the main scale 13 of the crack gauge 10 are axial to each other on the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the identifier 19 in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and
The process of determining whether or not the ID of the identifier 19 has been registered, and
A process of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 from above, sideways, and diagonally with the camera 21.
A step of calculating the change of the crack 12 by image processing the angular displacement of the crack gauge 10 in the vertical and horizontal directions taken by the camera 21.
The process of calculating the vertical and horizontal angular displacement of the crack gauge 10 and
A step of calculating the displacement positions of the three-dimensional four elements of the crack gauge 10's direct displacement value (R) and vertical displacement value (X, Y, Z) from the vertical and horizontal angular displacements of the crack gauge 10 and the vernier value. When,
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
The process comprises displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20.

The step of calculating the change of the crack 12 by the image processing taken by the camera 21 includes a step of reading out three-dimensional image data composed of three elements of upper, lateral, and oblique images taken from the memory 23 of the smartphone 20. The process of trimming the scanned image of the three elements of upper, side, and diagonal for measurement, the process of binarizing the trimmed image of the three elements of upper, side, and diagonal, and the binarization. The process of performing segmentation of the three elements upward, lateral, and oblique from the image that was created, and
A step of calculating the universal joint angle of the three elements above, sideways, and diagonally of the universal joint 18 in which the crack gauge 10 is installed on the object 11 to be measured.
A gauge measurement process that calculates the measured value from the measured value by the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment, and
The process of registering the first calculated value and
The process of comparing the angle difference ratio and
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
The process comprises displaying the calculation result stored in the memory 23 on the display 27 of the smartphone 20.

Hereinafter, Example 1 of the present invention will be described with reference to the drawings.
In FIGS. 2A and 2B, 10 is a crack gauge, and the crack gauge 10 is composed of a main scale 13 and a vernier scale 14, and has a scale line 13a and a scale line 14a, a scale value 13b, a scale value 14b, and the like, respectively. , But is substantially the same as FIG. 22, except that, as shown in FIG. 2A, a barcode 19 is attached as an identifier for individual identification next to the scale window 15 on the surface of the subscale 14. That is. The bar code 19 contains serial number information at the time of shipment of the crack gauge 10, and by reading the bar code 19, the individual of the crack gauge 10 can be uniquely identified. When this barcode 19 is photographed by the camera 21 of the smartphone 20, the measurement location information of the crack gauge 10 registered in advance, the latitude / longitude information of the measurement point and the plot on the map, the automatic registration of the measurement date and time, and the past measurement It is read out as unique data in the smartphone 20 such as the result.
The identifier is not limited to a barcode, and may be another code such as a QR code (registered trademark) as long as it is an identifier that can identify an individual. However, in the following examples, the barcode is used. An example will be described.

Further, the main scale 13 is made of a cylindrical inner cylinder, and the main scale 13 is fitted in a vernier scale 14 made of a cylindrical outer cylinder so as to be able to move forward and backward in the axial direction. The main scale 13 and the vernier scale 14 are fitted so as not to rotate in the direction orthogonal to the axis, but they may rotate. For example, scale lines 13a (13a0, 13a1, 13a2, ...) Are formed on the main scale 13 at intervals of 5 mm, and scale values 13b (13b0, 13b1, 13b2, ...) Are formed at intervals of 10 mm. .. A scale window 15 is formed on the vernier scale 14, and for example, a scale line 13a and a scale numerical value 13b corresponding to 50 mm of the main scale 13 are exposed from the scale window 15. Further, on the subscale 14, for example, scale lines 14a (14a0, 14a1, 14a 2, ...) (Vernier scales) at intervals of 4.5 mm are formed so as to face the scale window 15, and scale values at intervals of 9 mm are formed. 14b (14b0, 14b1, 14b2, ...) Is formed, and the scale line on the left side of "0" of the scale line 14a of the vernier scale 14 is the measurement reference line 14a0.

As shown in FIG. 1, the smartphone 20 is a mobile phone or the like (hereinafter referred to as a smartphone) having the functions of a personal portable computer, and a general-purpose smartphone is used, but it is configured uniquely to the present invention. It may be a thing. The smartphone 20 has a built-in camera 21, and the camera 21 is connected to the CPU 22. A memory 23, a battery 24, a GPS module 25, a communication module 26, and a display 27 are connected to the CPU 22.
The GPS module 25 receives a signal from the GPS 28. The communication module 26 has a function of being able to communicate with a master unit 30 such as a personal computer, a tablet, or a smartphone via the Internet 29.
Then, the CPU 22 of the smartphone 20 reads out the gauge measurement processing unit 49, which is a crack gauge measurement assisting application peculiar to the present invention, stored in the memory 23, and the gauge measurement processing unit 49 uses the gauge measurement processing unit 49 to read the measurement flow described later, which is peculiar to the present invention. To realize.

As shown in FIG. 3, the gauge measurement processing unit 49 includes an image trimming unit 50, an image binarization unit 51, a segment extraction unit 57, and a gauge measurement unit 58.
The image binarization unit 51 includes a smoothing circuit 52 and a noise reduction circuit 56, and the smoothing circuit 52 includes a difference image creation unit 53, a binarization image generation unit 54, and a logical product acquisition unit 55. ..
The gauge measurement unit 58 includes a numerical value classification unit 59, a numerical value main / sub-classification unit 62, a main / sub-line detection unit 63, a connection line separation unit 64, a main scale double-digit numerical value correspondence unit 69, and a main scale line. It consists of a verification unit 70 for the arrangement of numerical values, a 0 search unit 71 for the subscale, a search unit 72 for the measurement reference line, and a gauge calculation unit 73 for the main scale. The connection line separation unit 64 includes a sex verification unit 61, a division position calculation unit 65, a target selection unit 66, a separation unit 67, and a line recognition unit 68, and the gauge calculation unit 73 of the main scale. Consists of a vernier scale measuring unit 74, a main scale measuring unit 75, and a gauge measuring unit 76.

