CN102230902A - Method for visually and intelligently identifying internal defects of GIS (Geographic Information System) equipment - Google Patents
Method for visually and intelligently identifying internal defects of GIS (Geographic Information System) equipment Download PDFInfo
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Abstract
The invention relates to a method for detecting internal defects of power equipment, in particular to a method for visually and intelligently identifying internal defects of GIS (Geographic Information System) equipment. The method for visually and intelligently identifying internal defects of the GIS equipment comprises the following steps of: A, detecting a local discharge source of the GIS equipment; B, extracting map characteristics of detected local discharge source data; C, performing visual imaging on a local discharge source area to form an X-ray transillumination picture; D, performing characteristic extraction on the X-ray transillumination picture obtained by using an X-ray digital imaging detection system; E, performing similarity retrieval; and F, determining the properties and positions of internal defects of the GIS equipment according to a similarity retrieval result. According to the method, the properties and positions of the internal defects of the GIS equipment can be identified visually and intelligently, and the scientificity, efficiency and accuracy of the detection and diagnosis of the internal defects of the GIS equipment are increased.
Description
Technical field
The present invention relates to a kind of power equipment Inner Defect Testing method, relate in particular to the recognition methods of a kind of GIS device interior defective visual intelligent.
Background technology
Gas insulated combined electrical equipment (GIS) is the visual plant in the electric system, and along with improving constantly of line voltage grade and capacity, the GIS equipment failure rate also increases thereupon.GIS equipment is totally-enclosed unitized construction equipment, in case break down, servicing time is longer, and influence that causes and loss are just very big.Therefore, stable, the reliability service of GIS equipment have very important significance to the safe, stable of electric system.
Defectives such as parts get loose, come off, omission, distortion may appear in GIS equipment in manufacturing, installation, operational process, but are difficult to prediction.The tendency of GIS device interior defective and main forms be shelf depreciation often, and shelf depreciation is the reason that causes insulation degradation simultaneously, and its sustainable development will cause the generation of accident, causes damage to electrical network.
At present, Partial Discharge Detection at GIS equipment mainly is divided into electrical measuring method and non-electrical measuring method, electrical measuring method mainly comprises pulse current method, outward by the electrode method, non-electrical measuring method mainly comprises ultrasonic Detection Method, ultrahigh frequency detection method, the detection method of these shelf depreciations can not determine fully all whether the GIS device interior exists defective, can not determine and identify GIS device interior defects property and position directly perceived, visual, intelligently.
Summary of the invention
In order to determine fully whether the GIS device interior exists defective, simultaneously directly perceived, visual, determine intelligently and identify GIS device interior defects property and position, the present invention proposes the recognition methods of a kind of GIS device interior defective visual intelligent, comprise the steps:
A. GIS equipment is carried out the detection of Partial Discharge Sources;
B. detected shelf depreciation source data is carried out the collection of illustrative plates feature extraction;
C. utilize the X ray digital imaging detection system, the Partial Discharge Sources zone is carried out visual imaging and formed X ray transillumination picture;
The X ray transillumination picture that D. will utilize the X ray digital imaging detection system to obtain carries out feature extraction;
E. with the figure spectrum signature of the shelf depreciation source data that obtains and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system obtains carry out similarity retrieval with default figure spectrum signature and default X ray transillumination picture feature respectively;
F. determine GIS device interior defects property and position according to the similarity retrieval result.
Wherein, GIS equipment is carried out the detection employing ultrasonic Detection Method and the ultrahigh frequency detection method of Partial Discharge Sources.
Detected shelf depreciation source data is carried out the collection of illustrative plates feature extraction to be meant detected shelf depreciation source data is carried out histogram, time domain autocorrelation analysis and power spectrum Feature Extraction.Histogram among the present invention in the figure spectrum signature is the histogram that discharge capacity Q distributes with phase theta in the detected shelf depreciation source data.Following formula is adopted in the time domain autocorrelation analysis:
Wherein, ρ
x(τ) be the time domain autocorrelation analysis, τ is the time difference, and x (t) is the discharge capacity Q burst of t in time in the shelf depreciation source data.The power spectrum expression formula is:
Wherein, W
x(ω) be power spectrum, ρ
x(τ) be the time domain autocorrelation analysis, ω is an angular frequency, and τ is the time difference.
