CN107871320A - A kind of detecting system and method for insulating board heat ageing degree - Google Patents

A kind of detecting system and method for insulating board heat ageing degree Download PDF

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Publication number
CN107871320A
CN107871320A CN201711190221.XA CN201711190221A CN107871320A CN 107871320 A CN107871320 A CN 107871320A CN 201711190221 A CN201711190221 A CN 201711190221A CN 107871320 A CN107871320 A CN 107871320A
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China
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image
hole
insulating board
electron microscope
scanning electron
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来文青
罗汉武
孙广
陈文�
崔文亮
于春来
范胜国
张宏斌
王永强
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North China Electric Power University
Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd
East Inner Mongolia Electric Power Co Ltd
State Grid Eastern Inner Mongolia Power Co Ltd
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North China Electric Power University
Electric Power Research Institute of State Grid Heilongjiang Electric Power Co Ltd
State Grid Eastern Inner Mongolia Power Co Ltd
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Priority to CN201711190221.XA priority Critical patent/CN107871320A/en
Publication of CN107871320A publication Critical patent/CN107871320A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0004—Industrial image inspection
    • G06T7/0008—Industrial image inspection checking presence/absence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/12—Edge-based segmentation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
    • 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
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30164—Workpiece; Machine component

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  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geometry (AREA)
  • Quality & Reliability (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)

Abstract

The invention discloses a kind of detecting system and method for insulating board heat ageing degree.The detecting system includes：Image capture device, the image receiving apparatus being connected with described image collecting device, the analysis judge module being connected with described image receiving device, it is described to analyze judge module for detecting fiber width, hole area and the surface roughness of insulating board to judge the heat ageing degree of the insulating board and residual life.The influence of artificial subjective factor can be reduced using detecting system provided by the present invention and method, improves accuracy of detection.

Description

A kind of detecting system and method for insulating board heat ageing degree
Technical field
The present invention relates to Fault Diagnosis for Electrical Equipment technical field, more particularly to a kind of insulating board heat ageing degree Detecting system and method.
Background technology
Oil-immersed type transformer interior insulation mainly uses paper oil insulation, and its predominating insulation is insulating oil, insulating paper and cardboard Deng.Cardboard insulation is used as transformer insulated important component, determines the overall insulating properties of transformer, its act on protrusion and It is significant, but cardboard insulation is subject to impact damage and is difficult to recover, therefore to cardboard insulation protection with regard to particularly important.
As the development of cellulose microscopic theory and scope precision improve constantly, domestic and international worker starts from microcosmic angle Degree research insulating board aging and breakdown process, it is significant to improve insulating material properties to analyzing its agine mechaism for this.Adopt Can be straight with SEM (Scanning Electron Microscope, SEM) observation paperboard surface microscopic appearance See the quality and fiber destruction process of analysis cardboard, still, the processing of existing SEM image just for alloy, ground particle with And the research field such as insulator and specific Part Methods and algorithm, the heat ageing degree of insulating board and remaining longevity can not be obtained Life, and insulating board surface microscopic topographic is directly observed using SEM, had a great influence by artificial subjective factor, testing result is forbidden Really.
The content of the invention
It is an object of the invention to provide a kind of detecting system and method for insulation board heat ageing degree, to solve insulating board Heat ageing degree detecting precision it is low and influenceed the problem of big by artificial subjective factor.
To achieve the above object, the invention provides following scheme：
A kind of detecting system of insulating board heat ageing degree, including：Image capture device, with described image collecting device The image receiving apparatus being connected, the analysis judge module being connected with described image receiving device, the analysis judge module For detecting fiber width, hole area and the surface roughness of insulating board to judge the heat ageing journey of the insulating board Degree and residual life.
Optionally, the analysis judge module specifically includes：First detection unit, the second detection unit and the 3rd detection Unit；
First detection unit, second detection unit and the 3rd detection unit are separate, first inspection Unit is surveyed to be used to detect the fiber width；Second detection unit is used to detect described hole area；3rd detection Unit is used to detect the surface roughness.
