CN106997604A - A kind of each component thickness analysis method of power equipment based on X ray image - Google Patents

Abstract

The present application relates to the field of electric power information technology, in particular to a method for analyzing the thickness of each component of electric power equipment based on X-ray images. The image collected by the X-ray imaging board is a plane image, which can only reflect the relative position of each component, and cannot distinguish the thickness of the component. Due to the different shooting angles of the pictures, the images of each part will overlap. For the positional relationship of the overlapping parts Difficult to tell. This application provides a method for analyzing the thickness of each component of power equipment based on X-ray images: receiving the images obtained by the X-ray digital imaging board, judging whether the image quality meets the requirements; preprocessing the images; marking the processed images; Segment the image; calculate the total thickness of the device passed by the X-ray; calculate the thickness corresponding to each color in the image and the thickness of each component. With the help of the color system distribution diagram, the thickness distribution of the parts in the picture is clearly displayed in different colors, which provides a new basis for the analysis of the image.

Description

A Thickness Analysis Method of Each Part of Power Equipment Based on X-ray Image

technical field

The present application relates to the field of electric power information technology, in particular to a method for analyzing the thickness of each component of electric power equipment based on X-ray images.

Background technique

In the process of X-ray inspection, X-rays pass through the sample to be inspected, and then an enlarged X-ray image is formed on the X-ray image intensifier. With the widespread application of X-ray non-destructive testing technology in non-destructive testing of power equipment, it provides a very favorable detection method for power equipment troubleshooting. This technology can quickly locate the fault point and fault type, greatly shortening the maintenance of power equipment time. Now, the X-ray non-destructive testing technology of power equipment has begun to develop in the direction of intelligence, that is, to realize the automatic detection of power equipment with the help of robot technology and computer technology. The recognition of X-ray images is the key technology to realize X-ray intelligent detection. Due to the many types of faults and inconsistent fault locations, the development of X-ray autonomous detection technology is slow. Image recognition refers to the process in which graphic stimuli act on sensory organs, and people recognize that it is a certain graphic they have experienced, which is also called image recognition. In image recognition, there must be both information that enters the senses at the time and information stored in memory. Only through the process of comparing the stored information with the current information can the recognition of the image be realized. The development of image recognition technology provides strong technical support for independent judgment and location of X-ray image faults.

However, the image collected by the X-ray imaging panel is a plane image, which can only reflect the relative position of each component, and cannot distinguish the thickness of the component. Due to the different shooting angles of the pictures, the images of each part will overlap. For the overlapping parts The positional relationship is difficult to distinguish.

Contents of the invention

The purpose of the present invention is to solve the above-mentioned problems that due to the different shooting angles of the pictures, the images of various parts will overlap, the positional relationship of the overlapping parts is difficult to distinguish, and the thickness of the electric equipment components cannot be distinguished.

For this reason, the embodiment of the present invention provides the following technical solution: a method for analyzing the thickness of each component of power equipment based on X-ray images, the analysis method includes the following steps:

(1) Receive the image obtained by the X-ray digital imaging panel, and judge whether the image quality meets the requirements;

(2) Preprocessing the image;

(3) Calculate the pixel gray level;

(4) Segment the image;

(5) Calculate the total thickness of the equipment that X-rays pass through;

(6) Calculate the thickness corresponding to each color in the image and the thickness of each component.

Optionally, the analysis method comprises the steps of:

(1) Receive the image obtained by the X-ray digital imaging panel, and judge whether the image quality meets the requirements;

(2) Carry out noise filtering and grayscale processing to the image;

(3) The grayscale G of the pixel in the grayscale image is represented by percentage, 0% represents white, and 100% represents black;

(4) Segment the image, describe the contours of the regions with the same grayscale, divide the grayscale regions, obtain the ratio of the grayscale value G of each region to the maximum grayscale value _Gmax , and obtain the grayscale percentage M;

(5) According to the attenuation law of the X-ray intensity when passing through the object, the relationship between the ray intensity and the gray scale percentage M, obtain the total thickness of the equipment that the X-ray passes through;

(6) Divide red, orange, yellow, green, blue, blue, and purple into 100 colors according to the arrangement, and form a one-to-one correspondence between the color and the gray scale percentage, and the corresponding color according to the steps ( The image divided in 4) generates a color system distribution map, calculates the thickness corresponding to each color in the image, and annotates the corresponding component thickness in the image.

Optionally, the attenuation law formula in the step (5) is:

In the formula, I ₀ and I are the X-ray intensity before and after the X-ray passes through the object, μ _m is the mass absorption coefficient of the material that the ray passes through, ρ is the density of the material that the ray passes through, and d is the density of the equipment that the ray passes through The total thickness, k is the correction factor.

