KR20160034726A

KR20160034726A - Apparatus and method for diagnosing suspension insulator

Info

Publication number: KR20160034726A
Application number: KR1020140126077A
Authority: KR
Inventors: 김대한; 최선규; 정종만; 김동명; 이병성
Original assignee: 한국전력공사
Priority date: 2014-09-22
Filing date: 2014-09-22
Publication date: 2016-03-30

Abstract

The present invention relates to an apparatus and a method for diagnosing the state of a suspension insulator on the basis of images. The diagnosing apparatus for a suspension insulator photographs a suspension insulator located on an electric pole, diagnoses the state of the suspension insulator on the basis of the photographed images, and comprises: an image photographing unit producing an image; and an analytic unit which detects an insulator area of the suspension insulator in the image, extracts a state pattern on the basis of the outer line and features of the suspension insulator, calculates the variability of the state on the basis of the extracted state pattern, and classifies the state of the suspension insulator into predetermined classes on the basis of the state variability.

Description

[0001] APPARATUS AND METHOD FOR DIAGNOSING SUSPENSION INSULATOR [0002]

The present invention relates to an apparatus and method for diagnosing suspensions, and more particularly, to an apparatus and a method for diagnosing a state of a suspender insulator based on a video image.

Degradation such as erosion is beginning to appear in the initial product due to the long usage time after the first installation of the discharge suspending insulator. Suspended insulators for on-site installation insulators, for example, polymer suspension insulators account for about 40% of the total, and the ratio is gradually increasing due to the advantages of low cost and light weight.

Currently, a temporary power outage due to polymer suspensions is very small, from one to two cases per year. The quantity of the polymer suspension insulator in which an abnormal signal is detected is gradually increasing with time. In addition, it is expected that electric power equipment will generally have an increase in power failure breakdown since the deterioration progresses after a certain period (usually 20 years).

Therefore, the diagnosis of suspected insulators is very important, but in the past, the inspectors have relied heavily on inspecting the inspectors. In order to achieve this, we used a line-by-line check technique to check the condition of the equipment by the supervisor directly in front of the power line to shut down the distribution line to improve the accuracy. However, this method has a disadvantage in that electricity can not be supplied because the method is performed in a resting state.

Accordingly, a live-wire-by-wire inspection method has been introduced, in which a diagnostic person measures the sharing voltage of a suspender insulator in a live state. However, there is a disadvantage that the check of the live call is costly and the check time is long.

In addition, when the equipment is deteriorated, a method of inserting a radiator equipped with a radiator is introduced. After that, a diagnostic method that can check many facilities on the ground in a short time has been sought, and various methods of diagnosis of suspensions have been developed such as portable thermal imaging equipment, optical telescope, optical camera, and ultrasonic equipment.

However, there is a problem that the above-described methods can not apply the diagnostic method by the existing ultrasonic diagnostic device due to the fact that there is no crack in the polymer suspending insulator and the deterioration characteristic is different from that of the magnetic agent.

In this connection, Korean Patent Registration No. 0892679, entitled " Insulation Detector for Distribution Line Having Photographing Means, "

An object of the present invention is to provide an apparatus and a method for diagnosing a hanging insulator which can automatically determine whether a polymer hanging insulator is normal or defective.

In order to solve the above-described problems, the present invention provides a suspensions inspecting apparatus for inspecting a suspending insulator located on a pole and diagnosing a state of a suspender insulator based on a sensed image, the suspending insulator diagnosing apparatus comprising: A state pattern is extracted based on an outline and a feature point of the suspending insulator, a state change degree is calculated based on the extracted state pattern, and based on the state change degree, And an analyzing unit for classifying the states of the plurality of users into predetermined grades.

In addition, the state change degree may include at least one of an appearance change degree, a surface change degree, and a color change degree with respect to the hanging insulator.

In addition, the suspending insulator diagnosing apparatus according to an embodiment of the present invention may further include a learning unit for learning a standard pattern based on a video image of a suspending insulator in a normal state.