Optionally, first detection unit specifically includes：
First small echo enhanson, for strengthening the scanning electron microscope image small echo, obtain small echo enhancing Image afterwards；
Second local adaptive threshold fuzziness subelement, for by the enhanced image local adaptive threshold of the small echo Segmentation, obtains binary image；
Optimize subelement, be less than the connected domain of presetted pixel point number in the binary image for deleting, obtain excellent Binary image after change；
Boundary Extraction subelement, for the binary image Boundary Extraction after the optimization, obtaining after extracting border Image；
Fiber width obtains subelement, for being detected to the graph line behind the extraction border, obtains the insulating paper The fiber width of plate.
Optionally, second detection unit specifically includes：
First detection sub-unit, it whether there is hole for detecting the scanning electron microscope image, obtain the first inspection Survey result；
Second small echo enhanson, if being expressed as the scanning electron microscope image for first testing result Hole be present, there will be the enhancing of the hole image wavelet of hole, obtain the enhanced hole image of small echo；
Second local adaptive threshold fuzziness subelement, for the enhanced hole image local of the small echo is adaptive Threshold segmentation, obtain binaryzation hole image；
Opening operation handles subelement, for binaryzation hole opening operation processing, obtaining the hole after opening operation Hole image；
Hole area obtains subelement, for according to the hole image zooming-out hole border after the opening operation, obtaining institute State hole area.
Optionally, the 3rd detection unit specifically includes：
Discrete acquisitions points obtain subelement, discrete are adopted for obtain on the scanning electron microscope image x directions Discrete sampling points in number of samples and y directions；
Three-dimensional mean value calculation subelement, for according to the discrete sampling points on the x directions and the y directions Discrete sampling points, the three-dimensional average value of the scanning electron microscope image is calculated；
Surface roughness meter operator unit, for obtaining the surface roughness according to the three-dimensional mean value calculation.
A kind of detection method of insulating board heat ageing degree, including：
The heat ageing degree of insulating board is obtained according to figure；The heat ageing degree is obtained according to figure by historical test data 's；
Obtain scanning electron microscope image；
Fiber width, hole area and the rough surface of insulating board are obtained according to the scanning electron microscope image Degree；
The polymerization of the insulating board is obtained according to the fiber width, described hole area and the surface roughness Degree；
By the degree of polymerization, the heat ageing degree of the insulating board is obtained according to figure according to the heat ageing degree.
Optionally, fiber width, the hole area that insulating board is obtained according to the scanning electron microscope image And surface roughness, specifically include：
The scanning electron microscope image small echo is strengthened, obtains the enhanced image of small echo；
By the enhanced image local adaptive threshold fuzziness of the small echo, binary image is obtained；
Delete the connected domain that presetted pixel point number is less than in the binary image, the binary picture after being optimized Picture；
To the binary image Boundary Extraction after the optimization, obtain extracting the image behind border；
Graph line behind the extraction border is detected, obtains the fiber width of the insulating board.
Optionally, fiber width, the hole area that insulating board is obtained according to the scanning electron microscope image And surface roughness, specifically include：
Detect the scanning electron microscope image and whether there is hole, obtain the first testing result；
If first testing result, which is expressed as the scanning electron microscope image, has hole, there will be the hole of hole Hole image wavelet enhancing, obtains the enhanced hole image of small echo；
By the enhanced hole image local adaptive threshold fuzziness of the small echo, binaryzation hole image is obtained；
To binaryzation hole opening operation processing, the hole image after opening operation is obtained；
According to the hole image zooming-out hole border after the opening operation, described hole area is obtained.
Optionally, fiber width, the hole area that insulating board is obtained according to the scanning electron microscope image And surface roughness, specifically include：
Obtain the discrete sampling on discrete sampling points and the y directions on the scanning electron microscope image x directions Points；
Counted according to the discrete sampling points on the x directions and the discrete sampling on the y directions, institute is calculated State the three-dimensional average value of scanning electron microscope image；
The surface roughness is obtained according to the three-dimensional mean value calculation.
According to specific embodiment provided by the invention, the invention discloses following technique effect：The invention provides one kind The detecting system and method for insulation board heat ageing degree, insulating board is obtained by automatic detection scanning electron microscope image Fiber width, hole area and surface roughness, so as to which automatic decision goes out the heat ageing degree of the insulating board, according to heat Degree of aging obtains the residual life of the insulating board, carries out observing insulating board surface microscopic topographic without artificial, so as to The influence of artificial subjective factor is reduced, improves accuracy of detection.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to institute in embodiment The accompanying drawing needed to use is briefly described, it should be apparent that, drawings in the following description are only some implementations of the present invention Example, for those of ordinary skill in the art, without having to pay creative labor, can also be according to these accompanying drawings Obtain other accompanying drawings.
