High-voltage electric leakage detection method and system based on solar blind ultraviolet camera intelligent goggles and AR technology

Abstract

The invention discloses a high-voltage electric leakage detection method and system based on solar-blind ultraviolet camera intelligent goggles and an AR technology, and relates to the technical field of high-voltage equipment detection, and the method comprises the steps: carrying out the image collection of a suspected region, and carrying out the shunting processing of collected information through a camera; performing discharge analysis on the ultraviolet light path image, and performing image fusion on the ultraviolet light path and the visible light path; data storage, voice communication and wireless communication are performed for external interaction; and the AR module displays and marks the data to complete discharge detection. According to the high-voltage electric leakage detection method based on the solar-blind ultraviolet camera intelligent goggles and the AR technology, the detection speed and precision and the safety of operators are remarkably improved, real-time high-precision alignment is achieved, corona discharge of a fault area is detected and displayed in real time through field operation, the two leading-edge technologies are deeply fused, and the high-voltage electric leakage detection efficiency is improved. The invention aims to realize intelligentization, visualization and operation convenience of electric leakage detection, and provides powerful technical support for safety detection in the power industry.

Description

Technical Field

[0001] The present invention relates to the technical field of high-voltage equipment detection, and in particular to a high-voltage leakage detection method and system based on solar-blind ultraviolet camera intelligent goggles and AR technology. Background Art

[0002] The corona discharge phenomenon in the power system will produce sound, light, heat and other effects. Its high-order harmonics will interfere with radio communications. The discharge also causes the air to undergo chemical reactions and decompose into ozone and nitrogen oxides, which are strong oxidants and corrosive agents. They corrode lines and electrodes, reducing their service life and also causing power loss.

[0003] In the traditional field of leakage detection for high-voltage power lines and equipment, manual inspections, contact measurements, infrared thermal imaging, and ultrasonic detection are the mainstream methods. However, these methods are not only inefficient but also carry high risks, prone to missed detections or misjudgments. Sunlight contains strong infrared radiation, and outdoor environments are prone to numerous heat sources, resulting in a high rate of false detections using infrared thermal imaging. Ultrasonic detection technology can locate the source of discharges, but its low sensitivity prevents early detection of discharges. Furthermore, due to the limitations of ultrasonic wave propagation in air, it is unable to determine the magnitude of the discharge. With technological advancements, ultraviolet imaging technology, particularly solar-blind ultraviolet imaging, has gradually emerged as a promising method for detecting discharges in power equipment due to its high sensitivity to specific wavelengths of ultraviolet light. However, simple ultraviolet imaging technology still faces challenges, such as non-intuitive information display and reliance on specialized personnel for interpretation. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the existing technology, which is purely ultraviolet imaging technology, still faces challenges such as non-intuitive information display and reliance on professionals for interpretation.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a high voltage leakage detection method based on solar blind ultraviolet camera smart goggles and AR technology, comprising:

[0007] The image of the suspected area is collected, and the camera processes the collected information in a branching manner;

[0008] Discharge analysis is performed on the UV light path image, and image fusion is performed on the UV light path and visible light path;

[0009] Data storage, voice communication, and wireless communication for external interaction;

[0010] The AR module displays and annotates the data to complete the discharge detection.

[0011] As a preferred embodiment of the high-voltage leakage detection method based on the solar-blind ultraviolet camera smart goggles and AR technology described in the present invention, the camera includes a first glasses frame, a second glasses frame, a button, a first speaker interface, a second speaker interface, a camera placement port, an anti-drop hole, a glasses frame and glasses lenses, the glasses lenses are embedded in the glasses frame, the first glasses frame is connected to the left side of the glasses frame, the micro camera placement port is set in the middle of the glasses frame, the second glasses frame is connected to the right side of the glasses frame, the button is set at the bottom of the first glasses frame, the first speaker interface is set at the bottom of the first glasses frame, and the second speaker interface is set at the bottom of the second glasses frame. The anti-drop hole can be used in conjunction with an anti-drop rope to prevent glasses from falling during operation; the first glasses frame, the second glasses frame and the glasses frame are all hollow structures, forming a connected cavity inside, and the intelligent processing system of the smart goggles supporting remote collaborative operations is fixedly installed in the cavity.

