KR20240022833A - Optical Image an automatic photographing system of distribution lines using vehicles and operating method for the same - Google Patents

Abstract

The present invention relates to an optical diagnosis method for special high-voltage wires and pole equipment of 22.9 kV or less. In particular, a camera for optical diagnosis is mounted on a vehicle and then the vehicle is driven along the road. An automatic optical image shooting system for distribution lines using a vehicle that optically acquires the status of high-voltage wires and pole unit equipment (switches, LA, transformers) and performs diagnosis and necessity of maintenance based on this, as well as operating methods accordingly. to provide. Because it moves by vehicle, it can quickly and quickly cover a wide range of diagnostic areas, and even without a super-resolution camera, super-resolution images can be acquired and used as the basis for visual diagnosis.
In addition, the optical camera mounted on the vehicle recognizes images of electric poles, etc. according to the vehicle's driving speed, measures the distance to electric wires, electric poles, etc., and then automatically fine-adjusts the focus of the lens in real time after learning deep learning based on the data. It is a technique that does. In addition, since many photos are taken and overlapped to increase resolution, there is no need for the trouble of focusing or shaking correction that was required to obtain a single super-resolution image, and there is no need for position adjustment to acquire diagnostic images by tracking the shooting target, so the vehicle It has the effect of convenience as drivers only have to drive according to the designated diagnosis course.

Description

{Optical Image an automatic photographing system of distribution lines using vehicles and operating method for the same}

The present invention relates to an optical diagnosis method for extra-high voltage distribution lines of 22.9 kV or less. In particular, after installing a camera for optical diagnosis on a vehicle, the extra-high voltage wires and electric poles are inspected through the mounted optical camera while the vehicle is driving along the road. An optical diagnosis system and operating method for special high-voltage distribution lines below 22.9 kV using a vehicle to acquire the status of installed equipment (lightning arresters, insulators, switches, etc.) through images and determine defects through facility photos based on this. It's about.

In general, electricity produced at a power plant is boosted to a special high voltage of hundreds of thousands of volts, such as 345 kV or 765 kV, at a nearby primary substation and transmitted using transmission facilities, and is transmitted using a special voltage of 22.9 kV or less through a secondary substation near the demand area. Through high-voltage distribution lines, the pressure is further reduced back to commercial voltage (220V/380V) by a transformer at the demand location and supplied to the demand location. Various power facilities (wires, transformers, circuit breakers, lightning arresters) are required for each power supply process. , To ensure smooth power supply, thorough management is required through facility inspection, etc.

The technology proposed according to the need for this is the technology of Republic of Korea Patent Publication No. 10-2006-0125208 (title of invention: distribution line inspection robot), and the technology of Republic of Korea Registered Patent No. 10-0846743 (title of invention: distribution line inspection robot), which complements the published patent technology. This is a technology of a self-driving distribution line inspection robot grip device).

The above-mentioned prior art has the advantage that the distribution line inspection method using a robot does not pose any risks to workers. However, on the other hand, the purchase price is high and the risk to workers is somewhat borne due to the need for live wire work by workers when installing on the lines. It is not being utilized due to persistent problems.

Unlike the prior technologies using robots mentioned above, a technology using drones, which has been in the spotlight recently, has been developed, which is the technology of Republic of Korea Patent No. 10-2310900 (title of the invention: Diagnosis device and method for power transmission facilities using unmanned aerial vehicles). .

In the case of the aerial diagnostic inspection method using the drone, unlike the prior technologies using the robot described above, there is an advantage that there is no risk to the worker, but the cost of installing and maintaining the facilities for operating the drone is high. , Due to poor operation of the drone or rapid changes in the atmospheric environment surrounding the drone, there is a risk of power outage in the 22.9 kV extra-high voltage distribution line in the event of a collision or fall, and there is a risk of safety accidents, and unlike transmission lines, complex distribution lines are used for diagnostic inspection using drones. It is difficult to do so.

Accordingly, in practice, as shown in Figure 1, in the field, defects such as cracks, corrosion, and erosion of equipment installed in the distribution facility are checked once a year for the purpose of contributing to high-quality power supply in order to prevent failure of extra-high voltage distribution lines. In order to do this, we use high-performance cameras to take close-up photos of equipment installed on poles more than 10 meters above the ground. We use and diagnose defective equipment using very expensive optical cameras equipped with high-performance zoom functions, high resolution, and image stabilization.