Fig. 1 is detecting system structure chart provided by the present invention；
Fig. 2 is the foundation figure of insulating board heat ageing degree provided by the present invention；
Fig. 3 is detection method flow chart provided by the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.
It is an object of the invention to provide a kind of detecting system and method for insulating board heat ageing degree, to solve insulating paper The heat ageing degree detecting precision of plate is low and is influenceed the problem of big by artificial subjective factor.
In order to facilitate the understanding of the purposes, features and advantages of the present invention, it is below in conjunction with the accompanying drawings and specific real Applying mode, the present invention is further detailed explanation.
Research in terms of existing SEM image processing, has the following disadvantages：
1st, image procossing is inaccurate：Existing SEM image processing is ground just for alloy, ground particle and insulator etc. Field is studied carefully and specific Part Methods and algorithm, so far also without complete set for insulating board SEM image processing Specific method and system.
2nd, artificial subjective factor influences big：Most of research staff of insulating board SEM micro images is from SEM The direct observed result that image is drawn, do not analyse in depth statistical information in terms of SEM image processing further, intellectuality is not Foot, is had a great influence by artificial subjective factor.
3rd, cost is higher：Existing SEM image processing equipment or system, it is most of using general without special equipment Image processing equipment or system, and these equipment or system price are often higher.
Regarding to the issue above the shortcomings that, the invention provides a kind of detecting system of insulating board heat ageing degree and side Method, this method and system are directly perceived, reliable, suitable for the processing of insulating board SEM image, have larger practical implementation valency Value.
Fig. 1 is detecting system structure chart provided by the present invention, as shown in figure 1, a kind of insulating board heat ageing degree Detecting system, including：Image capture device 1, the image receiving apparatus 2 being connected with described image collecting device 1, with the figure As the analysis judge module 3 that receiving device 2 is connected, it is described analysis judge module be used for detect insulating board fiber width, Hole area and surface roughness are to judge the heat ageing degree of the insulating board and residual life.
The analysis judge module 3 specifically includes：First detection unit 3-1, the second detection unit 3-2 and the 3rd detection Unit 3-3；The first detection unit 3-1, the second detection unit 3-2 and the 3rd detection unit 3-3 are separate, institute The first detection unit 3-1 is stated to be used to detect the fiber width；The second detection unit 3-2 is used to detect described hole face Product；The 3rd detection unit 3-3 is used to detect the surface roughness.
Image capture device is carried out the SEM picture scannings after insulating board heat ageing by SEM, by setting Put electron gun voltage, electron beam spot size and focus on to adjust the display quality of SEM image, input an image into figure afterwards As receiving device；The SEM image that image capture device obtains is input in image receiving apparatus by image receiving apparatus, reads figure Irrelevant region is carried out as after cuts out the requirement for meeting further image procossing；First detection unit 3-1 carries out fiber width Extraction and calculating；Second detection unit 3-2 carries out the positioning and measurement of hole；Third algorithm detection unit 3-3 carries out fiber Surface roughness calculates；Analysis judge module will be drawn by the first detection unit, the second detection unit, the 3rd detection unit Data are analyzed, and then judge insulating board heat ageing degree and residual life.Fig. 2 is insulating paper provided by the present invention The foundation figure of plate heat ageing degree, as shown in Fig. 2 the curve changed over time according to fiber width and surface roughness releases paper The change of the plate degree of polymerization, insulating board heat ageing degree and residual life are drawn by the change of the degree of polymerization.
The first detection unit 3-1 is specifically included：First small echo enhanson, for the scanning electron microscopy Mirror image wavelet strengthens, and obtains the enhanced image of small echo；Second local adaptive threshold fuzziness subelement, for will be described small The enhanced image local adaptive threshold fuzziness of ripple, obtains binary image；Optimize subelement, for deleting the binaryzation The connected domain of presetted pixel point number, the binary image after being optimized are less than in image；Boundary Extraction subelement, for pair Binary image Boundary Extraction after the optimization, obtain extracting the image behind border；Fiber width obtain subelement, for pair Graph line detection behind the extraction border, obtains the fiber width of the insulating board.
