High-voltage transmission network detection system
Through dynamic servers, content collectors, enhancement devices and intelligent analysis mechanisms, combined with intelligent visual analysis models, the problem of insulator structure judgment is solved, ensuring the safety and reliability of the high-voltage transmission network.
Patent Information
- Application Number
- CN202510750260.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Priority Date
- 2025-01-17
- Filing Date
- 2025-06-06
- Publication Date
- 2025-08-08
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The prior art is difficult to accurately determine whether the insulator maintains structural standards and whether there is structural damage in harsh transmission environments, which affects the working performance of the high-voltage transmission network.
Using dynamic servers, content collectors, multiple enhancement devices and intelligent analysis mechanisms, through grayscale transformation, sharpening processing and Gaussian high-pass filtering operations, combined with intelligent visual analysis models, the Hofitter neural network is used to finely judge the standardity of insulator structure.
It realizes fine judgment of the insulator structure in harsh environments, ensuring the safe and reliable operation of the high-voltage transmission network.
Abstract
Description
Technical Field
[0001] The present invention relates to the field of high-voltage power transmission networks, and in particular to a high-voltage power transmission network detection system. Background Art
[0002] For most power grids, high-voltage grids refer to 110kV and 220kV grids; ultra-high-voltage grids refer to 330kV, 500kV, and 750kV grids. Ultra-high-voltage transmission refers to the 1000kV AC and ±800kV DC transmission projects and technologies currently under development. The ultra-high-voltage grid is a modern, clearly structured, layered, and zoned power grid, with the 1000kV transmission network as the backbone, and comprised of ultra-high-voltage and high-voltage transmission networks, as well as ultra-high-voltage direct current (HVDC) transmission and distribution networks. The fundamental conditions for the formation and development of the ultra-high-voltage grid are the continued growth of electricity load and the construction and development of large- and ultra-large-capacity power plants. Its distinguishing feature is its high-capacity, long-distance transmission.
[0003] Insulators are one of the most common components in high-voltage transmission networks. Since insulators are exposed to harsh transmission environments for long periods of time, whether they maintain structural standards and whether they suffer structural damage is one of the important issues of concern to the managers of high-voltage transmission networks. If insulators suffer structural damage and cannot maintain structural standards, it will have an adverse effect on the working performance of the insulators and even the working performance of the entire high-voltage transmission network. Summary of the Invention
[0004] In order to overcome the technical problems in the prior art, the present invention proposes a high-voltage transmission network detection system. The system sequentially performs targeted optimization processing on a transmission environment image, including grayscale transformation enhancement operation, horizontal sharpening operation, vertical sharpening operation, and Gaussian high-pass filtering operation, to obtain a filtered enhanced image with better image quality. The system also analyzes the grayscale values corresponding to each pixel in the filtered enhanced image and the depth of field values corresponding to each foreground pixel in the filtered enhanced image. At the same time, the binary value of the standard pattern corresponding to the standard structure insulator is extracted. Then, an intelligent visual parsing model is used to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image based on the number of foreground pixels in the filtered enhanced image, the grayscale values corresponding to each pixel in the filtered enhanced image, the depth of field values corresponding to each foreground pixel in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator. This system can then provide a judgment mark for whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image, thereby making a precise and targeted judgment on whether the insulator in a harsh transmission environment has always maintained its structural standard and whether there is structural damage.
[0005] According to the present invention, a high-voltage power transmission network detection system is provided, the system comprising: A dynamic server component, located in a control box near the high-voltage power transmission network, is configured to send a capture trigger instruction every set time interval, wherein the value of the set time interval is inversely correlated with the capture field of view of the content capture component; a content acquisition device, disposed opposite the high-voltage power transmission network and connected to the dynamic server device, configured to complete a real-time image data acquisition of the high-voltage power transmission network working environment upon receiving a capture trigger instruction, so as to obtain and output a corresponding power transmission environment image; a first enhancement device, disposed in the control box and connected to the content acquisition device, configured to perform a grayscale transformation enhancement operation on the received power transmission environment image to obtain and output a corresponding transformation-enhanced image; a second enhancement device, connected to the first enhancement device, configured to sequentially perform horizontal sharpening and vertical sharpening operations on the received transformed and enhanced image to obtain and output a corresponding double-sharpened image; a third enhancement device, connected to the second enhancement device, configured to perform a Gaussian high-pass filtering operation on the received double-sharpened image to obtain and output a corresponding filtered enhanced image; an intelligent parsing mechanism, disposed in the control box and connected to the third enhancement device, for parsing the grayscale values corresponding to the respective pixels in the filtered enhanced image and the depth of field values corresponding to the respective foreground pixels in the filtered enhanced image, and extracting the binary value of the standard pattern corresponding to the standard structure insulator; and employing an intelligent visual parsing model to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image based on the number of the respective foreground pixels in the filtered enhanced image, the grayscale values corresponding to the respective pixels in the filtered enhanced image, the depth of field values corresponding to the respective foreground pixels in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator; Among them, the grayscale values corresponding to each pixel point in the filtered enhanced image and the depth of field values corresponding to each foreground pixel point in the filtered enhanced