CN102519846A - Hyperspectrum-based composite insulator hydrophobicity detection method - Google Patents
Hyperspectrum-based composite insulator hydrophobicity detection method Download PDFInfo
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- CN102519846A CN102519846A CN2011104195823A CN201110419582A CN102519846A CN 102519846 A CN102519846 A CN 102519846A CN 2011104195823 A CN2011104195823 A CN 2011104195823A CN 201110419582 A CN201110419582 A CN 201110419582A CN 102519846 A CN102519846 A CN 102519846A
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Abstract
The invention provides a hyperspectrum-based composite insulator hydrophobicity detection method. The method comprises the following steps: 1, imaging an original composite insulator by a hyperspectral imager before water spraying, acquiring the image before the water spraying, spraying water by an aircraft, and rapidly acquiring the image after the water spraying; 2, extracting spectral characteristics of globules and water marks; and 3, comparing the characteristics with standard grades to determine the hydrophobicity grade of the original composite insulator. According to the invention, the onsite online detection of the hydrophobicity of the composite insulator can be realized without dismounting the composite insulator; and the hydrophobicity grade of the composite insulator is determined by a computer not a human, so the error caused by subjectivity is reduced.
Description
Technical field
The present invention relates to a kind of composite insulator hydrophobic nature detection method; Belong to power transmission and transforming equipment running status maintenance field; Relate in particular to a kind of composite insulator hydrophobic nature detection method, can on-the-spotly carry out hydrophobic nature and detect, needn't dismantle composite insulator the composite insulator water spray based on high spectrum.
Background technology
Composite insulator has good anti-fouling flashover performance, is not easy breakdownly, and the problems such as cluster parachute self-destruction of null value, low value and the glass insulator of porcelain insulator can not occur.The eighties in 20th century, China experts and scholars have launched the research and development to composite insulator on the basis of drawing external experience, and mid-term, sample dropped into trial run the latter stage eighties.At the beginning of the nineties, pollution flashover accident appears in various places in succession, because anti-pollution characteristic is good, composite insulator is dropped into hangs the net use.To the end of the year 1994, the composite insulator of hanging net operation reaches 50,000.Since then, composite insulator networking quantity rapidly increases: nineteen ninety-five is 100,000, and 1998 is 460,000, and calendar year 2001 is 1,600,000, and hanging net operation had reached 3,000,000 in 2005.By in Dec, 2010, the 66kV of State Grid Corporation of China's administration and above electric pressure circuit account for electric pressure circuit all types of the same race at 37.02% of fortune insulator number at fortune composite insulator number.
From present ruuning situation, the operational reliability of composite insulator is better than porcelain insulator and glass insulator.But along with the increase of the operation time limit, umbrella cover material embrittlement, sclerosis, efflorescence, cracking, plug expose, and partial discharge phenomenon appears in insulating surface, and hydrophobicity performance problem such as weakens and highlights gradually.Insulator not only will play insulating effect to electrical equipment or conductor, also will play the fixed suspension effect, and the insulator of deterioration will threaten the safe operation of electrical network.
Experts and scholars have launched big quantity research to the detection method of insulator both at home and abroad; Existing composite insulator detection method has contact, contactless; Wherein the contact detection method comprises voltage distribution, short circuit fork method, sparking distance method, photo-electric test rod method, sound pulse detection method, Leakage Current mensuration, and the non-contact detection method comprises ultrasonic Detection Method, laser-Doppler vibratory drilling method, infrared measurement of temperature method, corona video camera method, sonic detection and radiowave detection method.The contact detection method needs manual work to step on the tower operation, is not suitable for on-the-spot the detection.Most methods are only obvious to fault detect effects a certain or a few kinds in the non-contact detection method, but the fault of other types is difficult to detect, and equipment needed thereby is expensive, and it is not very desirable detecting effect.