The extraction of described the first algorithm detection unit progress fiber width and the method calculated are：
Step 1-1：Two layer scattering wavelet decompositions are carried out to image as morther wavelet using wavelet function sym4；In small wavelength-division Image setting pixel threshold ε after solution, to less than ε reinforced partlies, higher than ε partial reductions；After image enhaucament or decrease Each column element carries out one-dimensional discrete wavelet inverse transformation, then each row to converting the data obtained carries out one-dimensional discrete small echo inversion Change, obtain reconstructed image.
Step 1-2-1：M × N images are divided into m × n subgraph；Formula threshold value point is iterated to every width subgraph Cut：Obtain the maximum gradation value Z of each subgraphmaxWith minimum gradation value Zmin, initial threshold T0For (Zmax+Zmin)/2；TiWill figure As being divided into foreground and background, both average gray value Z are calculated1And Z2, wherein,Ask Go out new threshold value Ti+1=(Z1+Z2)/2, if TK=TK+1Then gained is gray threshold, otherwise continues iterative calculation and is terminated to satisfaction Condition TK=TK+1Untill；
Step 1-2-2：The threshold value T that step 1-2-1 is tried to achieveijCorresponding subgraph original position is stored in, each column is adjacent Interval is inserted between two values Individual numerical value expands row, and the insertion between adjacent two value that will often go is spaced Number expands row；In last row of gained matrix T1n, T2n... TmnOften row insertionIndividual value is Tin, 1≤i≤m's Count, similarly last column Tm1, Tm2... TmnEach column is insertedIndividual value is Tmj, 1≤j≤n number finally gives and artwork Number of pixels identical binary image.
Step 1-3：Deleted in the binary image BW1 that step 1-2-2 is obtained after image segmentation algorithm is handled all Connected domain having less than P pixel, produce another bianry image BW2.
Step 1-4：The gray threshold ε of image is set, the edge less than the threshold epsilon is not detected, Gauss is set The size of Filtering Template, obtain output image g (x, y)=Δ [Gσ(x, y) * f (x, y)], Δ expression formula isZero is obtained by the Gaussian template after Laplace's operation and input picture convolution Crosspoint, the edge using zero cross point as tested altimetric image.
Step 1-5：Accumulator array A (ρ, θ) by size for M × N one m × n of image setting, in storage image The number that certain straight line occurs；Each point (x, y) in image space is mapped to parameter according to ρ=xcos θ+ysin θ In a series of accumulator array A (ρ, θ) corresponding to space, corresponding accumulator is added 1, occurred corresponding to the image space of straight line In parameter space accumulator, the place for local maximum occur is a pair of (ρ, θ) parameters with line correspondences, so as to detect Straight line, measure the width of fiber.
The second detection unit 3-2 is specifically included：First detection sub-unit, for detecting the SEM Image whether there is hole, obtain the first testing result；Second small echo enhanson, if for the first testing result table It is shown as the scanning electron microscope image and hole is present, there will be the enhancing of the hole image wavelet of hole, obtains small echo enhancing Hole image afterwards；Second local adaptive threshold fuzziness subelement, for by the enhanced hole image local of the small echo Adaptive threshold fuzziness, obtain binaryzation hole image；Opening operation handles subelement, for opening the binaryzation hole image Calculation process, obtain the hole image after opening operation；Hole area obtains subelement, for according to the hole after the opening operation Image zooming-out hole border, obtain described hole area.
The positioning that described the second algorithm detection unit carries out hole is with measuring method：
Step 2-1：The place that staff voluntarily occurs hole to paperboard fibres is cut out.
Step 2-2：Small echo enhancing is carried out to the hole cut down with mitigating the local auto-adaptive threshold value point of blocky effect Cut, obtain bianry image.
Step 2-3：Use m1×n1Each pixel in structural element scan image, with each element in structural element with Its bianry image covered does with operation, if being all 1, the pixel is 1, is otherwise 0；Use m2×n2Structural element scan image In each pixel, the bianry image covered with each element in structural element with it does OR operation, if being all 0, the picture Element is 0, is otherwise 1.
Step 2-4：Bianry image matrix is scanned, is merged the region of interconnection, hole side is taken out in single connected domain Boundary.
