CN113744179A - Hardware defect detection method on power transmission and distribution line - Google Patents
Hardware defect detection method on power transmission and distribution line Download PDFInfo
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Abstract
The invention provides a hardware defect detection method on a power transmission and distribution line, which comprises the steps of collecting image data of hardware in a target area through an unmanned aerial vehicle; simultaneously acquiring positioning information of the position of the image of each hardware fitting in real time; carrying out further filtering identification through the image data of the hardware fittings, detecting to obtain corrosion defect images of target hardware fittings of the power transmission line, and simultaneously carrying out defect degree grading processing on the corrosion defect images of all the target hardware fittings on the power transmission line to obtain the grading value of each target hardware fitting; and drawing a defect degree grading curve according to the grading value of the target hardware and the number sequence of the target hardware on the power transmission line. The embodiment of the invention can rapidly detect and obtain the corrosion defect image of the target hardware of the power transmission line, and simultaneously divide the corrosion defect degree, and finally draw the defect degree grading curve, thereby very intuitively and comprehensively knowing the hardware defect on the power transmission line and ensuring the use safety of the routing inspection line.
Description
Technical Field
The invention relates to the technical field of power inspection, in particular to a hardware defect detection method on a power transmission and distribution line.
Background
As is well known, the purpose of power transmission line inspection is to find potential safety hazards and faults in a line and to perform timely maintenance, so as to avoid accidents to the maximum extent, or to recover the normal operation of the line with the highest efficiency, thereby ensuring the operation safety of a power grid.
Researchers find that environmental factors and hardware material factors are two important factors causing hardware failure. With the influence of factors such as industrial emission, urban heating in winter and the like, the content of corrosive media in the atmosphere is increased, and the method has an important influence on the performance of the transmission line hardware invisibly. In an atmospheric environment containing corrosive media such as sulfide and nitride, when the atmospheric relative humidity reaches a certain degree, corrosion gradually occurs, wherein electrochemical corrosion is mainly used. The mechanical property and mechanical property of the electric power fitting are reduced due to long-term corrosion, and the method becomes an important hidden danger for safe and stable operation of an electric power system.
After the hardware is highly corroded, greater potential safety hazards can be generated; for example, in the process of patrolling a certain 750kV transmission line, a worker finds that a large number of white corrosion spots exist on the surface of a spacer at one position of the lead. The data show that the spacer was made of ZL102 material. The surface of the just used conductor spacer presents grey metallic luster, and no corrosion sign is seen; however, after a period of use, there were uniform white circular spots, varying in size, across the spacer metal surface. The outer surface of the spot is a layer of white powdery substance, after the white powdery substance is removed, a corrosion trace with a darker color is left at the original corrosion spot, and no obvious corrosion pit depth is seen under an optical magnifier.
However, the conventional inspection method does not involve an effective detection means for the corrosion defect of the specific hardware; therefore, it is still a problem for those skilled in the art to overcome the above technical defects in a short time.
Disclosure of Invention
The invention aims to provide a method for detecting hardware defects on a power transmission and distribution line, so as to solve the problems.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the invention discloses a hardware defect detection method on a power transmission and distribution line, which comprises the following operation steps:
acquiring image data of hardware fittings in a target area through an unmanned aerial vehicle; simultaneously acquiring positioning information of the position of the image of each hardware fitting in real time;
carrying out further filtering identification through the image data of the hardware fittings, detecting to obtain corrosion defect images of target hardware fittings of the power transmission line, and simultaneously carrying out defect degree grading processing on the corrosion defect images of all the target hardware fittings on the power transmission line to obtain a grading score of each target hardware fitting; the target hardware fitting is a hardware fitting of which the defect degree of the corrosion defect image on the transmission line exceeds a first proportional threshold;
and drawing a defect degree grading curve according to the grading value of the target hardware and the number sequence of the target hardware on the power transmission line.
