CN116500057A - Optical fiber equipment visual data analysis system and method based on artificial intelligence - Google Patents

Optical fiber equipment visual data analysis system and method based on artificial intelligence Download PDF

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CN116500057A
CN116500057A CN202310479929.6A CN202310479929A CN116500057A CN 116500057 A CN116500057 A CN 116500057A CN 202310479929 A CN202310479929 A CN 202310479929A CN 116500057 A CN116500057 A CN 116500057A
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optical fiber
shaped groove
groove
face
acquired
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张晓飞
马书广
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Shenzhen Xin Zhen Hua Optoelectronics Technology Co ltd
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Shenzhen Xin Zhen Hua Optoelectronics Technology Co ltd
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    • 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
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/26—Measuring arrangements characterised by the use of optical techniques for measuring angles or tapers; for testing the alignment of axes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/30—Measuring arrangements characterised by the use of optical techniques for measuring roughness or irregularity of surfaces
    • 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
    • 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
    • G02B6/36—Mechanical coupling means
    • 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
    • G02B6/36—Mechanical coupling means
    • G02B6/3628—Mechanical coupling means for mounting fibres to supporting carriers
    • G02B6/3632—Mechanical coupling means for mounting fibres to supporting carriers characterised by the cross-sectional shape of the mechanical coupling means
    • G02B6/3636—Mechanical coupling means for mounting fibres to supporting carriers characterised by the cross-sectional shape of the mechanical coupling means the mechanical coupling means being grooves
    • 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
    • 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
    • G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
    • G01N2021/9511—Optical elements other than lenses, e.g. mirrors
    • 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
    • G06T2207/10004—Still image; Photographic image

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Optics & Photonics (AREA)
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  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
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  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Mechanical Coupling Of Light Guides (AREA)

Abstract

The invention discloses an optical fiber equipment visual data analysis system and method based on artificial intelligence, and belongs to the technical field of data analysis. The invention comprises the following steps: s10: the method comprises the steps that the upper surface of a substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves, an industrial camera is used for collecting images of the front face and the side face of the substrate, and the relative flatness of the optical fiber V-shaped grooves at all positions of the V-shaped grooves is predicted based on the collected images and the change condition of the applied pressure; s20: the degree of cleanliness of the fiber V-groove base and fiber V-groove surface was predicted. According to the invention, the relative flatness of the optical fiber V-shaped groove at each position of the V-shaped groove is predicted according to the pressure change condition of the optical fiber V-shaped groove, so that the influence of illumination intensity on a shot image is avoided, and the analysis precision of the system on the optical fiber V-shaped groove is improved.

Description

Optical fiber equipment visual data analysis system and method based on artificial intelligence
Technical Field
The invention relates to the technical field of data analysis, in particular to an optical fiber equipment visual data analysis system and method based on artificial intelligence.
Background
The optical fiber equipment generally comprises an optical fiber distribution box, an optical fiber connector, an optical fiber transceiver, an optical fiber amplifier, an optical fiber sensor and the like, wherein the optical fiber connector comprises an optical fiber V-shaped groove, one ends of two optical fibers are placed into an optical fiber V-shaped groove substrate, and epoxy is used for pasting and positioning the two optical fibers on the end face of the optical fibers.
However, the positioning of the optical fiber V-shaped groove is more accurate to the processing requirement of the V-shaped groove, if the processing angle of the V-shaped groove or the roughness of the inside of the V-shaped groove is not tight, the sealing of the V-shaped groove cover plate is not tight, the optical fiber communication is interrupted, and when the optical fiber V-shaped groove is utilized to weld the exposed optical fiber, the dust and dirt on the substrate of the optical fiber V-shaped groove need to be identified and ensured, if the optical fiber V-shaped groove is welded in a polluted environment, the splicing loss of the optical fiber is increased.
Disclosure of Invention
The invention aims to provide an artificial intelligence-based optical fiber equipment visual data analysis system and an artificial intelligence-based optical fiber equipment visual data analysis method, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: an artificial intelligence based optical fiber equipment visual data analysis method, the method comprising:
s10: the method comprises the steps that the upper surface of a substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves, an industrial camera is used for collecting images on the front face and the side face of the substrate, the relative flatness of the optical fiber V-shaped grooves at each position of the V-shaped grooves is predicted based on the collected images and the change condition of the applied pressure, and cleaning and polishing treatment are carried out on the optical fiber V-shaped grooves according to the prediction result, wherein the optical fiber V-shaped grooves are made of quartz glass, the optical fibers are soft optical fibers, and move at a uniform speed under the action of the applied pressure;
S20: after the optical fiber V-shaped groove is cleaned and polished, acquiring side images of the substrate by using an industrial camera again, acquiring the contact point position of the optical fiber end face and the optical fiber V-shaped groove based on the acquired images, and judging whether the V-shaped groove angle of the optical fiber V-shaped groove meets the standard according to acquired information;
s30: after the optical fiber V-shaped groove is cleaned, processed and polished, an industrial camera is utilized to collect images above the optical fiber V-shaped groove, brightness of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove surface is calculated based on the collected images, and the cleaning degree of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove surface is predicted based on a calculation result.
Further: the S10 includes:
s101: based on the acquired front image, acquiring the bending condition of the optical fiber in the light V-shaped groove and the highest point position of the optical fiber in the bending position;
s102: based on the acquired side images, the contact point position of the optical fiber and the optical fiber V-shaped groove, the lowest point position of the optical fiber and the lowest point position of the optical fiber end face are acquired, the vertical distance between the acquired lowest point position of the optical fiber end face and the optical fiber lowest point position is calculated, and the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove and the protruding position of the optical fiber V-shaped groove are determined by combining the bending condition of the optical fiber in the optical fiber V-shaped groove acquired in the S101;
The specific method for determining the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove and the protruding position of the optical fiber V-shaped groove comprises the following steps:
determining the position of the optical fiber parallel to the substrate of the optical fiber V-shaped groove according to the bending condition of the optical fiber in the optical fiber V-shaped groove obtained in S101, constructing a mathematical model beta=arctan (H/minL) by combining the vertical distance calculated in S102, and determining the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove, wherein H represents the calculated vertical distance, L represents the distance value of the optical fiber end face from the parallel position, and beta represents the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove;
according to the bending condition of the optical fiber in the optical fiber V-shaped groove obtained in the step S101, obtaining the bending position of the optical fiber, wherein the obtained bending position is the protruding position of the optical fiber V-shaped groove;
the bending position closest to the optical fiber end face is obtained, the protruding position of the optical fiber V-shaped groove close to the optical ray end face is determined by combining the deflection angle of the optical fiber end face compared with the optical fiber V-shaped groove base, and a specific determination formula W is as follows:
constructing a plane coordinate system by taking the parallel position closest to the end face of the optical fiber as a coordinate origin;
when D-minL > 0:
W＝-tanβ*X+y X＜minD；
When D-minL < 0:
W＝D；
wherein D represents the nearest bending position to the optical fiber end face, y represents the vertical distance between the lowest point of the optical fiber end face and the substrate of the optical fiber V-shaped groove, X represents a variable, and W represents the determined protruding position of the optical fiber V-shaped groove close to the optical fiber end face;
s103: and acquiring the pressure change condition applied to the optical fiber at the same vertical position, predicting the relative flatness of the V-shaped groove of the optical fiber at each position of the V-shaped groove by combining the protruding position of the V-shaped groove of the optical fiber determined in the step S102, and cleaning and polishing the V-shaped groove of the optical fiber based on the prediction result.