The 3rd detection unit 3-3 is specifically included：Discrete acquisitions points obtain subelement, for obtaining the scanning electricity The discrete sampling points in discrete sampling points and y directions on sub- MIcrosope image x directions；Three-dimensional mean value calculation is single Member, for being counted according to the discrete sampling points on the x directions and the discrete sampling on the y directions, institute is calculated State the three-dimensional average value of scanning electron microscope image；Surface roughness meter operator unit, for according to the three-dimensional average value The surface roughness is calculated.
Described third algorithm detection unit carries out fiber surface roughness computational methods：
Step 3-1：It is respectively M and N to set the discrete sampling points of SEM image in the x and y direction；
Step 3-2：Calculate the three-dimensional average value of SEM image pixel
Step 3-3：The three-dimensional arithmetic average deviation of the SEM image pixel of computational representation surface roughness
The analysis judgment system is also connected with display device 4, the main fibre for showing the first detection unit 3-1 and being drawn Tie up the surface roughness value that width, the hole area that the second detection unit 3-2 is drawn, the 3rd detection unit 3-3 are drawn And the insulating board degree of aging and residual life that analysis judgment system is drawn, so as to intuitively see data above Numerical value.
Under the influence of by human factor, with low cost, it can not examined accurately using detecting system provided by the present invention Measure insulation board heat ageing degree.
Fig. 3 is detection method flow chart provided by the present invention, as shown in figure 3, a kind of insulating board heat ageing degree Detection method, including：
Step 301：The heat ageing degree of insulating board is obtained according to figure；The heat ageing degree is tested according to figure by history What data obtained.
Step 302：Obtain scanning electron microscope image.
Step 303：According to the scanning electron microscope image obtain the fiber width of insulating board, hole area and Surface roughness.
The step of fiber width for obtaining the insulating board is：
1) the scanning electron microscope image small echo is strengthened, obtains the enhanced image of small echo.
Wherein, to the scanning electron microscope image small echo strengthen, obtain the enhanced image of small echo can use it is small Wave function sym4 carries out two layer scattering wavelet decompositions as morther wavelet to image；Image setting pixel threshold after wavelet decomposition Value ε, to less than ε reinforced partlies, higher than ε partial reductions；Each column element after being converted to step 1-2 carries out one-dimensional discrete small echo Inverse transformation, then each row to converting the data obtained carry out one-dimensional discrete wavelet inverse transformation, obtain reconstructed image, the reconstructed image The as enhanced image of small echo.
2) by the enhanced image local adaptive threshold fuzziness of the small echo, binary image is obtained.
By the enhanced image local adaptive threshold fuzziness of the small echo, obtaining binary image can be by M × N image It is divided into m × n subgraph；Formula Threshold segmentation is iterated to every width subgraph：Obtain the maximum gradation value of each subgraph ZmaxWith minimum gradation value Zmin, initial threshold T0For (Zmax+Zmin)/2；TiDivide the image into as foreground and background, calculate both Average gray value Z1And Z2, wherein,Obtain new threshold value Ti+1=(Z1+Z2)/2；If TK= TK+1Then gained is gray threshold；Otherwise continue to iterate to calculate, until meeting end condition TK=TK+1Untill；The threshold that will be tried to achieve Value TijCorresponding subgraph original position is stored in, is spaced being inserted between adjacent two value of each column Individual numerical value expands Row, will often go it is adjacent two value between insertion be spaced Number expands row；In last row of gained matrix T1n, T2n... TmnOften row insertionIndividual value is Tin, 1≤i≤m number, similarly last column Tm1, Tm2... TmnEach column is insertedIndividual value is Tmj, 1≤j≤n number, finally give and artwork number of pixels identical binary image.
3) connected domain that presetted pixel point number is less than in the binary image, the binary picture after being optimized are deleted Picture.
4) to the binary image Boundary Extraction after the optimization, obtain extracting the image behind border.
The gray threshold ε of image is set, the edge less than the threshold epsilon is not detected, gaussian filtering template is set Size；Obtain output image g (x, y)=Δ [Gσ(x, y) * f (x, y)], wherein, Δ expression formula is：Zero is obtained by the Gaussian template after Laplace's operation and input picture convolution Crosspoint, the edge using zero cross point as tested altimetric image.
5) graph line behind the extraction border is detected, obtains the fiber width of the insulating board.
