CN106780357A - XLPE cable insulation degree of purity appraisal procedure based on image treating - Google Patents
XLPE cable insulation degree of purity appraisal procedure based on image treating Download PDFInfo
- Publication number
- CN106780357A CN106780357A CN201611029490.3A CN201611029490A CN106780357A CN 106780357 A CN106780357 A CN 106780357A CN 201611029490 A CN201611029490 A CN 201611029490A CN 106780357 A CN106780357 A CN 106780357A
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- image
- impurity
- micro
- xlpe
- xlpe cable
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Links
- 229920003020 cross-linked polyethylene Polymers 0.000 title claims abstract description 31
- 239000004703 cross-linked polyethylene Substances 0.000 title claims abstract description 31
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000009413 insulation Methods 0.000 title claims abstract description 22
- 239000012535 impurity Substances 0.000 claims abstract description 34
- 239000002245 particle Substances 0.000 claims abstract description 19
- 238000012360 testing method Methods 0.000 claims abstract description 10
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 5
- 238000004458 analytical method Methods 0.000 claims abstract description 4
- 239000011810 insulating material Substances 0.000 claims abstract description 4
- 238000010191 image analysis Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims 1
- 238000003709 image segmentation Methods 0.000 abstract description 3
- 230000000877 morphologic effect Effects 0.000 abstract description 3
- 238000004132 cross linking Methods 0.000 abstract description 2
- 239000000284 extract Substances 0.000 abstract description 2
- 238000012935 Averaging Methods 0.000 abstract 1
- 238000001514 detection method Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 2
- 238000010998 test method Methods 0.000 description 2
- 150000001336 alkenes Chemical class 0.000 description 1
- 230000004888 barrier function Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 230000001186 cumulative effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000005484 gravity Effects 0.000 description 1
- 230000002401 inhibitory effect Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000004904 shortening Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
- G06T2207/10061—Microscopic image from scanning electron microscope
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20036—Morphological image processing
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20192—Edge enhancement; Edge preservation
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Image Analysis (AREA)
Abstract
The present invention relates to a kind of XLPE cable insulation degree of purity appraisal procedure based on image treating, its technical characterstic is comprised the following steps：Micro image collection is carried out to XLPE cable test piece；Micro-image to collecting is pre-processed, and is used to remove noise using Morphological Reconstruction method smoothed image；To the geometrical morphology on XLPE cable insulating materials surface, image segmentation is carried out using based on threshold method and fuzzy c averaging method, extract the impurity particle in micro-image；Impurity particle to extracting is marked and carries out geometrical morphology analysis, and accurate quantitative analysis calculating is carried out to impurity particle geometrical morphology feature in XLPE micro-images.The present invention realizes the accurate quick quantitative determination function comprehensively to the geometrical morphology information of the particles such as impurity in crosslinking polyethylene-insulated cable insulation, the specific particle such as impurity, bubble is split, is classified and identification, with accuracy and stronger robustness higher automatically in being insulated to XLPE cable.
Description
Technical field
It is especially a kind of based on image treating the invention belongs to power cable with cross-linked polyethylene insulation technical field
XLPE cable insulation degree of purity appraisal procedure.
Background technology
At present, foundation《GB/T 11017.1-2002 rated voltage 110kV power cable with cross-linked polyethylene insulations and its attached
Part part 1：Test method and requirement》、《GB/Z 18890.1-2002 rated voltages 220kV (Um=252kV) is crosslinked poly- second
Alkene insulated power cable and its annex part 1：Test method and requirement》Regulation, to the detection of XLPE insulating barrier impurity step
Suddenly it is：1st, 80 are radially cut from about 50mm cable core samples long and contains conductor shielding, insulation and insulation shielding
The circular or thin test piece of spirality, the thickness about 0.4mm~0.7mm of test piece；2nd, with transmitted light general inspection, all 80 test pieces are exhausted
Micropore, impurity and semitransparent brown color substance in edge；3rd, minimum multiplication factor is used to be detected above-mentioned general for 15 times of microscope
All exceeded micropores etc. are marked by 20 suspicious Zone Fulls of continuous test piece in checking；4th, put using minimum
Big multiple is that 40 times of measuring microscope measures its size to micropore, impurity etc. on its full-size direction；5th, measure and count
20 cumulative volumes of test piece insulation are calculated, the micropore and amount of impurities of statistics are converted into every 10cm3Quantity in insulation volume, meter
It is integer that calculation value answers the revision of the convention.Above-mentioned detection method visually relies on the experience of gauger using human eye, and measurement error is larger, to impurity
The recognition speed of particle is slow, and detection efficiency is low, testing result data sheet one, and impurity number, size can only be measured, and lacks to week
The statistics of the pattern geometrical characteristic parameter such as length, area, standard deviation.