[0012] As a preferred solution of the high-voltage leakage detection method based on day-blind ultraviolet camera intelligent goggles and AR technology described in the present invention, the intelligent processing system includes a central processing unit for processing various signals and executing control instructions, adopts an ARM multi-core SoC architecture, with a multi-core ARM processor as the core, and integrates image processing units, coprocessors and other hardware acceleration units on the chip, providing rich peripheral interfaces. Its powerful computing power and image processing capabilities, coupled with built-in algorithm programs, can quickly and accurately analyze the received ultraviolet light characteristic information; by analyzing the ultraviolet light intensity, distribution and other characteristics of the leakage area, it automatically determines whether there is a leakage phenomenon, accurately locates the leakage position and evaluates its severity.

[0013] As a preferred solution of the high-voltage leakage detection method based on the day-blind ultraviolet camera intelligent goggles and AR technology described in the present invention, the branching processing of the collected information includes: the light collected by the day-blind ultraviolet camera imaging lens is reflected and transmitted through a beam splitting prism to form a day-blind ultraviolet light path and a visible light path, the day-blind ultraviolet light path passes through the ultraviolet filter, the ultraviolet band imaging lens, the digital micromirror device, and the ultraviolet band collection lens in sequence and then converges on the ultraviolet band optical sensor, and the visible light path passes through the visible light filter and the visible light band imaging lens in sequence and then reaches the visible light band optical sensor.

[0014] As a preferred solution of the high-voltage leakage detection method based on day-blind ultraviolet camera smart goggles and AR technology described in the present invention, the discharge analysis includes inputting data from the ultraviolet sensor and the visible light sensor into the central processor of the smart glasses, and after image algorithm processing, the ultraviolet image collected by the day-blind ultraviolet light path is denoised and fused with the visible light image collected by the visible light path, and a positioning image of the leakage area is output, and the leakage area is marked and displayed by using the smart glasses AR imaging technology to complete the leakage detection.

[0015] As a preferred solution of the high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology described in the present invention, the image fusion includes using an image fusion algorithm to perform image fusion, and a weighted average image fusion algorithm to perform image fusion by comparing the weight Wn=(i,j) (n=1,2,3,...) of a certain feature strength in each source image In(i,j) (n=1,2,3,...). The fused image is expressed as:

[0016] F(i,j)=W1(i,j)I1(i,j)+W2(i,j)I2(i,j)+…+Wn(i,j)In(i,j)

[0017] Where I1(i,j)…In(i,j) and F(i,j) are the pixel values ​​of the source images I1…In and the fused image F at the corresponding position (i,j) of the image, respectively. W1…Wn are the weighting coefficients of each source image, and W1+W2+…+Wn=1. When W1=W2=…=Wn=1 / n, it is direct averaging image fusion.

[0018] As a preferred solution of the high-voltage leakage detection method based on solar-blind UV camera smart goggles and AR technology described in the present invention, wherein: the display and annotation of data includes locating the leakage point using an edge detection algorithm or other image processing algorithm; assuming that the position of the leakage point is P l (x l ,y l ), then its position can be determined by the result of image processing:

[0019]

[0020] Among them, the formula determines the position of the leakage point P by finding the extreme point of the image gradient l ; Use the AR module to display and annotate the data and complete the discharge detection.

[0021] Another object of the present invention is to provide a high-voltage leakage detection system based on solar-blind ultraviolet camera intelligent goggles and AR technology, which can solve the problems contained in the current technology through one of the solutions.

[0022] As a preferred solution of the high-voltage leakage detection system based on solar-blind ultraviolet camera smart goggles and AR technology described in the present invention, it includes:

[0023] The central processing unit module is used to process various signals and execute control instructions. It adopts the ARM multi-core SoC architecture, with a multi-core ARM processor as the core. It integrates hardware acceleration units such as image processing units and coprocessors on the chip, provides a rich peripheral interface, and its powerful computing and image processing capabilities, coupled with built-in algorithm programs, can quickly and accurately analyze the received ultraviolet light characteristic information. By analyzing the ultraviolet light intensity, distribution and other characteristics of the leakage area, it can automatically determine whether there is a leakage phenomenon, accurately locate the leakage position and assess its severity. The data storage unit is connected to the main control unit to expand the storage space.

[0024] A solar-blind ultraviolet camera module is connected to the main control unit. As a core component, the solar-blind ultraviolet camera module has a highly sensitive sensor that can keenly capture ultraviolet light signals of specific wavelengths generated by leakage in high-voltage lines and equipment. These signals are then converted into electrical signals and transmitted to the central processing unit for further processing;

[0025] The AR display unit is connected to the central processing unit and is used to present the test results in real time and intuitively in the AR display area on the lens. The tester only needs to wear smart glasses to directly see detailed information such as the location, shape and severity of the leakage area in their field of view. They no longer need to rely on complex interpretation processes to quickly understand the leakage situation, greatly improving the efficiency and accuracy of detection.