The external insulation material of composite insulator is to be main with silicon rubber, because silastic material has hydrophobic nature, so composite insulator has hydrophobic nature and migration of hydrophobicity, has good anti-fouling flashover performance.Yet the anti-fouling flashover performance of composite insulator can change along with the change of its hydrophobicity performance, and hydrophobic nature receives the influence of the surrounding environment and the operation time limit, therefore will carry out hydrophobic nature to the composite insulator of different running statuses and detect.The method that hydrophobic nature is measured is main: contact horn cupping, water spray stage method, hydrophobic nature indicator function method.The measuring accuracy of contact horn cupping is the highest, but can only carry out in the laboratory, is not suitable for on-the-spot the detection.The operation of water spray stage method fast, simply also is not suitable for on-the-spot the detection.Hydrophobic nature indicator function method is a research focus in recent years, utilizes digital image processing techniques to judge the composite insulator hydrophobic nature, and execute-in-place is simple, and post-processed is complicated, also is in conceptual phase at present.In sum, existing composite insulator hydrophobic nature detection method only is adapted at the laboratory mostly carries out, and is not suitable for on-the-spot charged detection, and the hydrophobic nature of composite insulator detects and lacks suitable in-situ check and test method and device.
The bibliographical information of relevant this respect for example application number is the utility model patent of the charged detector of liquid crystal graphic presentation high voltage composite insulators by name of 200520006400.X; A kind of device of charged detection high voltage composite insulators defective is disclosed, can identification tape reply to come to nothing in conductive defect, the inside of closing insulator by cable and the compound inslation substring in low null value insulation.Yet above-mentioned patent does not relate to the on-the-spot detection method that detects the hydrophobic nature of composite insulator.
In view of this, be necessary to provide a kind of composite insulator hydrophobic nature detection method based on high spectrum, can the on-the-spot hydrophobic nature that detects composite insulator, needn't dismantle composite insulator.
Summary of the invention
Technical matters to be solved by this invention is: to the deficiency of prior art existence; The method that provides a kind of composite insulator hydrophobic nature to detect; The hydrophobicity performance that can be used for composite insulator in the detection line is if the hydrophobic nature forfeiture then should in time be changed composite insulator.
The technical scheme that the present invention adopted is: a kind of composite insulator hydrophobic nature detection method based on high spectrum, it is characterized in that, and may further comprise the steps:
1) obtains the Hyperspectral imaging of composite insulator before the water spray: to composite insulator imaging original before spraying water, obtain the Hyperspectral imaging of composite insulator before the water spray with hyperspectral imager;
2) water spray: utilize aircraft that composite insulator is sprayed water;
3) obtain the Hyperspectral imaging of water spray back composite insulator:, obtain the Hyperspectral imaging of water spray back composite insulator with the composite insulator imaging of hyperspectral imager after to water spray;
4) spectral signature of the extraction globule, water mark: its step comprises pre-service, change-detection, edge extracting, extraction characteristic;
5) judge hydrophobicity rank: the composite insulator of selection standard hydrophobic nature classification grade HC1 ~ 7 grades; Extract the globule of standard grading, the characteristic of water mark; Obtain the spectral signature classification of HC1 ~ 7 grade correspondence; Standard grading according to spectral signature is classified to the globule, the water mark characteristic of target composite insulator, and the hydrophobicity rank of target composite insulator belongs to and its globule, the most similar grade scale of water mark characteristic, thereby judges the hydrophobicity rank of target composite insulator.
Aforesaid composite insulator hydrophobic nature detection method based on high spectrum; It is characterized in that; Pre-service comprises respectively the composite insulator Hyperspectral imaging behind the composite insulator Hyperspectral imaging before spraying water and the water spray is carried out pre-service in the step 4), comprises geometry correction, filtering and noise reduction, radiant correction.
Aforesaid composite insulator hydrophobic nature detection method based on high spectrum; It is characterized in that change-detection is that the different spectrum characteristic is carried out change-detection on the image of utilization water spray front and back in the step 4), relatively the curve of spectrum of composite insulator same position cluster parachute before and after the water spray; Define under the anhydrous water situation; The wave band that curve of spectrum difference is maximum carries out difference with the image before and after this wave band water spray and calculates, and generates gray-scale map.