Utilize the X ray digital imaging detection system, the concrete steps that the Partial Discharge Sources zone is carried out visual imaging and formed X ray transillumination picture are:
C1. be close to the equipment outside in a side of GIS apparatus local discharge source position and place flat panel detector, opposite side is placed the high frequency X-ray production apparatus on quadrupod, with the X ray launch window centrally aligned GIS apparatus local discharge source position of high frequency X-ray production apparatus, the X ray launch window center of maintenance flat panel detector center, high frequency X-ray production apparatus and GIS apparatus local discharge source position are point-blank;
C2. the high frequency X-ray production apparatus is linked to each other with high frequency X-ray production apparatus control box by cable;
C3. flat panel detector is linked to each other with X ray Digital Detecting working with notebook computer station by X ray Digital Detecting data line;
C4. according to conditions such as production scene high frequency X-ray production apparatus, GIS apparatus local discharge source position, setting voltage 80～300kV, electric current 0.8～3mA, transillumination time 60～180s;
C5. after setting X ray digital imaging system parameter, start the ray emission button of high frequency X-ray production apparatus control box, the GIS device interior Partial Discharge Sources band of position is carried out transillumination and obtained digital picture;
C6. digital picture is carried out filtering and noise reduction handles at X ray Digital Detecting working with notebook computer station;
C7. repeating step C1, C4, C5 and C6, the transillumination different parts.
The concrete grammar that the X ray transillumination picture that utilizes the X ray digital imaging detection system to obtain is carried out feature extraction is the X ray transillumination picture that obtains to be carried out histogram feature extract.
With the figure spectrum signature of the shelf depreciation source data that obtains and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system the obtains concrete grammar that carries out similarity retrieval with default figure spectrum signature and default X ray transillumination picture feature respectively be that the figure spectrum signature of the shelf depreciation source data that will obtain and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system obtains utilize Euclidean distance to carry out measuring similarity with default figure spectrum signature and default X ray transillumination picture feature respectively; The Euclidean distance of the feature that obtains respectively the Euclidean distance of the figure spectrum signature of the shelf depreciation source data that obtains and preset map feature and utilize the X ray transillumination picture that the X ray digital imaging detection system obtains and default X ray transillumination picture feature, the Euclidean distance calculating formula of similarity is:
Wherein, (X Y) represents Euclidean distance to D, and x, y are two width of cloth image characteristic of correspondence vectors, x
i, y
iRepresent characteristic component, in the present invention, x representative graph spectrum signature vector or X ray transillumination picture feature vector, y are represented preset map eigenvector or default X ray transillumination picture feature vector; x
iHistogram feature component in histogram in the representative graph spectrum signature, time domain autocorrelation analysis, power spectrum characteristic component or the X ray transillumination picture, y
iRepresent the histogram feature component in histogram, time domain autocorrelation analysis, power spectrum characteristic component or the default X ray transillumination picture in the preset map feature.
According to the similarity retrieval result determine the concrete grammar of GIS device interior defects property and position be according to preset map feature database and default X ray transillumination picture feature storehouse in all features carry out measuring similarity, the maximum similarity that has with preset map feature and default X ray transillumination picture feature is GIS equipment drawing spectrum signature and X ray transillumination picture feature, thereby realize visual identification, and intelligence is determined GIS device interior defects property and position to GIS apparatus local discharge source.
The present invention can realize the visual intelligent identification to GIS device interior defect property and position, improves science, high efficiency and the accuracy of GIS device interior defects detection and diagnosis.
Description of drawings
Fig. 1 is a GIS device interior defective visual intelligent recognition methods process flow diagram of the present invention;
Fig. 2 is that GIS equipment ultrasound wave Partial Discharge Sources of the present invention detects synoptic diagram;
Fig. 3 is that synoptic diagram is detected in GIS equipment high-frequency local discharging of the present invention source;
Fig. 4 is that GIS equipment X ray digital imagery Partial Discharge Sources of the present invention detects synoptic diagram.
Embodiment
Describe GIS device interior defective visual intelligent of the present invention recognition methods in detail below in conjunction with accompanying drawing.