In addition, when photographing the condition of equipment using an optical camera, the diagnostician recognizes the type of defect for each equipment in advance and takes pictures while walking by referring to main extraction cases for each equipment.

This image acquisition diagnostic method is inefficient in diagnosing a wide range of power facilities due to the lack of speed of diagnosis due to the diagnostician walking and diagnosing every pole (1), and the extraction and identification of defective distribution equipment is only based on the diagnostician's skill and surrounding environment. There is a problem that it is determined and may appear differently depending on (weather, terrain).

In addition, there is a high possibility of secondary accidents such as safety accidents and fires due to wire disconnection due to the absence of diagnostic standards for electric wires (wires in the span) between electric poles with many faults. When diagnosing distribution facilities using an optical camera on the roadside, The reality is that the risk of safety accidents caused by vehicles is high, and there is no diagnostic method for heavy-span electric cables (wires between electric poles), which are areas with frequent breakdowns.

Republic of Korea Patent Publication No. 10-2006-0125208

The purpose of the present invention to solve the above-mentioned problems is related to an optical diagnosis method for distribution lines. In particular, after installing a camera for optical diagnosis on a vehicle, the camera is used while the vehicle is driving along the road. An automatic optical image shooting system for distribution lines using a vehicle that acquires the status of KV special high-voltage wires and equipment (switches, LA, transformers, etc.) installed on electric poles through images and performs diagnosis and the need for maintenance based on this. The goal is to provide operating methods that follow.

The characteristics of the optical diagnosis system for distribution lines using a vehicle according to the present invention to achieve the above-mentioned purpose are that, in the diagnosis system for extra high-voltage wires of 22.9 kV or less located on one side of the road and pole-level distribution equipment equipment, the vehicle Located at the rear of the roof, it can rotate in all directions forming a hemisphere, and performs zoom-in and zoom-out operations within a certain range depending on the vehicle's driving speed to facilitate focus tracking of the subject, and one or two cameras that acquire images of higher resolution or higher. a camera module;

a super-resolution conversion module that creates a new image with overall super-resolution by overlapping the images acquired through the camera module with the same pixels; and

Based on the image generated through the super-resolution conversion module, a random diagnostic expert photographs the status of equipment (switches, LA, transformers, etc.) installed on 22.9KV special high-voltage wires and electric poles, and based on this, determines the equipment requiring maintenance. The goal is to enable status determination.

As an additional feature of the automatic photographing system for optical images of distribution lines using a vehicle according to the present invention to achieve the above-mentioned purpose, the electric poles requiring maintenance according to the maintenance command generated through the diagnostic area display module are provided. a diagnosis history data module that sequentially stores data about facilities based on the time of diagnosis;

A diagnostic pattern is learned through data on electric poles and facilities requiring maintenance according to maintenance commands stored in the diagnostic history data module, and maintained according to the diagnostic pattern learned based on the image generated through the super-resolution conversion module. It further includes a deep learning AI module that generates data about electric poles and facilities in need of repair.

As an additional feature of the automatic photographing system for optical images of distribution lines using a vehicle according to the present invention to achieve the above-described object, the camera module located at the rear of the vehicle roof provides high-resolution images in one direction of the vehicle. A shooting module that acquires the image by dividing it into a high-speed continuous shooting mode or a low-speed continuous shooting mode; a photographic image storage module that stores images acquired through the photographic module; Based on the image acquired through the photographing module, the photographing module is rotated in all directions forming a hemisphere, and the photographing target is tracked to acquire related information on special high-voltage wires of 22.9 kV or less and electric pole unit equipment as images through the photographing module. A shooting target tracking module for: And it includes an image acquisition control module that tracks information related to special high-voltage wires of 22.9 kV or less and pole-level equipment through the photographing target tracking module and controls the process of acquiring images through the photographing module.

As another additional feature of the automatic photographing system for optical images of distribution lines using a vehicle according to the present invention to achieve the above-described purpose, the camera module includes the image acquisition control module and the photographing target tracking module and the An image acquisition control data module that stores operational data to control the imaging module to acquire images of special high-voltage wires of 22.9 kV or less, equipment and facilities at the pole level, and related information;

When the shooting target tracking module, which has received a detection signal about the vehicle's driving speed, generates a zoom-in or zoom-out request signal to acquire images for tracking the shooting target according to the vehicle's speed, the shooting module is controlled based on this to zoom in. Or, it further includes a zoom control module that allows zooming out.

