CN105551056A - Line broken-strand detection method and system - Google Patents
Line broken-strand detection method and system Download PDFInfo
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- CN105551056A CN105551056A CN201610054681.9A CN201610054681A CN105551056A CN 105551056 A CN105551056 A CN 105551056A CN 201610054681 A CN201610054681 A CN 201610054681A CN 105551056 A CN105551056 A CN 105551056A
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- 230000005540 biological transmission Effects 0.000 claims abstract description 81
- 238000000034 method Methods 0.000 claims abstract description 31
- 230000000737 periodic effect Effects 0.000 claims abstract description 8
- 230000005611 electricity Effects 0.000 claims description 67
- 238000006243 chemical reaction Methods 0.000 claims description 17
- 238000004458 analytical method Methods 0.000 claims description 12
- 238000009499 grossing Methods 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 9
- 238000003708 edge detection Methods 0.000 claims description 5
- 239000000284 extract Substances 0.000 claims description 5
- 230000002093 peripheral effect Effects 0.000 abstract 2
- 238000007781 pre-processing Methods 0.000 abstract 1
- 230000007547 defect Effects 0.000 description 4
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- 230000007774 longterm Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/60—Rotation of whole images or parts thereof
- G06T3/608—Rotation of whole images or parts thereof by skew deformation, e.g. two-pass or three-pass rotation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
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Abstract
The embodiment of the invention discloses a line broken-strand detection method and a line broken-strand detection system; the method comprises the following steps: obtaining transmission line and peripheral images in a region, carrying out preprocessing operation on the transmission line and peripheral images, obtaining a grayscale image of the transmission line, extracting characteristic information in the grayscale image to obtain a distribution histogram of a binaryzation image, and judging a broken-strand interval of the line according to the distribution histogram to finish the line broken-strand detection. By taking a boundary of the transmission line as a benchmark to obtain the smooth grayscale image of the transmission line, constructing the binaryzation image with line strand distribution characteristics, and taking periodic characteristics of the distribution histogram of the binaryzation image as the standard to judge whether the line broken strand exists simply, reliably, efficiently and quickly, the method and the device disclosed by the invention replace a manner of artificial tower-climbing detection; the safety risk of the detection is reduced, the safety of detection personnel is guaranteed, and the accuracy of the transmission line broken-strand detection is further improved.
Description
Technical field
The present invention relates to transmission line faultlocating technical field, particularly relate to a kind of breakage of circuit stock detection method and system.
Background technology
In long-term transmission of electricity process, because power transmission line and shaft tower annex are chronically exposed to field, the impacts such as the mechanical tension continued, electrically flashover, material aging, Exposure to Sunlight thunderbolt, the wearing and tearing of meeting production part, corrosion equivalent damage and damper depart from installation site, and foreign matter is wound around the faults such as circuit.In many line fault, breakage of circuit stock is comparatively serious one, and breakage of circuit stock can reduce the safe distance between circuit, causes flashover fault, even causes the major accident of wire breaking and tower falling time serious, causes the massive losses that transmission system is stopped transport.
Present stage, the Main Means that broken strand of power transmission line detects carries out visual observations by patrol officer on ground, and workman also will step on tower cabling and closely detects if desired.When detecting, the work of workman is large, and the working environment of high-altitude strong electromagnetic adds the danger of work.When manual detection, observation visual angle with apart from limited.Be subject to geographical environment restriction sometimes, personnel are even difficult to observe near circuit, thus greatly reduce the accuracy rate of detection.
Summary of the invention
Provide a kind of breakage of circuit stock detection method and system in the embodiment of the present invention, to break the low problem of strand Detection accuracy to solve artificial line of the prior art.
In order to solve the problems of the technologies described above, the embodiment of the invention discloses following technical scheme:
A kind of breakage of circuit stock detection method, described method comprises:
Obtain the image of transmission line of electricity and periphery in region;
Pretreatment operation is carried out to described transmission line of electricity and side images;
Obtain the gray level image of transmission line of electricity;
Extract the characteristic information in described gray level image, obtain the distribution histogram of binary image;
Judge that the disconnected stock of circuit is interval according to described distribution histogram, complete breakage of circuit stock and detect.