In addition, the analyzing unit can calculate at least one of outward shape change and surface change degree by comparing the state pattern and the standard pattern.

The analyzing unit may further include a color correction module for performing color correction on the image, and the degree of color change can be calculated by extracting the discoloration degree of the suspending insulator based on the color-corrected image.

In addition, the analysis unit analyzes cracks, tears, cracks, and rod exposures of the suspender insulator based on the external shape change, analyzes whether or not the suspender insulator is alligator based on the surface change degree, It is possible to analyze whether or not the soil is contaminated.

Also, at least one of the image capturing unit and the analyzing unit may be installed in the moving body.

Further, the image capturing section can automatically track and photograph the suspender insulator through pattern recognition.

The image capturing unit may further include a position tracking module for tracking position information on the image capturing unit, and the analyzing unit may calculate a position of the image capturing unit based on the information about the plurality of electric poles stored in the storage unit, Diagnosis can be made separately.

According to an aspect of the present invention, there is provided a method for diagnosing a suspected insulator based on a photographed image, comprising the steps of: ; Detecting, by the analysis unit, an insulator area of the suspending insulator in a video image; Extracting a state pattern based on the outline and the minutiae points of the suspending insulator by the analysis unit; Calculating a state change degree based on the extracted state pattern by the analysis unit; And dividing the state of the suspending insulator into predetermined grades based on the degree of state change by the analyzing unit.

The method may further include the step of learning a standard pattern based on a video image of a suspender in a steady state by the learning unit, Lt; / RTI >

In addition, the step of calculating the state change degree may include calculating at least one of the outward appearance degree and the surface degree of change by comparing the state pattern and the standard pattern.

According to another aspect of the present invention, there is provided a method of diagnosing suspensions, the method further comprising performing a color correction on the image by a color correction module, And calculating the degree of color change by extracting the degree of discoloration of the suspending insulator based on the image.

The step of classifying the state of the suspending insulator into predetermined grades includes the steps of: analyzing the cracks, tearing, cracks, and load exposure of the suspending insulator based on the external shape change; Analyzing the presence or absence of alligator of the suspending insulator based on the degree of surface change; And analyzing whether or not the suspending insulator is damaged and white based on the color change degree.

In addition, the step of generating a video image may be performed by automatically tracking and photographing the suspending insulator through pattern recognition.

According to the suspension inspecting apparatus and method according to the present invention, since the suspending insulator with which the durability period arrives is objectively performed based on the degree of state change not merely by the naked eye of the worker and by the worker's subjective, The diagnosis reliability with respect to the insulator is higher, and the diagnosis is prevented.

In addition, according to the present invention, since the suspending insulator is automatically detected and diagnosed during the movement of the moving body through the image capturing unit mounted on the moving body, It is effective.

In addition, according to the present invention, since the diagnosis is made based on the image capturing unit installed in the mobile body, rather than the method of manually confirming the status of the suspender, it is possible to secure the safety of the operator, Can be prevented.

1 is a conceptual diagram of a suspending insulator diagnosis apparatus according to an embodiment of the present invention.
FIG. 2 and FIG. 3 are block diagrams of a suspender insulator diagnostic apparatus according to an embodiment of the present invention.
FIGS. 4 to 13 are diagrams illustrating the types of failure of the suspending insulator that can be detected by the suspending insulator diagnosing apparatus according to the embodiment of the present invention.
FIG. 14 is a flowchart of a suspending insulator diagnosis method according to an embodiment of the present invention.
15 is a flowchart of a step of photographing a video image according to an embodiment of the present invention.

The present invention will now be described in detail with reference to the accompanying drawings. Hereinafter, a repeated description, a known function that may obscure the gist of the present invention, and a detailed description of the configuration will be omitted. Embodiments of the present invention are provided to more fully describe the present invention to those skilled in the art. Accordingly, the shapes and sizes of the elements in the drawings and the like can be exaggerated for clarity.

Hereinafter, an apparatus and method for diagnosing suspensions in accordance with an embodiment of the present invention will be described.