Further: the specific method for predicting the relative flatness of each position of the optical fiber V-shaped groove by S103 is as follows:
acquiring the pressure change condition of the optical fiber at the same vertical position, comparing the acquired pressure change condition with the standard pressure change condition, determining the position of the optical fiber corresponding part in the V-shaped groove of the optical fiber in the abnormal force application time period and the abnormal force application time according to the comparison result, predicting the relative flatness of the V-shaped groove of the optical fiber at each position of the V-shaped groove based on the determination result and the protruding position of the V-shaped groove of the optical fiber determined in the step S102, and then:
a. When the abnormal position of the force application and the final stop position of the optical fiber are not coincident, acquiring the force application condition corresponding to the abnormal time period of the force application at the abnormal position of the force application, and predicting the relative flatness of the V-shaped groove of the optical fiber at the abnormal position of the force application based on the acquired information, wherein a specific prediction formula T is adopted 1 The method comprises the following steps:
wherein t represents the abnormal point in time of the force application, v represents the force application speed, t x v represents the vertical distance from the abnormal position of the force application to the upper surface of the substrate, and F t*v Representing the corresponding abnormal force application value when the vertical distance from the upper surface of the substrate is t x v, F t*v The standard force application value corresponding to the vertical distance t x v from the upper surface of the substrate is shown, and f is the force application value corresponding to the unit value of the relative flatness change;
b. when the force application abnormal position is overlapped with the final stop position of the optical fiber, T 2 =1-1/(C-C), where C represents the fiber stop height, C represents the fiber standard stop height, T 2 The projected length of the projected position is calculated as C-C, representing the predicted relative flatness of the fiber V-groove at the projected position, because the optical fiber cannot move to the standard position due to the blocking of the fiber body by the projected portion, and the vertical distance between the final stop position and the standard stop position of the fiber body can be substituted for the projected length of the projected position.
Further: the S20 includes:
s201: acquiring a side image of the substrate by using an industrial camera, acquiring the position of a contact point between the end face of the optical fiber and the V-shaped groove of the optical fiber based on the acquired image, comparing the acquired position of the contact point with a standard position, and judging whether the V-shaped groove angle of the V-shaped groove of the optical fiber meets the standard according to a comparison result;
s202: based on the acquired image acquired in S201, acquiring the lowest point position of the optical fiber end face, calculating the vertical distance between the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face, and predicting the V-groove angle of the optical fiber V-groove by combining the vertical length of the lowest point position of the optical fiber end face from the substrate of the optical fiber V-groove, wherein the specific prediction formula Q is as follows:
Q＝τ-[(x*u)/(X*Y)]*τ；
wherein X represents the vertical length of the lowest point position of the optical fiber end face from the base of the optical fiber V-shaped groove, u represents the vertical distance between the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face, X represents the height of the optical fiber V-shaped groove, Y represents the standard width of the optical fiber V-shaped groove, tau represents the V-shaped groove angle corresponding to the standard optical fiber V-shaped groove, and Q represents the predicted V-shaped groove angle of the optical fiber V-shaped groove;
s203: and (3) processing and polishing the optical fiber V-shaped groove according to the V-groove angle of the predicted optical fiber V-shaped groove in the step (S202).
Further: the S30 includes:
s301: collecting an image above the optical fiber V-shaped groove by using an industrial camera, carrying out gray level binarization processing on the collected image, and acquiring gray level values corresponding to all positions of the optical fiber V-shaped groove after the processing;
s302: dividing the V groove into areas by using the area S, constructing a mathematical model according to the gray value obtained in the S201, calculating the brightness of the surface of the V groove, and particularly calculating the mathematical model K i The method comprises the following steps:
K i ＝1-(m i *S i )/255；
where i=1, 2, …, n denotes the number corresponding to the divided region, m i Represents the average gray value corresponding to the divided region with the number i, S i Represents the total area, K, corresponding to the part with gray value less than 255 in the divided area with the number i i Representing the brightness value corresponding to the surface of the divided area with the number i;
s303: constructing a model R according to the brightness value calculated in S202 i ＝(1-K i ) Predicting the cleanliness of the substrate and the surface of the V-shaped groove of the optical fiber, wherein R is as follows i The cleaning degree corresponding to the divided area with the number i is shown;
s304: and (3) performing secondary cleaning on each area according to the cleaning degree corresponding to each divided area predicted in the step (S203).
An optical fiber equipment visual data analysis system based on artificial intelligence comprises an optical fiber V-shaped groove detection module, a V-groove angle prediction module and an optical fiber V-shaped groove application module;
The upper surface of the substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, and pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves;
the optical fiber V-shaped groove detection module is used for acquiring front and side images of a substrate by using an industrial camera, predicting the relative flatness of the optical fiber V-shaped groove at each position of the V-shaped groove based on the acquired images and the change condition of applied pressure, cleaning and polishing the optical fiber V-shaped groove according to a prediction result, and transmitting the treatment completion information to the V-shaped groove angle prediction module after the cleaning and polishing treatment, wherein the optical fiber V-shaped groove is made of quartz glass, the optical fiber is a soft optical fiber, and the optical fiber moves at a uniform speed under the action of the applied pressure;
the V-groove angle prediction module is used for receiving the processing completion information transmitted by the optical fiber V-groove detection module, acquiring a side image of the substrate by using the industrial camera again based on the receiving information, acquiring the contact point position of the optical fiber end face and the optical fiber V-groove based on the acquired image, predicting the V-groove angle of the pipe new concept V-groove according to the acquired information, processing and polishing the V-groove based on the prediction result, and transmitting the processing completion information to the optical fiber V-groove application module after the processing and polishing;
The optical fiber V-shaped groove application module is used for receiving processing completion information transmitted by the V-shaped groove angle prediction module, acquiring an image above the optical fiber V-shaped groove by using an industrial camera based on the receiving information, calculating the brightness of the surfaces of the substrate of the optical fiber V-shaped groove and the optical fiber V-shaped groove based on the acquired image, predicting the cleanliness of the surfaces of the substrate of the optical fiber V-shaped groove and the optical fiber V-shaped groove based on the calculation result, and judging whether the optical fiber V-shaped groove can be directly applied according to the prediction result.