image are analyzed, and the binary value of the standard pattern corresponding to the standard structure insulator is extracted at the same time. The intelligent visual analysis model is used to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image according to the number of each foreground pixel point in the filtered enhanced image, the grayscale values corresponding to each pixel point in the filtered enhanced image, the depth of field values corresponding to each foreground pixel point in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator. The judgment mark includes: the intelligent visual analysis model is a Hoffet neural network after a preset number of training actions, and the value of the preset number is monotonically positively correlated with the number of pixels in the filtered enhanced image; The intelligent visual parsing model is a Hoffet neural network after a preset number of training actions, and the value of the preset number is monotonically positively correlated with the number of pixels in the filtered enhanced image, including: using a numerical conversion formula to express the numerical conversion relationship of the monotonically positive correlation between the value of the preset number and the number of pixels in the filtered enhanced image; Among them, the numerical conversion relationship in which the value of the preset number is monotonically positively correlated with the number of pixels of the filtered enhanced image is expressed by a numerical conversion formula includes: in the numerical conversion formula, the number of pixels of the filtered enhanced image is the input value of the numerical conversion formula, and the value of the preset number corresponding to the number of pixels of the filtered enhanced image is the output value of the numerical conversion formula.
[0006] It can be seen that the present invention has at least the following four important invention points: First, targeted optimization processing is performed on the power transmission environment image, including grayscale transformation enhancement, horizontal and vertical sharpening, and Gaussian high-pass filtering, to obtain a filtered enhanced image with better image quality. Secondly: analyzing the grayscale values corresponding to each pixel in the filtered enhanced image and the depth of field values corresponding to each foreground pixel in the filtered enhanced image, and extracting the binary values of the standard pattern corresponding to the standard structure insulator; Secondly: An intelligent visual parsing model is used to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image based on the number of foreground pixels in the filtered enhanced image, the grayscale values corresponding to each pixel in the filtered enhanced image, the depth of field values corresponding to each foreground pixel in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator. This allows for precise and targeted judgment on whether the insulator maintains structural standards and whether there is structural damage in harsh power transmission environments. Finally: the structure of the intelligent visual parsing model is customized, and the structural customization is manifested in that the intelligent visual parsing model is a Hoffet neural network after a preset number of training actions, and the value of the preset number is monotonically positively correlated with the number of pixels in the filtered enhanced image.
[0007] The high-voltage transmission network detection system of the present invention is safe, reliable, and intelligently designed. By employing an intelligent visual analysis model to visually identify insulator structural standards based on targeted screening of multiple visual information, it enables precise and targeted assessment of whether insulators maintain structural standards and whether there is structural damage in harsh transmission environments. DETAILED DESCRIPTION
[0008] The following is a detailed description of the implementation scheme of the high-voltage power transmission network detection system of the present invention.
[0009] Implementation Plan 1 The high-voltage power transmission network detection system shown in embodiment 1 of the present invention includes: A dynamic server component, located in a control box near the high-voltage power transmission network, is configured to send a capture trigger instruction every set time interval, wherein the value of the set time interval is inversely correlated with the capture field of view of the content capture component; Specifically, a programmable logic device can be selected to implement the dynamic server component, which is set in a control box near the high-voltage power transmission network and is used to send a collection trigger instruction every set time period. The value of the set time period is inversely correlated with the collection field of view of the content collection device; a content acquisition device, disposed opposite the high-voltage power transmission network and connected to the dynamic server device, configured to complete a real-time image data acquisition of the high-voltage power transmission network working environment upon receiving a capture trigger instruction, so as to obtain and output a corresponding power transmission environment image; a first enhancement device, disposed in the control box and connected to the content acquisition device, configured to perform a grayscale transformation enhancement operation on the received power transmission environment image to obtain and output a corresponding transformation-enhanced image; a second enhancement device, connected to the first enhancement device, configured to sequentially perform horizontal sharpening and vertical sharpening operations on the received transformed and enhanced image to obtain and output a corresponding double-sharpened image; a third enhancement device, connected to the second enhancement device, configured to perform a Gaussian high-pass filtering operation on the received double-sharpened image to obtain and output a corresponding filtered enhanced image; an intelligent parsing mechanism, disposed in the control box and connected to the third enhancement device, for parsing the grayscale values corresponding to the respective pixels in the filtered enhanced image and the depth of field values corresponding to the respective foreground pixels in the filtered enhanced image, and extracting the binary value of the standard pattern corresponding to the standard structure insulator; and employing an intelligent visual parsing model to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image based on the number of the respective foreground pixels in the filtered enhanced image, the grayscale values corresponding to the respective pixels in the filtered enhanced image, the depth of field values corresponding to the respective foreground pixels in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator; Among them, the grayscale values corresponding to each pixel point in the filtered enhanced image and the depth of field values corresponding to each foreground pixel point in the filtered enhanced image are analyzed, and the binary value of the standard pattern corresponding