1 is a conceptual diagram of a suspensory insulator diagnostic apparatus 100 according to an embodiment of the present invention. The failure case of the suspending insulator 11 is apparent as shown in Figs. 4 to 13 below, but it is difficult to visually check the ground. Accordingly, the suspension inspecting apparatus 100 according to an embodiment of the present invention diagnoses the state of the suspending insulator 11 by using a video image photographed through the image capturing unit 110. 6 shows the tracking state of the suspending insulator, Fig. 7 shows the bullet damage of the suspending insulator, Fig. 8 shows the contamination state of the suspending insulator, and Fig. 11 shows the tearing state of the suspending insulator, Fig. 12 shows the whitening state of the suspending insulator, and Fig. 13 shows the state of the alligator ring of the suspending insulator .

In addition, the suspension inspecting apparatus 100 according to an exemplary embodiment of the present invention can detect a correlation with a characteristic according to a deterioration pattern of a polymer suspension insulator, that is, an abnormality signal, appearance change, damage degree, color change, It is possible to construct the polymer insulator deterioration characteristic as a database. In addition, the suspending insulator diagnosing apparatus 100 according to an embodiment of the present invention can eliminate the subjective state determination of the polymer suspender inspecting facility utilizing the ICT technology such as image recognition and image processing techniques, And provides a systematic criterion for the system. For this purpose, the suspensions inspecting apparatus 100 according to an embodiment of the present invention may include an image capturing unit 110, an analyzing unit 120, and a learning unit 130. Hereinafter, the suspension inspecting apparatus 100 according to an embodiment of the present invention will be described.

The image capturing unit 110 functions to capture an image of a hanging insulator, for example, a polymer hanging insulator, and to generate a video image. Here, the image capturing unit 110 may be installed in the mobile unit 30 as shown in FIG. That is, the image capturing unit 110 automatically tracks the polymer suspender 11 as a diagnostic object installed on the pole 10 during the movement of the mobile object 30, and can photograph the image with high magnification and perform digital image processing have. Here, the moving object 30 may include all objects that can be moved in a state where the image capturing unit 110 of the present invention is installed, such as a vehicle or an unmanned aerial vehicle.

In addition, the image capturing unit 110 may further include a location tracking module such as a GPS. That is, the suspending insulator diagnosing apparatus 100 according to an embodiment of the present invention photographs a plurality of suspending insulators using the image capturing unit 110 mounted on the mobile body 30, and diagnoses the state of the suspending insulators 100 . Here, when the number of suspending insulators is small, there is no big problem, but the more the number of insulators, the more difficult it is to manage. Accordingly, the suspending insulator diagnosing apparatus 100 according to an embodiment of the present invention interlocks with an external system, and uses the GPS information to distinguish not only the information of the suspending insulators included in the diagnosis target, Diagnosis and storage can be performed.

In addition, the image capturing unit 110 may include an illuminator for correcting shadow and backlight, a laser distance meter, a position tracking module, a vibration preventing device, and a pan / tilt unit for moving the camera vertically and horizontally.

The analysis unit 120 diagnoses the state of the suspender 11 based on the image image generated through the image capturing unit 110. Specifically, the analyzer 120 can detect an insulator area of a suspender insulator in a video image, and extract a state pattern based on contours and feature points of the insulator insulator in the insulator area. That is, the analysis unit 120 removes the surrounding environment such as branches included in the image image, and separates only the pure image of the suspected insulator. After that, outlines and feature points for the suspender can be extracted. Here, the analyzer 120 may further perform image correction to improve the accuracy of diagnosis of the state of the suspender 11. Thereafter, the analyzer 120 can calculate the state change degree with respect to the suspending insulator 11 by comparing the extracted state pattern with the standard pattern. Here, the standard pattern is a pattern obtained through the learning unit 130 mentioned below, and refers to a pattern calculated based on a video image of a still state suspending insulator. That is, the standard pattern may be generated through the learning unit 130 and then stored in the diagnostic database module mentioned below. Accordingly, the analysis unit 120 can perform the state diagnosis for the suspender 11 by comparing the image of the suspected insulator in the steady state with the image captured through the image capturing unit 110.