Step 5-1：Accumulator array A (ρ, θ) by size for one m × n of M × N image settings, for certain in storage image The number that straight line occurs；Each point (x, y) in image space is mapped to ginseng according to equation ρ=xcos θ+ysin θ In a series of accumulator array A (ρ, θ) corresponding to number space, corresponding accumulator is added 1；It is corresponding in the image space for straight line occur Parameter space accumulator in, the place for local maximum occur is a pair of (ρ, θ) parameters with line correspondences, so as to detect Go out straight line, measure the width of fiber.
Obtain hole area the step of be：
1) detect the scanning electron microscope image and whether there is hole, obtain the first testing result.
If 2) first testing result is expressed as the scanning electron microscope image and hole be present, there will be hole Hole image wavelet strengthens, and obtains the enhanced hole image of small echo.
3) by the enhanced hole image local adaptive threshold fuzziness of the small echo, binaryzation hole image is obtained.
4) to binaryzation hole opening operation processing, the hole image after opening operation is obtained.
Use m1×n1Each pixel in structural element scan image, covered with each element in structural element with it Bianry image does with operation, if being all 1, the pixel is 1, is otherwise 0；Use m2×n2Each picture in structural element scan image Element, the bianry image covered with each element in structural element with it do OR operation, if being all 0, the pixel is 0, no It is then 1.
5) according to the hole image zooming-out hole border after the opening operation, described hole area is obtained.
Obtain surface roughness the step of be：Bianry image matrix is scanned, the region of interconnection is merged, in single connection Hole border is taken out on domain, obtains described hole area；Obtain the discrete sampling on the scanning electron microscope image x directions Discrete sampling points in points and y directions；According on the discrete sampling points on the x directions and the y directions Discrete sampling is counted, and the three-dimensional average value of the scanning electron microscope image is calculated；According to the three-dimensional average value meter Calculation obtains the surface roughness.
Step 304：The insulating paper is obtained according to the fiber width, described hole area and the surface roughness The degree of polymerization of plate；
Step 305：By the degree of polymerization, the heat ageing of the insulating board is obtained according to figure according to the heat ageing degree Degree.
Had the advantages that using detecting system provided by the present invention and method：
1st, it is accurate reliable：During insulating board SEM image due to material, collection internal environment and extraneous humiture and The influence of vibration, can make image produce more interference and noise, and small echo of the present invention strengthens and mitigated blocky effect Local auto-adaptive Threshold Segmentation Algorithm is good to processing cardboard SEM image result by improving and testing, and is carried for further processing For condition.
2nd, it is directly perceived specific：The image processing method and system that the present invention uses, after being handled according to collection image, it will tie Fruit is directly output to display screen, substantially without manual operation, avoids a part of interference from human factor, reduces using difficulty.
3rd, cost is low：The image processing method and system that the present invention uses, determine for the insulating board SEM characteristic amount of progress bodies System, eliminates some unnecessary functions in other systems, greatly reduces the cost of image processing system so that whole system System low cost.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other The difference of embodiment, between each embodiment identical similar portion mutually referring to.For system disclosed in embodiment For, because it is corresponded to the method disclosed in Example, so description is fairly simple, related part is said referring to method part It is bright.
Specific case used herein is set forth to the principle and embodiment of the present invention, and above example is said It is bright to be only intended to help the method and its core concept for understanding the present invention；Meanwhile for those of ordinary skill in the art, foundation The thought of the present invention, in specific embodiments and applications there will be changes.In summary, this specification content is not It is interpreted as limitation of the present invention.

Claims (9)

  1. A kind of 1. detecting system of insulating board heat ageing degree, it is characterised in that including：Image capture device, with the figure As the image receiving apparatus that collecting device is connected, the analysis judge module being connected with described image receiving device, described point Judge module is analysed for detecting fiber width, hole area and the surface roughness of insulating board to judge the insulating board Heat ageing degree and residual life.
  2. 2. detecting system according to claim 1, it is characterised in that the analysis judge module specifically includes：First inspection Survey unit, the second detection unit and the 3rd detection unit；
    First detection unit, second detection unit and the 3rd detection unit are separate, and first detection is single Member is used to detect the fiber width；Second detection unit is used to detect described hole area；3rd detection unit For detecting the surface roughness.