Optionally, the relationship between the ray intensity I and the gray percentage M in the step (5) is:

I=I ₀ (1-M) (2)

The formula (2) is substituted into the formula (1) to obtain

The total thickness of the device passed by the X-ray can be obtained.

Optionally, the correction coefficient k can be obtained by inversely solving the correction coefficient k by substituting the total thickness d of the corresponding device in the image into formula (3).

Optionally, the X-ray intensity will change with the transmission distance, and when the parts in the image are not on the same plane, it can be obtained according to the X-ray propagation law formula.

Optionally, the formula of the propagation law of the X-ray is:

In the formula, R ₁ and R ₀ are the distances from the current irradiation point to the X-ray emission point, and I ₁ and I ₀ are the X-ray intensities at the corresponding irradiation points.

The technical solution provided by the embodiment of the present invention includes the following beneficial effects: the present invention calculates the total thickness size of the equipment in the image through the grayscale image, and uses the color system distribution map to make the thickness distribution of the components in the picture clear with different colors It is clearly displayed in the picture, which provides a new basis for the analysis of the image.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings that need to be used in the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, without paying creative labor Below, other drawings can also be obtained from these drawings.

Fig. 1 is a schematic flow chart of a method for analyzing the thickness of each component of electric equipment in an embodiment of the present invention.

detailed description

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description serve to explain the principles of the invention.

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, In other words, other drawings can also be obtained from these drawings without paying creative labor.

Rays can penetrate substances that the naked eye cannot penetrate to make the film sensitive. When X-rays or r-rays irradiate the film, like ordinary light, they can cause the silver halide in the emulsion layer of the film to produce a latent image. If the absorption coefficient is different, the ray energy irradiated to each part of the film will also be different, and the defect can be judged according to the blackness difference of each part of the film processed in the darkroom.

The technical solution of the present application will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

Embodiment one

Referring to Fig. 1, the present application provides a method for analyzing the thickness of each component of power equipment based on X-ray images, and the analysis method includes the following steps:

(1) Receive the image obtained by the X-ray digital imaging panel, and judge whether the image quality meets the requirements;

(2) Preprocessing the image;

(3) Calculate the pixel gray level;

(4) Segment the image;

(5) Calculate the total thickness of the equipment that X-rays pass through;

(6) Calculate the thickness corresponding to each color in the image and the thickness of each component.

The specific working process of this application is as follows: After the computer receives the image obtained by the X-ray digital imaging board, it judges whether the image quality meets the requirements; preprocesses the image, filters the image noise, and performs grayscale processing on the image at the same time; calculates the grayscale of the pixel degree; segment the image, divide the gray area according to the gray level of the image; set the reference plane in the image; calculate the correction coefficient k of the reference plane; divide the layers according to the spatial distribution of the components in the image; calculate the distance between each layer and the reference plane R; calculate the ray intensity I ₀ distributed in each layer; calculate the thickness of each layer component; assign colors and display.

Embodiment two

Referring to Fig. 1, the present application provides a method for analyzing the thickness of each component of power equipment based on X-ray images, and the analysis method includes the following steps:

(1) Receive the image obtained by the X-ray digital imaging panel, and judge whether the image quality meets the requirements;

(2) Carry out noise filtering and grayscale processing to the image;

(3) The grayscale G of the pixel in the grayscale image is represented by percentage, 0% represents white, and 100% represents black;

(4) Segment the image, describe the contours of the regions with the same grayscale, divide the grayscale regions, obtain the ratio of the grayscale value G of each region to the maximum grayscale value _Gmax , and obtain the grayscale percentage M;

(5) According to the attenuation law of the X-ray intensity when passing through the object, the relationship between the ray intensity and the gray scale percentage M, obtain the total thickness of the equipment that the X-ray passes through;

(6) Divide red, orange, yellow, green, blue, blue, and purple into 100 colors according to the arrangement, and form a one-to-one correspondence between the color and the gray scale percentage, and the corresponding color according to the steps ( The image divided in 4) generates a color system distribution map, calculates the thickness corresponding to each color in the image, and annotates the corresponding component thickness in the image.