Further: the optical fiber V-shaped groove detection module comprises an information acquisition unit, a deflection angle determination unit, a protruding position determination unit, a relative flatness prediction unit and a first processing unit;
the information acquisition unit acquires front and side images of the substrate by using an industrial camera, acquires the bending condition of the optical fiber in the V-shaped groove of the optical fiber and the highest point position of the optical fiber at the bending position according to the acquired front image, and transmits acquired information and the acquired side image to the deflection angle determination unit and the convex position determination unit;
the deflection angle determining unit receives acquired information and acquired side images transmitted by the information acquiring unit, acquires the contact point position of the optical fiber and the optical fiber V-shaped groove, the lowest point position of the optical fiber and the lowest point position of the optical fiber end surface based on the acquired side images, calculates the vertical distance between the acquired lowest point position of the optical fiber end surface and the lowest point position of the optical fiber, determines the position of the optical fiber parallel to the optical fiber V-shaped groove substrate according to the bending condition of the received optical fiber in the optical fiber V-shaped groove, combines the calculated vertical distance, constructs a mathematical model beta=arctan (H/minL), determines the deflection angle of the optical fiber end surface compared with the optical fiber V-shaped groove substrate, and transmits the determined deflection angle to the protruding position determining unit, wherein H represents the calculated vertical distance, L represents the distance value of the optical fiber end surface from the parallel position, and beta represents the deflection angle of the optical fiber end surface compared with the optical fiber V-shaped groove substrate;
The convex position determining unit receives the deflection angle transmitted by the deflection angle determining unit and the acquired information transmitted by the information acquiring unit, acquires the bending position of the optical fiber according to the bending condition of the optical fiber in the optical fiber V-shaped groove, acquires the bending position closest to the end face of the optical fiber according to the bending condition of the optical fiber in the optical fiber V-shaped groove, and constructs a determination formula by combining the deflection angle of the end face of the optical fiber compared with the base of the optical fiber V-shaped groove Determining the protruding position of the optical fiber V-shaped groove close to the light ray end face, and transmitting the determined protruding position to a relative flatness prediction unit, wherein D represents the nearest bending position to the optical fiber end face, y represents the vertical distance from the lowest point of the optical fiber end face to the base of the optical fiber V-shaped groove, X represents a variable and X < minD, and W represents the determined optical fiber V-shaped groove close to the optical fiber end faceProtruding position, let +.>When D-minL < 0, let +.>
The relative flatness prediction unit receives the protruding position transmitted by the protruding position determination unit, acquires the applied pressure change condition received by the optical fiber at the same vertical position, compares the acquired applied pressure change condition with the standard applied pressure change condition, determines the position of the optical fiber corresponding part in the V-shaped groove of the optical fiber during abnormal force application time period and abnormal force application according to the comparison result, judges whether the abnormal force application position is coincident with the final stop position of the optical fiber, and if not, judges the abnormal force application position to be coincident with the final stop position of the optical fiber according to the prediction model Predicting the relative flatness of the optical fiber V-shaped groove at the abnormal force application position, and if the relative flatness is overlapped, according to a prediction model T 2 Predicting the relative flatness of the V-groove at the protruding position of the optical fiber, wherein t represents the abnormal time point of the force application, V represents the force application speed, t represents the vertical distance of the abnormal position of the force application from the upper surface of the substrate, and F, =1-1/(C-C) t*v Representing the corresponding abnormal force application value when the vertical distance from the upper surface of the substrate is t x v, F t*v The standard force application value corresponding to the vertical distance from the upper surface of the substrate is T x v, f represents the force application value corresponding to the unit value of the relative flatness change, C represents the fiber stop height, C represents the fiber standard stop height, T 2 Indicating the predicted relative flatness of the fiber V-groove at the protrusion position;
the first processing unit receives the prediction result transmitted by the relative flatness prediction unit, cleans and polishes the optical fiber V-shaped groove based on the received information, and transmits the processing completion information to the V-groove angle prediction module.
Further: the V-groove angle prediction module comprises a judging unit, a V-groove angle prediction unit and a second processing unit;
The judging unit receives the processing completion information transmitted by the first processing unit, acquires a side image of the substrate by using the industrial camera again based on the receiving information, acquires the contact point position of the optical fiber end face and the optical fiber V-shaped groove based on the acquired image, compares the acquired contact point position with a standard position, judges whether the V-shaped groove angle of the optical fiber V-shaped groove meets the standard according to a comparison result, transmits the judging result to the optical fiber V-shaped groove application module if the V-shaped groove angle meets the standard (namely, the acquired contact point position is coincident with the standard position), and transmits the judging result and the acquired side image to the V-shaped groove angle predicting unit if the V-shaped groove angle does not meet the standard (namely, the acquired contact point position is not coincident with the standard position);
the V-groove angle prediction unit receives the judgment result transmitted by the judgment unit and the acquired side image, acquires the lowest point position of the optical fiber end surface based on the received side image, calculates the vertical distance between the lowest point position of the optical fiber end surface and the standard lowest point position of the optical fiber end surface, combines the vertical length of the lowest point position of the optical fiber end surface from the base of the V-shaped groove of the optical fiber, constructs a prediction model Q=tau- [ (X u)/(X X Y) ]tau, predicts the V-groove angle of the V-shaped groove of the optical fiber, and transmits the predicted V-groove angle to the second processing unit, wherein X represents the vertical length of the lowest point position of the optical fiber end surface from the base of the V-shaped groove of the optical fiber, u represents the vertical distance between the lowest point position of the optical fiber end surface and the standard lowest point position of the optical fiber end surface, X represents the height of the V-shaped groove of the optical fiber, Y represents the standard width of the V-shaped groove of the optical fiber, tau represents the V-shaped groove angle corresponding to the standard optical fiber V-shaped groove, and Q represents the V-groove angle of the predicted V-shaped groove;
The second processing unit receives the V-groove angle transmitted by the V-groove angle prediction unit, processes and polishes the optical fiber V-shaped groove based on the received information, and transmits the processed information to the optical fiber V-shaped groove application module.
Further: the optical fiber V-shaped groove application module comprises an image processing unit, a V-groove brightness calculation unit and a cleanliness prediction unit;
the image processing unit receives the processing completion information transmitted by the second processing unit or the judging result transmitted by the judging unit, acquires an image above the optical fiber V-shaped groove by using an industrial camera based on the receiving information, carries out gray level binarization processing on the acquired image, acquires gray level values corresponding to all positions of the optical fiber V-shaped groove after the processing, and transmits the acquired gray level values to the V-groove brightness calculating unit;
the V-groove brightness calculation unit receives the gray value transmitted by the image processing unit, the V-groove brightness calculation unit divides the V-groove into areas with the area s, and a mathematical model K is constructed by combining the received gray value i ＝1-(m i *S i ) 255, calculating the brightness of the V-groove surface, and transmitting the calculation result to a cleaning degree prediction unit, wherein i=1, 2, …, n represents the number corresponding to the divided region, m i Represents the average gray value corresponding to the divided region with the number i, S i Represents the total area, K, corresponding to the part with gray value less than 255 in the divided area with the number i i Representing the brightness value corresponding to the surface of the divided area with the number i;
the cleanliness prediction unit receives the calculation result transmitted by the V-groove brightness calculation unit, and constructs a model R based on the received information i ＝(1-K i ) Predicting the cleaning degree of the V groove surface, if R i =1, then it means that the fiber V-groove can be directly applied (direct application means that no cleaning operation other than the conventional sterilization cleaning is required), whereas it means that the fiber V-groove cannot be directly applied.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the convex positions of the optical fiber V-shaped grooves in the V-shaped grooves are determined by utilizing visual data, and the relative flatness of the optical fiber V-shaped grooves in each position of the V-shaped grooves is predicted according to the pressure change condition applied by completely placing the optical fiber into the optical fiber V-shaped grooves, so that the situation that the pixel values presented by each position of the V-shaped grooves on images are different from the actual values due to the fact that the light intensities are different when the relative flatness of the optical fiber V-shaped grooves in each position of the V-shaped grooves is predicted by directly utilizing the visual data is avoided, and the analysis precision of the system to the optical fiber V-shaped grooves is improved.
2. According to the method, the V-groove angle of the optical fiber V-groove is predicted by combining the contact point position of the optical fiber end face and the optical fiber V-groove, the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face and combining the vertical length of the lowest point position of the optical fiber end face from the base of the optical fiber V-groove, and compared with a method for judging whether the V-groove angle meets the standard or not by measuring the width of the V-groove, the method is more accurate in predicting the V-groove angle and further improves the analysis effect of a system.