to the standard structure insulator is extracted at the same time. The intelligent visual analysis model is used to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image according to the number of each foreground pixel point in the filtered enhanced image, the grayscale values corresponding to each pixel point in the filtered enhanced image, the depth of field values corresponding to each foreground pixel point in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator. The judgment mark includes: the intelligent visual analysis model is a Hoffet neural network after a preset number of training actions, and the value of the preset number is monotonically positively correlated with the number of pixels in the filtered enhanced image; The intelligent visual parsing model is a Hoffet neural network after a preset number of training actions, and the value of the preset number is monotonically positively correlated with the number of pixels in the filtered enhanced image, including: using a numerical conversion formula to express the numerical conversion relationship of the monotonically positive correlation between the value of the preset number and the number of pixels in the filtered enhanced image; The numerical conversion relationship in which the value of the preset number is monotonically positively correlated with the number of pixels of the filtered enhanced image is expressed by a numerical conversion formula includes: in the numerical conversion formula, the number of pixels of the filtered enhanced image is an input value of the numerical conversion formula, and the value of the preset number corresponding to the number of pixels of the filtered enhanced image is an output value of the numerical conversion formula; And wherein, the dynamic server device is arranged in a control box near the high-voltage transmission network, and is used to send a collection trigger instruction once every set time period. The value of the set time period is inversely correlated with the collection field of view of the content collection device, including: using an information conversion function to represent the information conversion relationship between the value of the set time period and the collection field of view of the content collection device.
[0010] Implementation Plan 2 The high-voltage power transmission network detection system according to embodiment 2 of the present invention may further include the following components: a power detection mechanism, comprising a plurality of power detection units, configured to respectively detect current input powers of the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism; The power detection mechanism includes a plurality of power detection units, and is configured to respectively detect the current input power of the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, including: calculating the respective current input power by measuring the real-time power supply voltage and the real-time power supply current of the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism respectively; The calculating of the respective current input powers by measuring the real-time power supply voltage and the real-time power supply current for the first enhancing device, the second enhancing device, the third enhancing device, and the intelligent analysis mechanism includes: for any device of the first enhancing device, the second enhancing device, the third enhancing device, and the intelligent analysis mechanism, the current input power is the product of the real-time power supply voltage and the real-time power supply current; The power detection mechanism includes a plurality of power detection units for respectively detecting the current input power of the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, further comprising: the plurality of power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism have the same power measurement upper limit threshold and power measurement lower limit threshold; And wherein, the power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism, and also includes: the internal structures of the multiple power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism are the same.
[0011] Implementation Plan 3 The high-voltage power transmission network detection system according to embodiment 3 of the present invention may further include the following components: an on-site notification mechanism, connected to the plurality of power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, and configured to perform corresponding power notification operations based on power measurement results of the plurality of power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism; The on-site notification mechanism is connected to the plurality of power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, and is configured to perform corresponding power notification operations based on power measurement results of the plurality of power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, including: the on-site notification mechanism includes a static storage unit for storing a power notification threshold; And wherein, the on-site notification mechanism is respectively connected to multiple power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism, and is used to perform corresponding power notification operations based on the power measurement results of the multiple power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism. It also includes: the on-site notification mechanism performs corresponding power notification operations for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism based on the voice playback mode.
[0012] In addition, in the high-voltage power transmission network detection system, the information conversion relationship in which the value of the set time length is inversely associated with the collection field of view of the content collection device is represented by an information conversion function, including: in the information conversion function, the collection field of view of the content collection device is used as the input information of the information conversion function, and the value of the set time length corresponding to the collection field of view of the content collection device is used as the output information of the information conversion function.
[0013] Although the present invention has been described in conjunction with preferred embodiments, it will be appreciated that other similar embodiments may be used, or modifications and additions may be made to the described embodiments, to perform the same functions of the present invention without departing from the present invention. For example, although exemplary embodiments of the present invention have been described in the context of a digital device that emulates the functionality of a personal computer, those skilled in the art will recognize that the present invention is not limited to such digital devices and, as described herein, is applicable to any number of existing or emerging computing devices or environments. Therefore, the present invention should not be limited to any single embodiment, but rather should be construed in accordance with the breadth and scope of the appended claims.