The specific working process of this application is as follows: After the computer receives the image obtained by the X-ray digital imaging board, it judges whether the image quality meets the requirements; preprocesses the image, filters the image noise, and performs grayscale processing on the image at the same time; calculates the grayscale of the pixel degree, the grayscale G of the pixel in the grayscale image is expressed as a percentage, 0% means white, and 100% means black; segment the image, draw the outline of the area with the same grayscale, divide the grayscale area, and obtain the grayscale of each area The ratio of the value G to the maximum gray value G _max , to obtain the gray percentage M; set the reference plane in the image; calculate the correction coefficient k of the reference plane; divide the layers according to the spatial distribution of the components in the image; calculate the relationship between each layer and the reference The distance R of the plane; the calculation of the ray intensity I ₀ distributed in each layer; the calculation of the component thickness of each layer; the assignment of colors and display.

Embodiment Three

Referring to Fig. 1, the present application provides a method for analyzing the thickness of each component of power equipment based on X-ray images, and the analysis method includes the following steps:

(1) Receive the image obtained by the X-ray digital imaging panel, and judge whether the image quality meets the requirements;

(2) Carry out noise filtering and grayscale processing to the image;

(3) The grayscale G of the pixel in the grayscale image is represented by percentage, 0% represents white, and 100% represents black;

(4) Segment the image, describe the contours of the regions with the same grayscale, divide the grayscale regions, obtain the ratio of the grayscale value G of each region to the maximum grayscale value _Gmax , and obtain the grayscale percentage M;

(5) According to the attenuation law formula of X-ray intensity when passing through the object:

In the formula, I ₀ and I are the X-ray intensity before and after the X-ray passes through the object, μ _m is the mass absorption coefficient of the material that the ray passes through, ρ is the density of the material that the ray passes through, and d is the density of the equipment that the ray passes through The total thickness, k is the correction factor;

According to the relationship between ray intensity I and gray percentage M:

I=I ₀ (1-M) (2)

The formula (2) is substituted into the formula (1) to obtain

The total thickness of the device passed by the X-ray can be obtained.

(6) Divide red, orange, yellow, green, blue, blue, and purple into 100 colors according to the arrangement, and form a one-to-one correspondence between the color and the gray scale percentage, and the corresponding color according to the steps ( The image divided in 4) generates a color system distribution map, calculates the thickness corresponding to each color in the image, and annotates the corresponding component thickness in the image.

The specific working process of this application is as follows: After the computer receives the image obtained by the X-ray digital imaging board, it judges whether the image quality meets the requirements; preprocesses the image, filters the image noise, and performs grayscale processing on the image at the same time; calculates the grayscale of the pixel degree, the grayscale G of the pixel in the grayscale image is expressed as a percentage, 0% means white, and 100% means black; segment the image, draw the outline of the area with the same grayscale, divide the grayscale area, and obtain the grayscale of each area The ratio of the value G to the maximum gray value G _max , to obtain the gray percentage M; obtain the total thickness of the equipment that the X-ray passes through; set the reference plane in the image; calculate the reference plane correction coefficient k; according to the components in the image Space distribution divides the layers; calculates the distance R between each layer and the reference plane; calculates the ray intensity I ₀ distributed in each layer; calculates the thickness of each layer part; assigns colors and displays them.

Embodiment four

Referring to Fig. 1, the present application provides a method for analyzing the thickness of each component of power equipment based on X-ray images, and the analysis method includes the following steps:

(1) Receive the image obtained by the X-ray digital imaging panel, and judge whether the image quality meets the requirements;

(2) Carry out noise filtering and grayscale processing to the image;

(3) The grayscale G of the pixel in the grayscale image is represented by percentage, 0% represents white, and 100% represents black;

(4) Segment the image, describe the contours of the regions with the same grayscale, divide the grayscale regions, obtain the ratio of the grayscale value G of each region to the maximum grayscale value _Gmax , and obtain the grayscale percentage M;

(5) According to the attenuation law formula of X-ray intensity when passing through the object:

In the formula, I ₀ and I are the X-ray intensity before and after the X-ray passes through the object, μ _m is the mass absorption coefficient of the material that the ray passes through, ρ is the density of the material that the ray passes through, and d is the density of the equipment that the ray passes through The total thickness, k is the correction factor;

According to the relationship between ray intensity I and gray percentage M:

I=I ₀ (1-M) (2)

The formula (2) is substituted into the formula (1) to obtain

The total thickness of the device passed by the X-ray can be obtained.

(6) Divide red, orange, yellow, green, blue, blue, and purple into 100 colors according to the arrangement, and form a one-to-one correspondence between the color and the gray scale percentage, and the corresponding color according to the steps ( The image divided in 4) generates a color system distribution map, calculates the thickness corresponding to each color in the image, and annotates the corresponding component thickness in the image.

Optionally, the correction coefficient k can be obtained by inversely solving the correction coefficient k by substituting the total thickness d of the corresponding device in the image into formula (3).