In the above description, the term state change degree is defined as including at least one of external appearance change, surface change degree and color change degree with respect to the suspending insulator. Here, the external shape change degree represents the degree of change of the contour of the suspending insulator relative to the steady state, the surface change degree represents the degree of change of the surface of the suspending insulator relative to the steady state, That is, it indicates the degree of change of color. That is, the analyzer 120 may calculate at least one of the outline variation and the surface variation described above by comparing the state pattern and the standard pattern. In addition, the analyzer 120 may calculate the degree of color change by extracting the degree of discoloration by comparing the color-corrected image and the standard pattern.

The reason for performing the state diagnosis on the basis of at least one of the state change, that is, the external change degree, the surface change degree and the color change degree is as follows. As shown in FIGS. 4 to 13, , These types of defects can be largely classified into appearance condition, surface condition and color condition defect. That is, the analyzer 120 analyzes cracks, tears, cracks, and rod exposure of the suspending insulator based on the external shape change, and analyzes whether the suspender insulator is alligated based on the surface change degree. Based on the diagram, it can be analyzed whether there is contamination or whitening.

In addition, the analyzer 120 may calculate the state change degree, and may perform the diagnosis on the suspending insulator based on the calculated state change degree. Here, a method of calculating the state change degree is as follows. As described above, since the degree of state change can be largely classified into the external shape change degree, the surface change degree, and the color change, the calculation method for the external shape change degree, surface change degree, and color change degree will be described below.

First, in order to derive the appearance change degree, the analysis unit 120 compares the normal pattern when the suspending insulator stored in the diagnostic database 126 is in a normal state with the state pattern extracted through the analysis unit 120 do. As a result of the comparison, if it is determined that the appearance of the suspender insulator has changed, the analyzer 120 compares the pattern of the faulty cases of the suspending insulators stored in the diagnostic database 126 with the state pattern, Crack, tear, crack, load exposure, etc.). As mentioned below, it is important to determine what kind of problem the suspension insulator has, since the types of suspension insulators vary. This checking process can be performed, for example, by checking the outline pattern through an outline extraction algorithm and comparing the outline pattern with a pattern system for failure cases stored in the diagnosis database 126. [

That is, the analyzer 120 may detect the outline and detect the change in the light and darkness of the suspender inspected through the image capturing unit 110 while scanning the shade and sheath. Here, if the change in brightness occurs in the sheath, it can be classified into the load exposure and the change in the contrast in the shade, such as cracking, cracking, and tearing.

Also, when scanning a suspender with a state pattern, if a round or elliptical light or darkness is detected, it can be classified as a gunshot. This shape change can be used to derive the kind of defect depending on whether there is any trace on the sheath and the shed, whether the trace is alone, and on what conditions the trace is, It can be rated according to the criteria.

The degree of surface variation can be used to detect alligator ringing or tracking of the suspender. To this end, the analysis unit 120 compares a normal pattern when the suspending insulator stored in the diagnostic database 126 is in a normal state with a state pattern extracted through the analysis unit 120. As a result of the comparison, if it is determined that a change has occurred in the surface of the suspender (for example, when the surface is roughened, such as sand or crocodile skin on the surface of the suspender), cracks are searched and the diameter , The presence or absence of the alligator ring can be determined. In addition, when tracking occurs on the surface of the suspender, when tracking marks of red series occur, the tracking can calculate the grade based on the length.

The degree of color change can be calculated by calculating the discolored surface area versus the total surface area for the suspended insulator. Here, if white discoloration of the surface is found on the surface, it can be judged as whitening, and if discoloration of the black color is found, it can be judged as contamination.

As described above, the analyzer 120 can classify and determine the suspending insulator based on the degree of state change. In other words, the correlation between the external shape change of the suspending insulator and the electrical characteristic change can be derived through electrical tests such as leakage current and flash test, and the criteria for the determination can be derived. same.

