CN108226727A - A kind of power equipment partial discharge monitoring method - Google Patents
A kind of power equipment partial discharge monitoring method Download PDFInfo
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- CN108226727A CN108226727A CN201810046016.4A CN201810046016A CN108226727A CN 108226727 A CN108226727 A CN 108226727A CN 201810046016 A CN201810046016 A CN 201810046016A CN 108226727 A CN108226727 A CN 108226727A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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Abstract
The present invention provides a kind of power equipment partial discharge monitoring method, utilize image collecting device, power equipment shelf depreciation pattern to be measured is identified in central processing unit and memory, the image information of image acquisition device power equipment shelf depreciation to be measured, central processing unit will be compared by the standard picture in image processing apparatus treated image and memory, to identify the shelf depreciation pattern of the power equipment, wherein, image processing apparatus includes image enhancement processing module, image denoising processing module, image filtering processing module and picture smooth treatment module, image enhancement processing module, image filtering processing module, image denoising processing module and picture smooth treatment module are sequentially connected.
Description
Technical field
The present invention relates to power equipment testing field more particularly to a kind of power equipment partial discharge monitoring methods.
Background technology
With the development of the society, electric system is also rapidly developing, network voltage grade is higher and higher, and coverage area is more next
Wider, the safe and reliable operation of power equipment is also more and more important, since power equipment is generally all in outdoor, inevitably
Phenomena such as insulation damages, aging can be generated, shelf depreciation can also generate therewith.Shelf depreciation can be accelerated to Electric Power Equipment Insulation
Damage reduces insulation life, seriously affects the safe operation of equipment.
At present, the detection of power equipment shelf depreciation still carries out shelf depreciation by ocular estimate and combines existing experience
Carrying out shelf depreciation pattern, this method has certain subjectivity, lack scientific and accuracy, while efficiency is low, because
This, it would be desirable to a kind of more effectively method realizes power equipment shelf depreciation pattern.
Invention content
Therefore, in order to overcome the above problem, the present invention provides a kind of power equipment partial discharge monitoring method, utilizes
Power equipment shelf depreciation pattern to be measured is identified in image collecting device, central processing unit and memory, Image Acquisition
Device acquires the image information of power equipment shelf depreciation to be measured, and central processing unit will pass through image processing apparatus treated figure
Standard picture in picture and memory is compared, to identify the shelf depreciation pattern of the power equipment.
A kind of power equipment partial discharge monitoring method according to the present invention, uses power equipment Partial Discharge Detection
Power equipment shelf depreciation pattern to be measured is identified in system, and the power equipment partial discharge detecting system includes ultraviolet light
Camera lens, image collecting device, image processing apparatus, central processing unit and memory, the power equipment shelf depreciation are supervised online
Survey method is specially following steps：
S1：By the ultraviolet lens, described image harvester, described image processing unit, the central processing unit and institute
It states memory to be sequentially connected, then the power equipment to be measured is connected with the ultraviolet lens, then the electric power to be measured is set
Standby gap electric discharge, creeping discharge, floating potentical body electric discharge and bubble electric discharge standard picture be stored in the memory；
S2：The ultraviolet image of the power equipment shelf depreciation to be measured is acquired by the ultraviolet lens, and will be collected
The ultraviolet image is transmitted to described image harvester, and the ultraviolet image is transmitted to described by described image harvester again
Image processing apparatus；
S3：Described image processing unit carries out the ultraviolet image image enhancement processing, image denoising processing, image filter successively
Wave processing and picture smooth treatment, finally obtain the image after smoothing processing；
S4：By the image transmitting after the smoothing processing to the central processing unit, the central processing unit is by the smooth place
The standard picture in image and the memory after reason is compared, and is put with the part for identifying the power equipment to be measured
Power mode.
Preferably, described image harvester is ultraviolet-cameras.
Preferably, in the step S3, described image processing unit carries out image enhancement successively to the ultraviolet image
Processing, image denoising processing, image filtering processing and picture smooth treatment the specific steps are：
S31：Image enhancement processing, specific image enhancement processing method are carried out to the image of described image harvester acquisition
For：
The image definition that described image harvester is acquired is two-dimensional function f (x, y), and wherein x, y is space coordinate, to figure
As f (x, y) progress image enhancement processings, the image p (x, y) after image enhancement is obtained, wherein,
, r is constant.