The content of the invention
It is an object of the invention to overcome the deficiencies in the prior art, there is provided a kind of reasonable in design, accuracy it is high and with compared with
XLPE cable based on the image treating insulation degree of purity appraisal procedure of strong robustness.
The present invention solves its technical problem and takes following technical scheme to realize：
A kind of XLPE cable insulation degree of purity appraisal procedure based on image treating, comprises the following steps：
Step 1, micro image collection is carried out to XLPE cable test piece using micro image analysis equipment；
Step 2, the micro-image to collecting are pre-processed, to strengthen picture contrast, sharpening image edge；Adopt
It is used to remove noise with Morphological Reconstruction method smoothed image, and keeps the basic configuration feature of original micro-image；
Step 3, the geometrical morphology to XLPE cable insulating materials surface, are entered using based on threshold method and Fuzzy c-Means method
Row image segmentation, extracts the impurity particle in micro-image；
Step 4, the impurity particle to extracting are marked and carry out geometrical morphology analysis, in XLPE micro-images
Impurity particle geometrical morphology feature carries out accurate quantitative analysis calculating, realizes the qualitative assessment function to XLPE insulation degrees of purity.
The impurity particle that carries includes following characteristics：Impurity number, impurity girth, area, full-size, barycenter, circularity,
Standard deviation, the minimum rectangle comprising impurity and extrinsic region have the oval long axis length of identical standard second-order moment around mean, short
A topological invariant-Euler's numbers in shaft length, oval eccentricity and geometry topology.
Advantages and positive effects of the present invention are：
The present invention carries out the image procossing based on Mathematical Morphology method to the micro-image of XLPE cable insulation sample, with advanced
Data analysis technique based on, with reference to the correlation theory of Digital Image Processing, realize in crosslinking polyethylene-insulated cable insulation
The accurate quick quantitative determination function comprehensively of the geometrical morphology information of the particles such as impurity, impurity in being insulated to XLPE cable,
The specific particle such as bubble split automatically, classify and identification, its high degree of automation, with accuracy higher and stronger
Robustness, can carry out accurate quantitative analysis comparison to the degree of purity of different XLPE samples；Detection water to improving cable insulation degree of purity
Flat, reduction manpower and materials, shortening degree of purity detection time and the raising horizontal important in inhibiting of cable quality.
Specific embodiment
The embodiment of the present invention is further described below：
A kind of XLPE cable insulation degree of purity appraisal procedure based on image treating, comprises the following steps：
Step 1, micro image collection is carried out to XLPE cable test piece using micro image analysis equipment.
Step 2, the micro-image to collecting are pre-processed, and strengthen picture contrast, sharpening image edge, and adopt
With Morphological Reconstruction method smoothed image, noise is removed, and keep the basic configuration feature of original micro-image.
Step 3, the geometrical morphology to XLPE cable insulating materials surface, using based on threshold method and Fuzzy c-Means method
(FCM) image segmentation is carried out, the impurity particle in micro-image is effectively extracted.
Step 4, the impurity particle to extracting are marked and carry out geometrical morphology analysis, in XLPE micro-images
Impurity particle geometrical morphology feature carries out accurate quantitative analysis calculating, so as to realize the qualitative assessment function to XLPE insulation degrees of purity.
In this step, the impurity particle for extracting includes following characteristics：Impurity number, impurity girth, area, maximum
Size, barycenter (center of gravity), circularity, standard deviation, the minimum rectangle comprising impurity and extrinsic region have identical standard second-order central
A topology in the oval long axis length (under pixel meaning) of square, minor axis length, oval eccentricity and geometry topology
The form factor geometric properties such as invariant-Euler's numbers.
It is emphasized that embodiment of the present invention is illustrative, rather than limited, therefore present invention bag
The embodiment for being not limited to described in specific embodiment is included, it is every by those skilled in the art's technology according to the present invention scheme
The other embodiment for drawing, also belongs to the scope of protection of the invention.
Claims (2)
1. it is a kind of based on image treating XLPE cable insulation degree of purity appraisal procedure, it is characterised in that comprise the following steps：
Step 1, micro image collection is carried out to XLPE cable test piece using micro image analysis equipment；
Step 2, the micro-image to collecting are pre-processed, to strengthen picture contrast, sharpening image edge；Using shape
State reconstructing method smoothed image is used to remove noise, and keeps the basic configuration feature of original micro-image；
Step 3, the geometrical morphology to XLPE cable insulating materials surface, figure is carried out using based on threshold method and Fuzzy c-Means method
As segmentation, the impurity particle in micro-image is extracted；
Step 4, the impurity particle to extracting are marked and carry out geometrical morphology analysis, to impurity in XLPE micro-images
Particle geometric shape characteristic carries out accurate quantitative analysis calculating, realizes the qualitative assessment function to XLPE insulation degrees of purity.