The outline of (1) initial registration flow, (2) measurement flow, and (3) data confirmation flow by the smartphone 20 that executes the crack gauge measurement assist application will be described in detail based on FIGS. 4, 5 and 6. The flow will be described with reference to FIG. 7 and below.
(1) Initial registration flow As shown in FIG. 4A, the name of an application such as "crack gauge measurement assisting application" is displayed in the display field 31 of the smartphone 20. Further, the registration button 32, the measurement button 33, and the data confirmation button 34 are displayed. When the registration button 32 is selected, the screen transitions to the screen shown in FIG. 4 (b).
As shown in FIG. 4B, a display prompting the input of a point name such as "Please enter a point name", a point name display field 36, and a next move button 37 are displayed. In the point name display field 36, enter the name of the point where the crack gauge 10 is installed. After inputting, select the next move button 37 to transition to the screen of FIG. 4 (c).
As shown in FIG. 4 (c), it is displayed that the screen asks for confirmation such as "confirmation of registration information". Further, the point name input in FIG. 4B is displayed in the point name display field 36, and the measured value is displayed in the measured value display field 38. The measured value is 0.0 if no measurement has been made. When the OK button 39 is selected, the screen returns to the screen of FIG. 4 (a).

(2) Measurement flow As shown in FIG. 5A, the name of an application such as “crack gauge measurement assisting application” is displayed in the display field 31 of the smartphone 20. Further, the registration button 32, the measurement button 33, and the data confirmation button 34 are displayed. When the measurement button 33 is selected, the camera 21 is activated and the shooting screen of the crack gauge is displayed. When the data necessary for reading the crack gauge is successfully acquired by shooting, the screen transitions to the screen shown in FIG. 5 (b).
As shown in FIG. 5B, the “measurement result” is displayed in the display field 31 of the smartphone 20. Also, in the measured value display column 38 above, ○○○. ○ (mm) and the measured value this time, in the measured value display column 38 below, ○○○. ○ (mm) and the previous measurement value are displayed. After confirming and selecting the OK button 39, the screen returns to the screen of FIG. 5 (a).

(3) Data confirmation flow As shown in FIG. 6A, the display field 31 of the smartphone 20 contains the name of the application such as "crack gauge measurement assisting application", the registration button 32, the measurement button 33, and the data confirmation button 34. Is displayed. When the data confirmation button 34 is selected, the screen transitions to the screen shown in FIG. 6 (b).
As shown in FIG. 6B, the “measurement point list” is displayed in the measurement point list display field 40. Further, the "point name" is displayed in the point name display column 36, and the measured "year / month / day" is displayed in the last update date display column 41. When you select the combination for which you want to check detailed data from the combinations of "point name" and "year / month / day", the screen transitions to the screen shown in FIG. 6 (c).
As shown in FIG. 6C, the “measurement point” is displayed in the point name display field 36. In the first column below that, the "year / month / day / hour / minute / second" measured in the point date / time display column 41, and in the measured value display column, ○○○. ○ (mm) measured value is displayed. If there are multiple measurement data, they will be displayed in the second and subsequent columns as well.
Here, when any one of "point name change", "data deletion", and "map display" of the operation button 42 is selected, the transitions to FIGS. 6 (d), 6 (e), and 6 (f), respectively. .. Further, when the "data transmission" of the operation button 42 is selected, the e-mail application of the smartphone 20 is activated, and the data managed by the crack gauge application measurement assisting application can be transmitted to an arbitrary e-mail address.

As shown in FIG. 6D, "Please enter a new point name" is displayed in the display field 31 of the smartphone 20. When a new point name is input in the point name display field 36 and the change button 43 is selected after inputting, the message "change completed" is displayed between the point name display field 36 and the change button 43.
As shown in FIG. 6 (e), the message "Delete the point information. Are you sure?" Is displayed. When the erase button 44 is selected, the message "Erase complete" is displayed on the erase button 44.
As shown in FIG. 6 (f), the map application is activated and the map of the measurement point is displayed in the point detailed map display field 45.
In the flow in FIGS. 4, 5 and 6.
(1) The application is terminated by the "return" switching button 35 of the smartphone 20 or the application termination operation of the smartphone 20.
(2) The operation of returning to the home screen is performed by the home screen switching button 35 of the smartphone 20 or the return operation of the smartphone 20.
(3) As described above, to delete data, press Data confirmation → Select measurement point → Option button on the upper right of the application → Select point data deletion → Execute.
The deletion of individual measurement data and point registration information can be selected by operating the check box.