The characteristics of the automatic photographing system for optical images of distribution lines using a vehicle according to the present invention to achieve the above-described purpose and the operation method accordingly are that the camera module is placed at the rear of the roof of the vehicle, and the vehicle drives on the road. In a method of operating an image diagnosis system for a transmission and distribution line using a vehicle to acquire images of 22.9 kV or less special high-voltage wires and pole-level equipment facilities located on one side: A first process of setting an image acquisition mode according to the direction of travel and driving speed;

A second process of determining whether images corresponding to special high-voltage wires and pole-unit equipment of 22.9 kV or less exist in the images acquired according to the image acquisition mode set through the first process;

When it is determined that an image of a telephone pole has been acquired through the second process, a third process of tracking the photographed object by rotating the camera module so that the center line of the telephone pole matches the center of the acquired image; When the center line of the utility pole matches the center of the acquired image through the third process, rotate the camera module and proceed to high-speed continuous shooting mode while zooming in on the special high-voltage wires of 22.9 kV or less and pole unit equipment located at the upper part of the pole. A fourth process of accumulating image data of the diagnosis target;

A fifth process of creating a new image with overall super resolution by overlapping the images acquired through the fourth process with the same pixels; and

It includes a sixth process that diagnoses the need for maintenance of special high-voltage wires of 22.9 kV or less and equipment and facilities at the pole level based on the super-resolution image generated through the fifth process.

As an additional feature of the automatic photographing system for optical images of distribution lines using a vehicle according to the present invention to achieve the above-described purpose and the operation method accordingly, the sixth process is performed through the fifth process by a skilled expert. It includes a manual photography process of diagnosing the need for maintenance in the created super-resolution image, marking the area judged to be in need of maintenance on the super-resolution image, and generating a maintenance command.

As an additional feature of the operation method of the 22.9 kV or less special high-voltage wire and pole-level distribution equipment diagnosis system according to the present invention to achieve the above-mentioned purpose, the sixth process is the maintenance that occurs in the manual diagnosis process. Deep learning AI automatic diagnosis that learns a diagnostic pattern by converting it into data based on the super-resolution image and data on the diagnostic area according to the command, and generates data on electric poles and facilities that require maintenance according to the learned diagnostic pattern. It includes the process.

Providing the automatic photographing system for optical images of distribution lines using a vehicle and the corresponding operating method according to the present invention, it is possible to quickly and quickly cover a wide range of diagnostic areas because it moves through the vehicle, and has ultra-high resolution. Even if you do not have a super-resolution camera, you can acquire super-resolution images and use them as the basis for visual diagnosis.

In addition, since many photos are taken and overlapped to increase resolution, there is no need for the trouble of focusing or shaking correction that was required to obtain a single super-resolution image, and there is no need for position adjustment to acquire diagnostic images by tracking the shooting target. It has the effect of convenience as the driver of the vehicle only has to drive according to the designated diagnostic course.

Figure 1 is an example diagram illustrating the process of acquiring image data in a conventional walking diagnosis method using an optical camera.
Figure 2 is an example diagram illustrating the process of acquiring image data in an image diagnosis system for a transmission and distribution line using a vehicle according to the present invention.
Figure 3 is an example block configuration of an image diagnosis system for transmission and distribution lines using a vehicle according to the present invention.
Figure 4 is an example diagram illustrating a method of tracking an object to be photographed in an image diagnosis system for a transmission and distribution line using a vehicle according to the present invention.

Hereinafter, with reference to the attached drawings, the automatic optical image shooting system of a distribution line using a vehicle according to the present invention and the operating method thereof will be described as follows.

The attached Figure 2 is an example diagram for explaining the process of acquiring optical data in the automatic optical image capturing system for a distribution line using a vehicle according to the present invention, and Figure 3 is an image of a transmission and distribution line using a vehicle according to the present invention. It is an exemplary block configuration diagram of a diagnostic system, and Figure 4 is an exemplary diagram for explaining a method of tracking a photographing object in an automatic optical image photographing system for a distribution line using a vehicle according to the present invention.