Rating condition measure A Good condition like new No action required B Low damage, wear and corrosion caution C Damage, wear and corrosion progressed Consider replacement D High degree of damage, wear and corrosion substitute

The above-described state determination criteria will be described in more detail as follows. The image for the polymer suspension can be graded according to the following criteria.

1. Load exposure

- Class C: Silicone gel is present in the sheath,

There are hole marks on the sheath, but no load

- Class D: Exposure of the load due to the missing part of the polymer rubber between the connecting bracket and the sheath.

The cis is torn, cracked, or damaged,

There are hole marks on the sheath and the load exposure

2. Tracking

- Class C: Tracking marks less than 2.5 cm along the shed or sheath surface are observed.

- Class D: Tracking marks greater than 2.5 cm along the shed or sheath surface are observed.

3. Gun wound

- Class B: There is a gunshot only in the shed

- Class C: If the bullet is struck in the shed, there is a gunshot in the sheath, but the load does not come out.

- Class D: If the bullet is struck in the shed, there is a gunshot on the sheath, and the load is exposed.

4. Pollution

- Class A: The contaminated surface area is less than 10% of the total surface area.

- Class B: 10% or more of the total surface area of the surface area is 30% or less

- Class C: 30% or more of the total surface area is 70% or less

- Class D: Fouled surface area exceeds 70% of total surface area

5. Crack

- Class A: Rubber cracks in the shed below 0.1 mm depth

- Class B: rubber cracks in the shade exceeding 0.1 mm in depth

- Class C: Rubber cracks in sheath and sheath exceeding 0.1 mm in depth

- Class D: Moisture penetration by rubber cracks of sheath and sheath exceeding 0.1mm depth

6. Shade cracking and penetration

- Class B: cracks observed

- Class C: Cracking proceeds in the sheath direction

7. Shade tear or damage

- Class B: Tear is observed.

- Class C: Tearing proceeds in the sheath direction

8. White

- Class A: White powder is observed on the surface of the shed or sheath.

9. Animal (bird or rodent) bites

- Class A: minor damage to the shade

- Class B: Damage to the shed only

- Class C: Damage to the cistern but no load

- D Rating: Load Impressions

10. Alligator ring

- Class A: The skin is rough (like cracks less than 0.1cm in size)

- Class B: rough skin like coarse sand (size 0,1cm to less than 0.5cm)

- Class C: rough skin like crocodile skin (cracks exceeding 0.5 cm in size)

As described above, the analyzer 120 may calculate a rating for the image inspectors based on the image image photographed through the image capturing unit 110. Although the image capturing unit 110 and the analyzing unit 120 are illustrated as being communicated through the network 40, the present invention is not limited thereto.

FIG. 2 and FIG. 3 are block diagrams of a suspending insulator diagnosis apparatus 100 according to an embodiment of the present invention. 2 is a block diagram of the image capturing unit 110 and FIG. 3 is a block diagram of the analyzing unit 120 and the learning unit 130. As shown in FIG. 1, the suspension inspecting apparatus 100 according to an embodiment of the present invention performs a state diagnosis on a suspender insulator based on a video image photographed through the image capturing unit 110 . For this purpose, the suspensions inspecting apparatus 100 according to an embodiment of the present invention may include an image capturing unit 110, an analyzing unit 120, and a learning unit 130. Hereinafter, each configuration included in the suspension inspecting apparatus 100 of the present invention will be described. In the following description, elements overlapping with those mentioned with reference to FIG. 1 will be omitted for clarity of description.

The image capturing unit 110 captures a hanging insulator provided on the pole, generates a video image, and transmits the image to the analyzing unit 120. 1, the image capturing unit 110 may be installed in a moving body. That is, the image capturing unit 110 recognizes the pattern of the suspending insulators installed in the forehead during the movement of the moving object, and automatically tracks and records the pattern at a high magnification. To this end, the image capturing unit 110 includes an image capturing control module 111, a position tracking module 112, an insulator tracking module 113, a photographing module 114, a linking module 115, a photographing database 116, And a module 117, as shown in FIG. Hereinafter, the configurations included in the image capturing unit 110 will be described.