Preferably, described pretreatment operation is carried out to transmission line of electricity and side images, comprising:
Gray proces is carried out to the image of described transmission line of electricity and periphery, completes the conversion of gray-scale map;
To the smoothing process of described gray-scale map.
Preferably, the gray level image of described acquisition transmission line of electricity, comprising:
Rim detection is carried out to described transmission line of electricity and the pretreated image of side images;
Obtain the line edges of described transmission line of electricity;
With described line edges for benchmark, obtain the gray level image of described transmission line of electricity.
Preferably, the characteristic information in described extraction gray level image, comprising:
Binary conversion treatment is carried out to the gray level image of described transmission line of electricity;
Carry out rotation process, make to be in horizontal direction in the present image after treatment of transmission of electricity, obtain binary image;
Along numerical value direction calculating each row in gray-scale value be the number of pixels of 1.
Preferably, the described disconnected stock interval judging circuit according to distribution histogram, comprising:
Periodicity analysis is carried out to described distribution histogram;
Be positioned at the segment not having periodic law in described distribution histogram, the disconnected stock being defined as circuit is interval.
A kind of breakage of circuit stock detection system, described system comprises:
Acquisition module, for obtaining the image of transmission line of electricity and periphery in specific region;
Pretreatment module, for carrying out pretreatment operation to described transmission line of electricity and side images;
Edge detection module, for obtaining the gray level image of transmission line of electricity;
Extraction module, for extracting the characteristic information in described gray level image, obtains the distribution histogram of binary image;
Analyze judge module, for judging that according to described distribution histogram the disconnected stock of circuit is interval, completing breakage of circuit stock and detecting.
Preferably, described pretreatment module comprises:
Gray proces unit, for carrying out gray proces to the image of described transmission line of electricity and periphery, completes the conversion of gray-scale map;
Smoothing processing unit, for the smoothing process of described gray-scale map.
Preferably, described extraction module comprises:
Binary conversion treatment unit, for carrying out binary conversion treatment to the gray level image of described transmission line of electricity;
Computing unit is the number of pixels of 1 for calculating each row gray-scale value in binary image.
Preferably, described analysis judge module comprises:
Analytic unit, for carrying out periodicity analysis to described distribution histogram;
Judging unit, interval for judging the disconnected stock determining circuit.
From above technical scheme, a kind of breakage of circuit stock detection method that the embodiment of the present invention provides and system, comprise: the image obtaining transmission line of electricity and periphery in region, pretreatment operation is carried out to described transmission line of electricity and side images, obtain the gray level image of transmission line of electricity, extract the characteristic information in described gray level image, obtain the distribution histogram of binary image, judge that the disconnected stock of circuit is interval according to described distribution histogram, complete breakage of circuit stock and detect.With transmission line of electricity border for benchmark, obtain the smooth grey image of transmission line of electricity, binary image is built with line stock distribution characteristics, according to the periodic feature of binary image distribution histogram as standard, simple and reliable, efficiently judge whether breakage of circuit stock exists fast.The present invention replaces the mode of manually stepping on tower and detecting, and reduces the security risk of detection, ensures the safety of testing staff, and further increases the accuracy of broken strand of power transmission line detection.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, for those of ordinary skills, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
The schematic flow sheet of a kind of breakage of circuit stock detection method that Fig. 1 provides for the embodiment of the present invention;
Fig. 2 goes out the profile diagram of transmission line of electricity for a kind of limb recognition that the embodiment of the present invention provides;
A kind of distribution histogram judging broken strand of power transmission line that Fig. 3 provides for the embodiment of the present invention;
The structural representation of a kind of breakage of circuit stock detection system that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Technical scheme in the present invention is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present invention, technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, should belong to the scope of protection of the invention.