First, referring to the attached FIG. 3, the image diagnosis system for transmission and distribution lines using a vehicle according to the present invention is, broadly speaking, located at the rear of the vehicle roof, capable of rotating in all directions forming a hemisphere, and within a certain range depending on the driving speed of the vehicle. It performs zoom-in and zoom-out operations to facilitate focus tracking of the subject, and one or two camera modules (100A, 100B) that acquire images of higher resolution or higher, and the camera modules (100A, 100B) The super-resolution conversion module 220 creates a new image with super-resolution overall by overlapping the acquired images with the same pixels, and 22.9 by a random diagnostic expert based on the image generated through the super-resolution conversion module 220. It includes a diagnostic area display module 230 that performs maintenance diagnosis for special high-voltage wires and pole-level equipment and facilities, and based on this, displays poles and facilities requiring maintenance and generates a maintenance command.

At this time, in the present invention, it is preferable that two camera modules (100A, 100B) are provided. The reason is that they are divided into a camera module targeting odd-numbered electric poles and a camera module targeting even-numbered electric poles while driving. This is because higher reliability can be secured in acquiring diagnostic images of electric poles and facilities from a vehicle.

Therefore, the recording integration module 210 consists of two camera modules 100A and 100B, and when the images acquired by each camera module alone lack continuity of images, the related images are rearranged according to the position of the telephone pole. It is a configuration that ensures continuity of images, and it should be noted in advance that if the camera module consists of only one, it will be an unnecessary configuration.

In addition, a diagnosis history data module 310 that sequentially stores data on electric poles and facilities requiring maintenance according to the maintenance command generated through the diagnosis area display module 230 based on the diagnosis time, and the diagnosis Diagnosis patterns are learned through data on electric poles and facilities that require maintenance according to maintenance commands stored in the history data module 310, and the diagnosis is learned based on the image generated through the super-resolution conversion module 220. It further includes a deep learning AI module (320) that generates data on special high-voltage wires of 22.9 kV or less and equipment facilities at the pole level that require maintenance according to the pattern.

At this time, the deep learning AI module 320 and the diagnosis history data module 310 are components for building an automatic diagnosis system, and are configured and operated from the beginning of operation of the automatic optical image shooting system for distribution lines using a vehicle according to the present invention. However, because it actually requires a fairly long learning period, the deep learning AI maintenance command shown in Figure 3 does not occur, and automatic diagnosis is made only when it has reliability within a certain range of error compared to the future maintenance command by an expert. The system is running.

Therefore, when the automatic diagnosis system is operated, the diagnosis area display module 230, which is manually processed by a skilled expert, is not used, and the diagnosis history data module 310 is also not used accordingly.

At this time, it should be noted in advance that the subsequent components, including the recording integration module referred to by reference number 210, may be located in the vehicle together with the camera modules 100A and 100B, or may be separated in a separate facility.

In addition, the camera modules 100A and 100B are equipped with a photographing module 110 that acquires images of higher resolution or higher in one direction by dividing them into a high-speed continuous shooting mode or a low-speed continuous shooting mode, and the shooting module 110. Based on the image acquired through the captured image storage module 140, which stores the acquired image, the photographed module 110 rotates in all directions forming a hemisphere and tracks the photographed object to capture the photographed object within 22.9 kV or less. A photographing target tracking module (150) for acquiring special high-voltage wires, pole-level equipment facilities, and related information as images through the photographing module (110), and a special high voltage of 22.9 kV or less through the photographing object tracking module (150). It is an essential component of the image acquisition control module 120, which tracks information related to electric wires and pole-level equipment and facilities and controls the process of acquiring images through the photography module 110.

In addition, the image acquisition control module 120 controls the photographing target tracking module 150 and the photographing module 110 to acquire images of special high-voltage wires of 22.9 kV or less, equipment facilities at the pole level, and related information. An image acquisition control data module 130 that stores operating data for the camera, and an object tracking module 150 that receives a detection signal for the vehicle's driving speed acquires an image for tracking the object according to the vehicle's speed. For this purpose, when a zoom-in or zoom-out request signal is generated, a zoom control module 160 is further provided to control the photographing module 110 to zoom in or out based on this signal.

Looking at the above-mentioned high resolution or super resolution, it is true that the performance of digital cameras has been rapidly developing due to the recent development of electronic devices and semiconductor devices, and the standard for high resolution has become ambiguous. However, in the dictionary sense, resolution usually referred to as high resolution is for personal use only. For computers (PCs), the standard is at least 640 × 480 pixels (300,000 resolution), and for workstations, the standard is 1,000 × 1,000 or more pixels (1 million resolution).