  3. 3. detecting system according to claim 2, it is characterised in that first detection unit specifically includes：
    First small echo enhanson, for strengthening the scanning electron microscope image small echo, it is enhanced to obtain small echo Image；
    Second local adaptive threshold fuzziness subelement, for the enhanced image local adaptive threshold of the small echo to be divided Cut, obtain binary image；
    Optimize subelement, the connected domain of presetted pixel point number is less than in the binary image for deleting, after obtaining optimization Binary image；
    Boundary Extraction subelement, for the binary image Boundary Extraction after the optimization, obtaining extracting the image behind border；
    Fiber width obtains subelement, for being detected to the graph line behind the extraction border, obtains the insulating board Fiber width.
  4. 4. detecting system according to claim 2, it is characterised in that second detection unit specifically includes：
    First detection sub-unit, it whether there is hole for detecting the scanning electron microscope image, obtain the first detection knot Fruit；
    Second small echo enhanson, exist if being expressed as the scanning electron microscope image for first testing result Hole, there will be the enhancing of the hole image wavelet of hole, obtain the enhanced hole image of small echo；
    Second local adaptive threshold fuzziness subelement, for by the enhanced hole image local adaptive threshold of the small echo Segmentation, obtains binaryzation hole image；
    Opening operation handles subelement, for binaryzation hole opening operation processing, obtaining the hole figure after opening operation Picture；
    Hole area obtains subelement, for according to the hole image zooming-out hole border after the opening operation, obtaining the hole Hole area.
  5. 5. detecting system according to claim 2, it is characterised in that the 3rd detection unit specifically includes：
    Discrete acquisitions points obtain subelement, for obtaining the discrete sampling point on the scanning electron microscope image x directions Discrete sampling points on number and y directions；
    Three-dimensional mean value calculation subelement, for according on the x directions discrete sampling points and the y directions on from Sampling number is dissipated, the three-dimensional average value of the scanning electron microscope image is calculated；
    Surface roughness meter operator unit, for obtaining the surface roughness according to the three-dimensional mean value calculation.
  6. A kind of 6. detection method of insulating board heat ageing degree, it is characterised in that including：
    The heat ageing degree of insulating board is obtained according to figure；What the heat ageing degree was obtained according to figure by historical test data；
    Obtain scanning electron microscope image；
    Fiber width, hole area and the surface roughness of insulating board are obtained according to the scanning electron microscope image；
    The degree of polymerization of the insulating board is obtained according to the fiber width, described hole area and the surface roughness；
    By the degree of polymerization, the heat ageing degree of the insulating board is obtained according to figure according to the heat ageing degree.
  7. 7. detection method according to claim 6, it is characterised in that described to be obtained according to the scanning electron microscope image Fiber width, hole area and the surface roughness of insulating board are taken, is specifically included：
    The scanning electron microscope image small echo is strengthened, obtains the enhanced image of small echo；
    By the enhanced image local adaptive threshold fuzziness of the small echo, binary image is obtained；
    Delete the connected domain that presetted pixel point number is less than in the binary image, the binary image after being optimized；
    To the binary image Boundary Extraction after the optimization, obtain extracting the image behind border；
    Graph line behind the extraction border is detected, obtains the fiber width of the insulating board.
  8. 8. detection method according to claim 6, it is characterised in that described to be obtained according to the scanning electron microscope image Fiber width, hole area and the surface roughness of insulating board are taken, is specifically included：
    Detect the scanning electron microscope image and whether there is hole, obtain the first testing result；
    If first testing result, which is expressed as the scanning electron microscope image, has hole, there will be the hole figure of hole As small echo enhancing, the enhanced hole image of small echo is obtained；
    By the enhanced hole image local adaptive threshold fuzziness of the small echo, binaryzation hole image is obtained；
    To binaryzation hole opening operation processing, the hole image after opening operation is obtained；
    According to the hole image zooming-out hole border after the opening operation, described hole area is obtained.
  9. 9. detection method according to claim 6, it is characterised in that described to be obtained according to the scanning electron microscope image Fiber width, hole area and the surface roughness of insulating board are taken, is specifically included：
    Obtain the discrete sampling points on discrete sampling points and the y directions on the scanning electron microscope image x directions；
    Counted according to the discrete sampling points on the x directions and the discrete sampling on the y directions, described sweep is calculated Retouch the three-dimensional average value of electron microscope image；
    The surface roughness is obtained according to the three-dimensional mean value calculation.
CN201711190221.XA 2017-11-24 2017-11-24 A kind of detecting system and method for insulating board heat ageing degree Pending CN107871320A (en)

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