See Fig. 1, be the schematic flow sheet of a kind of breakage of circuit stock detection method that the embodiment of the present invention provides, described method comprises:
S100, obtain the image of transmission line of electricity and periphery in region, high-resolution camera or the image of the high collecting device of other resolution to the transmission line of electricity in the transmission line of electricity region needing to detect and periphery can be adopted to carry out continuous print collection, finally choose the object of best image as process.
S200, carries out pretreatment operation to described transmission line of electricity and side images, first carries out gray proces to the image of described transmission line of electricity and periphery, completes the conversion of gray-scale map, then to the smoothing process of described gray-scale map.The concrete gray-scale map completing image transforms, noise reduction, adopts mean value method to obtain gray level image, adopts median smoothing wave filter to the smoothing process of image, by removing chromatic information and noise information with process, obtains pre-service gray level image.
S300, obtains the gray level image of transmission line of electricity; Rim detection is carried out to described transmission line of electricity and the pretreated image of side images, obtains the line edges of described transmission line of electricity, with described line edges for benchmark, obtain the gray level image of described transmission line of electricity.Detailed process is: obtain area-of-interest, the structure with profile namely in gray level image, by the means of Image Edge-Detection, obtains the edge of transmission line of electricity.There are direction and amplitude two attributes in the edge of image, mild along the change of edge direction pixel, violent perpendicular to the change of edge direction pixel.This change on edge can detect by differentiating operator, usually carrys out Edge detected by single order or second derivative, as shown in Figure 2, for being gone out the profile diagram of transmission line of electricity by limb recognition, and 1 edge being transmission line of electricity.
S400, extracts the characteristic information in described gray level image, obtains the distribution histogram of binary image; Binary conversion treatment is carried out to the gray level image of described transmission line of electricity, carry out rotation process, make to be in horizontal direction in the present image after treatment of transmission of electricity, obtain binary image, be the number of pixels of 1 along gray-scale value in each row of numerical value direction calculating, detailed process is: first carry out binary conversion treatment to the transmission line of electricity scope obtained in Fig. 2, then by the angle of image rotation line stock and line edges, transmission line of electricity is made to be in horizontal direction, the horizontal binary image of butterfly.Vertically calculating gray-scale value in each row is the number of pixels of 1, obtains the distribution histogram of binary image, as shown in Figure 3.
According to described distribution histogram, S500, judges that the disconnected stock of circuit is interval, completes breakage of circuit stock and detect.Carry out periodicity analysis to described distribution histogram, be positioned at the segment not having periodic law in described distribution histogram, the disconnected stock being defined as circuit is interval, and detailed process is: by carrying out periodicity analysis to histogram, carried out the detection of defect.In histogram, do not damage the periodicity that circuit presents rule, line stock and line stock gap alternately occur, the distance appearing at vertical direction is respectively line stock width and line stock gap width.And disconnected stock defect will cause line stock gap not obvious, whether there is periodic regularity, as the discrimination standard frayed, finally corresponding region can be positioned, and intelligently defect will be marked out, obtain analysis result.As the Fig. 3 obtained in S400, wherein Xian Gu gap in a-quadrant is not obvious, therefore can conclude to there is disconnected stock defect.
As seen from the above-described embodiment, a kind of breakage of circuit stock detection method that the present embodiment provides, described method comprises: the image obtaining transmission line of electricity and periphery in region, pretreatment operation is carried out to described transmission line of electricity and side images, obtain the gray level image of transmission line of electricity, extract the characteristic information in described gray level image, obtain the distribution histogram of binary image, judge that the disconnected stock of circuit is interval according to described distribution histogram, complete breakage of circuit stock and detect.With transmission line of electricity border for benchmark, obtain the smooth grey image of transmission line of electricity, binary image is built with line stock distribution characteristics, according to the periodic feature of binary image distribution histogram as standard, simple and reliable, efficiently judge whether breakage of circuit stock exists fast.The present invention replaces the mode of manually stepping on tower and detecting, and reduces the security risk of detection, ensures the safety of testing staff, and further increases the accuracy of broken strand of power transmission line detection.