Claims
1. A high voltage transmission network detection system, characterized in that the system include: A dynamic server component, located in a control box near the high-voltage transmission network, is used to send a collection trigger instruction every set time period. The value of the set time period is inversely related to the collection field of view of the content collection device; A content acquisition device is provided opposite the high-voltage power transmission network and is connected to the dynamic server device, and is used to complete a real-time image data acquisition of the working environment of the high-voltage power transmission network each time a acquisition trigger instruction is received, so as to obtain and output a corresponding power transmission environment image; a first enhancement device, disposed in the control box and connected to the content acquisition device, configured to perform a grayscale transformation enhancement operation on the received power transmission environment image to obtain and output a corresponding transformation-enhanced image; a second enhancement device, connected to the first enhancement device, configured to sequentially perform horizontal sharpening and vertical sharpening operations on the received transformed and enhanced image to obtain and output a corresponding double-sharpened image; a third enhancement device, connected to the second enhancement device, configured to perform a Gaussian high-pass filtering operation on the received double-sharpened image to obtain and output a corresponding filtered enhanced image; An intelligent parsing mechanism, disposed within the control box and connected to the third enhancement device, is configured to analyze the grayscale values corresponding to each pixel in the filtered enhanced image and the depth of field values corresponding to each foreground pixel in the filtered enhanced image, and simultaneously extract the binary value of the standard pattern corresponding to the standard structure insulator. An intelligent visual parsing model is used to intelligently identify whether the standard pattern corresponding to the standard structure insulator exists in the filtered enhanced image based on the number of foreground pixels in the filtered enhanced image, the grayscale values corresponding to each pixel in the filtered enhanced image, the depth of field values corresponding to each foreground pixel in the filtered enhanced image, and the binary value of the standard pattern corresponding to the standard structure insulator. The intelligent visual parsing model is a Hoffet neural network after a preset number of training actions. The value of the preset number is monotonically positively correlated with the number of pixels in the filtered enhanced image. A numerical conversion formula is used to represent the numerical conversion relationship of the monotonically positive correlation between the value of the preset number and the number of pixels in the filtered enhanced image. In the numerical conversion formula, the number of pixels in the filtered enhanced image is the input value of the numerical conversion formula, and the value of the preset number corresponding to the number of pixels in the filtered enhanced image is the output value of the numerical conversion formula.
2. The high-voltage power transmission network detection system according to claim 1, wherein: A dynamic server device is arranged in a control box near a high-voltage power transmission network, and is used to send a collection trigger instruction once every set time period. The value of the set time period is inversely correlated with the collection field of view of the content collection device, including: using an information conversion function to represent the information conversion relationship between the value of the set time period and the collection field of view of the content collection device.
3. The high-voltage power transmission network detection system according to claim 2, characterized in that: The system also includes: A power detection mechanism, comprising a plurality of power detection units, for respectively detecting the current input power of the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism; The power detection mechanism includes a plurality of power detection units, and is configured to respectively detect the current input power of the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, including calculating the respective current input powers by respectively measuring the real-time power supply voltage and the real-time power supply current for the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism.
4. The high-voltage power transmission network detection system according to claim 3, wherein: The calculation of the respective current input powers is completed by measuring the real-time power supply voltage and the real-time power supply current for the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, respectively, including: for any device of the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, its current input power is the product of its real-time power supply voltage and its real-time power supply current.
5. The high-voltage power transmission network detection system according to claim 3, wherein: The power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism. The multiple power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism also include: the multiple power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism have the same power measurement upper limit threshold and power measurement lower limit threshold.
6. The high-voltage power transmission network detection system according to claim 5, wherein: The power detection mechanism includes multiple power detection units, which are used to respectively detect the current input power of the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism. It also includes: the internal structures of the multiple power detection units respectively used for the first enhancement device, the second enhancement device, the third enhancement device and the intelligent analysis mechanism are the same.
7. The high-voltage power transmission network detection system according to claim 2, characterized in that: The system also includes: The on-site notification mechanism is connected to the multiple power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, and is used to perform corresponding power notification operations based on power measurement results of the multiple power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism.
8. The high-voltage power transmission network detection system according to claim 7, wherein: The on-site notification mechanism is connected to a plurality of power detection units respectively employed by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, and is configured to perform corresponding power notification operations based on power measurement results of the plurality of power detection units respectively employed by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism. The on-site notification mechanism includes a static storage unit for storing a power notification threshold.
9. The high-voltage power transmission network detection system according to claim 8, wherein: The on-site notification mechanism is respectively connected to multiple power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism, and is used to perform corresponding power notification operations based on power measurement results of the multiple power detection units respectively used by the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism. The on-site notification mechanism also includes: the on-site notification mechanism performs corresponding power notification operations for the first enhancement device, the second enhancement device, the third enhancement device, and the intelligent analysis mechanism based on the voice playback mode.