CN108181560A - A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method - Google Patents
A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method Download PDFInfo
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- CN108181560A CN108181560A CN201810046225.9A CN201810046225A CN108181560A CN 108181560 A CN108181560 A CN 108181560A CN 201810046225 A CN201810046225 A CN 201810046225A CN 108181560 A CN108181560 A CN 108181560A
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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
- G01R31/1227—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 of components, parts or materials
- G01R31/1263—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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—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 of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
-
- 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
- G01R31/1218—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 using optical methods; using charged particle, e.g. electron, beams or X-rays
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Processing (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The present invention provides a kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method, utilize image collecting device, high-tension cable shelf depreciation pattern to be measured is identified in central processing unit and memory, the image information of image acquisition device high-tension cable shelf depreciation to be measured, central processing unit will be compared by the standard picture in image processing apparatus treated image and memory, then comparison result is shown using display, to identify the shelf depreciation pattern of the high-tension cable, 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 fields more particularly to a kind of high voltage cable insulation defect Partial Discharge Detection to examine
Disconnected method.
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 high-tension cable 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 high-tension cable shelf depreciation pattern.Invention content
Therefore, in order to overcome the above problem, the present invention provides a kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method,
High-tension cable shelf depreciation pattern to be measured is identified using image collecting device, central processing unit and memory, image
Harvester acquires the image information of high-tension cable shelf depreciation to be measured, and central processing unit will be after image processing apparatus be handled
Image and memory in standard picture be compared, to identify the shelf depreciation pattern of high-tension cable to be measured.
A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method according to the present invention uses high-tension cable part
High-tension cable shelf depreciation pattern to be measured is identified in discharging detecting system, the high-tension cable partial discharge detecting system packet
Include ultraviolet lens, image collecting device, image processing apparatus, central processing unit, memory and display, the high-tension cable
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
State memory to be sequentially connected, the high-tension cable to be measured connected with the ultraviolet lens, by the display and it is described in
Central processor connect, then by the gap electric discharge of the high-tension cable to be measured, creeping discharge, floating potentical body electric discharge, bubble electric discharge,
Free metal particle discharges and the standard picture of point discharge is stored in the memory；
S2：The ultraviolet image of the high-tension cable 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 high-tension cable to be measured
Power mode shows the shelf depreciation pattern of high-tension cable to be measured by display.
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）Figure is used in high voltage cable insulation defect Partial Discharge Detection diagnostic method provided by the invention based on image comparison
As harvester is acquired high-tension cable shelf depreciation image to be measured, then with each quasi-mode of shelf depreciation in memory
Standard picture information is compared the pattern to judge high-tension cable shelf depreciation to be measured, can be to high-tension cable shelf depreciation to be measured
Pattern effectively identified；
（2）In high voltage cable insulation defect Partial Discharge Detection diagnostic method provided by the invention based on image comparison, image
Processing unit carries out image enhancement, image denoising, image filtering, picture smooth treatment to the image of acquisition, can efficiently, quickly
The image information of high-tension cable shelf depreciation to be measured is extracted, the essence of the identification to high-tension cable shelf depreciation pattern to be measured can be improved
Degree, efficiently reduces erroneous judgement and happens.
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 high-tension cable 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
With reference to the accompanying drawings and examples to the present invention high voltage cable insulation defect Partial Discharge Detection diagnostic method into
Row is described in detail.
As shown in Figure 1, the present invention provides a kind of high-tension cable partial discharge detecting system, using image collecting device, in
High-tension cable shelf depreciation pattern to be measured is identified in centre processing unit and memory, image acquisition device high pressure to be measured
The image information of cable local discharge, central processing unit will be by the marks in image processing apparatus treated image and memory
Quasi- image is compared, and to identify the shelf depreciation pattern of the high-tension cable to be measured, and passes through display and shows comparison result.
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.
High-tension cable PD Pattern Recognition system include ultraviolet lens, image collecting device, image processing apparatus,
Central processing unit, memory and display, wherein, ultraviolet lens, image collecting device, image processing apparatus, central processing
Device and memory are sequentially connected, and high-tension cable to be measured is connected with ultraviolet lens, and display is connected with central processing unit；
The image that image enhancement processing module acquires described image harvester carries out image enhancement processing, obtains image enhancement
Image afterwards；
The enhanced image of described image is carried out denoising by image denoising processing module, obtains the image after image denoising；
Image after described image denoising is filtered by image filtering processing module, obtains the image after filtering process；
Picture smooth treatment module is smoothed the image after the filtering process, obtains the image after smoothing processing；
Memory is stored with the gap electric discharge of high-tension cable, creeping discharge, floating potentical body electric discharge, bubble electric discharge, free metal
Particle discharges and the standard picture of point discharge；For image transmitting after smoothing processing to central processing unit, central processing unit will be flat
Standard picture in sliding treated image and memory is compared, to identify the shelf depreciation pattern of high-tension cable to be measured,
The shelf depreciation pattern of high-tension cable to be measured is shown by display.