Preferably, as one possible embodiment; determining the number sequence of the target hardware fittings on the power transmission line, specifically comprising the following operations;
and sequentially numbering all the target hardware fittings from one end of the power transmission line to the other end of the power transmission line, so as to obtain the numbering sequence of the target hardware fittings on the power transmission line.
Preferably, as one possible embodiment; the hardware fitting comprises any one of a spacer, a ball head hanging ring, a ball head connecting rod, a socket head hanging plate, a U-shaped hanging ring, a right-angle hanging ring, an extension ring, a U-shaped screw, an extension pull ring, a parallel hanging plate, a right-angle hanging plate, a U-shaped hanging plate, a cross-shaped hanging plate, a traction plate, an adjusting plate, a traction adjusting plate, a suspension hanging shaft, a hanging point hardware fitting, a strain connecting plate supporting frame, a connecting plate, an anti-vibration hammer, a suspension weight, a grading ring and a shielding ring.
Preferably, as one possible embodiment; drawing a defect degree score curve according to the score of the target hardware and the number sequence of the target hardware on the power transmission line, and specifically comprising the following operation steps:
taking the numbering sequence from small to large in the numbering sequence of the target hardware as the abscissa of the defect degree scoring curve; and taking the score of the target hardware corresponding to the number of each target hardware as the ordinate of the defect degree score curve.
Preferably, as one possible embodiment; the method comprises the following steps of carrying out further filtering identification through the image data of the hardware fitting, detecting and obtaining a corrosion defect image of a target hardware fitting of the power transmission line, and comprising the following operation steps:
performing texture feature recognition on image data with corrosion spots in the image data of the hardware by using a deep learning convolutional neural network, further detecting to obtain the image data of the corrosion spots of a target hardware of the power transmission line, and marking the image data of the current target hardware with the corrosion spots after detection to obtain marking information;
simultaneously, detecting the area of the corrosion spot, and judging that the image data of the current target hardware is medium-grade corrosion when the ratio of the area of the corrosion spot to the image data area of the current hardware is larger than a first proportional threshold;
when the ratio of the area of the corrosion spot to the image data area of the current hardware is larger than a second proportional threshold, judging that the image data of the current target hardware is seriously corroded; wherein the second proportional threshold is greater than the first proportional threshold.
Preferably, as one possible embodiment; and carrying out defect degree grading treatment on the corrosion defect images of all the target hardware on the power transmission line to obtain a grading score of each target hardware, wherein the method specifically comprises the following operations: if the image data of the current target hardware is medium-grade corrosion, the score is 10; and if the image data of the current target hardware is seriously corroded, the score is 5.
Preferably, as one possible embodiment; and drawing a defect degree grading curve according to the grading score of the target hardware and the number sequence of the target hardware on the power transmission line, and adding the positioning information of each target hardware to the defect degree grading curve for marking and displaying.
Preferably, as one possible embodiment; and after a defect degree grading curve is drawn according to the grading score of the target hardware and the number sequence of the target hardware on the power transmission line, drawing a local defect degree grading curve of the target hardware in a local region.
Preferably, as one possible embodiment; the method comprises the following steps of drawing a local defect degree grading curve of a target hardware fitting in a local area;
determining position range information of a current region;
searching a target hardware in the position range of the current region, and taking the searched target hardware as the region target hardware;
taking the numbering sequence from small to large in the numbering sequence of the regional target hardware as the abscissa of the local defect degree scoring curve; and taking the score of the target hardware corresponding to the number of each regional target hardware as the ordinate of the local defect degree score curve.
Compared with the prior art, the embodiment of the invention has the advantages that:
the invention provides a hardware defect detection method on a power transmission and distribution line, which can be known by analyzing the main technical contents: acquiring image data of hardware fittings in a target area through an unmanned aerial vehicle; simultaneously acquiring positioning information of the position of the image of each hardware fitting in real time; carrying out further filtering identification through the image data of the hardware fittings, detecting to obtain corrosion defect images of target hardware fittings of the power transmission line, and simultaneously carrying out defect degree grading processing on the corrosion defect images of all the target hardware fittings on the power transmission line to obtain a grading score of each target hardware fitting; the target hardware fitting is a hardware fitting of which the defect degree of the corrosion defect image on the transmission line exceeds a first proportional threshold; and drawing a defect degree grading curve according to the grading value of the target hardware and the number sequence of the target hardware on the power transmission line.