Aforesaid composite insulator hydrophobic nature detection method based on high spectrum; It is characterized in that the method for edge extracting is in the step 4): gray-scale map is carried out edge extracting with the Canny operator, level and smooth with Gaussian filter; Use the edge of 4 mask detection levels, vertical and diagonal; The direction of each some brightness gradient map and brightness step in the generation image is carried out non-maximum value to gradient magnitude and is suppressed, and detects and adjoining edge with the dual threshold algorithm.
The invention has the beneficial effects as follows: common hydrophobic nature mensuration all can only carry out in the laboratory, and the hydrophobic nature that the present invention can on-the-spot online detection composite insulator needn't be dismantled composite insulator; The hydrophobic nature classification of composite insulator has reduced the error that subjectivity is brought by computer-made decision rather than people.
Description of drawings
Fig. 1 is the technology path figure based on the composite insulator hydrophobic nature detection method of high spectrum of the embodiment of the invention.
Fig. 2 is for obtaining the enforcement block diagram of the preceding composite insulator Hyperspectral imaging of water spray among Fig. 1.
Fig. 3 is for obtaining the enforcement block diagram of water spray back composite insulator Hyperspectral imaging among Fig. 1.
Fig. 4 is for extracting the method block diagram of the globule, water mark spectral signature among Fig. 1.
Fig. 5 is the composite insulator hydrophobic nature detection method hydrophobicity rank decision flowchart based on high spectrum of the embodiment of the invention.
Embodiment
In order to understand the present invention better, further illustrate content of the present invention below in conjunction with embodiment, but content of the present invention not only is confined to following embodiment.Those skilled in the art can do various changes or modification to the present invention, and these equivalent form of values are equally within the listed claims limited range of the application.
Description of symbols in the accompanying drawing: 1-obtains the Hyperspectral imaging before the water spray, and 2-obtains the Hyperspectral imaging behind the water spray, and 3-extracts the globule, water mark characteristic, and 4-judges hydrophobicity rank; 1.1-composite insulator, 1.2-hyperspectral imager, the composite insulator Hyperspectral imaging before the 1.3-water spray; 2.1-aircraft, the Hyperspectral imaging of 2.2-water spray back composite insulator, 3.1-pre-service; 3.2-change-detection, the 3.3-edge extracting, 3.4-extracts characteristic; 4.1-the characteristic of the target composite insulator globule, water mark, the composite insulator of 4.2-standard hydrophobic nature classification grade HC1 ~ 7 grades, 4.3-extracts the globule of standard grading, the characteristic of water mark; 4.4-HC1 the spectral signature classification of ~ 7 grades of correspondences, the 4.5-classification, 4.6-judges the hydrophobicity rank of target composite insulator.
Principle of work of the present invention: water can demonstrate different state in the different compound inslation sub-surface of hydrophobicity rank, at the good compound inslation sub-surface of hydrophobicity performance, the clear-cut of the globule; In the compound inslation sub-surface of hydrophobicity performance difference, globule out-of-shape, soft edge, or join together.When obtaining the compound inslation sub-image with general camera, in the time of will having the image of the globule to import computing machine again, because equipment, factor affecting such as artificial, picture quality is not high.The globule transparency is high, and the globule maybe be less with the gray scale difference of composite insulator background on the image that general camera is taken out, and the globule can be fuzzy relatively to a side of light, causes not reaching good globule recognition effect.What hyperspectral imager obtained is the spectral information of compound inslation sub-surface; The spectral reflectivity of water and organic material is different; Therefore, the compound inslation sub-surface has water different with the radiation information that there is not the water two states, can analyze the water mark situation of compound inslation sub-surface with Hyperspectral imaging.Simultaneously, the distribution situation of composite insulator surface water can show on Hyperspectral imaging, judges the distribution situation of the globule, water mark according to textural characteristics, thereby confirms the hydrophobicity rank of composite insulator.