In addition, super resolution extremely increases the quality of photos acquired using Photoshop & Lightroom in proportion to the number of images provided, and is usually based on resolution in Giga units.

Therefore, the more the image acquired through the photographing module 110 overlaps with other images, the easier it is to convert it to super resolution. There is no damage to the image in the super resolution image even when partial area is enlarged, and the image's No damage means that experts can diagnose the need for maintenance just by reading the images.

In addition, even without having a very expensive super-resolution imaging module, super-resolution images can be acquired through an inexpensive high-resolution imaging module, which has a positive effect on the maintenance and repair of diagnostic equipment.

On the other hand, because the images acquired through the photographing module 110 must overlap each other in many areas, the photographing module 110 operates in a high-speed continuous photographing mode and a low-speed continuous photographing mode.

That is, in the image acquisition direction indicated by reference numbers B, C, and D in the attached FIG. 2, it operates in high-speed continuous shooting mode because it is the object of image acquisition of special high-voltage wires of 22.9 kV or less and pole-unit equipment of the electric pole (1), which is the diagnostic target. .

On the other hand, in the image acquisition direction indicated by reference numbers A, E, and F in the attached FIG. 2, the surrounding environment includes the management number of the electric pole (1), which is not a diagnostic target, so it operates in a low-speed continuous shooting mode.

In addition, in the embodiment of the present invention, the camera module is preferably divided into a first camera module referred to by reference number 100A and a second camera module referred to by reference number 100B. Looking at the attached FIG. 2, When the first camera module 100A is operated corresponding to the image acquisition direction referred to by reference numerals A to F, the second camera module 100B is operated with reference numeral A to the electric pole of the next position according to the vehicle's direction of travel. It has a designated image acquisition direction.

This means that when the vehicle is traveling at 30 km/h, it moves about 8.3 m per second, and when traveling at 50 km/h, it moves about 13.7 m per second. When shooting from a running vehicle with only one camera module, special high-voltage wires and electric poles of 22.9 kV or less are captured. This is because it is difficult to acquire images by continuously adjusting unit equipment and facilities to be positioned in the center of the screen in real time.

In addition, when the image acquisition direction is designated by reference number A, the telephone pole is recognized through the photographing target tracking module 150. Since the telephone pole 1 is usually gray-white, it is gray-white in the image acquired by the photographing module 110. You will find an image of Jeonju.

That is, since the image of the utility pole (1) does not exist in the acquired image referred to by reference number TIa in the attached FIG. 4, an image of a wider area is acquired through zooming out, and an image of the utility pole (1) is present, reference number TIb. acquire.

Accordingly, since the center of the gray-white pillar recognized as a telephone pole in the image with reference number TIb and the center of the acquired image are misaligned, the telephone pole, which is the photographing target, and the corresponding 22.9 through the object tracking module 150, as in the acquired image referred to with reference number TIc. Special high-voltage wires of ㎸ or less and equipment and facilities at the pole level will be tracked.

In Figure 2, which shows the image acquisition direction at this time, it is referred to as reference number B.

Therefore, until the process of finding the telephone pole (1) and matching the center of the telephone pole (1) with the center of the acquired image, it operates in low-speed continuous shooting mode (for example, shooting 10 times per second) and has a zoom-out state. Reduces the burden of data storage and reduces the burden of processor processing.

On the other hand, when matching the center of the electric pole (1) and the center of the acquired image, zoom-in mode and high-speed continuous shooting mode (e.g., It operates at more than 30 shots per second and acquires source images to create super-resolution images of special high-voltage wires of 22.9 kV or less and equipment facilities at the pole level, which are the shooting targets.

In addition, the zoom-in and zoom-out modes are not continuously adjusted, but are based on mode switching between 100% and 200%, and this is due to the special nature of the vehicle being driven, but is not limited to this.

In the above, preferred embodiments of the present invention have been shown and described, but the present invention is not limited to the specific embodiments described above, and is within the technical field to which the method pertains without departing from the gist of the present invention as claimed in the patent claims. Of course, various modifications can be made by those skilled in the art, and these modifications should not be understood individually from the technical idea or perspective of the present invention.