Next, a detailed flow will be described with reference to the drawings shown in FIG. 7 and below.
In FIG. 7,
(1) Step: The smartphone 20 is started, and the crack gauge measurement assisting application stored in the memory 23 of the smartphone 20 is started.
(2) Step: The barcode 19 of the crack gauge 10 to be measured, which is installed in advance at the measurement point or is installed for the first time, is photographed by the camera 21 of the smartphone 20.
(3) Step: "Is the barcode ID registered?" Is determined.
(4) Step: If "NO" (initial registration) in the step (3), the barcode ID of the crack gauge 10 to be measured is stored.
(5) Step: The position information of the smartphone 20 obtained by the processing in the GPS module 25 that has received the signal from the GPS 28 is stored in the memory 23 as the position information of the crack gauge 10. Further, the measurement date and time are automatically stored in the memory 23 by the time function built in the smartphone 20.
(6) Step: When "Barcode ID registered?" Is determined in the step (3) and YES (registered), or when the bar code ID is registered for the first time in the steps (4) and (5). If "is it two-dimensional?" Is judged and YES (two-dimensional), the scales and numbers of the main scale 13 and the sub-scale 14 of the crack gauge 10 to be measured are photographed by the camera 21 for two-dimensional data acquisition, and the memory. Store in 23.

If it is NO (three-dimensional) in the above-mentioned "two-dimensional?" Judgment, the steps (7), (9), and (10) are taken by a camera for three-dimensional data shooting and used as three-dimensional data. It is a flow for processing, and the details will be described later.

(8) Step: The vernier value is calculated by the image processing of the designated method.
There are the following two methods for reading the measured values of the smartphone 20.
First method: This method is the same as the visual measurement, and will be described by taking FIG. 2B as an example. In this first method, the center of the pixel of the camera 21 and the center of the scale window 15 are approximately aligned, or the straight line orthogonal to the surface of the main scale 13 at the center of the scale window 15 is aligned with the optical axis of the camera 21. Take a picture by either. First, assuming that the point including the measurement reference line 14a0 of the scale line 14a on the left side of the scale value 14b0 of "0" of the sub-scale 14 is point A, the measurement reference line 14a0 is the scale value of the main scale 13 at this point A. Since it points between 4.0 "(scale line 13a0) and the scale value" 4.5 "(scale line 13a1), the smaller of the two scale values of these main scales 13 is" 4.0 ". Set the application to read the scale value of 13b4 to 4 cm. Next, if a point where the scale line 13a of the main scale 13 and the scale line 14a of the vernier scale 14 match is searched and this is set as point B, the scale value "3.5" of the vernier scale 14 is set at this point B. Since the scale line 14a of "" is substantially in line with the scale line 13a of the scale value "7.5" of the main scale 13, the application is set to read the vernier value "0.35". The calculation of adding "4.0" read from the scale value of the main scale 13 at point A and the vernier value "0.35" at point B is performed, and 4.35 cm is output as a measured value.
Second method: As shown in FIG. 21A, the viewpoint of the camera 21 is photographed at a position where the scale line 14a0 of the crack gauge 10 is parallel to the vertical direction of the image of the camera 21. This is a method of trying to calculate the measured value only with the image taken from. Specifically, the viewpoint frame 48 is displayed substantially in the center of the field of view of the camera 21, and the crack gauge 10 is placed at the lower end of the viewpoint frame 48 so as to be parallel to the horizontal direction of the image taken by the camera 21. A horizontal line 46 for taking a picture is displayed, and further, a range necessary for calculating a measured value from the taken image including the viewpoint frame 48 (for example, two or more scale lines of a main scale and a scale) is displayed. A vertical line 47 for cutting an image of one or more scale values corresponding to a line, a scale value of "0" on a subscale, and an image range including the scale line corresponding to the scale value) is displayed.
In the first method, it is necessary to analyze two images, and since the main scale 13 and the vernier scale 14 are cylindrical, the scale depends on where the viewpoint of the camera 21 is set on the scale of the crack gauge 10. There is a problem that it is difficult to find a coincidence point between the scale line 13a of the main scale 13 and the scale line 14a of the vernier scale 14 because the degree of curvature of the line is different and the wall thickness of the vernier scale 14 is thick. However, according to the second method, only one image needs to be analyzed, and the problem of the first method is solved.
More specifically, as shown in FIG. 21B, when the scale line 14a0 of the vernier scale 14 is located between the scale line 13a1 and the scale line 13a2 of the main scale 13, the position of the scale line 13a1 is 4. Since it is .5, if the ratio between the scale line 13a1 sandwiching the scale line 14a0 and the scale line 13a2 is m: n, it can be obtained as the scale line 14a0 = 4.5 + 0.5 × m / (m + n).
In this second method, as shown in FIG. 7 or FIG. 9A, a “shooting” step by the camera 21, an “image trimming” step by the image trimming unit 50, and a “binary value” by the image binarizing unit 51. The gauge of the crack gauge 10 is measured by the "chemical conversion" process, the "segment extraction" process by the segment extraction unit 57, and the "cage measurement" process by the gauge measurement unit 58.