Corresponding with a kind of breakage of circuit stock detection method embodiment provided by the invention, present invention also offers a kind of embodiment of breakage of circuit stock detection system.
See Fig. 4, be the structural representation of a kind of breakage of circuit stock detection system that the embodiment of the present invention provides, described system comprises:
Acquisition module 101, for obtaining the image of transmission line of electricity and periphery in specific region;
Pretreatment module 201, for carrying out pretreatment operation to described transmission line of electricity and side images, described pretreatment module 201 comprises: gray proces unit and level and smooth processing unit.Described gray proces unit is used for carrying out gray proces to the image of described transmission line of electricity and periphery, completes the conversion of gray-scale map; Described smoothing processing unit is used for the smoothing process of described gray-scale map.
Edge detection module 301, for obtaining the gray level image of transmission line of electricity;
Extraction module 401, for extracting the characteristic information in described gray level image, obtains the distribution histogram of binary image, and described extraction module 401 comprises: binary conversion treatment unit and computing unit.Described binary conversion treatment unit is used for carrying out binary conversion treatment to the gray level image of described transmission line of electricity; Described computing unit is the number of pixels of 1 for calculating each row gray-scale value in binary image.
Analyze judge module 501, for judging that according to described distribution histogram the disconnected stock of circuit is interval, complete breakage of circuit stock and detect, described analysis judge module 501 comprises: analytic unit and judging unit.Described analytic unit is used for carrying out periodicity analysis to described distribution histogram; Described judge module, interval for judging the disconnected stock determining circuit.
As seen from the above-described embodiment, a kind of breakage of circuit stock detection system that the present embodiment provides, described system comprises: acquisition module 101, pretreatment module 201, edge detection module 301, extraction module 401 and analysis judge module 501.Described system with transmission line of electricity border for benchmark, obtain the smooth grey image of transmission line of electricity, binary image is built with line stock distribution characteristics, according to the periodic feature of binary image distribution histogram as standard, simple and reliable, efficiently judge whether breakage of circuit stock exists fast, improve broken strand of power transmission line detect accuracy.
Each embodiment in this instructions all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device or system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.Apparatus and system embodiment described above is only schematic, the wherein said unit illustrated as separating component or can may not be and physically separates, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of module wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.
It should be noted that, in this article, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
The above is only the specific embodiment of the present invention, those skilled in the art is understood or realizes the present invention.To be apparent to one skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein can without departing from the spirit or scope of the present invention, realize in other embodiments.Therefore, the present invention can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (9)
1. a breakage of circuit stock detection method, is characterized in that, described method comprises:
Obtain the image of transmission line of electricity and periphery in region;
Pretreatment operation is carried out to described transmission line of electricity and side images;
Obtain the gray level image of transmission line of electricity;
Extract the characteristic information in described gray level image, obtain the distribution histogram of binary image;
Judge that the disconnected stock of circuit is interval according to described distribution histogram, complete breakage of circuit stock and detect.
2. breakage of circuit stock detection method according to claim 1, is characterized in that, describedly carries out pretreatment operation to transmission line of electricity and side images, comprising:
Gray proces is carried out to the image of described transmission line of electricity and periphery, completes the conversion of gray-scale map;
To the smoothing process of described gray-scale map.
3. breakage of circuit stock detection method according to claim 1, is characterized in that, the gray level image of described acquisition transmission line of electricity, comprising:
Rim detection is carried out to described transmission line of electricity and the pretreated image of side images;
Obtain the line edges of described transmission line of electricity;
With described line edges for benchmark, obtain the gray level image of described transmission line of electricity.
4. breakage of circuit stock detection method according to claim 1, is characterized in that, the characteristic information in described extraction gray level image, comprising:
Binary conversion treatment is carried out to the gray level image of described transmission line of electricity;
Carry out rotation process, make to be in horizontal direction in transmission line of electricity image after treatment, obtain binary image;
Along numerical value direction calculating each row in gray-scale value be the number of pixels of 1.