Fig. 1 is a techniqueflow chart of the present invention; At first will be with hyperspectral imager to composite insulator imaging original before spraying water; Obtain the image 1 before the water spray, water spray obtains the image 2 behind the water spray rapidly; Extract the spectral signature 3 of the globule, water mark then, last and standard grading is relatively confirmed the hydrophobicity rank of former composite insulator.
Composite insulator hydrophobic nature detection technique based on high spectrum provided by the invention at first directly forms images to composite insulator with hyperspectral imager, obtains the Hyperspectral imaging of the composite insulator of not spraying water.Obtain water spray back composite insulator Hyperspectral imaging then, it is as shown in Figure 3 to implement block diagram.After utilizing 2.1 pairs of composite insulators 1.1 of aircraft to spray water, form images with the composite insulator behind 1.2 pairs of water sprays of hyperspectral imager rapidly.In this process, need to guarantee the invariant position of water spray front and back hyperspectral imager, composite insulator.
Fig. 4 is for extracting the method for the globule, water mark spectral signature among Fig. 1.Respectively the composite insulator Hyperspectral imaging 2.2 behind composite insulator Hyperspectral imaging before spraying water 1.3 and the water spray is carried out pre-service, comprise geometry correction, denoising, radiant correction.Then, the different spectrum characteristic is carried out change-detection 3.2 on the image of utilization water spray front and back, and relatively the curve of spectrum of composite insulator same position cluster parachute before and after the water spray defines under the anhydrous water situation, the wave band of curve of spectrum difference maximum; Image before and after this wave band water spray is carried out difference calculate, generate gray-scale map.Then, gray-scale map is carried out edge extracting 3.3 with the Canny operator, level and smooth with Gaussian filter, use the edge of 4 mask detection levels, vertical and diagonal, generate the direction of each some brightness gradient map in the image and brightness step; Gradient magnitude is carried out non-maximum value suppress, detect and adjoining edge with the dual threshold algorithm.At last, extract the characteristic 3.4 of the globule, water mark, the present invention adopts existing form factor method to calculate the shape information of the globule, and form factor is shown below:
The present invention judges that the core concept of hydrophobicity rank is the standard composite insulator contrast with the composite insulator and the known hydrophobicity rank of unknown hydrophobicity rank;, as foundation the spectral signature of the globule, water mark on the composite insulator of unknown hydrophobicity rank is classified with the spectral signature of the globule, water mark on the composite insulator of standard hydrophobicity rank.
Fig. 5 is a hydrophobicity rank decision flowchart of the present invention.At first choose the standard composite insulator of known hydrophobicity rank, hydrophobicity rank has HC1 ~ 7 grade, and the standard composite insulator of choosing has 7.Obtain the image of the composite insulator of standard class with hyperspectral imager, extract the spectral signature of the globule on it, water mark then.Its process is similar to the treatment scheme of Fig. 4, first pre-service, and edge extracting extracts the globule of standard grading, the spectral signature of water mark more then, obtains the spectral signature classification of HC1 ~ 7 grade correspondence.Standard grading according to spectral signature is classified to the globule, the water mark characteristic of target composite insulator, and the hydrophobicity rank of target composite insulator belongs to and its globule, the most similar grade scale of water mark characteristic.
The content of not doing in this instructions to describe in detail belongs to this area professional and technical personnel's known prior art.
Claims (4)
1. the composite insulator hydrophobic nature detection method based on high spectrum is characterized in that, may further comprise the steps:
1) obtains the Hyperspectral imaging of composite insulator before the water spray: to composite insulator imaging original before spraying water, obtain the Hyperspectral imaging of composite insulator before the water spray with hyperspectral imager;
2) water spray: utilize aircraft that composite insulator is sprayed water;
3) obtain the Hyperspectral imaging of water spray back composite insulator:, obtain the Hyperspectral imaging of water spray back composite insulator with the composite insulator imaging of hyperspectral imager after to water spray;
4) spectral signature of the extraction globule, water mark: its step comprises pre-service, change-detection, edge extracting, extraction characteristic;
5) judge hydrophobicity rank: the composite insulator of selection standard hydrophobic nature classification grade HC1 ~ 7 grades; Extract the globule of standard grading, the characteristic of water mark; Obtain the spectral signature classification of HC1 ~ 7 grade correspondence; Standard grading according to spectral signature is classified to the globule, the water mark characteristic of target composite insulator, and the hydrophobicity rank of target composite insulator belongs to and its globule, the most similar grade scale of water mark characteristic, thereby judges the hydrophobicity rank of target composite insulator.