3. According to the invention, the brightness value corresponding to the surface of each divided area of the V-shaped groove is calculated through the gray value corresponding to each position of the V-shaped groove of the optical fiber, the cleaning degree of the surface of each divided area of the V-shaped groove is predicted based on the brightness value, and the influence of some tiny dust on the optical fiber during fusion is ignored in the process, because the V-shaped groove of the optical fiber is cleaned by alcohol cotton before use, and some solidified impurities are not easily cleaned by the alcohol cotton, the predicted cleaning degree is more representative, and the visual analysis effect of the system is improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic workflow diagram of an artificial intelligence based optical fiber apparatus visual data analysis system and method of the present invention;
fig. 2 is a schematic structural diagram of the working principle of the optical fiber equipment visual data analysis system and method based on artificial intelligence.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 and 2, the present invention provides the following technical solutions: an optical fiber equipment visual data analysis method based on artificial intelligence, the method comprises the following steps:
s10: the method comprises the steps that the upper surface of a substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves, an industrial camera is used for collecting images on the front face and the side face of the substrate, the relative flatness of the optical fiber V-shaped grooves at each position of the V-shaped grooves is predicted based on the collected images and the change condition of the applied pressure, and cleaning and polishing treatment are carried out on the optical fiber V-shaped grooves according to the prediction result, wherein the optical fiber V-shaped grooves are made of quartz glass, the optical fibers are soft optical fibers, and move at a uniform speed under the action of the applied pressure;
S10 comprises the following steps:
s101: based on the acquired front image, acquiring the bending condition of the optical fiber in the light V-shaped groove and the highest point position of the optical fiber in the bending position;
s102: based on the acquired side images, the contact point position of the optical fiber and the optical fiber V-shaped groove, the lowest point position of the optical fiber and the lowest point position of the optical fiber end face are acquired, the vertical distance between the acquired lowest point position of the optical fiber end face and the optical fiber lowest point position is calculated, and the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove and the protruding position of the optical fiber V-shaped groove are determined by combining the bending condition of the optical fiber in the optical fiber V-shaped groove acquired in the S101;
the specific method for determining the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove and the protruding position of the optical fiber V-shaped groove comprises the following steps:
determining the position of the optical fiber parallel to the substrate of the optical fiber V-shaped groove according to the bending condition of the optical fiber in the optical fiber V-shaped groove obtained in S101, constructing a mathematical model beta=arctan (H/minL) by combining the vertical distance calculated in S102, and determining the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove, wherein H represents the calculated vertical distance, L represents the distance value of the optical fiber end face from the parallel position, and beta represents the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove;
According to the bending condition of the optical fiber in the optical fiber V-shaped groove obtained in the step S101, obtaining the bending position of the optical fiber, wherein the obtained bending position is the protruding position of the optical fiber V-shaped groove;
the bending position closest to the optical fiber end face is obtained, the protruding position of the optical fiber V-shaped groove close to the optical ray end face is determined by combining the deflection angle of the optical fiber end face compared with the optical fiber V-shaped groove base, and a specific determination formula W is as follows:
constructing a plane coordinate system by taking the parallel position closest to the end face of the optical fiber as a coordinate origin;
when D-minL > 0:
W＝-tanβ*X+y X＜minD；
when D-minL < 0:
W＝D；
wherein D represents the nearest bending position to the optical fiber end face, y represents the vertical distance between the lowest point of the optical fiber end face and the substrate of the optical fiber V-shaped groove, X represents a variable, and W represents the determined protruding position of the optical fiber V-shaped groove close to the optical fiber end face;
s103: acquiring the pressure change condition applied to the optical fiber at the same vertical position, predicting the relative flatness of the optical fiber V-shaped groove at each position of the V-shaped groove by combining the protruding position of the optical fiber V-shaped groove determined in the step S102, and cleaning and polishing the optical fiber V-shaped groove based on the prediction result;
s103, predicting the relative flatness of each position of the optical fiber V-shaped groove comprises the following specific steps:
Acquiring the pressure change condition of the optical fiber at the same vertical position, comparing the acquired pressure change condition with the standard pressure change condition, determining the position of the optical fiber corresponding part in the V-shaped groove of the optical fiber in the abnormal force application time period and the abnormal force application time according to the comparison result, predicting the relative flatness of the V-shaped groove of the optical fiber at each position of the V-shaped groove based on the determination result and the protruding position of the V-shaped groove of the optical fiber determined in the step S102, and then:
a. when the abnormal position of the force application and the optical fiber are finally stoppedWhen the positions are not coincident, acquiring a force application condition corresponding to a force application abnormal time period at a force application abnormal position, and predicting the relative flatness of the optical fiber V-shaped groove at the force application abnormal position based on acquired information, wherein a specific prediction formula T is adopted 1 The method comprises the following steps:
wherein t represents the abnormal point in time of the force application, v represents the force application speed, t x v represents the vertical distance from the abnormal position of the force application to the upper surface of the substrate, and F t*v Representing the corresponding abnormal force application value when the vertical distance from the upper surface of the substrate is t x v, F t*v The standard force application value corresponding to the vertical distance t x v from the upper surface of the substrate is shown, and f is the force application value corresponding to the unit value of the relative flatness change;
b. When the force application abnormal position is overlapped with the final stop position of the optical fiber, T 2 =1-1/(C-C), where C represents the fiber stop height, C represents the fiber standard stop height, T 2 Calculating the projected length of the projected position in C-C, representing the predicted relative flatness of the V-groove of the optical fiber at the projected position, because the optical fiber cannot move to the standard position due to the blocking of the optical fiber body by the projected portion, and the vertical distance between the final stop position and the standard stop position of the optical fiber body can be substituted for the projected length of the projected position;
s20: after the optical fiber V-shaped groove is cleaned and polished, acquiring side images of the substrate by using an industrial camera again, acquiring the contact point position of the optical fiber end face and the optical fiber V-shaped groove based on the acquired images, and judging whether the V-shaped groove angle of the optical fiber V-shaped groove meets the standard according to acquired information;
s20 includes:
s201: acquiring a side image of the substrate by using an industrial camera, acquiring the position of a contact point between the end face of the optical fiber and the V-shaped groove of the optical fiber based on the acquired image, comparing the acquired position of the contact point with a standard position, and judging whether the V-shaped groove angle of the V-shaped groove of the optical fiber meets the standard according to a comparison result;
S202: based on the acquired image acquired in S201, acquiring the lowest point position of the optical fiber end face, calculating the vertical distance between the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face, and predicting the V-groove angle of the optical fiber V-groove by combining the vertical length of the lowest point position of the optical fiber end face from the substrate of the optical fiber V-groove, wherein the specific prediction formula Q is as follows:
Q＝τ-[(x*u)/(X*Y)]*τ；
wherein X represents the vertical length of the lowest point position of the optical fiber end face from the base of the optical fiber V-shaped groove, u represents the vertical distance between the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face, X represents the height of the optical fiber V-shaped groove, Y represents the standard width of the optical fiber V-shaped groove, tau represents the V-shaped groove angle corresponding to the standard optical fiber V-shaped groove, and Q represents the predicted V-shaped groove angle of the optical fiber V-shaped groove;
s203: processing and polishing the optical fiber V-shaped groove according to the predicted V-groove angle of the optical fiber V-shaped groove in the step S202;
s30: after the optical fiber V-shaped groove is cleaned, processed and polished, an industrial camera is used for collecting an image above the optical fiber V-shaped groove, brightness of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove surface is calculated based on the collected image, and the cleaning degree of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove surface is predicted based on a calculation result;
S30 includes:
s301: collecting an image above the optical fiber V-shaped groove by using an industrial camera, carrying out gray level binarization processing on the collected image, and acquiring gray level values corresponding to all positions of the optical fiber V-shaped groove after the processing;
s302: dividing the V groove into areas by using the area S, constructing a mathematical model according to the gray value obtained in the S201, calculating the brightness of the surface of the V groove, and particularly calculating the mathematical model K i The method comprises the following steps:
K i ＝1-(m i *S i )/255；
where i=1, 2, …, n denotes the number corresponding to the divided region, m i Represents the average gray value corresponding to the divided region with the number i, S i Represents the total area, K, corresponding to the part with gray value less than 255 in the divided area with the number i i Representing the brightness value corresponding to the surface of the divided area with the number i;
s303: constructing a model R according to the brightness value calculated in S202 i ＝(1-K i ) Predicting the cleanliness of the substrate and the surface of the V-shaped groove of the optical fiber, wherein R is as follows i The cleaning degree corresponding to the divided area with the number i is shown;
s304: and (3) performing secondary cleaning on each area according to the cleaning degree corresponding to each divided area predicted in the step (S203).