S32：To described image, enhanced image carries out denoising, and specific image denoising processing method is：
To described image, enhanced image p (x, y) carries out denoising, obtains the image g (x, y) after denoising, wherein,
。
S33：Image after described image denoising is filtered, specific image filtering processing method is：
To described image, enhanced image g (x, y) is filtered, and obtains the image h (x, y) after filtering process, wherein,
。
S34：Image after the filtering process is smoothed, specific picture smooth treatment method is：
Image h (x, y) after the filtering process is smoothed, obtains the image s (x, y) after smoothing processing, wherein,
。
Compared with prior art, the present invention has following advantageous effect：
（1）Image collector is used in power equipment partial discharge monitoring method provided by the invention based on image comparison
Put and power equipment shelf depreciation image to be measured be acquired, then with the standard picture of each quasi-mode of shelf depreciation in memory
Information is compared the pattern to judge power equipment shelf depreciation to be measured, can to the pattern of power equipment shelf depreciation to be measured into
Row effectively identification；
（2）In power equipment partial discharge monitoring method provided by the invention based on image comparison, image processing apparatus
Image enhancement, image denoising, image filtering, picture smooth treatment are carried out to the image of acquisition, can efficiently, quickly be extracted to be measured
The image information of power equipment shelf depreciation can improve the identification precision to power equipment shelf depreciation pattern to be measured, effectively
Erroneous judgement is reduced to happen.
Description of the drawings
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 is the power equipment partial discharge detecting system schematic diagram of the present invention；
Fig. 2 is the functional block diagram of the image processing apparatus of the present invention.
Specific embodiment
The power equipment partial discharge monitoring method of the present invention is carried out specifically with reference to the accompanying drawings and examples
It is bright.
As shown in Figure 1, the present invention provides a kind of power equipment partial discharge detecting system, using image collecting device, in
Power equipment shelf depreciation pattern to be measured is identified in centre processing unit and memory, image acquisition device electric power to be measured
The image information of apparatus local discharge, central processing unit will be by the marks in image processing apparatus treated image and memory
Quasi- image is compared, to identify the shelf depreciation pattern of the power equipment.
As shown in Fig. 2, image processing apparatus includes image enhancement processing module, image denoising processing module, image filtering
Processing module and picture smooth treatment module, image enhancement processing module, image filtering processing module, image denoising processing module
It is sequentially connected with picture smooth treatment module.
Power equipment partial discharge detecting system includes ultraviolet lens, image collecting device, image processing apparatus, center
Processor and memory, wherein, ultraviolet lens, image collecting device, image processing apparatus, central processing unit and memory according to
Secondary connection, power equipment to be measured are connected with ultraviolet lens.
Image processing apparatus include image enhancement processing module, image denoising processing module, image filtering processing module and
Picture smooth treatment module, image enhancement processing module, image filtering processing module, image denoising processing module and image smoothing
Processing module is sequentially connected.
The image of image acquisition device is carried out image enhancement processing by image enhancement processing module, obtains image enhancement
Image afterwards.
Image after image enhancement is carried out denoising by image denoising processing module, obtains the image after image denoising.
Image after image denoising is filtered by image filtering processing module, obtains the image after filtering process.
Picture smooth treatment module is smoothed the image after filtering process, obtains the image after smoothing processing.
Memory is stored with gap electric discharge, creeping discharge, floating potentical body electric discharge and the bubble electric discharge of power equipment to be measured
Standard picture；For image transmitting after smoothing processing to central processing unit, central processing unit is by the image after smoothing processing and deposits
Standard picture in reservoir is compared, to identify the shelf depreciation pattern of power equipment to be measured.
Specifically, image collector is set to ultraviolet-cameras.
Specifically, the image of image acquisition device is carried out image enhancement processing by image enhancement processing module, specifically
Image enhancement processing method be：
It is two-dimensional function f (x, y) by the image definition of image acquisition device, wherein x, y is space coordinate, to image f
(x, y) carries out image enhancement processing, obtains the image p (x, y) after image enhancement, wherein,
, r is constant.