The invention provides a hardware defect detection method on a power transmission and distribution line, which establishes a standardized hardware defect evaluation model, can detect and obtain a corrosion defect image of a target hardware of the power transmission line when the hardware defect evaluation of the whole power transmission line is carried out, and simultaneously divides the corrosion defect degree, and finally draws a defect degree grading curve, so that the hardware defect on the power transmission line can be very intuitively and comprehensively known, and the use safety of the hardware on an inspection line can be known.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic view of a main operation flow of a hardware defect detection method for a power transmission and distribution line according to an embodiment of the present invention;
fig. 2 is a schematic view of a specific operation flow of step S200 in the method for detecting hardware defects on a power transmission and distribution line according to an embodiment of the present invention;
fig. 3 is a schematic view of a specific operation flow of step S300 in the method for detecting hardware defects on a power transmission and distribution line according to an embodiment of the present invention;
fig. 4 is a schematic operation flowchart of step S400 in the method for detecting hardware defects on a power transmission and distribution line according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that certain terms of orientation or positional relationship are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referred devices or elements must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.
In the description of the present invention, it should be noted that "connected" is to be understood broadly, for example, it may be fixed, detachable, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The present invention will be described in further detail below with reference to specific embodiments and with reference to the attached drawings.
Example one
As shown in fig. 1, a method for detecting hardware defects on a power transmission and distribution line according to an embodiment of the present invention includes the following steps:
s100, acquiring image data of hardware fittings in a target area through an unmanned aerial vehicle; simultaneously acquiring positioning information of the position of the image of each hardware fitting in real time;
step S200, carrying out further filtering identification through the image data of the hardware fittings, detecting to obtain corrosion defect images of target hardware fittings of the power transmission line, and simultaneously carrying out defect degree grading treatment on the corrosion defect images of all the target hardware fittings on the power transmission line to obtain the grading value of each target hardware fitting; the target hardware fitting is a hardware fitting of which the defect degree of the corrosion defect image on the transmission line exceeds a first proportional threshold;
and S300, drawing a defect degree grading curve according to the grading value of the target hardware and the number sequence of the target hardware on the power transmission line.
The analysis of the main technical contents shows that: according to the hardware defect detection method on the power transmission and distribution line, provided by the embodiment of the invention, a standardized hardware defect evaluation model is established, when the hardware defect evaluation of the whole power transmission line is carried out, a corrosion defect image of a target hardware of the power transmission line can be detected and obtained, meanwhile, the corrosion defect degree is divided, and finally, a defect degree grading curve is drawn, so that the hardware defect on the power transmission line can be very intuitively and comprehensively known, and the use safety of the hardware on the routing inspection line can be known.
The following detailed description of the specific technology of the hardware defect detection method on the power transmission and distribution line provided by the embodiment of the invention is provided:
preferably, as one possible embodiment; determining the number sequence of the target hardware fittings on the power transmission line, specifically comprising the following operations;
and sequentially numbering all the target hardware fittings from one end of the power transmission line to the other end of the power transmission line, so as to obtain the numbering sequence of the target hardware fittings on the power transmission line.
Preferably, as one possible embodiment; the hardware fitting comprises any one of a spacer, a ball head hanging ring, a ball head connecting rod, a socket head hanging plate, a U-shaped hanging ring, a right-angle hanging ring, an extension ring, a U-shaped screw, an extension pull ring, a parallel hanging plate, a right-angle hanging plate, a U-shaped hanging plate, a cross-shaped hanging plate, a traction plate, an adjusting plate, a traction adjusting plate, a suspension hanging shaft, a hanging point hardware fitting, a strain connecting plate supporting frame, a connecting plate, an anti-vibration hammer, a suspension weight, a grading ring and a shielding ring.