The location tracking module 112 functions to track the location of the moving object on which the image capturing unit 110 is installed. That is, the position tracking module 112 functions to generate position information that can be used to determine which of the pre-cursor positions the image captured through the image capturing unit 110 is. The image capturing unit 110 of the present invention may include positional information of the photographed position and the electrophoresis information obtained in association with the external system 50 through the linking module 115, Can be generated. Accordingly, the analysis unit 120 receiving such a video image receives not only the corresponding image but also information about the electric image of the image, so that the management of the subsequent worker can be facilitated.

The insulator tracking module 113 tracks the suspender insulator through pattern recognition in the external environment recognized through the photographing module 114. [ Here, when the suspending insulator is detected, the corresponding video image may be stored in the shooting database 116 via the shooting module 114. [ The image data thus stored may be transmitted to the analysis unit 120 through the communication module 117. Also, in another embodiment of the present invention, when the analysis unit 120 is connected to the inside of the mobile body, that is, the image capturing unit 110 and the analysis unit 120 are connected by wire, Things are also possible.

Hereinafter, the analysis unit 120 included in the suspending insulator diagnosis apparatus 100 according to an embodiment of the present invention will be described with reference to FIG. As described above, the analysis unit 120 performs a state diagnosis of the suspender insulator based on the image captured through the image capturing unit 110. The analysis unit 120 may include an area detection module 121, an extraction module 122, an image correction module 123, a calculation module 124, and a diagnostic module 125. Hereinafter, the configurations included in the analysis unit 120 will be described.

The region detection module 121 detects only the suspending insulator region in the image captured through the image capturing unit 110. That is, the image detecting module 121 removes backgrounds or obstacles (e.g., branches) from the image and detects only the suspending insulator area.

The extraction module 122 functions to separate and extract only the suspender, which is a facility diagnosis target in the suspending insulator area. In addition, the extraction module 122 may perform the function of adjusting the size and slope of the extracted hanging insulator portion, or removing the noise components mixed in the image, in order to more accurately perform the diagnosis process described below .

The image correction module 123 performs color correction for the extracted area. Here, the reason that the color correction is performed is for accurate detection of the color change degree as described below.

The calculation module 124 extracts the state pattern based on the outline and the special point of the hanging insulator in the corrected insulator area and compares the state pattern with the standard pattern generated through the learning part 130 Function.

Here, the standard pattern is a pattern generated through the learning unit 130, and sets the feature space set on the axis and the feature points on the feature space as crowded And are generated based on patterns belonging to the cluster. That is, the standard pattern represents a pattern generated based on the normal-state suspenders. This standard pattern is stored in the diagnostic database 126 after generation through the learning unit 130, and can be used at each diagnosis of the suspending insulator.

That is, the calculation module 124 may calculate the degree of state change by comparing the standard pattern with the state pattern of the suspending inspectors photographed through the image capturing unit 110. Here, the state change degree may be configured to include at least one of outward form change degree, surface change degree, and hue change. As discussed above, the contour change can be used to analyze cracks, tears, cracks, and rod exposure of the suspender. Also, by extracting the contour included in the state pattern, the degree of the contour generated on the surface of the suspending insulator can be extracted and the degree of surface variation can be calculated. Here, the degree of surface variation can be analyzed as to whether or not the suspender insulator is alligatored. Finally, the degree of color change can be analyzed as to whether or not the suspenders are damaged or whitened.

The diagnosis module 125 diagnoses the state of the suspender insulator based on the state change degree calculated through the calculation module 124. [ Further, the diagnosis module 125 can diagnose the state of the suspending insulator by dividing the state of the suspending insulator into a plurality of grades based on the state change degree. Since an example of this class has been described in detail with reference to FIG. 1, a further explanation thereof will be omitted.