[0026] a motion detection unit, using a high-precision gyroscope, connected to the main control unit, for detecting motion of the smart goggles supporting remote collaborative work;

[0027] Power management unit, used to provide operating voltage to the entire intelligent processing system;

[0028] The voice intercom unit is used for voice intercom between operators. It has a Vox automatic intercom function, which fully frees the operator's hands during voice calls. After the device is connected, there is no need to press buttons to talk, which effectively improves the communication experience of high-altitude workers.

[0029] Wireless communication unit, used for video information data transmission and voice data transmission.

[0030] A computer device includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology.

[0031] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology.

[0032] Beneficial effects of the present invention: The present invention provides a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology, and has carefully conceived and designed a high-voltage leakage detection smart glasses device based on solar-blind ultraviolet camera smart goggles and AR technology. The device uses smart glasses to carry a solar-blind ultraviolet camera and uses AR technology to fuse images of the discharge leakage area. Based on the accuracy of solar-blind ultraviolet imaging and the intuitiveness of AR technology, it has brought revolutionary changes to leakage detection of high-voltage lines and equipment, significantly improving the speed and accuracy of detection and the safety of operators, achieving real-time high-precision alignment, and real-time detection and display of corona discharge in the fault area during on-site operations. By deeply integrating the two cutting-edge technologies, it aims to achieve intelligent, visual and convenient operation of leakage detection, providing strong technical support for safety detection in the power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0034] Figure 1 This is an overall flow chart of a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology provided in the first embodiment of the present invention.

[0035] Figure 2 This is a functional block diagram of a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology, provided in the second embodiment of the present invention.

[0036] Figure 3 A workflow diagram of a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology is provided for the second embodiment of the present invention.

[0037] Figure 4 A structural diagram of a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology is provided for the second embodiment of the present invention. DETAILED DESCRIPTION

[0038] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0039] Example 1, reference Figure 1 , as one embodiment of the present invention, provides a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology, comprising:

[0040] S1: Capture images of the suspected area, and the camera performs branch processing based on the captured information.

[0041] Furthermore, the camera includes a first glasses frame, a second glasses frame, a button, a first speaker interface, a second speaker interface, a camera placement port, an anti-drop hole, a glasses frame, and glasses lenses. The glasses lenses are embedded in the glasses frame. The first glasses frame is connected to the left side of the glasses frame. The micro camera placement port is set in the middle of the glasses frame. The second glasses frame is connected to the right side of the glasses frame. The button is set at the bottom of the first glasses frame. The first speaker interface is set at the bottom of the first glasses frame. The second speaker interface is set at the bottom of the second glasses frame. The anti-drop hole can be used with an anti-drop rope to prevent glasses from falling during work. The first glasses frame, the second glasses frame, and the glasses frame are all hollow structures, forming a connected cavity inside. The intelligent processing system of the smart goggles that support remote collaborative work is fixedly installed in the cavity.

[0042] Furthermore, the intelligent processing system includes a central processing unit (CPU) for processing various signals and executing control instructions. It utilizes an ARM multi-core SoC architecture, with a multi-core ARM processor at its core. It integrates hardware acceleration units such as an image processing unit and coprocessor, providing a rich set of peripheral interfaces. Its powerful computing and image processing capabilities, combined with built-in algorithms, enable rapid and accurate analysis of received UV light signatures. By analyzing UV light intensity and distribution in the leakage area, it automatically determines the presence of leakage, accurately locates the leakage, and assesses its severity.

[0043] It should be noted that if Figure 3 As shown, the day-blind ultraviolet camera is a detachable module, which is connected to the central processor of the smart glasses through the central interface of the glasses. The central processor provides power for the camera. The central processor (mainboard) is located on the right bracket of the glasses, and the lithium battery is located on the left bracket of the glasses. The day-blind ultraviolet camera is connected and communicates with the central processor through FPC.

[0044] S2: Discharge analysis is performed on the UV light path image, and image fusion is performed on the UV light path and visible light path.