As shown in fig. 2, in the step S200, performing further filtering identification through the image data of the hardware, and detecting and obtaining the corrosion defect image of the target hardware of the power transmission line, includes the following operation steps:
step S210: performing texture feature recognition on image data with corrosion spots in the image data of the hardware by using a deep learning convolutional neural network, further detecting to obtain the image data of the corrosion spots of a target hardware of the power transmission line, and marking the image data of the current target hardware with the corrosion spots after detection to obtain marking information;
step S220: simultaneously, detecting the area of the corrosion spot, and judging that the image data of the current target hardware is medium-grade corrosion when the ratio of the area of the corrosion spot to the image data area of the current hardware is larger than a first proportional threshold;
step S230: when the ratio of the area of the corrosion spot to the image data area of the current hardware is larger than a second proportional threshold, judging that the image data of the current target hardware is seriously corroded; wherein the second proportional threshold is greater than the first proportional threshold.
As shown in fig. 3, in the step S300, a defect degree score curve is obtained by drawing according to the score of the target hardware and the number sequence of the target hardware on the power transmission line, which specifically includes the following operation steps:
step S310: taking the numbering sequence from small to large in the numbering sequence of the target hardware as the abscissa of the defect degree scoring curve;
step S320: and drawing a defect degree grading curve (which can be presented in a schematic form) by taking the grading score of the target hardware corresponding to the number of each target hardware as the ordinate of the defect degree grading curve.
Preferably, as one possible embodiment; and carrying out defect degree grading treatment on the corrosion defect images of all the target hardware on the power transmission line to obtain a grading score of each target hardware, wherein the method specifically comprises the following operations: if the image data of the current target hardware is medium-grade corrosion, the score is 10; and if the image data of the current target hardware is seriously corroded, the score is 5.
Preferably, as one possible embodiment; and drawing a defect degree grading curve according to the grading score of the target hardware and the number sequence of the target hardware on the power transmission line, and adding the positioning information of each target hardware to the defect degree grading curve for marking and displaying.
Preferably, as one possible embodiment; and after drawing a defect degree grading curve according to the grading score of the target hardware and the number sequence of the target hardware on the power transmission line, drawing a local defect degree grading curve of the target hardware in the local region (step 400).
As shown in fig. 4, the drawing of the local defect degree score curve of the target hardware in the local region specifically includes the following operations;
step 410, determining the position range information of the current region;
step 420, searching a target hardware fitting in the position range of the current region area, and taking the searched target hardware fitting as a region target hardware fitting;
step 430, taking the numbering sequence from small to large in the numbering sequence of the regional target hardware as the abscissa of the local defect degree scoring curve; and taking the score of the target hardware corresponding to the number of each regional target hardware as the ordinate of the local defect degree score curve.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The hardware defect detection method on the power transmission and distribution line is characterized by comprising the following operation steps:
acquiring image data of hardware fittings in a target area through an unmanned aerial vehicle; simultaneously acquiring positioning information of the position of the image of each hardware fitting in real time;
carrying out further filtering identification through the image data of the hardware fittings, detecting to obtain corrosion defect images of target hardware fittings of the power transmission line, and simultaneously carrying out defect degree grading processing on the corrosion defect images of all the target hardware fittings on the power transmission line to obtain a grading score of each target hardware fitting; the target hardware fitting is a hardware fitting of which the defect degree of the corrosion defect image on the transmission line exceeds a first proportional threshold;
and drawing a defect degree grading curve according to the grading value of the target hardware and the number sequence of the target hardware on the power transmission line.
2. The method for detecting hardware defects on the power transmission and distribution line according to claim 1, wherein the determining of the number sequence of the target hardware on the power transmission and distribution line specifically comprises the following operations;
and sequentially numbering all the target hardware fittings from one end of the power transmission line to the other end of the power transmission line, so as to obtain the numbering sequence of the target hardware fittings on the power transmission line.