An optical fiber equipment visual data analysis system based on artificial intelligence: the system comprises an optical fiber V-shaped groove detection module, a V-groove angle prediction module and an optical fiber V-shaped groove application module;
The upper surface of the substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, and pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves;
the optical fiber V-shaped groove detection module is used for acquiring front and side images of the substrate by using an industrial camera, predicting the relative flatness of the optical fiber V-shaped groove at each position of the V-shaped groove based on the acquired images and the change condition of the applied pressure, cleaning and polishing the optical fiber V-shaped groove according to the prediction result, and transmitting the treatment completion information to the V-shaped groove angle prediction module after the cleaning and polishing treatment, wherein the optical fiber V-shaped groove is made of quartz glass, the optical fiber is a soft optical fiber, and the optical fiber moves at a uniform speed under the action of the applied pressure;
the optical fiber V-shaped groove detection module comprises an information acquisition unit, a deflection angle determination unit, a protruding position determination unit, a relative flatness prediction unit and a first processing unit;
the information acquisition unit acquires front and side images of the substrate by using an industrial camera, acquires the bending condition of the optical fiber in the V-shaped groove of the optical fiber and the highest point position of the optical fiber at the bending position according to the acquired front image, and transmits acquired information and the acquired side image to the deflection angle determination unit and the convex position determination unit;
The deflection angle determining unit receives the acquired information and the acquired side images transmitted by the information acquiring unit, acquires the contact point position of the optical fiber and the optical fiber V-shaped groove, the lowest point position of the optical fiber and the lowest point position of the optical fiber end surface based on the acquired side images, calculates the vertical distance between the acquired lowest point position of the optical fiber end surface and the lowest point position of the optical fiber, determines the position of the optical fiber parallel to the optical fiber V-shaped groove substrate according to the bending condition of the received optical fiber in the optical fiber V-shaped groove, constructs a mathematical model beta=arctan (H/minL) by combining the calculated vertical distance, determines the deflection angle of the optical fiber end surface relative to the optical fiber V-shaped groove substrate, and transmits the determined deflection angle to the protruding position determining unit, wherein H represents the calculated vertical distance, L represents the distance value of the optical fiber end surface from the parallel position, and beta represents the deflection angle of the optical fiber end surface relative to the optical fiber V-shaped groove substrate;
the convex position determining unit receives the deflection angle transmitted by the deflection angle determining unit and the acquired information transmitted by the information acquiring unit, acquires the bending position of the optical fiber according to the bending condition of the optical fiber in the optical fiber V-shaped groove, acquires the bending position closest to the end face of the optical fiber according to the bending condition of the optical fiber in the optical fiber V-shaped groove, and constructs a determination formula by combining the deflection angle of the end face of the optical fiber compared with the base of the optical fiber V-shaped groove Determining the protruding position of the optical fiber V-shaped groove close to the light end face, and transmitting the determined protruding position to a relative flatness prediction unit, wherein D represents the nearest bending position of the optical fiber end face, y represents the vertical distance of the lowest point of the optical fiber end face from the base of the optical fiber V-shaped groove, X represents a variable and X < minD, W represents the protruding position of the determined optical fiber V-shaped groove close to the optical fiber end face, and when D-minL is more than 0, the protruding position is made to be equal to or smaller than that of the optical fiber V-shaped groove>When D-minL < 0, let +.>
The relative flatness prediction unit receives the protruding position transmitted by the protruding position determination unit, acquires the applied pressure change condition received by the optical fiber at the same vertical position, compares the acquired applied pressure change condition with the standard applied pressure change condition, determines the position of the optical fiber corresponding part in the optical fiber V-shaped groove during the abnormal force application time period and the abnormal force application according to the comparison result, judges whether the abnormal force application position is overlapped with the final stop position of the optical fiber, and if not, judges the abnormal force application position to be overlapped with the final stop position of the optical fiber according to the prediction modelPredicting the relative flatness of the optical fiber V-shaped groove at the abnormal force application position, and if the relative flatness is overlapped, according to a prediction model T 2 Predicting the relative flatness of the V-groove at the protruding position of the optical fiber, wherein t represents the abnormal time point of the force application, V represents the force application speed, t represents the vertical distance of the abnormal position of the force application from the upper surface of the substrate, and F, =1-1/(C-C) t*v Representing the corresponding abnormal force application value when the vertical distance from the upper surface of the substrate is t x v, F t*v The standard force application value corresponding to the vertical distance from the upper surface of the substrate is T x v, f represents the force application value corresponding to the unit value of the relative flatness change, C represents the fiber stop height, C represents the fiber standard stop height, T 2 Indicating the predicted relative flatness of the fiber V-groove at the protrusion position;
the first processing unit receives the prediction result transmitted by the relative flatness prediction unit, cleans and polishes the optical fiber V-shaped groove based on the received information, and transmits the treatment completion information to the V-groove angle prediction module;
the V-groove angle prediction module is used for receiving the processing completion information transmitted by the optical fiber V-groove detection module, acquiring a side image of the substrate by using the industrial camera again based on the receiving information, acquiring the contact point position of the optical fiber end face and the optical fiber V-groove based on the acquired image, predicting the V-groove angle of the pipe new concept V-groove according to the acquired information, processing and polishing the V-groove based on a prediction result, and transmitting the processing completion information to the optical fiber V-groove application module after the processing and polishing;
The V-groove angle prediction module comprises a judging unit, a V-groove angle prediction unit and a second processing unit;
the judging unit receives the processing completion information transmitted by the first processing unit, acquires a side image of the substrate by using the industrial camera again based on the receiving information, acquires the contact point position of the optical fiber end face and the optical fiber V-shaped groove based on the acquired image, compares the acquired contact point position with the standard position, judges whether the V-shaped groove angle of the optical fiber V-shaped groove meets the standard according to the comparison result, transmits the judging result to the optical fiber V-shaped groove application module if the V-shaped groove angle meets the standard (namely, the acquired contact point position is coincident with the standard position), and transmits the judging result and the acquired side image to the V-shaped groove angle predicting unit if the V-shaped groove angle does not meet the standard (namely, the acquired contact point position is not coincident with the standard position);