FIG. 14 is a flowchart of a suspending insulator diagnosis method according to an embodiment of the present invention. Hereinafter, with reference to FIG. 14, a description will be given of a method for diagnosing suspensions in accordance with an embodiment of the present invention. In the following description, the same elements as those described above are omitted for the sake of clarity.

First, a step S110 of generating a video image by the video capturing unit is performed. As described above, the image capturing unit can be installed on a moving object, and can capture an external image in a state where the moving object is installed on the moving object. In operation S110, the suspending insulator is automatically tracked and detected through pattern recognition, and a video image of the detected suspending insulator is stored in a shooting database.

Thereafter, the step of detecting the insulator area by the analyzing unit (S120) is performed. Specifically, step S120 is a step of removing backgrounds and obstacles (e.g., branches) from the image and extracting only the inset area. In addition, the step S120 may adjust the size and slope of the extracted hanging insulator part, or further remove the noise components mixed in the image, in order to increase the accuracy of the diagnosis process described below.

Thereafter, a step of correcting the image by the analyzing unit (S130) is performed. Specifically, step S130 is a step of performing color correction on the extracted insulator area. The reason for performing the color correction through step S130 is that the insulator condition diagnosis method according to the embodiment of the present invention can further diagnose the insulator condition based on the color change degree of the insulator as described above.

Thereafter, the analysis unit extracts outlines and feature points in the color-compensated insulator region (S140). In addition, in step S140, the state pattern may be further extracted based on the extracted outline and the feature point.

Thereafter, the analysis unit compares the state pattern extracted in step S140 with the standard pattern stored in the diagnostic database (S150) to calculate the state change degree. The state change diagram referred to in step S150 may include at least one of an outline change degree, a surface change degree, and a color change degree. As discussed above, the contour change can be used to analyze cracks, tears, cracks, and rod exposure of the suspender. In addition, the degree of surface change can be analyzed to determine whether or not the alligator of the suspending insulator is ringing. Finally, the degree of color change can be analyzed as to whether or not the suspenders are damaged or whitened. Accordingly, the suspending insulator diagnosis method of the present invention can classify the fault type of the suspending insulator and diagnose the fault type.

Thereafter, the analysis unit performs a step S160 of diagnosing the state of the suspender insulator based on the state change degree calculated in step S150. In step S160, the state of the suspender insulator can be diagnosed by dividing the state into a plurality of classes. That is, in step S160, based on the state change degree, the suspending insulator can be classified into the normal grade, the attention grade, the replacement consideration grade, and the replacement grade. Also, it is possible to distinguish the types of failures of the suspending insulators shown in FIGS. 4 to 13 and diagnose them.

15 is a flowchart of a step S110 of photographing a video image according to an embodiment of the present invention. Hereinafter, with reference to FIG. 15, a step S110 of photographing another image according to an embodiment of the present invention will be described.

First, a step S111 of tracking the position of the moving object provided with the image pickup unit is performed. As described above, the image capturing section is mounted on a moving object, and automatically detects a suspending object during moving of the moving object and captures the image. In this case, when there are a plurality of images other than a single image, in order to easily distinguish which image the image is for the suspender, the image capturing unit, when storing the image, It is possible to distinguish and store the image image for the insulator. To this end, a process of tracking location information of the moving object is performed in step S111.

Thereafter, a step S1212 of automatically tracking the suspending insulator in the image capturing unit mounted on the moving object is performed. That is, the suspending insulator diagnosing method according to an embodiment of the present invention is characterized in that the suspending insulator is automatically detected during the movement of the moving body, and the sensing and recording of the suspending insulator is carried out. Accordingly, the image capturing unit continuously performs pattern recognition during movement, and when the suspending insulator is detected through pattern recognition, the image capturing unit captures a video image through step S113.

Thereafter, in association with the external system, step S114 is performed in which the suspending inspectors photographed in the step S113 determine which electric pole is the suspending insulator. Thereafter, the step S115 of transmitting the electrowinning information and the image image confirmed in the step S114 to the analyzing unit is performed.