[0045] Further, such as Figure 2 As shown, light collected by the day-blind UV camera's imaging lens is reflected and transmitted through a beam-splitting prism to form a day-blind UV path and a visible light path. The day-blind UV path passes through a UV filter, a UV-band imaging lens, a digital micromirror device, and a UV-band collection lens before converging on a UV optical sensor. The visible light path passes through a visible filter and a visible-band imaging lens before reaching the visible-band optical sensor. Data from the UV and visible light sensors is input into the smart glasses' central processor. After image algorithm processing, the UV image collected by the day-blind UV path is de-noised and fused with the visible light image collected by the visible light path. This outputs a localized image of the leakage area, which is then annotated and displayed using the smart glasses' AR imaging technology, completing leakage detection.

[0046] Furthermore, the image fusion described in m includes using an image fusion algorithm to perform image fusion. The weighted average image fusion algorithm performs image fusion by comparing the weights Wn=(i,j)(n=1,2,3,…) of certain features in each source image In(i,j)(n=1,2,3,…). The fused image is expressed as:

[0047] F(i,j)=W1(i,j)I1(i,j)+W2(i,j)I2(i,j)+…+Wn(i,j)In(i,j)

[0048] Where I1(i,j)…In(i,j) and F(i,j) are the pixel values ​​of the source images I1…In and the fused image F at the corresponding position (i,j) of the image, respectively. W1…Wn are the weighting coefficients of each source image, and W1+W2+…+Wn=1. When W1=W2=…=Wn=1 / n, it is direct averaging image fusion.

[0049] S3: Data storage, voice communication, and wireless communication for external interaction.

[0050] Furthermore, the branching processing of the collected information includes: the light collected by the day-blind ultraviolet camera imaging lens is reflected and transmitted through a beam-splitting prism to form a day-blind ultraviolet light path and a visible light path; the day-blind ultraviolet light path passes through an ultraviolet filter, an ultraviolet band imaging lens, a digital micromirror device, and an ultraviolet band collection lens in sequence and then converges on an ultraviolet band optical sensor; the visible light path passes through a visible light filter and a visible light band imaging lens in sequence and then reaches the visible light band optical sensor.

[0051] S4: The AR module displays and annotates the data to complete the discharge detection.

[0052] Furthermore, the discharge analysis includes inputting data from the ultraviolet light sensor and the visible light sensor into the central processor of the smart glasses. After image algorithm processing, the ultraviolet image collected by the day-blind ultraviolet light path is denoised and merged with the visible light image collected by the visible light path, and the positioning image of the leakage area is output. The leakage area is marked and displayed by using the AR imaging technology of the smart glasses to complete the leakage detection.

[0053] Furthermore, displaying and labeling the data includes locating the leakage point using edge detection algorithms or other image processing algorithms; assuming the location of the leakage point is P l (x l ,y l ), then its position can be determined by the result of image processing:

[0054]

[0055] Among them, the formula determines the position of the leakage point P by finding the extreme point of the image gradient l ; Use the AR module to display and annotate the data and complete the discharge detection.

[0056] Example 2, reference Figure 2-Figure 4 , which is an embodiment of the present invention, provides a high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0057] First, using a high-voltage substation as an example, inspectors wearing the high-voltage leakage detection smart glasses of the present invention conduct patrol inspections. When a leakage is detected in a high-voltage line, the solar-blind UV camera module rapidly captures the UV light signal emitted by the leaking area. The image data is analyzed and processed by the central processing unit, which converts the leakage area data and displays the location and severity of the leakage on the glasses via the AR display module. Based on the displayed results, the inspector quickly locates the leakage point and takes appropriate measures.

[0058] Corona discharge emits a faint luminescence in the solar-blind ultraviolet band (240-280nm). Detecting this wavelength can block interference from sunlight and improve detection accuracy. Solar-blind UV cameras, a novel technology for corona detection, offer advantages over traditional techniques. Their innovative image intensifier and filter technology not only effectively blocks sunlight but also offers photon-level sensitivity in solar-blind areas, enabling detection of extremely weak leakage arcs and identifying problems at an early stage. Solar-blind UV imaging technology, unaffected by sunlight, offers ultra-high sensitivity and accurate identification. This technology can identify leaking power sources immediately, allowing for early detection and control of hazards, which is of great significance for the safe operation of power grids. Its high sensitivity, accurate positioning, and low false detection rate make it ideally suited for the requirements of offline and live detection in the next generation of power grids.