the V-groove angle prediction unit receives the judgment result transmitted by the judgment unit and the acquired side image, acquires the lowest point position of the optical fiber end surface based on the received side image, calculates the vertical distance between the lowest point position of the optical fiber end surface and the standard lowest point position of the optical fiber end surface, combines the vertical length of the lowest point position of the optical fiber end surface from the base of the V-shaped groove of the optical fiber, constructs a prediction model Q=tau- [ (X u)/(X X Y) ]tau, predicts the V-groove angle of the V-shaped groove of the optical fiber, and transmits the predicted V-groove angle to the second processing unit, wherein X represents the vertical length of the lowest point position of the optical fiber end surface from the base of the V-shaped groove of the optical fiber, u represents the vertical distance between the lowest point position of the optical fiber end surface and the standard lowest point position of the optical fiber end surface, X represents the height of the V-shaped groove of the optical fiber, Y represents the standard width of the V-shaped groove of the optical fiber, tau represents the V-groove angle corresponding to the standard V-shaped groove of the optical fiber, and Q represents the V-groove angle of the predicted V-shaped groove of the optical fiber V-shaped groove;
The second processing unit receives the V-groove angle transmitted by the V-groove angle prediction unit, processes and polishes the optical fiber V-groove based on the received information, and transmits the processed information to the optical fiber V-groove application module;
the optical fiber V-shaped groove application module is used for receiving the processing completion information transmitted by the V-shaped groove angle prediction module, acquiring an upper image of the optical fiber V-shaped groove by using an industrial camera based on the receiving information, calculating the brightness of the surfaces of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove based on the acquired image, predicting the cleanliness of the surfaces of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove based on the calculation result, and judging whether the optical fiber V-shaped groove can be directly applied according to the prediction result;
the optical fiber V-shaped groove application module comprises an image processing unit, a V-groove brightness calculation unit and a cleanliness prediction unit;
the image processing unit receives the processing completion information transmitted by the second processing unit or the judging result transmitted by the judging unit, acquires an image above the optical fiber V-shaped groove by using an industrial camera based on the receiving information, carries out gray level binarization processing on the acquired image, acquires gray level values corresponding to positions of the optical fiber V-shaped groove after the processing, and transmits the acquired gray level values to the V-groove brightness calculating unit;
The V-groove brightness calculation unit receives the gray value transmitted by the image processing unit, the V-groove brightness calculation unit divides the V-groove into areas with the area s, and a mathematical model K is constructed by combining the received gray value i ＝1-(m i *S i ) 255, calculating the brightness of the V-groove surface, and transmitting the calculation result to a cleaning degree prediction unit, wherein i=1, 2, …, n represents the number corresponding to the divided region, m i Represents the average gray value corresponding to the divided region with the number i, S i Represents the total area, K, corresponding to the part with gray value less than 255 in the divided area with the number i i Representing the brightness value corresponding to the surface of the divided area with the number i;
the cleanliness prediction unit receives the calculation result transmitted by the V-groove brightness calculation unit, and constructs a model R based on the received information i ＝(1-K i ) For V-groovePredicting the cleaning degree of the surface, if R i =1, then it means that the fiber V-groove can be directly applied, whereas, then it means that the fiber V-groove cannot be directly applied.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. An optical fiber equipment visual data analysis method based on artificial intelligence is characterized in that: the method comprises the following steps:
s10: the method comprises the steps that the upper surface of a substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves, an industrial camera is used for collecting images of the front face and the side face of the substrate, the relative flatness of the optical fiber V-shaped grooves at all positions of the V-shaped grooves is predicted based on the collected images and the change condition of the applied pressure, and cleaning and polishing treatment are carried out on the optical fiber V-shaped grooves according to the prediction result;
s20: after the optical fiber V-shaped groove is cleaned and polished, acquiring side images of the substrate by using an industrial camera again, acquiring the contact point position of the optical fiber end face and the optical fiber V-shaped groove based on the acquired images, and judging whether the V-shaped groove angle of the optical fiber V-shaped groove meets the standard according to acquired information;
S30: after the optical fiber V-shaped groove is cleaned, processed and polished, an industrial camera is utilized to collect images above the optical fiber V-shaped groove, brightness of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove surface is calculated based on the collected images, and the cleaning degree of the optical fiber V-shaped groove substrate and the optical fiber V-shaped groove surface is predicted based on a calculation result.
2. The method for analyzing visual data of optical fiber equipment based on artificial intelligence according to claim 1, wherein the method comprises the following steps: the S10 includes:
s101: based on the acquired front image, acquiring the bending condition of the optical fiber in the light V-shaped groove and the highest point position of the optical fiber in the bending position;
s102: based on the acquired side images, the contact point position of the optical fiber and the optical fiber V-shaped groove, the lowest point position of the optical fiber and the lowest point position of the optical fiber end face are acquired, the vertical distance between the acquired lowest point position of the optical fiber end face and the optical fiber lowest point position is calculated, and the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove and the protruding position of the optical fiber V-shaped groove are determined by combining the bending condition of the optical fiber in the optical fiber V-shaped groove acquired in the S101;
the specific method for determining the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove and the protruding position of the optical fiber V-shaped groove comprises the following steps:
Determining the position of the optical fiber parallel to the substrate of the optical fiber V-shaped groove according to the bending condition of the optical fiber in the optical fiber V-shaped groove obtained in S101, constructing a mathematical model beta=arctan (H/minL) by combining the vertical distance calculated in S102, and determining the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove, wherein H represents the calculated vertical distance, L represents the distance value of the optical fiber end face from the parallel position, and beta represents the deflection angle of the optical fiber end face compared with the substrate of the optical fiber V-shaped groove;
according to the bending condition of the optical fiber in the optical fiber V-shaped groove obtained in the step S101, obtaining the bending position of the optical fiber, wherein the obtained bending position is the protruding position of the optical fiber V-shaped groove;
the bending position closest to the optical fiber end face is obtained, the protruding position of the optical fiber V-shaped groove close to the optical ray end face is determined by combining the deflection angle of the optical fiber end face compared with the optical fiber V-shaped groove base, and a specific determination formula W is as follows:
constructing a plane coordinate system by taking the parallel position closest to the end face of the optical fiber as a coordinate origin;
when D-minL > 0:
W＝-tanβ*X+y X＜minD；
when D-minL < 0:
W＝D；
wherein D represents the nearest bending position to the optical fiber end face, y represents the vertical distance between the lowest point of the optical fiber end face and the substrate of the optical fiber V-shaped groove, X represents a variable, and W represents the determined protruding position of the optical fiber V-shaped groove close to the optical fiber end face;
S103: and acquiring the pressure change condition applied to the optical fiber at the same vertical position, predicting the relative flatness of the V-shaped groove of the optical fiber at each position of the V-shaped groove by combining the protruding position of the V-shaped groove of the optical fiber determined in the step S102, and cleaning and polishing the V-shaped groove of the optical fiber based on the prediction result.