Hereinafter, the details of the step (8) by the second method: calculating the vernier value by the image processing of the designated method will be described.
Step (8-1): During the photographing in the step (6), as shown in FIG. 21A, the scale line 14a0 of the crack gauge 10 is substantially parallel to the vertical direction of the image of the camera 21 with respect to the viewpoint of the camera 21. A viewpoint frame 48 is displayed in the substantially center of the field of view of the camera 21 in order to shoot according to a position in which the camera 21 is oriented. A horizontal line 46 for shooting in parallel is displayed, and three vertical lines 47 for cutting an image in a range including the viewpoint frame 48 at the left end and at least a section of about 30 mm in the axial direction are provided. It is displayed.
When shooting the crack gauge 10, the horizontal line 46, the vertical line 47, and the viewpoint frame 48 are used as a guideline for shooting, and the image is within the range (about 30 mm) necessary for calculating the measured value from the shot image. All or part of the scale window 15 of the crack gauge 10 is photographed.
As shown in FIG. 11A, the captured image has a scale line 14a0 of the crack gauge 10 in a direction substantially parallel to the vertical direction of the image of the camera 21 with respect to the viewpoint of the camera 21, and the scale numerical value of the vernier scale 14. The image is taken so that the "0" of 14b is located within the viewpoint frame 48.
If the scale value of the crack gauge 10 in the field of view of the camera 21 in the vehicle is upside down or turned sideways depending on the positions of the crack gauge 10 and the camera 21, the field of view is rotated 180 degrees or 90 degrees before the image is displayed. The application may have a function to memorize.
The image data captured in this way and stored in the memory 23 is read out.
(8-2) Step: As shown in FIG. 11B by the image trimming unit 50, the crack gauge image read out in (8-1) above is an image including the scale line 14a0 of the vernier scale 14 and the numerical value "0". Cut out the range of (about 30 mm). In addition, the range for cutting an image in this image cutting step includes at least two numerical values and three or more non-numerical values, so that the image can be cut out in the numerical value recognition (8-7) step described later. It is set so that an error does not occur when two or more numerical values are not found, and an error occurs when three or more non-numeric values are not found.

(8-3) Step: In order to binarize the image of FIG. 11 (b) cut out in the above (8-2) by the binarization unit 51 of the image, the smoothing circuit 52 of FIG. 9 (b). As shown in FIG. 11C, an image from which noise has been removed by a median filter and a grayscale image are obtained by the "smoothing process" step and the "fine line / sesame grain noise removal" step by the noise removal circuit 56.
(8-4) Step: A difference image (A) as shown in FIG. 11 (c) is created by the difference image creating unit 53 from the image from which these noises have been removed and the grayscale image.

(8-5) Step: In FIG. 12, when the difference image is binarized, the threshold value is determined in units of square blocks. Since the crack gauge 10 has a cylindrical shape, an elongated range with high brightness in the horizontal direction parallel to the axis of the crack gauge 10 often appears due to the surrounding light source (sun, lighting, etc.). Enlarge the image so that it can be treated as a rectangle. Next, the binarized image generation unit 54 creates a binarized image in a state of being enlarged in the vertical direction, and this image is reduced in the vertical direction and returned to the original size (image B).
As shown in FIG. 13 (a), the logical product acquisition unit 55 obtains an image of the logical product (AandB) of the difference image (A) of FIG. 11 (c) and the binarized image (B) of FIG. Be done. Since fine lines and sesame grain noise remain even in this image, the noise reduction circuit 56 creates an image shown in FIG. 13 (b) in which these noises are removed, and this image is used for the following analysis.
(8-6) Step: Based on the image of FIG. 14 (a) (same as the image of FIG. 13 (b)), as shown in FIG. 14 (b) by the segment extraction unit 57, a region of continuous pixels a. , B, c, ... Are extracted as one segment each. When extracting a segment, as shown in FIG. 14C, the segment surrounded by the position of the center of gravity d of the segment and the line segment parallel to the vertical direction and the line segment parallel to the horizontal direction of the image is defined. The elements in the range of the surrounding rectangular area e are combined and calculated. Is there a segment when extracting a segment? If NO, an error occurs as shown in FIG. 9C, and if YES, the process proceeds to the next step.

(8-7) Step: As shown in FIG. 14 (d), the numerical value recognition unit 60 performs numerical value recognition on all the extracted segments by OCR (optical reading device). In the numerical recognition step (8-7) in FIG. 7, in detail, as shown in FIG. 10, a similarity degree (0.0 to 1.0) is obtained by pattern matching, and the threshold value of the similarity degree is, for example, 0. Recognize 75 or more as a numerical value. At this stage, it is classified into numerical values and other segments. An error occurs when the cutting range is too narrow in the step (8-2) and two or more numerical values are not found, or an error occurs when three or more non-numerical values are not found.
The validity verification unit 61 of the numerical value verifies the validity of the numerical value. In this verification, the median segment height is calculated from the heights of all the segments recognized as numerical values in the above procedure, and the limit value (lower limit: median x 0.5, upper limit: median x 1.5) is calculated. ) Only the segments that fit in are the numerical values. Other than that, it is judged as a non-numerical value as a false recognition. This process excludes extremely small or large heights.
The numerical values recognized by the main / sub-classification unit 62 of the numerical values are classified into those of the inner cylinder (main scale 13) and those of the outer cylinder (sub-scale 14). As shown in FIG. 15A, the highest points T and the lowest points B in all the vertical directions in the image of the segment recognized as numerical values are obtained, and the averages of these are calculated as the inner cylinder (main scale 13) and the outer cylinder (secondary). The threshold value O of the scale 14) is set. Based on this threshold value O, the center of gravity d1 and d2 of the upper and lower numerical values are obtained, and the numerical value of the inner cylinder (main scale 13) and the outer cylinder (secondary scale 14) are obtained by the center of gravity d1 and d2 and the threshold value O. Sort to the numerical value of.
As shown in FIG. 15B, the center of gravity line P1 connecting the center of gravity d1 of the numerical value of the inner cylinder (main scale 13) and the rectangular frame P2 representing the average of the heights of the numerical values are obtained, and similarly, the outer cylinder (secondary scale) is obtained. 14) The center of gravity line Q1 connecting the center of gravity d2 of the numerical value and the rectangular frame Q2 representing the average of the heights of the numerical values are obtained.

