KR-20260066006-A - Diagnostic system of power facilities in day time using multi-images
Abstract
The present invention relates to a device and method for diagnosing power equipment using a thermal imaging camera, and in particular, provides a daytime diagnostic system for power equipment using multi-images and a method of operation thereac. The system is characterized by comprising: a camera module that acquires image data having at least two diagnostic perspectives through the same viewing angle for power equipment located on the roof of a vehicle and around a roadway; a target tracking module that rotates and tilts the entire camera module based on the image data acquired through the camera module to change the viewing angle of the camera module so that the power equipment can be matched to the center of the acquired image data; an image acquisition control module that controls the process of tracking the power equipment through the target tracking module and acquiring an image through the camera module; and an image data diagnostic module that performs a diagnosis of the power equipment by comparing and analyzing image data having at least two diagnostic perspectives acquired through the camera module. This improves the current image diagnostic system, which is divided into nighttime and daytime work for the same power equipment depending on direct sunlight or reflected sunlight, by providing a system that can complete the current image diagnostic system in a single operation during the day.
Inventors
- 김주식
Assignees
- 한국전력공사
Dates
- Publication Date
- 20260512
- Application Date
- 20260408
Claims (3)
- A camera module located on the vehicle roof and acquiring image data having at least two diagnostic perspectives through the same viewing angle for power equipment located around the roadway; A shooting target tracking module for changing the viewing angle of the camera module by rotating and tilting the entire camera module based on image data acquired through the camera module so that the power facility can be matched to the center of the acquired image data; An image acquisition control module that controls the process of tracking the power facility through the above-mentioned target tracking module and acquiring an image through the above-mentioned camera module; An image data processing module that processes image data having at least two diagnostic perspectives acquired through the camera module; An image data storage module that stores data processed by the image data processing module above; and An image data diagnostic module that performs diagnosis of the power equipment by comparing and analyzing image data having at least two diagnostic perspectives acquired through the camera module; The above-mentioned target tracking module tracks the power equipment according to the vehicle speed, currently acquired image data, and the output control signal of the image acquisition control module, and when the power equipment is matched to the focus of the acquired image, it acquires image data having at least two diagnostic perspectives. The above-mentioned image data having at least two diagnostic perspectives refers to general image data, ultrasound image data, and thermal image data, and The image data storage module stores image data having at least two diagnostic perspectives of power equipment acquired from the camera module with the focus matched, and The above image data diagnostic module diagnoses image data captured of the same power equipment at the same time by simultaneously comparing routine image data, ultrasonic image data, and thermal image data, and The above camera module is, An image camera that acquires image data having a certain resolution; An ultrasonic camera that acquires image data of noise and the location of noise generation occurring at the same target as the target of the image data acquired by the above image camera; and A thermal imaging camera that acquires thermal image data for the same target as the target of the image data acquired by the above-mentioned imaging camera; A weekly diagnostic system for power facilities using multi-images, characterized by including
- In paragraph 1, The above camera module is, A thermal imaging filter that reduces infrared radiation incident on the above thermal imaging camera; A filter application driving unit that determines whether to apply or not apply the thermal imaging filter to the thermal imaging camera according to a control signal; A weekly diagnostic system for power facilities using multi-images, characterized by further including
- In paragraph 1, The above image data diagnostic module is, A weekly diagnostic system for power equipment using multi-images, characterized by determining whether there is external damage to the power equipment through image data from the above-mentioned imaging camera, determining the heat generation and overheating status of the power equipment through image data from the above-mentioned thermal imaging camera, and determining whether there is internal damage to the power equipment through image data from the above-mentioned ultrasonic camera.
Description
Daytime Diagnostic System of Power Facilities Using Multi-Images The present invention relates to a power facility diagnostic device using a thermal imaging camera, and more specifically, to a daytime diagnostic system for power facilities using multi-images and a method of operation thereac. This is intended to improve the current image diagnostic system, which is divided into nighttime and daytime operations for the same power facility depending on direct or reflected sunlight, so that the current system can complete the work in a single operation during the day. Generally, power equipment operates under high voltage, and degradation occurs due to complex causes such as environmental, mechanical, thermal, and electrical deterioration, and consequently, electrical abnormalities appear. For example, such electrical abnormalities manifest as surface cracks, erosion tracking, increased leakage current, heat generation, ultrasonic sounds, light, mechanical vibrations in equipment, and if these phenomena persist, insulation breakdown occurs, leading to failure. Conventionally, to prevent defects caused by these various abnormal phenomena, diagnostic work is performed manually using various equipment such as infrared cameras, optical cameras, ultrasonic equipment, high-frequency equipment, partial discharge equipment, and VLF (Very Low Frequency) equipment, as shown in the attached Fig. 1. The aforementioned diagnostic method utilizes the characteristic that all objects spontaneously emit infrared radiant energy from their surfaces at absolute zero (-273°C) or higher. Here, the principle of an infrared camera is to convert the radiant energy generated by an object into a temperature form and display it as a visually represented thermal image. In addition, unlike general optical images, thermal images contain a vast amount of temperature information (raw data) depending on the resolution (for example, at a resolution of 640*480 pixels, there are 307,200 pieces of temperature raw data). Infrared thermal imaging cameras enable remote detection using a non-contact diagnostic method and can visually represent diagnostic results in the form of temperature for real-time display. Accordingly, infrared thermal imaging cameras can immediately determine the deterioration status caused by equipment defects, making them efficiently utilized for power facility condition monitoring and diagnosis. Typically, this method of diagnosing power facilities involves a diagnostician wearing a portable infrared thermal imaging camera on their hand, riding in a vehicle, stopping the vehicle in front of the target facility (an extra-high voltage utility pole), photographing the target with the thermal imaging camera, saving the image, and then moving on to the next target. However, this diagnostic method takes a long time to execute, so the daily diagnostic volume per diagnostician is limited to approximately 400 locations. In addition, while some utilize simple vehicle diagnostic devices for diagnosis, there is a problem in that diagnosis takes a long time because images are saved only after the vehicle stops, rather than while driving. Furthermore, to analyze equipment defects, captured images are analyzed manually one by one by analysts using existing analysis programs developed by each infrared camera manufacturer. Consequently, there are numerous instances where deteriorated areas cannot be identified due to differences in the diagnosticians' analysis skills, and the analysis time is also significantly long because it is performed manually for each image. In addition to the aforementioned problems, conventional diagnostic methods using thermal imaging cameras have the limitation that diagnosis is impossible during the day due to direct sunlight or reflection; consequently, when performing thermal imaging diagnosis at night, there is a limitation in that it is impossible to detect line defects with daytime load characteristics. Therefore, for the same diagnostic target, ultrasound or optical diagnosis must be performed during the day and thermal imaging diagnosis at night; consequently, when the diagnosis times differ, there is a problem in that significant effort is required to accurately identify discrepancies between the daytime and nighttime diagnosis results caused by defects in the thermal state that occur in the interim. Moreover, significant complaints regarding the working environment are being received from personnel deployed for night inspections. Fig. 1 is an example diagram illustrating the process of acquiring image data during the day or at night by human power. FIG. 2 is a conceptual diagram of a weekly diagnostic system for power facilities using multi-images according to the present invention. FIG. 3 is an example block diagram of a weekly diagnostic system for power facilities using multi-images according to the present invention. The present invention is capable of various modifications and may have various embodim