3. The method for analyzing visual data of optical fiber equipment based on artificial intelligence according to claim 2, wherein the method comprises the following steps: the specific method for predicting the relative flatness of each position of the optical fiber V-shaped groove by S103 is as follows:
acquiring the pressure change condition of the optical fiber at the same vertical position, comparing the acquired pressure change condition with the standard pressure change condition, determining the position of the optical fiber corresponding part in the V-shaped groove of the optical fiber in the abnormal force application time period and the abnormal force application time according to the comparison result, predicting the relative flatness of the V-shaped groove of the optical fiber at each position of the V-shaped groove based on the determination result and the protruding position of the V-shaped groove of the optical fiber determined in the step S102, and then:
a. when the abnormal position of the force application and the final stop position of the optical fiber are not coincident, acquiring the force application condition corresponding to the abnormal time period of the force application at the abnormal position of the force application, and predicting the relative flatness of the V-shaped groove of the optical fiber at the abnormal position of the force application based on the acquired information, wherein a specific prediction formula T is adopted 1 The method comprises the following steps:
wherein t represents the abnormal point in time of the force application, v represents the force application speed, t x v represents the vertical distance from the abnormal position of the force application to the upper surface of the substrate, and F t*v Representing the corresponding abnormal force application value when the vertical distance from the upper surface of the substrate is t x v, F t*v The standard force application value corresponding to the vertical distance t x v from the upper surface of the substrate is shown, and f is the force application value corresponding to the unit value of the relative flatness change;
b. when the force application abnormal position is overlapped with the final stop position of the optical fiber, T 2 =1-1/(C-C), where C represents the fiber stop height, C represents the fiber standard stop height, T 2 The projected length of the projected position is calculated as C-C, representing the predicted relative flatness of the fiber V-groove at the projected position, because the optical fiber cannot move to the standard position due to the blocking of the fiber body by the projected portion, and the vertical distance between the final stop position and the standard stop position of the fiber body can be substituted for the projected length of the projected position.
4. A method for analyzing visual data of optical fiber equipment based on artificial intelligence according to claim 3, wherein: the S20 includes:
s201: acquiring a side image of the substrate by using an industrial camera, acquiring the position of a contact point between the end face of the optical fiber and the V-shaped groove of the optical fiber based on the acquired image, comparing the acquired position of the contact point with a standard position, and judging whether the V-shaped groove angle of the V-shaped groove of the optical fiber meets the standard according to a comparison result;
S202: based on the acquired image acquired in S201, acquiring the lowest point position of the optical fiber end face, calculating the vertical distance between the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face, and predicting the V-groove angle of the optical fiber V-groove by combining the vertical length of the lowest point position of the optical fiber end face from the substrate of the optical fiber V-groove, wherein the specific prediction formula Q is as follows:
Q＝τ-[(x*u)/(X*Y)]*τ；
wherein X represents the vertical length of the lowest point position of the optical fiber end face from the base of the optical fiber V-shaped groove, u represents the vertical distance between the lowest point position of the optical fiber end face and the standard lowest point position of the optical fiber end face, X represents the height of the optical fiber V-shaped groove, Y represents the standard width of the optical fiber V-shaped groove, tau represents the V-shaped groove angle corresponding to the standard optical fiber V-shaped groove, and Q represents the predicted V-shaped groove angle of the optical fiber V-shaped groove;
s203: and (3) processing and polishing the optical fiber V-shaped groove according to the V-groove angle of the predicted optical fiber V-shaped groove in the step (S202).
5. The method for analyzing visual data of optical fiber equipment based on artificial intelligence according to claim 4, wherein the method comprises the following steps: the S30 includes:
s301: collecting an image above the optical fiber V-shaped groove by using an industrial camera, carrying out gray level binarization processing on the collected image, and acquiring gray level values corresponding to all positions of the optical fiber V-shaped groove after the processing;
S302: dividing the V groove into areas by using the area S, constructing a mathematical model according to the gray value obtained in the S201, calculating the brightness of the surface of the V groove, and particularly calculating the mathematical model K i The method comprises the following steps:
K i ＝1-(m i *S i )/255；
where i=1, 2, …, n denotes the number corresponding to the divided region, m i Represents the average gray value corresponding to the divided region with the number i, S i Represents the total area, K, corresponding to the part with gray value less than 255 in the divided area with the number i i Representing the brightness value corresponding to the surface of the divided area with the number i;
s303: constructing a model R according to the brightness value calculated in S202 i ＝(1-K i ) Predicting the cleanliness of the substrate and the surface of the V-shaped groove of the optical fiber, wherein R is as follows i The cleaning degree corresponding to the divided area with the number i is shown;
s304: and (3) performing secondary cleaning on each area according to the cleaning degree corresponding to each divided area predicted in the step (S203).
6. An optical fiber equipment vision data analysis system based on artificial intelligence, which is characterized in that: the system comprises an optical fiber V-shaped groove detection module, a V-groove angle prediction module and an optical fiber V-shaped groove application module;
the upper surface of the substrate is provided with a plurality of optical fiber V-shaped grooves, optical fibers are placed in the optical fiber V-shaped grooves, and pressure is applied to the placed optical fibers to enable the optical fibers to be closely attached to the optical fiber V-shaped grooves;
The optical fiber V-shaped groove detection module is used for acquiring front and side images of the substrate by using an industrial camera, predicting the relative flatness of the optical fiber V-shaped groove at each position of the V-shaped groove based on the acquired images and the change condition of the applied pressure, cleaning and polishing the optical fiber V-shaped groove according to the prediction result, and transmitting the treatment completion information to the V-shaped groove angle prediction module after the cleaning and polishing treatment;
the V-groove angle prediction module is used for receiving the processing completion information transmitted by the optical fiber V-groove detection module, acquiring a side image of the substrate by using the industrial camera again based on the receiving information, acquiring the contact point position of the optical fiber end face and the optical fiber V-groove based on the acquired image, predicting the V-groove angle of the pipe new concept V-groove according to the acquired information, processing and polishing the V-groove based on the prediction result, and transmitting the processing completion information to the optical fiber V-groove application module after the processing and polishing;
the optical fiber V-shaped groove application module is used for receiving processing completion information transmitted by the V-shaped groove angle prediction module, acquiring an image above the optical fiber V-shaped groove by using an industrial camera based on the receiving information, calculating the brightness of the surfaces of the substrate of the optical fiber V-shaped groove and the optical fiber V-shaped groove based on the acquired image, predicting the cleanliness of the surfaces of the substrate of the optical fiber V-shaped groove and the optical fiber V-shaped groove based on the calculation result, and judging whether the optical fiber V-shaped groove can be directly applied according to the prediction result.