100A, 100B: Camera module 110: Shooting module
120: Image acquisition control module 130: Image acquisition control data module
140: Filming storage module 150: Filming object tracking module
160: Zoom control module 210: Film integration module
220: Super resolution conversion module 230: Diagnostic area display module
310: Diagnosis history data module 320: Deep learning AI module

Claims (14)

In the diagnosis system for special high-voltage wires of 22.9 kV or less and pole-level equipment facilities located on one side of the road, it is located at the rear of the vehicle roof, can rotate in all directions forming a hemisphere, and zooms in within a certain range depending on the vehicle's driving speed. A camera module capable of tracking the focus of a subject by performing zoom-out operations;
a super-resolution conversion module that creates a new super-resolution image by overlapping the images acquired through the camera module with identical pixels; and
A diagnostic area display module that performs maintenance diagnosis based on the image generated through the super-resolution conversion module. An automatic optical image capturing system for a distribution line using a vehicle. According to paragraph 1,
A vehicle including a diagnosis history data module that sequentially stores data on special high-voltage wires of 22.9 kV or less and pole-level equipment that require maintenance according to the maintenance command generated through the diagnosis area display module, sequentially based on the time of diagnosis. Automatic optical image shooting system for distribution lines using . According to paragraph 1,
The camera module is,
A filming module located at the rear of the vehicle roof and taking pictures;
a photographic image storage module that stores images acquired through the photographic module;
Based on the image acquired through the photographing module, the photographing module is rotated in all directions forming a hemisphere and the photographing target is tracked, and information related to special high-voltage wires of 22.9 kV or less and equipment facilities at the pole level are acquired as images through the photographing module. a tracking module for tracking a photographed object; and
A distribution line using a vehicle that includes an image acquisition control module that tracks special high-voltage wires of 22.9 kV or less, pole-level equipment facilities, and related information through the photographing target tracking module and controls the process of acquiring images through the photographing module. Automatic optical image capture system. According to paragraph 3,
The camera module is,
An image acquisition control that stores operational data for controlling the image acquisition control module to control the capture target tracking module and the capture module to acquire images related to special high-voltage wires of 22.9 kV or less and distribution equipment facilities at the pole level. data module;
The shooting target tracking module, which receives a detection signal about the vehicle's driving speed, further includes a zoom control module that controls the shooting module according to a zoom-in or zoom-out request signal to acquire images for tracking the shooting target according to the vehicle's speed. An automatic optical image shooting system for distribution lines using a vehicle, including: According to paragraph 2,
A distribution line using a vehicle that includes a deep learning AI module that learns diagnostic patterns through data on special high-voltage wires of 22.9 kV or less and equipment facilities at the pole level that require maintenance according to maintenance commands stored in the diagnostic history data module. automatic optical image capture system. According to clause 5,
The deep learning AI module is,
A distribution line using a vehicle, characterized in that it generates data on special high-voltage wires of 22.9 kV or less and pole-level distribution equipment that require maintenance according to the diagnostic pattern learned based on the image generated through the super-resolution conversion module. automatic optical image capture system. In the method of operating an automatic optical image shooting system for distribution lines using a vehicle,
Setting an image acquisition mode according to the traveling direction of the vehicle;
determining whether an image corresponding to the previous pole exists in the image acquired according to the image acquisition mode;
When it is determined that an image of a telephone pole has been acquired, tracking the photographing target by rotating the camera module so that the center line of the telephone pole matches the center of the acquired image;
When the center line of the electric pole is matched to the center of the acquired image, the camera module is rotated and the diagnostic target images are captured in high-speed continuous shooting mode while zoomed in on the special high-voltage wires of 22.9 kV or less located at the upper part of the electric pole and equipment facilities at the pole level. accumulating data;
generating a new image with super resolution by overlapping the acquired images with identical pixels; and
A method of operating an automatic optical image shooting system for a distribution line using a vehicle, including performing a diagnosis on the need for maintenance of special high-voltage wires of 22.9 kV or less and equipment and facilities at the pole level based on super-resolution images. In clause 7,
The step of diagnosing the need for maintenance is:
An automatic imaging system for optical images of distribution lines using a vehicle, including a manual diagnosis process of diagnosing the need for maintenance in the super-resolution image, displaying areas judged to be in need of maintenance on the super-resolution image, and generating a maintenance command. operating method. According to clause 8,