(8-8) Step: In FIG. 16A, the line (scale line) of the inner cylinder (main scale 13) and the outer cylinder (secondary scale 14) is detected by the main / sub line detection unit 63. Classify non-numeric segments as lines. The "line" includes a scale line used for calculation, a short line not directly used for calculation, and a long line in which two scale lines are connected. The threshold value is a parameter calculated from the numerical values of the inner cylinder (main scale 13) and the outer cylinder (secondary scale 14). FIG. 16A shows an example of the inner cylinder (main scale 13), and the outer cylinder (secondary scale 14) is also calculated with the parameters calculated from the numerical values of the outer cylinder. The center of gravity of the line shall be within the range of "average of the center of gravity of the numerical value + average of the height of the numerical value".
The segment (n) in FIG. 16B is not recognized as a line due to the deviation of the center of gravity and the lack of height. Since the line r of the inner cylinder (main scale 13) and the line s of the outer cylinder (secondary scale 14) in FIG. 16B are at the same positions, the lines are connected. In such a case, a process of separating the line r of the inner cylinder (main scale 13) and the line s of the outer cylinder (secondary scale 14) is performed by the separating portion 64 of the connecting line.

(8-9) Process:
As shown in FIG. 17A, in order to calculate the separation position by the division position calculation unit 65, the matching line is divided into three, an outer cylinder upper portion u1, an inner cylinder w, and an outer cylinder lower portion u2. Therefore, the dividing line t between the outer cylinder upper portion u1 and the inner cylinder w is the upper end of the inner cylinder (the upper end of the scale window 15), and the dividing line u between the inner cylinder and the lower portion of the outer cylinder is the lower end of the inner cylinder (scale window 15). Lower end) (the midpoint between the lower end of the inner cylinder line and the upper end of the outer cylinder line).
The dividing lines t and u as described above are set, and the one having the following two conditions is selected by the target selection unit 66 as a combination of the lines.
Condition 1: In FIG. 17 (b), in a segment other than the numerical value, the upper end of the segment is above the center of gravity average P1 of the numerical value of the inner cylinder (main scale 13) shown in FIG. 15 (b). The lower end of the segment is below the average Q1 of the center of gravity of the numerical value of the outer cylinder (vernier scale 14).
Condition 2: As shown in FIG. 17 (c), a segment other than a numerical value and a line that straddles the dividing lines t and u (a long line in which two scale lines are connected).

As shown in FIG. 18A, the line having the above conditions 1 and 2 is separated by the separation unit 67 by the dividing line u. After the division, the area is adjusted (margin removal) and the center of gravity is recalculated.
Whether or not the divided region is appropriate as a line is verified in the same manner as in the example shown in FIG. 16 (a).
The numerical value of the inner cylinder (main scale 13) may have one digit or two digits. Since the numerical value is recognized as 0 to 9 in the above example, a continuous numerical value of 10 or more is processed to be recognized as a 2-digit numerical value by the 2-digit numerical value corresponding unit 69 of the main scale.
The line of the inner cylinder (main scale 13) and the arrangement of numerical values are verified by the verification unit 70 of the line of the main scale and the arrangement of numerical values. As shown in FIG. 18B, since it is lined up with "numerical value / line / line", it is confirmed whether this is repeated. Therefore, find the numerical value and verify the arrangement from there to the left and right. If one numerical value and three lines are found in the arrangement of "numerical value / line / line", it is judged that there is no problem in arranging the line and the numerical value of the inner cylinder (main scale 13).

(8-10) Step: In FIG. 18C, the 0 search unit 71 of the vernier scale searches for “0” from the numerical group of the outer cylinder (vernier scale 14). After searching for "0", the search unit 72 of the measurement reference line finds the scale line 14a0 to the left of "0".
(8-11) Step: When the measurement reference line 14a0 is found, the gauge calculation unit 73 of the main scale analyzes the inner cylinder (main scale 13) and calculates the gauge. Therefore, in FIG. 19A, there are two lines (main scale 13) of the measurement reference line 14a0 on the left side line of “0” of the outer cylinder (vernier scale 14) and the inner cylinder (main scale 13) sandwiching the measurement reference line 14a0. The scale line 13a0 and the scale line 13a1) are detected. Measurement of 0.5 mm to less than 5.0 mm is performed at the relative position between the two detected lines and the measurement reference line 14a0. Further, the scale value 13b of the inner cylinder (main scale 13) is detected, and the value and the detection position are measured to be 5 mm or more (the length is an integral multiple of the scale of the main scale 13).

More specifically, in order to search the line of the inner cylinder (main scale 13) and measure less than 0.5 mm to 5.0 mm, it corresponds to the scale value "0" of the outer cylinder (secondary scale 14). Two lines (scale line 13a0 and scale line 13a1) of the inner cylinder (main scale 13) existing on the left and right of the scale line 14a0 are detected. The reference point used for this detection is calculated as follows.
(1) Reference point of the outer cylinder (vernier scale 14) line: An intermediate point of horizontal pixels existing in the range of 10% of the upper end of the line.
(2) Reference point of the inner cylinder (main scale 13) line: An intermediate point of horizontal pixels existing in the range of 25% at the lower end of the line.
FIG. 19B shows an example of an inner cylinder (main scale 13) line, and extracts a pixel range in the horizontal direction from a range of a predetermined height. The intermediate point (m) of the extracted horizontal pixels is used as a reference point.