2. the composite insulator hydrophobic nature detection method based on high spectrum according to claim 1; It is characterized in that; Pre-service comprises respectively the composite insulator Hyperspectral imaging behind the composite insulator Hyperspectral imaging before spraying water and the water spray is carried out pre-service in the step 4), comprises geometry correction, filtering and noise reduction, radiant correction.
3. the composite insulator hydrophobic nature detection method based on high spectrum according to claim 2; It is characterized in that change-detection is that the different spectrum characteristic is carried out change-detection on the image of utilization water spray front and back in the step 4), relatively the curve of spectrum of composite insulator same position cluster parachute before and after the water spray; Define under the anhydrous water situation; The wave band that curve of spectrum difference is maximum carries out difference with the image before and after this wave band water spray and calculates, and generates gray-scale map.
4. the composite insulator hydrophobic nature detection method based on high spectrum according to claim 3; It is characterized in that the method for edge extracting is in the step 4): gray-scale map is carried out edge extracting with the Canny operator, level and smooth with Gaussian filter; Use the edge of 4 mask detection levels, vertical and diagonal; The direction of each some brightness gradient map and brightness step in the generation image is carried out non-maximum value to gradient magnitude and is suppressed, and detects and adjoining edge with the dual threshold algorithm.
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102980838A (en) * | 2012-12-19 | 2013-03-20 | 航天科工深圳（集团）有限公司 | Method for detecting hydrophobicity of insulator |
| CN103473557A (en) * | 2013-09-02 | 2013-12-25 | 杭州电子科技大学 | Spatial-spectral integrated hyperspectral remote sensing image classification method |
| CN106525663A (en) * | 2016-12-15 | 2017-03-22 | 国网河南省电力公司检修公司 | Composite insulator and vulcanized silicone rubber hydrophobicity detector based on multi-rotor unmanned aerial vehicle |
| CN106546511A (en) * | 2016-11-25 | 2017-03-29 | 国网河南省电力公司漯河供电公司 | Transmission line of electricity sulphurated siliastic coating method for detecting hydrophobic |
| CN107219854A (en) * | 2017-07-19 | 2017-09-29 | 国家电网公司 | A kind of insulator hydrophobicity detection means and method based on unmanned plane |
| CN107464233A (en) * | 2017-07-19 | 2017-12-12 | 国家电网公司 | The image detecting method and system of composite insulator based on Lab color modes |
| CN109060606A (en) * | 2018-09-30 | 2018-12-21 | 国网河南省电力公司濮阳供电公司 | A kind of Hydrophobicity of Composite Insulator grade intelligent decision method |
| CN110907450A (en) * | 2019-11-18 | 2020-03-24 | 国家电网有限公司 | Influence factor of hydrophobicity of composite insulator and correction method |
| CN111696060A (en) * | 2020-06-08 | 2020-09-22 | 国网新疆电力有限公司乌鲁木齐供电公司 | Method and system for online monitoring hydrophobicity of composite insulator |
| CN113798244A (en) * | 2021-09-07 | 2021-12-17 | 山东建筑大学 | Water spraying effect detection device, transformer substation water washing robot and method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050034892A1 (en) * | 2003-08-14 | 2005-02-17 | Philips Andrew J. | Chemically-doped composite insulator for early detection of potential failures due to exposure of the fiberglass rod |