3. The method of claim 2, wherein the hardware comprises any one of spacers, ball-head suspension rings, ball-head connecting rods, socket suspension plates, U-shaped suspension rings, right-angle suspension rings, extension rings, U-shaped screws, extension pull rings, parallel suspension plates, right-angle suspension plates, U-shaped suspension plates, cross suspension plates, traction plates, adjusting plates, traction adjusting plates, suspension hanging shafts, hanging point hardware, strain-resistant plate support frames, connection plates, anti-vibration hammers, suspended hammers, equalizing rings and shielding rings.
4. The method for detecting the hardware defects on the power transmission and distribution line according to claim 3, wherein a defect degree score curve is obtained by drawing according to the score of the target hardware and the number sequence of the target hardware on the power transmission and distribution line, and the method specifically comprises the following operation steps:
taking the numbering sequence from small to large in the numbering sequence of the target hardware as the abscissa of the defect degree scoring curve; and taking the score of the target hardware corresponding to the number of each target hardware as the ordinate of the defect degree score curve.
5. The method for detecting the hardware fittings defect on the power transmission and distribution line according to claim 4, wherein the corrosion defect image of the target hardware fittings of the power transmission line is detected and obtained by further filtering and identifying the image data of the hardware fittings, and the method comprises the following operation steps:
performing texture feature recognition on image data with corrosion spots in the image data of the hardware by using a deep learning convolutional neural network, further detecting to obtain the image data of the corrosion spots of a target hardware of the power transmission line, and marking the image data of the current target hardware with the corrosion spots after detection to obtain marking information;
simultaneously, detecting the area of the corrosion spot, and judging that the image data of the current target hardware is medium-grade corrosion when the ratio of the area of the corrosion spot to the image data area of the current hardware is larger than a first proportional threshold;
when the ratio of the area of the corrosion spot to the image data area of the current hardware is larger than a second proportional threshold, judging that the image data of the current target hardware is seriously corroded; wherein the second proportional threshold is greater than the first proportional threshold.
6. The hardware defect detection method of claim 5, wherein the defect degree scoring is performed on the corrosion defect images of all target hardware on the transmission line to obtain the score of each target hardware, and the method specifically comprises the following operations: if the image data of the current target hardware is medium-grade corrosion, the score is 10; and if the image data of the current target hardware is seriously corroded, the score is 5.
7. The method for detecting the hardware defects on the power transmission and distribution line according to claim 5, wherein a defect degree grading curve is drawn according to the grading score of the target hardware and the number sequence of the target hardware on the power transmission line, and the method further comprises the step of adding the positioning information of each target hardware to the defect degree grading curve for marking and displaying.
8. The method of claim 5, wherein the step of drawing the defect degree score curves according to the score values of the target hardware and the number sequence of the target hardware on the transmission and distribution line further comprises the step of drawing the local defect degree score curves of the target hardware in the local region.
9. The method according to claim 8, wherein the step of drawing a local defect degree score curve of the target hardware in the local area comprises the following steps;
determining position range information of a current region;
searching a target hardware in the position range of the current region, and taking the searched target hardware as the region target hardware;
taking the numbering sequence from small to large in the numbering sequence of the regional target hardware as the abscissa of the local defect degree scoring curve; and taking the score of the target hardware corresponding to the number of each regional target hardware as the ordinate of the local defect degree score curve.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114708520A (en) * | 2022-06-07 | 2022-07-05 | 浙江大学 | Method for recognizing and processing electric power fitting defect images on power transmission line |
| CN117607019A (en) * | 2023-12-06 | 2024-02-27 | 广东恒威通电力科技有限公司 | Intelligent detection method and detection system for electric power fitting surface |
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| CN117607019A (en) * | 2023-12-06 | 2024-02-27 | 广东恒威通电力科技有限公司 | Intelligent detection method and detection system for electric power fitting surface |
| CN117607019B (en) * | 2023-12-06 | 2024-05-31 | 广东恒威通电力科技有限公司 | Intelligent detection method and detection system for electric power fitting surface |
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