2. it is a kind of based on image treating XLPE cable insulation degree of purity appraisal procedure, it is characterised in that：It is described to carry impurity
Grain includes following characteristics：Impurity number, impurity girth, area, full-size, barycenter, circularity, standard deviation, comprising impurity most
Small rectangle and extrinsic region have oval long axis length, minor axis length, the oval eccentricity of identical standard second-order moment around mean
And a topological invariant-Euler's numbers in geometry topology.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611029490.3A CN106780357A (en) | 2016-11-14 | 2016-11-14 | XLPE cable insulation degree of purity appraisal procedure based on image treating |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611029490.3A CN106780357A (en) | 2016-11-14 | 2016-11-14 | XLPE cable insulation degree of purity appraisal procedure based on image treating |
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| Publication Number | Publication Date |
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| CN106780357A true CN106780357A (en) | 2017-05-31 |
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|---|---|---|---|
| CN201611029490.3A Pending CN106780357A (en) | 2016-11-14 | 2016-11-14 | XLPE cable insulation degree of purity appraisal procedure based on image treating |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107677726A (en) * | 2017-09-29 | 2018-02-09 | 佛山科学技术学院 | A kind of real-time capture and analysis method of film breakdown phenomenon |
| CN109559306A (en) * | 2018-11-27 | 2019-04-02 | 广州供电局有限公司 | Crosslinked polyetylene insulated layer surface planarization detection method based on edge detection |
| CN110009603A (en) * | 2019-03-14 | 2019-07-12 | 广州供电局有限公司 | High-voltage cable insulating detection method and high-tension cable maintaining method |
| CN110363773A (en) * | 2018-12-19 | 2019-10-22 | 嘉兴市恒创电力设备有限公司 | A kind of cable gender detection system and detection method based on image procossing |
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| CN1109168A (en) * | 1992-11-25 | 1995-09-27 | 住友电气工业株式会社 | Method of detecting impurities in molten resin |
| CN103512883A (en) * | 2013-09-29 | 2014-01-15 | 中国科学院半导体研究所 | Digital image processing based method for detecting geometrical characteristics of impurity in polyolefin material |
| US20140110578A1 (en) * | 2012-10-19 | 2014-04-24 | Sukegawa Electric Co., Ltd. | Self-powered gamma detector |
-
2016
- 2016-11-14 CN CN201611029490.3A patent/CN106780357A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1109168A (en) * | 1992-11-25 | 1995-09-27 | 住友电气工业株式会社 | Method of detecting impurities in molten resin |
| US20140110578A1 (en) * | 2012-10-19 | 2014-04-24 | Sukegawa Electric Co., Ltd. | Self-powered gamma detector |
| CN103512883A (en) * | 2013-09-29 | 2014-01-15 | 中国科学院半导体研究所 | Digital image processing based method for detecting geometrical characteristics of impurity in polyolefin material |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107677726A (en) * | 2017-09-29 | 2018-02-09 | 佛山科学技术学院 | A kind of real-time capture and analysis method of film breakdown phenomenon |
| CN107677726B (en) * | 2017-09-29 | 2021-05-04 | 佛山科学技术学院 | Real-time capturing and analyzing method for film breakdown phenomenon |
| CN109559306A (en) * | 2018-11-27 | 2019-04-02 | 广州供电局有限公司 | Crosslinked polyetylene insulated layer surface planarization detection method based on edge detection |
| CN109559306B (en) * | 2018-11-27 | 2021-03-12 | 广东电网有限责任公司广州供电局 | Crosslinked polyethylene insulating layer surface smoothness detection method based on edge detection |
| CN110363773A (en) * | 2018-12-19 | 2019-10-22 | 嘉兴市恒创电力设备有限公司 | A kind of cable gender detection system and detection method based on image procossing |
| CN110363773B (en) * | 2018-12-19 | 2022-11-08 | 国网浙江省电力有限公司嘉兴供电公司 | Cable type detection system and method based on image processing |
| CN110009603A (en) * | 2019-03-14 | 2019-07-12 | 广州供电局有限公司 | High-voltage cable insulating detection method and high-tension cable maintaining method |
| CN110009603B (en) * | 2019-03-14 | 2021-01-29 | 广东电网有限责任公司广州供电局 | High-voltage cable insulation detection method and high-voltage cable maintenance method |
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Application publication date: 20170531 |