| US20050269127A1 (en) * | 2003-08-14 | 2005-12-08 | Mitchell Joseph N | Indicators for early detection of potential failures due to water exposure of polymer-clad fiberglass |
| CN102053046A (en) * | 2010-11-02 | 2011-05-11 | 武汉大学 | System and method for detecting hydrophilic angle on surface of composite insulator |
-
2011
- 2011-12-15 CN CN2011104195823A patent/CN102519846B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20050034892A1 (en) * | 2003-08-14 | 2005-02-17 | Philips Andrew J. | Chemically-doped composite insulator for early detection of potential failures due to exposure of the fiberglass rod |
| US20050269127A1 (en) * | 2003-08-14 | 2005-12-08 | Mitchell Joseph N | Indicators for early detection of potential failures due to water exposure of polymer-clad fiberglass |
| CN102053046A (en) * | 2010-11-02 | 2011-05-11 | 武汉大学 | System and method for detecting hydrophilic angle on surface of composite insulator |
Non-Patent Citations (4)
| Title |
|---|
| M.BERG, ET AL.: "Hydrophobicity Estimation of HV Polymeric Insulating Materials Development of a Digital Image Processing Method", 《IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION》, vol. 8, no. 6, 31 December 2001 (2001-12-31), pages 1098 - 1107 * |
| 宋伟 等: "复合绝缘子在线检测技术的发展", 《高压电技术》, vol. 31, no. 5, 31 May 2005 (2005-05-31), pages 28 - 30 * |
| 董文婷: "边缘检测方法在憎水性图像分析中的应用研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 10, 15 October 2009 (2009-10-15), pages 138 - 501 * |
| 黄晓明: "基于图像分析技术的复合绝缘子憎水性判断方法研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》, no. 2, 15 February 2009 (2009-02-15), pages 042 - 8 * |
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102980838A (en) * | 2012-12-19 | 2013-03-20 | 航天科工深圳（集团）有限公司 | Method for detecting hydrophobicity of insulator |
| CN102980838B (en) * | 2012-12-19 | 2015-06-17 | 航天科工深圳（集团）有限公司 | Method for detecting hydrophobicity of insulator |
| CN103473557A (en) * | 2013-09-02 | 2013-12-25 | 杭州电子科技大学 | Spatial-spectral integrated hyperspectral remote sensing image classification method |
| CN106546511A (en) * | 2016-11-25 | 2017-03-29 | 国网河南省电力公司漯河供电公司 | Transmission line of electricity sulphurated siliastic coating method for detecting hydrophobic |
| CN106546511B (en) * | 2016-11-25 | 2022-04-05 | 国网河南省电力公司漯河供电公司 | Hydrophobicity detection method for vulcanized silicone rubber coating of power transmission line |
| CN106525663A (en) * | 2016-12-15 | 2017-03-22 | 国网河南省电力公司检修公司 | Composite insulator and vulcanized silicone rubber hydrophobicity detector based on multi-rotor unmanned aerial vehicle |
| CN107464233A (en) * | 2017-07-19 | 2017-12-12 | 国家电网公司 | The image detecting method and system of composite insulator based on Lab color modes |
| CN107464233B (en) * | 2017-07-19 | 2021-11-05 | 国家电网公司 | Composite insulator image detection method and system based on Lab color mode |
| CN107219854A (en) * | 2017-07-19 | 2017-09-29 | 国家电网公司 | A kind of insulator hydrophobicity detection means and method based on unmanned plane |
| CN109060606A (en) * | 2018-09-30 | 2018-12-21 | 国网河南省电力公司濮阳供电公司 | A kind of Hydrophobicity of Composite Insulator grade intelligent decision method |
| CN110907450A (en) * | 2019-11-18 | 2020-03-24 | 国家电网有限公司 | Influence factor of hydrophobicity of composite insulator and correction method |
| CN111696060A (en) * | 2020-06-08 | 2020-09-22 | 国网新疆电力有限公司乌鲁木齐供电公司 | Method and system for online monitoring hydrophobicity of composite insulator |
| CN113798244A (en) * | 2021-09-07 | 2021-12-17 | 山东建筑大学 | Water spraying effect detection device, transformer substation water washing robot and method |
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