CN110286125A - A kind of optical fiber fusion quality detection method based on image - Google Patents
A kind of optical fiber fusion quality detection method based on image Download PDFInfo
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- CN110286125A CN110286125A CN201910508615.8A CN201910508615A CN110286125A CN 110286125 A CN110286125 A CN 110286125A CN 201910508615 A CN201910508615 A CN 201910508615A CN 110286125 A CN110286125 A CN 110286125A
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- optical fiber
- welding
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- 239000013307 optical fiber Substances 0.000 title claims abstract description 47
- 230000004927 fusion Effects 0.000 title claims abstract description 20
- 238000001514 detection method Methods 0.000 title claims abstract description 12
- 239000000835 fiber Substances 0.000 claims abstract description 52
- 238000003466 welding Methods 0.000 claims abstract description 43
- 238000001228 spectrum Methods 0.000 claims abstract description 24
- 238000004364 calculation method Methods 0.000 claims abstract description 8
- 238000000034 method Methods 0.000 claims description 7
- 230000010287 polarization Effects 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 5
- 208000025174 PANDAS Diseases 0.000 claims description 3
- 208000021155 Paediatric autoimmune neuropsychiatric disorders associated with streptococcal infection Diseases 0.000 claims description 3
- 240000004718 Panda Species 0.000 claims description 3
- 235000016496 Panda oleosa Nutrition 0.000 claims description 3
- 241000282376 Panthera tigris Species 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 3
- 230000007547 defect Effects 0.000 description 5
- 238000007789 sealing Methods 0.000 description 4
- 239000000463 material Substances 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
- 238000007743 anodising Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004140 cleaning Methods 0.000 description 1
- 239000000428 dust Substances 0.000 description 1
- 238000007499 fusion processing Methods 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000000253 optical time-domain reflectometry Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 239000011800 void material Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B6/00—Light guides; Structural details of arrangements comprising light guides and other optical elements, e.g. couplings
- G02B6/24—Coupling light guides
- G02B6/255—Splicing of light guides, e.g. by fusion or bonding
- G02B6/2553—Splicing machines, e.g. optical fibre fusion splicer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Optics & Photonics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Plasma & Fusion (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Mechanical Coupling Of Light Guides (AREA)
Abstract
The present invention relates to optical fiber fusion welding technology fields, specifically, being a kind of optical fiber fusion quality detection method based on image, comprising the following steps: step 1: fused fiber splice image are obtained during fused fiber splice, as testing fiber welding image;Step 2: the spectra calculation testing fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;Step 3: the fused fiber splice image near optical fiber fusion welding point is obtained, as standard fiber welding image;Step 4: the spectra calculation standard fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;Step 5: testing fiber welding image power spectrum signature and standard fiber welding image power spectrum signature are compared and analyzed, whether in error range to determine characteristic value, if exceeding setting value, determines that fused fiber splice is failed, if determining fused fiber splice success without departing from setting value.
Description
Technical field
The present invention relates to optical fiber fusion welding technology fields, specifically, being a kind of optical fiber fusion quality detection based on image
Method.
Background technique
Optical fiber fusion welding technology is mainly connected optical fiber with optical fiber or optical fiber with tail optical fiber with molten fine machine, the naked fibre in optical cable
It is fused together with optical fiber pigtail and becomes an entirety, and tail optical fiber then has an individual optical fiber head.According to optical fiber before welding
Material and type set the key parameters such as best fritting main molten electric current and time and optical fiber feeding amount.It is also answered in fusion process
Cleaning heat sealing machine " V " shape slot, electrode, object lens, welding room etc. in time, observe has bubble-free, meticulous, excessively thick, void at any time in welding
The bad phenomenons such as molten, separation pay attention to OTDR tracking and monitoring as a result, the reason of analysis generates above-mentioned bad phenomenon in time, takes phase
The corrective measure answered.If repeatedly there is empty molten phenomenon, it should check whether the material of two optical fiber of welding, model match, cutter
Whether it is contaminated by dust with heat sealing machine, and checks anodizing situation, if equal no problem, welding current should be properly increased.
Fused fiber splice work in practice causes fused fiber splice bad due to being influenced by cable technique and working environment is opened,
The weldings defect such as cracked, bubble, NI Vision Builder for Automated Inspection in heat sealing machine to entire fibre junction complete monitoring and analysis, because
This proposes very high requirement to the image processing system of heat sealing machine.
Existing optical fiber splicer can detect welding quality after carrying out fusing operation to optical fiber, but its defect is known
The defects of other mode is simple, can only identify large fracture, air pocket, to minute bubbles, micro-crack the defects of, cannot effectively identify.
Summary of the invention
In order to solve the above-mentioned technical problem, the optical fiber fusion quality detection method based on image that the present invention discloses a kind of,
Specific technical solution is as follows:
A kind of optical fiber fusion quality detection method based on image, comprising the following steps:
Step 1: fused fiber splice image is obtained during fused fiber splice, as testing fiber welding image;
Step 2: the spectra calculation testing fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;
Step 3: the fused fiber splice image near optical fiber fusion welding point is obtained, as standard fiber welding image;
Step 4: the spectra calculation standard fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;
Step 5: testing fiber welding image power spectrum signature and standard fiber welding image power spectrum signature are carried out pair
Than analysis, whether in error range characteristic value is determined, if exceeding setting value, determine that fused fiber splice is failed, if without departing from
Setting value then determines fused fiber splice success.