GIS device interior defective visual intelligent recognition methods flow process as shown in Figure 1.This method comprises the steps:
A. GIS equipment is carried out the detection of Partial Discharge Sources;
B. detected shelf depreciation source data is carried out the collection of illustrative plates feature extraction;
C. utilize the X ray digital imaging detection system, the Partial Discharge Sources zone is carried out visual imaging and formed X ray transillumination picture;
The X ray transillumination picture that D. will utilize the X ray digital imaging detection system to obtain carries out feature extraction;
E. with the figure spectrum signature of the shelf depreciation source data that obtains and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system obtains carry out similarity retrieval with default figure spectrum signature and default X ray transillumination picture feature respectively;
F. determine GIS device interior defects property and position according to the similarity retrieval result.
Wherein, GIS equipment is carried out the detection employing ultrasonic Detection Method and the ultrahigh frequency detection method of Partial Discharge Sources.
Detected shelf depreciation source data is carried out the collection of illustrative plates feature extraction to be meant detected shelf depreciation source data is carried out histogram, time domain autocorrelation analysis and power spectrum Feature Extraction.Histogram among the present invention in the figure spectrum signature is the histogram that discharge capacity Q distributes with phase theta in the detected shelf depreciation source data.Following formula is adopted in the time domain autocorrelation analysis:
Wherein, ρ
x(τ) be the time domain autocorrelation analysis, τ is the time difference, and x (t) is the discharge capacity Q burst of t in time in the shelf depreciation source data.The power spectrum expression formula is:
Wherein, W
x(ω) be power spectrum, ρ
x(τ) be the time domain autocorrelation analysis, ω is an angular frequency, and τ is the time difference.
Utilize the X ray digital imaging detection system, the concrete steps that the Partial Discharge Sources zone is carried out visual imaging and formed X ray transillumination picture are:
C1. be close to the equipment outside in a side of GIS apparatus local discharge source position and place flat panel detector, opposite side is placed the high frequency X-ray production apparatus on quadrupod, with the X ray launch window centrally aligned GIS apparatus local discharge source position of high frequency X-ray production apparatus, the X ray launch window center of maintenance flat panel detector center, high frequency X-ray production apparatus and GIS apparatus local discharge source position are point-blank;
C2. the high frequency X-ray production apparatus is linked to each other with high frequency X-ray production apparatus control box by cable;
C3. flat panel detector is linked to each other with X ray Digital Detecting working with notebook computer station by X ray Digital Detecting data line;
C4. according to conditions such as production scene high frequency X-ray production apparatus, GIS apparatus local discharge source position, setting voltage 80～300kV, electric current 0.8～3mA, transillumination time 60～180s;
C5. after setting X ray digital imaging system parameter, start the ray emission button of high frequency X-ray production apparatus control box, the GIS device interior Partial Discharge Sources band of position is carried out transillumination and obtained digital picture;
C6. digital picture is carried out filtering and noise reduction handles at X ray Digital Detecting working with notebook computer station;
C7. repeating step C1, C4, C5 and C6, the transillumination different parts.
The concrete grammar that the X ray transillumination picture that utilizes the X ray digital imaging detection system to obtain is carried out feature extraction is the X ray transillumination picture that obtains to be carried out histogram feature extract.
With the figure spectrum signature of the shelf depreciation source data that obtains and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system the obtains concrete grammar that carries out similarity retrieval with default figure spectrum signature and default X ray transillumination picture feature respectively be that the figure spectrum signature of the shelf depreciation source data that will obtain and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system obtains utilize Euclidean distance to carry out measuring similarity with default figure spectrum signature and default X ray transillumination picture feature respectively; The Euclidean distance of the feature that obtains respectively the Euclidean distance of the figure spectrum signature of the shelf depreciation source data that obtains and preset map feature and utilize the X ray transillumination picture that the X ray digital imaging detection system obtains and default X ray transillumination picture feature, the Euclidean distance calculating formula of similarity is:
Wherein, (X Y) represents Euclidean distance to D, and x, y are two width of cloth image characteristic of correspondence vectors, x
i, y
iRepresent characteristic component, in the present invention, x representative graph spectrum signature vector or X ray transillumination picture feature vector, y are represented preset map eigenvector or default X ray transillumination picture feature vector; x
iHistogram feature component in histogram in the representative graph spectrum signature, time domain autocorrelation analysis, power spectrum characteristic component or the X ray transillumination picture, y
iRepresent the histogram feature component in histogram, time domain autocorrelation analysis, power spectrum characteristic component or the default X ray transillumination picture in the preset map feature.