Specifically, the image after image enhancement is carried out denoising, specific image denoising by image denoising processing module
Processing method is：
Denoising is carried out to the image p (x, y) after image enhancement, obtains the image g (x, y) after denoising, wherein,
。
Specifically, the image after image denoising is filtered by image filtering processing module, specific image filtering
Processing method is：
Image g (x, y) after image enhancement is filtered, obtains the image h (x, y) after filtering process, wherein,
。
Specifically, picture smooth treatment module is smoothed the image after filtering process, specific image smoothing
Processing method is：
Image h (x, y) after filtering process is smoothed, obtains the image s (x, y) after smoothing processing, wherein,
。
Specifically, when being detected using above-mentioned power equipment partial discharge detecting system, the specific steps are：
S1：Ultraviolet lens, image collecting device, image processing apparatus, central processing unit and memory are sequentially connected, then will
Power equipment to be measured is connected with ultraviolet lens, then the gap electric discharge, creeping discharge, floating potentical body of power equipment to be measured are put
The standard picture of electricity and bubble electric discharge is stored in memory；
S2：Acquire the ultraviolet image of power equipment shelf depreciation to be measured by ultraviolet lens, and by collected ultraviolet image
Image collecting device is transmitted to, ultraviolet image is transmitted to image processing apparatus by image collecting device again；
S3：Image processing apparatus ultraviolet image is carried out successively image enhancement processing, image denoising processing, image filtering processing and
Picture smooth treatment finally obtains the image after smoothing processing；
S4：By the image transmitting after smoothing processing to central processing unit, central processing unit is by the image after smoothing processing and storage
Standard picture in device is compared, to identify the shelf depreciation pattern of power equipment to be measured.
Specifically, in the step S3, image processing apparatus carries out image enhancement processing, image successively to ultraviolet image
Denoising, image filtering processing and picture smooth treatment the specific steps are：
S31：Image enhancement processing is carried out to the image of image acquisition device, specific image enhancement processing method is：
It is two-dimensional function f (x, y) by the image definition of image acquisition device, wherein x, y is space coordinate, to image f
(x, y) carries out image enhancement processing, obtains the image p (x, y) after image enhancement, wherein,
, r is constant.
S32：Denoising is carried out to the image after image enhancement, specific image denoising processing method is：
Denoising is carried out to the image p (x, y) after image enhancement, obtains the image g (x, y) after denoising, wherein,
。
S33：Image after image denoising is filtered, specific image filtering processing method is：
Image g (x, y) after image enhancement is filtered, obtains the image h (x, y) after filtering process, wherein,
。
S34：Image after filtering process is smoothed, specific picture smooth treatment method is：
Image h (x, y) after filtering process is smoothed, obtains the image s (x, y) after smoothing processing, wherein,
。
It should be noted last that the above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted.Although ginseng
The present invention is described in detail according to embodiment, it will be understood by those of ordinary skill in the art that, to the technical side of the present invention
Case is modified or replaced equivalently, and without departure from the spirit and scope of technical solution of the present invention, should all be covered in the present invention
Right in.
Claims (3)
- A kind of 1. power equipment partial discharge monitoring method, which is characterized in that use power equipment Partial Discharge Detection system Power equipment shelf depreciation pattern to be measured is identified in system, and the power equipment partial discharge detecting system includes ultraviolet light microscopic Head, image collecting device, image processing apparatus, central processing unit and memory, the power equipment partial discharge monitoring Method is specially following steps：S1：By the ultraviolet lens, described image harvester, described image processing unit, the central processing unit and institute It states memory to be sequentially connected, then the power equipment to be measured is connected with the ultraviolet lens, then the electric power to be measured is set Standby gap electric discharge, creeping discharge, floating potentical body electric discharge and bubble electric discharge standard picture be stored in the memory；S2：The ultraviolet image of the power equipment shelf depreciation to be measured is acquired by the ultraviolet lens, and will be collected The ultraviolet image is transmitted to described image harvester, and the ultraviolet image is transmitted to described by described image harvester again Image processing apparatus；S3：Described image processing unit carries out the ultraviolet image image enhancement processing, image denoising processing, image filter successively Wave processing and picture smooth treatment, finally obtain the image after smoothing processing；S4：By the image transmitting after the smoothing processing to the central processing unit, the central processing unit is by the smooth place The standard picture in image and the memory after reason is compared, and is put with the part for identifying the power equipment to be measured Power mode.