[0059] Example 3: The following is an embodiment of the present invention, which provides a high-voltage leakage detection system based on solar-blind ultraviolet camera smart goggles and AR technology, including:

[0060] The central processing unit module is used to process various signals and execute control instructions. It adopts the ARM multi-core SoC architecture, with a multi-core ARM processor as the core. It integrates hardware acceleration units such as image processing units and coprocessors on the chip, provides a rich peripheral interface, and its powerful computing and image processing capabilities, coupled with built-in algorithm programs, can quickly and accurately analyze the received ultraviolet light characteristic information. By analyzing the ultraviolet light intensity, distribution and other characteristics of the leakage area, it can automatically determine whether there is a leakage phenomenon, accurately locate the leakage position and assess its severity. The data storage unit is connected to the main control unit to expand the storage space.

[0061] A solar-blind ultraviolet camera module is connected to the main control unit. As a core component, the solar-blind ultraviolet camera module has a highly sensitive sensor that can keenly capture ultraviolet light signals of specific wavelengths generated by leakage in high-voltage lines and equipment. These signals are then converted into electrical signals and transmitted to the central processing unit for further processing;

[0062] The AR display unit is connected to the central processing unit and is used to present the test results in real time and intuitively in the AR display area on the lens. The tester only needs to wear smart glasses to directly see detailed information such as the location, shape and severity of the leakage area in their field of view. They no longer need to rely on complex interpretation processes to quickly understand the leakage situation, greatly improving the efficiency and accuracy of detection.

[0063] a motion detection unit, using a high-precision gyroscope, connected to the main control unit, for detecting motion of the smart goggles supporting remote collaborative work;

[0064] Power management unit, used to provide operating voltage to the entire intelligent processing system;

[0065] The voice intercom unit is used for voice intercom between operators. It has a Vox automatic intercom function, which fully frees the operator's hands during voice calls. After the device is connected, there is no need to press buttons to talk, which effectively improves the communication experience of high-altitude workers.

[0066] Wireless communication unit, used for video information data transmission and voice data transmission.

[0067] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0068] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0069] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0070] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having logic gate circuits for implementing logical functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc. It should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention and are not intended to be limiting. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced with equivalents without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications should be encompassed by the claims of the present invention.

[0071] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A high-voltage leakage detection method based on solar-blind UV camera smart goggles and AR technology, characterized in that: include: The image of the suspected area is collected, and the camera processes the collected information in a branching manner; Discharge analysis is performed on the UV light path image, and image fusion is performed on the UV light path and visible light path; Data storage, voice communication, and wireless communication for external interaction; The AR module displays and annotates the data to complete the discharge detection.

2. The high-voltage leakage detection method based on solar-blind ultraviolet camera intelligent goggles and AR technology as claimed in claim 1 is characterized in that: The camera includes a first spectacle frame, a second spectacle frame, a button, a first speaker interface, a second speaker interface, a camera placement port, an anti-drop hole, a spectacle frame, and spectacle lenses. The spectacle lenses are embedded in the spectacle frame. The first spectacle frame is connected to the left side of the spectacle frame. The micro camera placement port is set in the middle of the spectacle frame. The second spectacle frame is connected to the right side of the spectacle frame. The button is set at the bottom of the first spectacle frame. The first speaker interface is set at the bottom of the first spectacle frame. The second speaker interface is set at the bottom of the second spectacle frame. The anti-drop hole can be used with an anti-drop rope to prevent glasses from falling during work. The first spectacle frame, the second spectacle frame, and the spectacle frame are all hollow structures, forming a connected cavity inside. The intelligent processing system of the smart goggles that support remote collaborative work is fixedly installed in the cavity.

3. The high-voltage leakage detection method based on solar-blind ultraviolet camera intelligent goggles and AR technology as claimed in claim 2 is characterized in that: The intelligent processing system includes a central processing unit for processing various signals and executing control instructions. It adopts an ARM multi-core SoC architecture, with a multi-core ARM processor as the core. It integrates image processing units, coprocessors and other hardware acceleration units on the chip, and provides a rich peripheral interface. Its powerful computing and image processing capabilities, coupled with built-in algorithm programs, can quickly and accurately analyze the received ultraviolet light characteristic information; by analyzing the ultraviolet light intensity, distribution and other characteristics of the leakage area, it can automatically determine whether there is a leakage phenomenon, accurately locate the leakage position and assess its severity.