According to the similarity retrieval result determine the concrete grammar of GIS device interior defects property and position be according to preset map feature database and default X ray transillumination picture feature storehouse in all features carry out measuring similarity, the maximum similarity that has with preset map feature and default X ray transillumination picture feature is GIS equipment drawing spectrum signature and X ray transillumination picture feature, thereby realize visual identification, and intelligence is determined GIS device interior defects property and position to GIS apparatus local discharge source.
GIS equipment ultrasound wave Partial Discharge Sources detects as shown in Figure 2, ultrasonic sensor 1 is connected with ultrasound examination front-end module 3 by ultrasound examination power supply and signal control line 5, and ultrasound examination front-end module 3 is connected with portable ultrasonic ripple industrial computer 4 by ultrasonic test data line 6.Utilize ultrasonic sensor 1 to move on GIS cavity 2, when the GIS device interior produced the shelf depreciation situation owing to internal defects, ultrasonic sensor just might receive abnormal signal; Conversely, when showing abnormality signal on the portable ultrasonic ripple industrial computer 4, can think also that then the GIS device interior exists defective to produce the shelf depreciation situation probably.
GIS equipment high-frequency local discharging source is detected as shown in Figure 3, uhf sensor 7 detects power supply by ultrahigh frequency and signal control line 11 is connected with ultrahigh frequency detection front-end module 9, ultrahigh frequency detects front-end module 9 and is connected with portable ultrahigh frequency industrial computer 10 by ultrahigh frequency detection data line 12, and uhf sensor 7 is installed on the disc insulator 8.When the GIS device interior produced the shelf depreciation situation owing to internal defects, uhf sensor just might receive abnormal signal; Conversely, when showing abnormality signal on the portable ultrahigh frequency industrial computer 10, can think also that then the GIS device interior exists defective to produce the shelf depreciation situation probably.
GIS equipment X ray digital imagery Partial Discharge Sources detects as shown in Figure 4, utilize detection of GIS equipment ultrasound wave Partial Discharge Sources and GIS equipment high-frequency local discharging source to detect and find that may there be Partial Discharge Sources in the GIS device interior, in the GIS of shelf depreciation source position 20 equipment one side, be close to GIS cavity 2 and place flat panel detector 16, flat panel detector 16 is connected with X ray Digital Detecting working with notebook computer station 17 by X ray Digital Detecting data line 18, at GIS equipment opposite side, the X ray emitter window 19 of high frequency X-ray production apparatus 13 is faced shelf depreciation source position 20, high frequency X-ray production apparatus 13 is installed on the quadrupod 15, and high frequency X-ray production apparatus 13 is connected with high frequency X-ray production apparatus control box 14.Utilize high frequency X-ray production apparatus control box 14 control high frequency X-ray production apparatus 13 to carry out transillumination, can clearly find out the situation of the inherent vice 22 of the GIS shelf depreciation source position of being shone by X-ray 20 by the digital picture 21 that shows on the X ray Digital Detecting working with notebook computer station 17 by X ray generation window 19 and 16 pairs of GIS device interiors of flat panel detector shelf depreciation source position.
Claims (8)
1.GIS the recognition methods of device interior defective visual intelligent is characterized in that, comprises the steps:
A. GIS equipment is carried out the detection of Partial Discharge Sources;
B. detected shelf depreciation source data is carried out the collection of illustrative plates feature extraction;
C. utilize the X ray digital imaging detection system, the Partial Discharge Sources zone is carried out visual imaging and formed X ray transillumination picture;
The X ray transillumination picture that D. will utilize the X ray digital imaging detection system to obtain carries out feature extraction;
E. with the figure spectrum signature of the shelf depreciation source data that obtains and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system obtains carry out similarity retrieval with default figure spectrum signature and default X ray transillumination picture feature respectively;
F. determine GIS device interior defects property and position according to the similarity retrieval result.
2. GIS device interior defective visual intelligent as claimed in claim 1 recognition methods is characterized in that, described steps A adopts ultrasonic Detection Method and ultrahigh frequency detection method.