A diagnostic pattern is learned by converting it into data based on the super-resolution image and data on the diagnostic area according to the maintenance command generated in the manual diagnosis process, and providing information on electric poles and facilities that require maintenance according to the learned diagnostic pattern. Deep learning AI automatic diagnosis step that generates data; Method of operating an automatic optical image shooting system for distribution lines using a vehicle including. In clause 7,
A distribution line using a vehicle, including placing the camera module at the rear of the roof of the vehicle and acquiring images of special high-voltage wires of 22.9 kV or less and pole-level equipment facilities located on one side of the road while the vehicle drives on the road. How to operate an automatic optical image capture system. In the method of operating an automatic optical image shooting system for distribution lines using a vehicle,
Setting an image acquisition mode according to the driving speed of the vehicle;
determining whether an image corresponding to the previous pole exists in the image acquired according to the image acquisition mode;
When it is determined that images of extra-high voltage wires of 22.9 kV or less and electric pole-level distribution facilities have been acquired, rotating the camera module to match the center line of the electric pole to the center of the acquired image to track the photographing subject;
When the center line of the electric pole is matched to the center of the acquired image, the camera module is rotated and the diagnostic target images are captured in high-speed continuous shooting mode while zoomed in on the special high-voltage wires of 22.9 kV or less located at the upper part of the electric pole and equipment facilities at the pole level. accumulating data;
generating a new image with super resolution by overlapping the acquired images with identical pixels; and
A method of operating an automatic optical image shooting system for a distribution line using a vehicle, including performing a diagnosis on the need for maintenance of special high-voltage wires of 22.9 kV or less and equipment and facilities at the pole level based on super-resolution images. In the method of operating an automatic optical image shooting system for distribution lines using a vehicle,
Setting an image acquisition mode according to the traveling direction and driving speed of the vehicle;
determining whether an image corresponding to the previous pole exists in the image acquired according to the image acquisition mode;
When it is determined that images of special high-voltage wires of 22.9 kV or less and equipment for electric poles have been acquired, tracking the photographing target by rotating the camera module so that the center line of the electric pole matches the center of the acquired image;
When the center of the acquired image matches the center line of the extra-high voltage wires and pole equipment below 22.9 kV, the camera module is rotated and zoomed in on the extra high-voltage wires and pole equipment below 22.9 kV in high-speed continuous shooting mode to diagnose the target. accumulating image data;
generating a new image with super resolution by overlapping the acquired images with identical pixels; and
A method of operating an automatic optical image shooting system for a distribution line using a vehicle, including the step of diagnosing the need for maintenance of special high-voltage wires of 22.9 kV or less and pole-level equipment and facilities based on super-resolution images. In the method of operating an automatic optical image shooting system for distribution lines using a vehicle,
A step of finely setting the focus to acquire a clear target image of electric wires and pole-unit equipment according to the direction and speed of the vehicle;
Measuring the actual distance for acquiring images of the electric wires and utility equipment;
Left and right images of electric poles recognized on the screen of the deep learning AI module that learns diagnostic patterns through data on special high-voltage wires of 22.9 kV or less and equipment and facilities at the pole level that require maintenance according to maintenance commands stored in the diagnostic history data module. /Measuring the sizes of the top and bottom;
A step of automatically fine-tuning the focus of the lens in real time after learning deep learning based on one or more of the size of the measured image of the electric pole on the screen, the real-time speed of the vehicle, and the measured distance of each electric pole; including; Method of operating an automatic optical image shooting system for distribution lines using a vehicle. In the method of operating an automatic optical image shooting system for distribution lines using a vehicle,
A step of finely setting the focus to acquire a clear target image of electric wires and pole-unit equipment according to the direction and speed of the vehicle;
Measuring the actual distance for acquiring images of the electric wires and utility equipment;
Electric poles recognized on the screen of the deep learning AI module, which generates data on extra-high voltage wires of 22.9 kV or less and pole-level distribution equipment that require maintenance according to the diagnostic pattern learned based on the image generated through the super-resolution conversion module. Measuring the left and right/top and bottom sizes of the images;
A step of automatically fine-tuning the focus of the lens in real time after learning deep learning based on one or more of the size of the measured image of the electric pole on the screen, the real-time speed of the vehicle, and the measured distance of each electric pole; including; Method of operating an automatic optical image shooting system for distribution lines using a vehicle.