In FIG. 19 (c), two lines (scale line 13a0 and scale line 13a1) of the inner cylinder (main scale 13) sandwiching the measurement reference line 14a0 corresponding to the scale value “0” of the outer cylinder (vernier scale 14). Is determined as follows.
Left side line of inner cylinder (scale line 13a0): If "reference point of inner cylinder line ≤ reference point of outer cylinder line", the left side line of the inner cylinder is set to scale line 13a0.
Right side line of inner cylinder (scale line 13a1): If "reference point of outer cylinder line <reference point of inner cylinder line", the right side line of the inner cylinder is set to scale line 13a1.
For measurements of 0.5 mm to less than 5.0 mm, in FIG. 20 (a), the measurement unit 74 of the vernier scale is used at the relative position of the measurement reference line 14a0 corresponding to the scale value “0” of the outer cylinder (secondary scale 14). measure. That is, the distance on the screen between the scale line 13a0 on the left side of the inner cylinder (main scale 13) and the scale line 13a1 on the right side of the inner cylinder (main scale 13) is measured and set to L0.
Further, the distance between the scale line 13a0 on the left side of the inner cylinder (main scale 13) and the scale line 14a0 on the left side of the scale value "0" of the outer cylinder (secondary scale 14) is L1.
From L0 and L1, the measurement (vernier value) of 0.5 mm to less than 5.0 mm is calculated from the calculation formula (L1 / L0) × 5 mm.

The method of searching the scale value 13b of the inner cylinder (main scale 13) and measuring 5 mm or more is as follows.
The search for the scale numerical value 13b of the inner cylinder (main scale 13) is one of the following two methods.
1. 1. As shown in FIGS. 20 (b) and 20 (c), there are two inner cylinders (main scale 13) in which the scale value 13b of the inner cylinder (main scale 13) sandwiches the measurement reference line 14a0 of the outer cylinder (secondary scale 14). When it is between the lines (scale line 13a0 and scale line 13a1), L0 = detection value × 1 cm.
2. 2. As shown in FIGS. 20 (d) and 20 (e), the numerical value of the inner cylinder is between the two lines (scale line 13a0 and scale line 13a1) of the inner cylinder sandwiching the measurement reference line 14a0 of the outer cylinder (vernier scale 14). If it is on the right side of the right line (scale line 13a1), L0 = (detection value-0.5) x 1 cm.
By adding the measured values of 5 mm or more obtained by the measuring unit 75 of the main scale and the measured values of 0.5 mm to less than 5.0 mm obtained by the measuring unit 74 of the vernier scale by the gauge measuring unit 76. The measured value of the crack gauge 10 is calculated.
If the calculated numerical value is two or less decimal places, the final rounding process is performed to round the fractions less than 0.5 mm.
For example, 0.75 to 1.25 mm is 1.0 mm, and 1.25 to 1.75 mm is 1.5 mm.

(11) Step: When the measurement is completed, the measured value is stored in the memory 23 of the smartphone 20.
(12) Step: As shown in FIG. 5 (b), the measurement result is displayed on the display 27 of the smartphone 20. The measurement result is communicated to the master unit 30 via the communication module 26 and the Internet 29.

In the above embodiment, the measured value is processed as two-dimensional data, but it can also be processed as three-dimensional data.
(7) Step: When processing as 3D data, the camera 21 for 3D data shooting captures 3 elements of upper, lateral, and oblique.
(9) Step: The angular displacement in the vertical / horizontal direction of the crack gauge 10 to be measured is calculated by the image processing of the designated method. This step (9) will be described in detail in steps (9-1) to (9-10) based on FIG.

(9-1) Step: Read out the three-dimensional image data (upper, lateral, and oblique elements) photographed in the step (7) and stored in the memory 23. At the time of shooting, as shown in FIG. 11A, the scale line 14a of the crack gauge 10 is substantially vertical to the viewpoint of the camera 21, and the scale value 14b “0” of the vernier scale 14 is located near the center. And shoot.
(9-2) Step: The crack gauge image read out in (9-1) above is trimmed by the image trimming unit 50 into three elements, upper, lateral, and oblique.
(9-3) Step: An image obtained by removing noise from the image trimmed in (9-2) above with a median filter and an image in which the upper, lateral, and oblique elements are grayscaled are obtained.
(9-4) Step: From the image from which these noises have been removed and the grayscale image, the difference image creating unit 53 performs difference image processing of three elements of upper, lateral, and oblique.
(9-5) Step: The difference image is binarized by the binarization image generation unit 54, and the binarization process of the three elements of upper, lateral, and oblique is performed.