3. GIS device interior defective visual intelligent as claimed in claim 1 recognition methods is characterized in that described step B is meant detected shelf depreciation source data is carried out histogram, time domain autocorrelation analysis and power spectrum Feature Extraction.
4. GIS device interior defective visual intelligent as claimed in claim 3 recognition methods is characterized in that, described histogram is the histogram that discharge capacity Q distributes with phase theta in the detected shelf depreciation source data; Following formula is adopted in the time domain autocorrelation analysis:
Wherein, ρ
x(τ) be the time domain autocorrelation analysis, τ is the time difference, and x (t) is the discharge capacity Q burst of t in time in the shelf depreciation source data; The power spectrum expression formula is:
Wherein, W
x(ω) be power spectrum, ρ
x(τ) be the time domain autocorrelation analysis, ω is an angular frequency, and τ is the time difference.
5. GIS device interior defective visual intelligent as claimed in claim 1 recognition methods is characterized in that the concrete steps of described step C are:
C1. be close to the equipment outside in a side of GIS apparatus local discharge source position and place flat panel detector, opposite side is placed the high frequency X-ray production apparatus on quadrupod, with the X ray launch window centrally aligned GIS apparatus local discharge source position of high frequency X-ray production apparatus, the X ray launch window center of maintenance flat panel detector center, high frequency X-ray production apparatus and GIS apparatus local discharge source position are point-blank;
C2. the high frequency X-ray production apparatus is linked to each other with high frequency X-ray production apparatus control box by cable;
C3. flat panel detector is linked to each other with X ray Digital Detecting working with notebook computer station by X ray Digital Detecting data line;
C4. according to conditions such as production scene high frequency X-ray production apparatus, GIS apparatus local discharge source position, setting voltage 80～300kV, electric current 0.8～3mA, transillumination time 60～180s;
C5. after setting X ray digital imaging system parameter, start the ray emission button of high frequency X-ray production apparatus control box, the GIS device interior Partial Discharge Sources band of position is carried out transillumination and obtained digital picture;
C6. digital picture is carried out filtering and noise reduction handles at X ray Digital Detecting working with notebook computer station;
C7. repeating step C1, C4, C5 and C6, the transillumination different parts.
6. GIS device interior defective visual intelligent as claimed in claim 1 recognition methods is characterized in that, the concrete grammar of described step D is the X ray transillumination picture that obtains to be carried out histogram feature extract.
7. GIS device interior defective visual intelligent as claimed in claim 1 recognition methods, it is characterized in that, the concrete grammar of described step e is that the figure spectrum signature of the shelf depreciation source data that will obtain and the feature of utilizing the X ray transillumination picture that the X ray digital imaging detection system obtains utilize Euclidean distance to carry out measuring similarity with default figure spectrum signature and default X ray transillumination picture feature respectively, the Euclidean distance of the feature that obtains the Euclidean distance of the figure spectrum signature of the shelf depreciation source data that obtains and preset map feature respectively and utilize the X ray transillumination picture that the X ray digital imaging detection system obtains and default X ray transillumination picture feature, the Euclidean distance calculating formula of similarity is:
Wherein, (X Y) represents Euclidean distance to D, and x, y are two width of cloth image characteristic of correspondence vectors, x
i, y
iRepresent characteristic component, in the present invention, x representative graph spectrum signature vector or X ray transillumination picture feature vector, y are represented preset map eigenvector or default X ray transillumination picture feature vector; x
iHistogram feature component in histogram in the representative graph spectrum signature, time domain autocorrelation analysis, power spectrum characteristic component or the X ray transillumination picture, y
iRepresent the histogram feature component in histogram, time domain autocorrelation analysis, power spectrum characteristic component or the default X ray transillumination picture in the preset map feature.
8. GIS device interior defective visual intelligent as claimed in claim 1 recognition methods, it is characterized in that, the concrete grammar of described step F be according to preset map feature database and default X ray transillumination picture feature storehouse in all features carry out measuring similarity, the maximum similarity that has with preset map feature and default X ray transillumination picture feature is GIS equipment drawing spectrum signature and X ray transillumination picture feature, thereby realize visual identification, and intelligence is determined GIS device interior defects property and position to GIS apparatus local discharge source.
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