Specifically, image collector is set to ccd image acquisition sensor or 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 described image denoising is filtered by image filtering processing module, specific image
Filter 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 the 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 high-tension cable 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, will be treated
It surveys high-tension cable to connect with ultraviolet lens, display be connected with central processing unit, then the gap of high-tension cable to be measured is put
Electricity, creeping discharge, floating potentical body electric discharge, bubble electric discharge, the electric discharge of free metal particle and the standard picture storage of point discharge
In memory；
S2：Acquire the ultraviolet image of high-tension cable 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, and to identify the shelf depreciation pattern of high-tension cable to be measured, height to be measured is shown by display
The shelf depreciation pattern of voltage cable.
Specifically, 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,
。
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)
1. a kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method, which is characterized in that locally put using high-tension cable
High-tension cable shelf depreciation pattern to be measured is identified in electricity detecting system, and the high-tension cable partial discharge detecting system includes
Ultraviolet lens, image collecting device, image processing apparatus, central processing unit, memory and display, the high-tension cable office
Portion's On-line 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
State memory to be sequentially connected, the high-tension cable to be measured connected with the ultraviolet lens, by the display and it is described in
Central processor connect, then by the gap electric discharge of the high-tension cable to be measured, creeping discharge, floating potentical body electric discharge, bubble electric discharge,
Free metal particle discharges and the standard picture of point discharge is stored in the memory；
S2：The ultraviolet image of the high-tension cable 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 high-tension cable to be measured
Power mode shows the shelf depreciation pattern of high-tension cable to be measured by display.
2. high voltage cable insulation defect Partial Discharge Detection diagnostic method according to claim 1, which is characterized in that described
Image collector is set to ultraviolet-cameras.
3. high voltage cable insulation defect Partial Discharge Detection diagnostic method according to claim 1, which is characterized in that in institute
It states in step S3, described image processing unit carries out the ultraviolet image in image enhancement processing, image denoising processing, figure successively
As filtering process 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,
。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810046225.9A CN108181560A (en) | 2018-01-17 | 2018-01-17 | A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201810046225.9A CN108181560A (en) | 2018-01-17 | 2018-01-17 | A kind of high voltage cable insulation defect Partial Discharge Detection diagnostic method |
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| CN108181560A true CN108181560A (en) | 2018-06-19 |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108803516A (en) * | 2018-06-22 | 2018-11-13 | 李燕汝 | A kind of automatic intelligent appliance control system based on Internet of Things |
| CN108958146A (en) * | 2018-07-27 | 2018-12-07 | 中铁七局集团电务工程有限公司 | A kind of building safety performance monitoring device |
| CN110118919A (en) * | 2019-06-25 | 2019-08-13 | 武汉伏佳安达电气技术有限公司 | A kind of denoising of high voltage power cable local discharge signal and extracting method |
| CN110161386A (en) * | 2019-05-06 | 2019-08-23 | 贵州电网有限责任公司 | A kind of portable high-pressure cable connector local discharge detection device and method |
| CN110895249A (en) * | 2019-11-26 | 2020-03-20 | 广州供电局有限公司 | Cable joint identification system and method |
| CN111175624A (en) * | 2020-01-16 | 2020-05-19 | 国网河南省电力公司检修公司 | Insulator discharge detection device |
| CN113109675A (en) * | 2021-04-12 | 2021-07-13 | 西北核技术研究所 | Image diagnosis device and method for insulation stack vacuum surface flashover |
| CN114167183A (en) * | 2021-12-06 | 2022-03-11 | 国网山东省电力公司汶上县供电公司 | High-voltage cable early warning system and method |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108803516A (en) * | 2018-06-22 | 2018-11-13 | 李燕汝 | A kind of automatic intelligent appliance control system based on Internet of Things |
| CN108958146A (en) * | 2018-07-27 | 2018-12-07 | 中铁七局集团电务工程有限公司 | A kind of building safety performance monitoring device |
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| CN113109675A (en) * | 2021-04-12 | 2021-07-13 | 西北核技术研究所 | Image diagnosis device and method for insulation stack vacuum surface flashover |
| CN114167183A (en) * | 2021-12-06 | 2022-03-11 | 国网山东省电力公司汶上县供电公司 | High-voltage cable early warning system and method |
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Application publication date: 20180619 |