The above method can be adapted for single mode optical fiber, multimode fibre and polarization maintaining optical fibre welding quality judgement, optical fiber it is straight
Diameter is 125 μm or 80 μm, and optical fiber is panda type, bow-tie type, tiger type polarization maintaining optical fibre.
Beneficial effects of the present invention: the present invention proposes a kind of optical fiber fusion quality detection method based on image, this method
It can determine the picture quality near optical fiber fusion welding point, while judging the correctness of fused fiber splice parameter, so as to find more
More defect modes, accurate judgement welding point mass.
Detailed description of the invention
Fig. 1 is flow chart of the method for the present invention.
Specific embodiment
In order to deepen the understanding of the present invention, the present invention is done below in conjunction with drawings and examples and is further retouched in detail
It states, the embodiment is only for explaining the present invention, does not constitute and limits to protection scope of the present invention.
Embodiment: as shown, a kind of optical fiber fusion quality detection method based on image, comprising the following steps:
Step 1: fused fiber splice image is obtained during fused fiber splice, as testing fiber welding image;
Step 2: the spectra calculation testing fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;
Step 3: the fused fiber splice image near optical fiber fusion welding point is obtained, as standard fiber welding image;
Step 4: the spectra calculation standard fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;
Step 5: testing fiber welding image power spectrum signature and standard fiber welding image power spectrum signature are carried out pair
Than analysis, whether in error range characteristic value is determined, if exceeding setting value, determine that fused fiber splice is failed, if without departing from
Setting value then determines fused fiber splice success.
The welding quality that the present embodiment is suitable for single mode optical fiber, multimode fibre and polarization maintaining optical fibre judges that the diameter of optical fiber is
125 μm or 80 μm, optical fiber is panda type, bow-tie type, tiger type polarization maintaining optical fibre.
Basic principles and main features and advantage of the invention have been shown and described above.The technical staff of the industry should
Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe originals of the invention
Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements
It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle
It is fixed.
Claims (4)
1. a kind of optical fiber fusion quality detection method based on image, which comprises the following steps:
Step 1: fused fiber splice image is obtained during fused fiber splice, as testing fiber welding image;
Step 2: the spectra calculation testing fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;
Step 3: the fused fiber splice image near optical fiber fusion welding point is obtained, as standard fiber welding image;
Step 4: the spectra calculation standard fiber welding image power spectrum signature of the high frequency coefficient of orthogonal wavelet is utilized;
Step 5: testing fiber welding image power spectrum signature and standard fiber welding image power spectrum signature are compared point
Whether in error range analysis determines characteristic value, if exceeding setting value, determines that fused fiber splice is failed, if without departing from setting
Value then determines fused fiber splice success.
2. the optical fiber fusion quality detection method according to claim 1 based on image, which is characterized in that the method is suitable
Welding quality for single mode optical fiber, multimode fibre and polarization maintaining optical fibre judges.
3. the optical fiber fusion quality detection method according to claim 1 based on image, which is characterized in that the optical fiber
Diameter is 125 μm or 80 μm.
4. the optical fiber fusion quality detection method according to claim 1 based on image, which is characterized in that the optical fiber is
Panda type, bow-tie type, tiger type polarization maintaining optical fibre.
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CN201910508615.8A CN110286125A (en) | 2019-06-12 | 2019-06-12 | A kind of optical fiber fusion quality detection method based on image |
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CN201910508615.8A CN110286125A (en) | 2019-06-12 | 2019-06-12 | A kind of optical fiber fusion quality detection method based on image |
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CN201910508615.8A Pending CN110286125A (en) | 2019-06-12 | 2019-06-12 | A kind of optical fiber fusion quality detection method based on image |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102567745A (en) * | 2011-12-29 | 2012-07-11 | 北京航天时代光电科技有限公司 | Automatic detection method of optical fiber fusion quality |
CN104089756A (en) * | 2014-06-11 | 2014-10-08 | 清华大学 | Fiber state detection method and system |
CN104897370A (en) * | 2015-05-27 | 2015-09-09 | 广东高聚激光有限公司 | Fiber welding quality monitoring method and system |
-
2019
- 2019-06-12 CN CN201910508615.8A patent/CN110286125A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102567745A (en) * | 2011-12-29 | 2012-07-11 | 北京航天时代光电科技有限公司 | Automatic detection method of optical fiber fusion quality |
CN104089756A (en) * | 2014-06-11 | 2014-10-08 | 清华大学 | Fiber state detection method and system |
CN104897370A (en) * | 2015-05-27 | 2015-09-09 | 广东高聚激光有限公司 | Fiber welding quality monitoring method and system |
Non-Patent Citations (3)
Title |
---|
刘艳格 等: "光纤检测中数据处理方法研究", 《红外与激光工程》 * |
杨亚 等: "基于正交小波分解的光纤熔接缺陷检测", 《电脑编程技巧与维护》 * |
赵荣椿 等: "《数字图像处理》", 30 April 2016, 西北工业大学出版社 * |
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Application publication date: 20190927 |
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