Optionally, the X-ray intensity will change with the transmission distance, and when the positions of the components in the image are not on the same plane, it can be obtained according to the X-ray propagation law formula;

In the formula, R ₁ and R ₀ are the distances from the current irradiation point to the X-ray emission point, and I ₁ and I ₀ are the X-ray intensities at the corresponding irradiation points.

The specific working process of this application is as follows: After the computer receives the image obtained by the X-ray digital imaging board, it judges whether the image quality meets the requirements; preprocesses the image, filters the image noise, and performs grayscale processing on the image at the same time; calculates the grayscale of the pixel degree, the grayscale G of the pixel in the grayscale image is expressed as a percentage, 0% means white, and 100% means black; segment the image, draw the outline of the area with the same grayscale, divide the grayscale area, and obtain the grayscale of each area The ratio of the value G to the maximum gray value G _max , the gray percentage M is obtained; the total thickness of the equipment passed by the X-ray is obtained; the red, orange, yellow, green, blue, blue, purple, seven color systems according to The arrangement is divided into 100 colors, and the color and the gray percentage are in a one-to-one correspondence, and the corresponding color is generated according to the divided image to generate a color distribution map, and the thickness corresponding to each color in the image is calculated and annotated in the image The corresponding part thickness.

The above descriptions are only specific implementation manners of the embodiments of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention will not be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

It should be understood that the present application is not limited to what has been described above and shown in the accompanying drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (7)

1. a kind of each component thickness analysis method of power equipment based on X ray image, it is characterised in that the analysis method bag Include following steps：

(1) image that X-ray digital imagery plate is obtained is received, judges whether picture quality meets requirement；

(2) image is pre-processed；

(3) pixel gray level is calculated；

(4) segmentation figure picture；

(5) gross thickness that X-ray passes through equipment is calculated；

(6) thickness and all parts thickness corresponding to the color of each in image are calculated.

2. analysis method as claimed in claim 1, it is characterised in that the analysis method comprises the following steps：

(1) image that X-ray digital imagery plate is obtained is received, judges whether picture quality meets requirement；

(2) noise filtering is carried out to image and gray processing is handled；

(3) the gray scale G of pixel in gray level image is expressed as a percentage, 0% represents white, and 100% represents black；

(4) segmentation figure picture, depicts the profile in gray scale identical region, the gray areas such as divides, obtain each area grayscale value G with Maximum gradation value G_maxRatio, obtain gray percentage M；

(5) according to attenuation law of X-ray intensity when through object, transmitted intensity and gray percentage M relation, X is tried to achieve Ray passes through the gross thickness of equipment；

(6) by red, orange, yellow, green, blue, blue, purple, seven kinds of colour systems are divided into 100 kinds of colors according to arrangement, by color and gray scale percentage Than generating colour system distribution map according to ready-portioned image in step (4) into one-to-one relation, and by corresponding color, calculate Go out the thickness corresponding to the color of each in image and annotate out corresponding component thickness in the picture.

3. analysis method as claimed in claim 2, it is characterised in that attenuation law formula is in the step (5)：

$I=I_0{e}^{k{\mathrm{\μ}}_m\mathrm{\ρd}}---\left(1\right)$

I in formula₀It is respectively the X-ray intensity before and after X-ray passes through object, μ with I_mThe mass absorption system of material is passed through by ray Number, ρ is passed through the density of material by ray, and d is passed through the gross thickness of equipment by ray, and k is correction factor.

4. analysis method as claimed in claim 2, it is characterised in that transmitted intensity I and gray percentage in the step (5) M relation is：

I=I₀(1-M) (2)

The formula (2) substitutes into formula (1) and can obtained

$d=\frac{ln(1-M)}{{\mathrm{k\μ}}_m\mathrm{\ρ}}---\left(3\right)$

The gross thickness that X-ray passes through equipment can be tried to achieve.

5. analysis method as described in claim 3, it is characterised in that the correction factor k can be by measuring in image The gross thickness d of corresponding device substitutes into formula (3), counter to solve correction factor k.

6. analysis method as claimed in claim 3, it is characterised in that the X-ray intensity can become with transmission range Change, when the position of part in image is not in same plane, can be drawn according to the propagation law formula of X-ray.

7. analysis method as claimed in claim 6, it is characterised in that the propagation law formula of the X-ray is：

$\frac{I_0}{I_1}=\frac{{R_1}^2}{{R_0}^2}---\left(4\right)$

In formula, R₁And R₀For irradiation current point to the distance of X-ray emission point, I₁And I₀For the X-ray intensity at correspondence point of irradiation.