- 2. power equipment partial discharge monitoring method according to claim 1, which is characterized in that described image acquires Device is ultraviolet-cameras.
- 3. power equipment partial discharge monitoring method according to claim 1, which is characterized in that in the step S3 In, described image processing unit carries out the ultraviolet image image enhancement processing successively, image denoising is handled, at image filtering Reason and picture smooth treatment the specific steps are：S31：Image enhancement processing, specific image enhancement processing method are carried out to the image of described image harvester acquisition For：The image definition that described image harvester is acquired is two-dimensional function f (x, y), and wherein x, y is space coordinate, to figure As f (x, y) progress image enhancement processings, the image p (x, y) after image enhancement is obtained, wherein,, r is constant；S32：To described image, enhanced image carries out denoising, and specific image denoising processing method is：To described image, enhanced image p (x, y) carries out denoising, obtains the image g (x, y) after denoising, wherein,；S33：Image after described image denoising is filtered, specific image filtering processing method is：To described image, enhanced image g (x, y) is filtered, and obtains the image h (x, y) after filtering process, wherein,；S34：Image after the filtering process is smoothed, specific picture smooth treatment method is：Image h (x, y) after the filtering process is smoothed, obtains the image s (x, y) after smoothing processing, wherein,。
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810046016.4A CN108226727A (en) | 2018-01-17 | 2018-01-17 | A kind of power equipment partial discharge monitoring method |
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|---|---|---|---|
| CN201810046016.4A CN108226727A (en) | 2018-01-17 | 2018-01-17 | A kind of power equipment partial discharge monitoring method |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108645477A (en) * | 2018-08-27 | 2018-10-12 | 南京梵科智能科技有限公司 | A kind of reservoir level intelligent monitor system |
| CN108777166A (en) * | 2018-07-13 | 2018-11-09 | 冯文化 | A kind of domestic intelligent health monitoring systems |
| CN108910452A (en) * | 2018-07-14 | 2018-11-30 | 芜湖益浩昌智能设备有限公司 | A kind of transmission device with process defencive function |
| CN111402552A (en) * | 2020-04-22 | 2020-07-10 | 广东电网有限责任公司东莞供电局 | Power equipment monitoring and alarming system and method |
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| CN101551435A (en) * | 2009-05-15 | 2009-10-07 | 湖北省电力试验研究院 | Method for detecting corona discharging and device thereof |
| CN104297645A (en) * | 2014-09-30 | 2015-01-21 | 国家电网公司 | Electrical equipment external discharging ultraviolet detection and analysis method and device |
| CN104331701A (en) * | 2014-10-22 | 2015-02-04 | 国家电网公司 | Insulator external discharge mode identification method based on ultraviolet map |
| CN106556781A (en) * | 2016-11-10 | 2017-04-05 | 华乘电气科技（上海）股份有限公司 | Shelf depreciation defect image diagnostic method and system based on deep learning |
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2018
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Patent Citations (4)
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|---|---|---|---|---|
| CN101551435A (en) * | 2009-05-15 | 2009-10-07 | 湖北省电力试验研究院 | Method for detecting corona discharging and device thereof |
| CN104297645A (en) * | 2014-09-30 | 2015-01-21 | 国家电网公司 | Electrical equipment external discharging ultraviolet detection and analysis method and device |
| CN104331701A (en) * | 2014-10-22 | 2015-02-04 | 国家电网公司 | Insulator external discharge mode identification method based on ultraviolet map |
| CN106556781A (en) * | 2016-11-10 | 2017-04-05 | 华乘电气科技（上海）股份有限公司 | Shelf depreciation defect image diagnostic method and system based on deep learning |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108777166A (en) * | 2018-07-13 | 2018-11-09 | 冯文化 | A kind of domestic intelligent health monitoring systems |
| CN108910452A (en) * | 2018-07-14 | 2018-11-30 | 芜湖益浩昌智能设备有限公司 | A kind of transmission device with process defencive function |
| CN108645477A (en) * | 2018-08-27 | 2018-10-12 | 南京梵科智能科技有限公司 | A kind of reservoir level intelligent monitor system |
| CN111402552A (en) * | 2020-04-22 | 2020-07-10 | 广东电网有限责任公司东莞供电局 | Power equipment monitoring and alarming system and method |
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Application publication date: 20180629 |