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 PDF

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Publication number
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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China
Prior art keywords
image
fiber
optical fiber
welding
power spectrum
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Pending
Application number
CN201910508615.8A
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Chinese (zh)
Inventor
刘帅奇
黄嫒
徐锦兵
邹辉
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Jiangsu Tongze Hui Photoelectric Technology Co Ltd
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Jiangsu Tongze Hui Photoelectric Technology Co Ltd
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Application filed by Jiangsu Tongze Hui Photoelectric Technology Co Ltd filed Critical Jiangsu Tongze Hui Photoelectric Technology Co Ltd
Priority to CN201910508615.8A priority Critical patent/CN110286125A/en
Publication of CN110286125A publication Critical patent/CN110286125A/en
Pending legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan 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
    • GPHYSICS
    • G02OPTICS
    • G02BOPTICAL ELEMENTS, SYSTEMS OR APPARATUS
    • G02B6/00Light guides; Structural details of arrangements comprising light guides and other optical elements, e.g. couplings
    • G02B6/24Coupling light guides
    • G02B6/255Splicing of light guides, e.g. by fusion or bonding
    • G02B6/2553Splicing machines, e.g. optical fibre fusion splicer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84Systems specially adapted for particular applications
    • G01N21/88Investigating the presence of flaws or contamination
    • G01N21/8851Scan 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
    • G01N2021/8887Scan 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

A kind of optical fiber fusion quality detection method based on image
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.
CN201910508615.8A 2019-06-12 2019-06-12 A kind of optical fiber fusion quality detection method based on image Pending CN110286125A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910508615.8A CN110286125A (en) 2019-06-12 2019-06-12 A kind of optical fiber fusion quality detection method based on image

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910508615.8A CN110286125A (en) 2019-06-12 2019-06-12 A kind of optical fiber fusion quality detection method based on image

Publications (1)

Publication Number Publication Date
CN110286125A true CN110286125A (en) 2019-09-27

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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

Country Status (1)

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CN (1) CN110286125A (en)

Citations (3)

* Cited by examiner, † Cited by third party
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

Patent Citations (3)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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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