7. The artificial intelligence based optical fiber plant visual data analysis system of claim 6, wherein: the optical fiber V-shaped groove detection module comprises an information acquisition unit, a deflection angle determination unit, a protruding position determination unit, a relative flatness prediction unit and a first processing unit;
the information acquisition unit acquires front and side images of the substrate by using an industrial camera, acquires the bending condition of the optical fiber in the V-shaped groove of the optical fiber and the highest point position of the optical fiber at the bending position according to the acquired front image, and transmits acquired information and the acquired side image to the deflection angle determination unit and the convex position determination unit;
the deflection angle determining unit receives acquired information and acquired side images transmitted by the information acquiring unit, acquires the contact point position of the optical fiber and the optical fiber V-shaped groove, the lowest point position of the optical fiber and the lowest point position of the optical fiber end surface based on the acquired side images, calculates the vertical distance between the acquired lowest point position of the optical fiber end surface and the lowest point position of the optical fiber, determines the position of the optical fiber parallel to the optical fiber V-shaped groove substrate according to the bending condition of the received optical fiber in the optical fiber V-shaped groove, combines the calculated vertical distance, constructs a mathematical model beta=arctan (H/minL), determines the deflection angle of the optical fiber end surface compared with the optical fiber V-shaped groove substrate, and transmits the determined deflection angle to the protruding position determining unit, wherein H represents the calculated vertical distance, L represents the distance value of the optical fiber end surface from the parallel position, and beta represents the deflection angle of the optical fiber end surface compared with the optical fiber V-shaped groove substrate;
The convex position determining unit receives the deflection angle transmitted by the deflection angle determining unit and the acquired information transmitted by the information acquiring unit, acquires the bending position of the optical fiber according to the bending condition of the optical fiber in the optical fiber V-shaped groove, and acquires the bending position which is the convex position of the optical fiber V-shaped groove and is closest to the end face of the optical fiber according to the bending condition of the optical fiber in the optical fiber V-shaped grooveThe bending position of the optical fiber is obtained, and a definite formula is constructed by combining the deflection angle of the end face of the optical fiber compared with the base of the V-shaped groove of the optical fiberDetermining the protruding position of the optical fiber V-shaped groove close to the light end face, and transmitting the determined protruding position to a relative flatness prediction unit, wherein D represents the nearest bending position of the optical fiber end face, y represents the vertical distance of the lowest point of the optical fiber end face from the base of the optical fiber V-shaped groove, X represents a variable and X < minD, W represents the protruding position of the determined optical fiber V-shaped groove close to the optical fiber end face, and when D-minL is more than 0, the protruding position is made to be equal to or smaller than that of the optical fiber V-shaped groove> When D-minL < 0, let +.>
The relative flatness prediction unit receives the protruding position transmitted by the protruding position determination unit, acquires the applied pressure change condition received by the optical fiber at the same vertical position, compares the acquired applied pressure change condition with the standard applied pressure change condition, determines the position of the optical fiber corresponding part in the V-shaped groove of the optical fiber during abnormal force application time period and abnormal force application according to the comparison result, judges whether the abnormal force application position is coincident with the final stop position of the optical fiber, and if not, judges the abnormal force application position to be coincident with the final stop position of the optical fiber according to the prediction model Predicting the relative flatness of the optical fiber V-shaped groove at the abnormal force application position, and if the relative flatness is overlapped, according to a prediction model T 2 Predicting the relative flatness of the optical fiber V-groove at the protruding position, where t represents the time point of abnormal force application and V represents the time point, by =1-1/(C-C), and transmitting the prediction result to the first processing unitThe force application speed, t.v, represents the vertical distance from the force application abnormal position to the upper surface of the substrate, F t*v Representing the corresponding abnormal force application value when the vertical distance from the upper surface of the substrate is t x v, F t*v The standard force application value corresponding to the vertical distance from the upper surface of the substrate is T x v, f represents the force application value corresponding to the unit value of the relative flatness change, C represents the fiber stop height, C represents the fiber standard stop height, T 2 Indicating the predicted relative flatness of the fiber V-groove at the protrusion position;
the first processing unit receives the prediction result transmitted by the relative flatness prediction unit, cleans and polishes the optical fiber V-shaped groove based on the received information, and transmits the processing completion information to the V-groove angle prediction module.
8. The artificial intelligence based optical fiber plant visual data analysis system of claim 7, wherein: the V-groove angle prediction module comprises a judging unit, a V-groove angle prediction unit and a second processing unit;
The judging unit receives the processing completion information transmitted by the first processing unit, acquires a side image of the substrate by using the industrial camera again based on the receiving information, acquires the contact point position of the optical fiber end face and the optical fiber V-shaped groove based on the acquired image, compares the acquired contact point position with a standard position, judges whether the V-shaped groove angle of the optical fiber V-shaped groove meets the standard according to a comparison result, transmits the judging result to the optical fiber V-shaped groove application module if the V-shaped groove angle meets the standard, and transmits the judging result and the acquired side image to the V-shaped groove angle predicting unit if the V-shaped groove angle does not meet the standard;
the V-groove angle prediction unit receives the judgment result transmitted by the judgment unit and the acquired side image, acquires the lowest point position of the optical fiber end surface based on the received side image, calculates the vertical distance between the lowest point position of the optical fiber end surface and the standard lowest point position of the optical fiber end surface, combines the vertical length of the lowest point position of the optical fiber end surface from the base of the V-shaped groove of the optical fiber, constructs a prediction model Q=tau- [ (X u)/(X X Y) ]tau, predicts the V-groove angle of the V-shaped groove of the optical fiber, and transmits the predicted V-groove angle to the second processing unit, wherein X represents the vertical length of the lowest point position of the optical fiber end surface from the base of the V-shaped groove of the optical fiber, u represents the vertical distance between the lowest point position of the optical fiber end surface and the standard lowest point position of the optical fiber end surface, X represents the height of the V-shaped groove of the optical fiber, Y represents the standard width of the V-shaped groove of the optical fiber, tau represents the V-shaped groove angle corresponding to the standard optical fiber V-shaped groove, and Q represents the V-groove angle of the predicted V-shaped groove;
The second processing unit receives the V-groove angle transmitted by the V-groove angle prediction unit, processes and polishes the optical fiber V-shaped groove based on the received information, and transmits the processed information to the optical fiber V-shaped groove application module.
9. The artificial intelligence based optical fiber plant visual data analysis system of claim 8, wherein: the optical fiber V-shaped groove application module comprises an image processing unit, a V-groove brightness calculation unit and a cleanliness prediction unit;
the image processing unit receives the processing completion information transmitted by the second processing unit or the judging result transmitted by the judging unit, acquires an image above the optical fiber V-shaped groove by using an industrial camera based on the receiving information, carries out gray level binarization processing on the acquired image, acquires gray level values corresponding to all positions of the optical fiber V-shaped groove after the processing, and transmits the acquired gray level values to the V-groove brightness calculating unit;
the V-groove brightness calculation unit receives the gray value transmitted by the image processing unit, the V-groove brightness calculation unit divides the V-groove into areas with the area s, and a mathematical model K is constructed by combining the received gray value i ＝1-(m i *S i ) 255, calculating the brightness of the V-groove surface, and transmitting the calculation result to a cleaning degree prediction unit, wherein i=1, 2, …, n represents the number corresponding to the divided region, m i Represents the average gray value corresponding to the divided region with the number i, S i Represents the total area, K, corresponding to the part with gray value less than 255 in the divided area with the number i i Indicating the brightness corresponding to the surface of the divided area with the number iA degree value;
the cleanliness prediction unit receives the calculation result transmitted by the V-groove brightness calculation unit, and constructs a model R based on the received information i ＝(1-K i ) Predicting the cleaning degree of the V groove surface, if R i =1, then it means that the fiber V-groove can be directly applied, whereas, then it means that the fiber V-groove cannot be directly applied.
CN202310479929.6A 2023-04-28 2023-04-28 Optical fiber equipment visual data analysis system and method based on artificial intelligence Pending CN116500057A (en)

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Publication number Priority date Publication date Assignee Title
JPH05157928A (en) * 1991-12-03 1993-06-25 Sumitomo Electric Ind Ltd Alignment device for optical fiber
JP2013092758A (en) * 2011-10-04 2013-05-16 Citizen Holdings Co Ltd Optical device and method for manufacturing optical device
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