4. The high-voltage leakage detection method based on solar-blind ultraviolet camera intelligent goggles and AR technology as claimed in claim 3 is characterized in that: The branching processing of the collected information includes: the light collected by the day-blind ultraviolet camera imaging lens is reflected and transmitted through a beam splitting prism to form a day-blind ultraviolet light path and a visible light path; the day-blind ultraviolet light path passes through an ultraviolet filter, an ultraviolet band imaging lens, a digital micromirror device, and an ultraviolet band collection lens in sequence and then converges on an ultraviolet band optical sensor; the visible light path passes through a visible light filter and a visible light band imaging lens in sequence and then reaches the visible light band optical sensor.

5. The high-voltage leakage detection method based on solar-blind ultraviolet camera intelligent goggles and AR technology as claimed in claim 4 is characterized in that: The discharge analysis includes inputting data from the ultraviolet light sensor and the visible light sensor into the central processor of the smart glasses. After image algorithm processing, the ultraviolet image collected by the day-blind ultraviolet light path is denoised and merged with the visible light image collected by the visible light path, and the positioning image of the leakage area is output. The leakage area is marked and displayed by using the AR imaging technology of the smart glasses to complete the leakage detection.

6. The high-voltage leakage detection method based on solar-blind ultraviolet camera intelligent goggles and AR technology as claimed in claim 5, characterized in that: The image fusion includes using an image fusion algorithm to perform image fusion. The weighted average image fusion algorithm performs image fusion by comparing the weights Wn=(i,j)(n=1,2,3,...) of certain features in each source image In(i,j)(n=1,2,3,...). The fused image is expressed as follows: F(i,j)=W1(i,j)I1(i,j)+W2(i,j)I2(i,j)+…+Wn(i,j)In(i,j) Where I1(i,j)…In(i,j) and F(i,j) are the pixel values ​​of the source images I1…In and the fused image F at the corresponding position (i,j) of the image, respectively. W1…Wn are the weighting coefficients of each source image, and W1+W2+…+Wn=1. When W1=W2=…=Wn=1 / n, it is direct averaging image fusion.

7. The high-voltage leakage detection method based on solar-blind ultraviolet camera intelligent goggles and AR technology as claimed in claim 6, characterized in that: The display and annotation of the data includes locating the leakage point using edge detection algorithm or other image processing algorithm; assuming the position of the leakage point is P l (x l ,y l ), then its position can be determined by the result of image processing: Among them, the formula determines the position of the leakage point P by finding the extreme point of the image gradient l ; Use the AR module to display and annotate the data and complete the discharge detection.

8. A system using the high-voltage leakage detection method based on solar-blind UV camera smart goggles and AR technology as described in any one of claims 1 to 7, characterized in that: The central processing unit module is used to process various signals and execute control instructions. It adopts the ARM multi-core SoC architecture, with a multi-core ARM processor as the core. It integrates hardware acceleration units such as image processing units and coprocessors on the chip, provides a rich peripheral interface, and its powerful computing and image processing capabilities, coupled with built-in algorithm programs, can quickly and accurately analyze the received ultraviolet light characteristic information. By analyzing the ultraviolet light intensity, distribution and other characteristics of the leakage area, it can automatically determine whether there is leakage, accurately locate the leakage location and assess its severity. A data storage unit connected to the main control unit and used to expand storage space; A solar-blind ultraviolet camera module is connected to the main control unit. As a core component, the solar-blind ultraviolet camera module has a highly sensitive sensor that can keenly capture ultraviolet light signals of specific wavelengths generated by leakage in high-voltage lines and equipment; These signals are then converted into electrical signals and transmitted to a central processing unit for further processing; An AR display unit is connected to the central processing unit circuit and is used to present the test results in real time and intuitively in the AR display area on the lens; By simply wearing smart glasses, inspectors can directly see detailed information such as the location, shape, and severity of the leakage area in their field of view. They no longer need to rely on complex interpretation processes to quickly understand the leakage situation, greatly improving detection efficiency and accuracy. a motion detection unit, using a high-precision gyroscope, connected to the main control unit, for detecting motion of the smart goggles supporting remote collaborative work; Power management unit, used to provide operating voltage to the entire intelligent processing system; The voice intercom unit is used for voice intercom between operators. It has a Vox automatic intercom function, which fully frees the operator's hands during voice calls. After the device is connected, there is no need to press buttons to talk, which effectively improves the communication experience of high-altitude workers. Wireless communication unit, used for video information data transmission and voice data transmission.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology are implemented as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the high-voltage leakage detection method based on solar-blind ultraviolet camera smart goggles and AR technology described in any one of claims 1 to 7 are implemented.

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