5. breakage of circuit stock detection method according to claim 1, is characterized in that, the described disconnected stock interval judging circuit according to distribution histogram, comprising:
Periodicity analysis is carried out to described distribution histogram;
Be positioned at the segment not having periodic law in described distribution histogram, the disconnected stock being defined as circuit is interval.
6. a breakage of circuit stock detection system, is characterized in that, described system comprises:
Acquisition module, for obtaining the image of transmission line of electricity and periphery in specific region;
Pretreatment module, for carrying out pretreatment operation to described transmission line of electricity and side images;
Edge detection module, for obtaining the gray level image of transmission line of electricity;
Extraction module, for extracting the characteristic information in described gray level image, obtains the distribution histogram of binary image;
Analyze judge module, for judging that according to described distribution histogram the disconnected stock of circuit is interval, completing breakage of circuit stock and detecting.
7. breakage of circuit stock detection system according to claim 6, it is characterized in that, described pretreatment module comprises:
Gray proces unit, for carrying out gray proces to the image of described transmission line of electricity and periphery, completes the conversion of gray-scale map;
Smoothing processing unit, for the smoothing process of described gray-scale map.
8. breakage of circuit stock detection system according to claim 6, it is characterized in that, described extraction module comprises:
Binary conversion treatment unit, for carrying out binary conversion treatment to the gray level image of described transmission line of electricity;
Computing unit is the number of pixels of 1 for calculating each row gray-scale value in binary image.
9. breakage of circuit stock detection system according to claim 6, is characterized in that, described analysis judge module comprises:
Analytic unit, for carrying out periodicity analysis to described distribution histogram;
Judging unit, interval for judging the disconnected stock determining circuit.
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| CN201610054681.9A CN105551056A (en) | 2016-01-27 | 2016-01-27 | Line broken-strand detection method and system |
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Cited By (6)
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| CN107179479A (en) * | 2017-06-12 | 2017-09-19 | 西安工程大学 | Transmission pressure broken lot defect inspection method based on visible images |
| CN108734704A (en) * | 2018-05-07 | 2018-11-02 | 西安工程大学 | Based on the normalized transmission line breakage detection technique of gray variance |
| CN109523543A (en) * | 2018-11-26 | 2019-03-26 | 西安工程大学 | A kind of wire strand breakage detection method based on Edge Distance |
| CN111024705A (en) * | 2019-10-17 | 2020-04-17 | 广东电网有限责任公司清远供电局 | Method, device, equipment and storage medium for detecting broken power line |
| CN113033451A (en) * | 2021-04-02 | 2021-06-25 | 广东电网有限责任公司 | Overhead line fault identification method and system based on deep learning |
| CN113421266A (en) * | 2021-08-25 | 2021-09-21 | 南通电博士自动化设备有限公司 | Power transmission line broken strand detection method and system based on artificial intelligence |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107179479A (en) * | 2017-06-12 | 2017-09-19 | 西安工程大学 | Transmission pressure broken lot defect inspection method based on visible images |
| CN108734704A (en) * | 2018-05-07 | 2018-11-02 | 西安工程大学 | Based on the normalized transmission line breakage detection technique of gray variance |
| CN108734704B (en) * | 2018-05-07 | 2021-11-09 | 西安工程大学 | Transmission conductor strand breakage detection method based on gray variance normalization |
| CN109523543A (en) * | 2018-11-26 | 2019-03-26 | 西安工程大学 | A kind of wire strand breakage detection method based on Edge Distance |
| CN111024705A (en) * | 2019-10-17 | 2020-04-17 | 广东电网有限责任公司清远供电局 | Method, device, equipment and storage medium for detecting broken power line |
| CN113033451A (en) * | 2021-04-02 | 2021-06-25 | 广东电网有限责任公司 | Overhead line fault identification method and system based on deep learning |
| CN113421266A (en) * | 2021-08-25 | 2021-09-21 | 南通电博士自动化设备有限公司 | Power transmission line broken strand detection method and system based on artificial intelligence |
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