(9-6) Step: From the binarized image, the segment extraction unit 57 performs continuous segmentation of three elements, upper, lateral, and oblique.
(9-7) Step: For three-dimensional data processing, the universal joint angles of the three elements above, to the side, and diagonal to the universal joint 18 to which the crack gauge 10 is attached are calculated.
(9-8) Step: In the case of the initial value, the data of the step (9-7) is registered in the memory 23.
Step (9-9): Compare the latest value with the initial value of step (9-8).
(9-10) Step: The data is stored in the memory 23 of the smartphone 20.
(10) Step: From the angular displacement of the crack gauge 10 in the vertical and horizontal directions and the vernier value, the displacement value of the three-dimensional four elements of the direct displacement amount (R) of the crack gauge 10 and the vertical displacement value (X, Y, Z) is obtained. Calculate.
(12) Step: The measurement result is displayed on the display 27 of the smartphone 20. The measurement result is communicated to the master unit 30 via the communication module 26 and the Internet 29.

10 ... Crack gauge, 11 ... Measured object, 12 ... Crack, 13 ... Main scale, 14 ... Secondary scale, 15 ... Scale window, 16 ... Anchor nut, 17 ... Bolt, 18 ... Universal joint, 19 ... Bar as identifier Code, 20 ... Smartphone, 21 ... Camera, 22 ... CPU, 23 ... Memory, 24 ... Battery, 25 ... GPS module, 26 ... Communication module, 27 ... Display, 28 ... GPS, 29 ... Internet, 30 ... Master unit, 31 ... Display column, 32 ... Registration button, 33 ... Measurement button, 34 ... Data confirmation button, 35 ... Switching button, 36 ... Point name display column, 37 ... Next move column, 38 ... Measurement value display column, 39 ... OK button , 40 ... Measurement point list display column, 41 ... Last update date display column, 42 ... Operation button, 43 ... Change button, 44 ... Erase button, 45 ... Point detail map display column, 46 ... Horizontal line, 47 ... Vertical line , 48 ... viewpoint frame, 49 ... gauge measurement processing unit, 50 ... image trimming unit, 51 ... image binarization unit, 52 ... smoothing circuit, 53 ... difference image creation unit, 54 ... binarization image generation unit, 55 ... Logic product acquisition unit, 56 ... Noise removal circuit, 57 ... Segment extraction unit, 58 ... Gauge measurement unit, 59 ... Numerical classification unit, 60 ... Numerical value recognition unit, 61 ... Numerical value validation unit, 62 ... Numerical value Main / sub-classification unit, 63 ... main / sub-line detection unit, 64 ... connection line separation unit, 65 ... division position calculation unit, 66 ... target selection unit, 67 ... separation unit, 68 ... line recognition unit , 69 ... Two-digit numerical value correspondence part of the main scale, 70 ... Verification part of the line of the main scale and the arrangement of numerical values, 71 ... 0 search part of the sub-scale, 72 ... Search part of the measurement reference line, 73 ... Gauge of the main scale Calculation unit, 74 ... Bernier scale measurement unit, 75 ... Main scale scale measurement unit, 76 ... Gauge measurement unit.

Claims (15)