As described above, an optimal embodiment has been disclosed in the drawings and specification. Although specific terms have been employed herein, they are used for purposes of illustration only and are not intended to limit the scope of the invention as defined in the claims or the claims. Therefore, those skilled in the art will appreciate that various modifications and equivalent embodiments are possible without departing from the scope of the present invention. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: Suspension insulator diagnosis device 110:
120: analysis unit 130: learning unit

Claims

A suspensory inspecting apparatus for photographing a suspender placed on a pole and diagnosing a state of a suspender based on the photographed image,
An image capturing unit for generating a video image; And
Extracting a state pattern based on an outline and a minutiae of the suspending insulator, calculating a state change degree based on the extracted state pattern, And an analyzing section for dividing the state of the suspending insulator into predetermined grades based on the position of the suspending insulator.

The method according to claim 1,
Wherein the state change degree includes at least one of an external appearance change degree, a surface change degree and a color change degree with respect to the suspending insulator.

3. The method of claim 2,
Further comprising a learning section for learning a standard pattern based on a video image of a suspending insulator in a steady state.

The method of claim 3,
Wherein the analyzer compares at least one of the external shape change and the surface change degree by comparing the state pattern and the standard pattern.

5. The method of claim 4,
Wherein the analysis unit further includes a color correction module that performs color correction on the image, and calculates a degree of color change by extracting a degree of discoloration of the suspending insulator based on the color-corrected image. Suspension insulator diagnostic device.

3. The method of claim 2,
The analyzing unit,
The method according to any one of claims 1 to 3, further comprising analyzing whether or not cracks, tearing, cracks, and rod exposure of the suspending insulator are present based on the external shape change, analyzing whether the suspender insulator is alligated based on the surface change degree, Wherein the analyzing means analyzes the presence or absence of contamination and whitening.

The method according to claim 1,
Wherein at least one of the image capturing unit and the analyzing unit is installed in a moving body.

The method according to claim 1,
Wherein the image photographing unit automatically traces and photographs the hanging insulator through pattern recognition.

The method according to claim 1,
The image capturing unit may further include a position tracking module for tracking position information on the image capturing unit, and the analyzing unit may calculate a position of the image capturing unit based on the information about the plurality of electric poles stored in the storage unit, And diagnosing each of the plurality of sensors by distinguishing them.

A suspensory inspecting method for photographing a suspender placed on a pole and diagnosing a state of a suspending insulator based on the photographed image,
Generating a video image by an image capturing unit;
Detecting, by the analysis unit, an insulator area of the suspending insulator in the video image;
Extracting a state pattern based on an outline and minutiae points of the suspending insulator by the analyzing unit;
Calculating a state change degree based on the extracted state pattern by the analysis unit; And
And dividing the state of the suspending insulator into predetermined grades based on the state change degree by the analysis unit.

11. The method of claim 10,
Wherein the state change degree includes at least one of an external appearance change degree, a surface change degree and a color change degree with respect to the suspending insulator.

12. The method of claim 11,
Further comprising: learning a standard pattern on the basis of a video image of a still state suspending insulator by a learning unit, wherein the standard pattern is stored in a diagnostic database module.

13. The method of claim 12,
Wherein the step of calculating the state change degree comprises:
And calculating at least one of the external shape change and the surface change degree by comparing the state pattern with the standard pattern.

14. The method of claim 13,
Further comprising performing, by a color correction module, color correction on the image image,
Wherein the step of calculating the state change degree comprises:
And calculating a degree of color change by extracting a degree of discoloration of the suspending insulator based on the color-corrected image.

12. The method of claim 11,
The step of classifying the states of the suspending insulators into predetermined grades includes:
Analyzing the cracking, tearing, cracking, and exposure of the load of the suspending insulator based on the external shape change;
Analyzing the presence or absence of alligator of the suspending insulator based on the degree of surface change; And
And analyzing whether or not the suspending insulator is damaged or whitened based on the color change degree.

11. The method of claim 10,
The step of generating the video image
And automatically tracking and photographing the suspending insulator through pattern recognition.