In a device in which both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale value 13b of the crack gauge 10 are read and the change of the crack 12 is measured.
An identifier 19 provided on the crack gauge 10 and in which the ID of the crack gauge 10 is entered, and
A smartphone 20 provided with the identifier 19 and the camera 21 for photographing the scale line 13a and the scale numerical value 13b.
A CPU 22 built in the smartphone 20 and calculating the measured value of the crack 12 from the captured image,
The GPS module 25 that captures the installation point of the crack gauge 10 from the GPS 28,
A memory 23 that records the measured value, installation point, measurement date and time, and
A crack measurement support device built in the smartphone 20 and provided with a communication module 26 for transmitting data recorded in the memory 23 to the master unit 30. The crack measurement support device according to claim 1, wherein the identifier 19 is composed of a barcode. The crack gauge 10 has a main scale 13 and a vernier scale 14 that advance and retreat in the axial direction in response to a change in the crack 12, and the main scale 13 is provided with a scale line 13a and a scale numerical value 13b. A scale line 14a for vernier and a scale value 14b are provided on the sub-scale 14, and the scale line 14a corresponding to 0 of the scale value 14b among the scale lines 14a for vernier is obtained as a measured value by the main scale 13. The crack measurement support device according to claim 1 or 2, wherein the measurement reference line 14a0 is set. The smartphone 20 includes a gauge measurement processing unit 49, and has a gauge measurement processing unit 49.
The gauge measurement processing unit 49 is from the image trimming unit 50 of the recorded image data, the binarization unit 51 of the image, the segment extraction unit 57 for extracting numerical values and scale lines, and the gauge measurement unit 58 for calculating the measured value from the image. The crack measurement support device according to claim 1, 2 or 3, wherein the crack measurement support device is characterized by the above. The binarization unit 51 of the image includes a smoothing circuit 52 and a noise reduction circuit 56.
The gauge measurement unit 58 includes a numerical value classification unit 59, a numerical value main / sub-classification unit 62, a main / sub-line detection unit 63, a connection line separation unit 64, a main scale double-digit numerical value correspondence unit 69, and a main scale line. The crack measurement support device according to claim 4, further comprising a verification unit 70 for arranging numerical values, a 0 search unit 71 for a vernier scale, a search unit 72 for a measurement reference line, and a gauge calculation unit 73 for the main scale. The smoothing circuit 52 includes a difference image creating unit 53, a binarized image generation unit 54, and a logical product acquisition unit 55.
The numerical classification unit 59 includes a numerical recognition unit 60 and a numerical validity verification unit 61.
The separation unit 64 of the connection line includes a calculation unit 65 for the division position, a target selection unit 66, a separation unit 67, and a recognition unit 68 as a line.
The crack measurement support device according to claim 5, wherein the gauge calculation unit 73 of the main scale includes a measurement unit 74 of the vernier scale, a measurement unit 75 of the main scale scale, and a gauge measurement unit 76. Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale lines 13a and the scale numerical values 13b provided on the main scale 13 of the crack gauge 10 are axial to each other with the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the identifier 19 in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and
The process of determining whether or not the ID of the identifier 19 has been registered, and
A step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21.
The step of calculating the change of the crack 12 by the image processing taken by the camera 21 and the process of calculating the change of the crack 12.
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
A crack measurement support method comprising a step of displaying a calculation result stored in the memory 23 on a display 27 of the smartphone 20. The crack measurement support method according to claim 7, wherein the identifier 19 is composed of a barcode. The step of photographing the scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 with the camera 21 is the step of photographing the scale value 14b of the scale lines 14a. The crack measurement support method according to claim 7 or 8, wherein the camera 21 is focused on the measurement reference line 14a0 corresponding to 0 for shooting. The step of determining whether or not the ID of the barcode 19 has been registered is a step of registering an unregistered ID if the ID has not been registered, and a step of registering a measurement point by GPS, and then a scale line 13a and a scale of the main scale 13. The crack measurement support method according to claim 8 , wherein the numerical value 13b, the vernier scale line 14a of the subscale 14, and the scale numerical value 14b are shifted to the process of photographing with the camera 21.
The steps of calculating the change of the crack 12 by the image processing taken by the camera 21 include a step of reading the image data taken from the memory 23 of the smartphone 20 and a step of trimming the read image for measurement. The measurement value is calculated from the step of binarizing the image, the step of extracting the segment from the binarized image, and the main measurement value of the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment. The crack measurement support method according to claim 9 or 10, wherein the method comprises a gauge measurement step. The steps of binarizing the trimmed image include a step of creating a differential image of the trimmed image, a step of generating a binarized image from the differential image, and a logical product image of the differential image and the binarized image. It consists of the process of acquiring the image and the process of removing the noise of this logical product image.
The gauge measurement step is a step of classifying the scale value 13b of the main scale 13 and the scale value 14b of the subscale 14 from the extracted segment, and the scale line 13a of the main scale 13 and the subscale from the extracted segment. A step of detecting the scale line 14a of 14 and a step of separating the connection line when the detected scale line 13a and the scale line 14a are connected to one line, and the scale of the subscale 14 The process of searching for the numerical value 0 of the numerical value 14b, the process of searching for the measurement reference line 14a0 corresponding to the searched numerical value 0, and the measured value of the vernier value based on the measurement reference line 14a0 and the scale line 13a of the main scale 13. The crack measurement support method according to claim 11 , further comprising a step of adding the measured value of the main scale by the scale numerical value 13b and the measurement reference line 14a0 to calculate the change of the crack 12. .. Both ends of the crack gauge 10 are installed on the object to be measured 11 so as to sandwich the crack 12, and the scale line 13a and the scale numerical value 13b provided on the main scale 13 of the crack gauge 10 are axial to each other on the main scale 13. In the crack measurement support method for measuring the change of the crack 12 by the scale line 14a for the vernier of the sub-scale 14 and the scale value 14b.
The process of photographing the identifier 19 in which the ID of the crack gauge 10 provided in the crack gauge 10 is entered with the camera 21 of the smartphone 20 and
The process of determining whether or not the ID of the identifier 19 has been registered, and
The scale line 13a and the scale value 13b of the main scale 13 and the vernier scale line 14a and the scale value 14b of the sub scale 14 are photographed by the camera 21 as three-dimensional data of three elements of upward, lateral, and oblique. And the process to do
A step of calculating the vertical / horizontal angular displacement of the crack gauge 10 taken by the camera 21 as a change of the crack 12 by image processing.
The process of calculating the vertical and horizontal angular displacement of the crack gauge 10 and
A step of calculating the displacement positions of the three-dimensional four elements of the crack gauge 10's direct displacement value (R) and vertical displacement value (X, Y, Z) from the vertical and horizontal angular displacements of the crack gauge 10 and the vernier value. When,
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
A crack measurement support method comprising a step of displaying a calculation result stored in the memory 23 on a display 27 of the smartphone 20. The crack measurement support method according to claim 13, wherein the identifier 19 is composed of a barcode. The step of calculating the change of the crack 12 by the image processing taken by the camera 21 includes a step of reading out three-dimensional image data composed of three elements of upper, lateral, and oblique images taken from the memory 23 of the smartphone 20. The process of trimming the scanned image of the three elements of upper, side, and diagonal for measurement, the process of binarizing the trimmed image of the three elements of upper, side, and diagonal, and the binarization. The process of performing segmentation of the three elements upward, lateral, and oblique from the image that was created, and
A step of calculating the universal joint angle of the three elements above, sideways, and diagonally of the universal joint 18 in which the crack gauge 10 is installed on the object 11 to be measured.
A gauge measurement process that calculates the measured value from the measured value by the main scale 13 and the vernier value by the sub-scale 14 based on the extracted segment, and
The process of registering the first calculated value and
The process of comparing the angle difference ratio and
The process of storing the calculated value of the crack 12 in the memory 23 of the smartphone 20 and
The crack measurement support method according to claim 13, wherein the operation result stored in the memory 23 is displayed on the display 27 of the smartphone 20.

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