CN108227077A - Ribbon fiber splice loss, splice attenuation evaluation method and system - Google Patents
Ribbon fiber splice loss, splice attenuation evaluation method and system Download PDFInfo
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- G02B6/00—Light guides; Structural details of arrangements comprising light guides and other optical elements, e.g. couplings
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Abstract
The present invention proposes that a kind of ribbon fiber splice loss, splice attenuation evaluation method and system, this method include：The ribbon fiber image after the completion of welding is analyzed, calculates the curvature parameters of the certain distance range of optical fiber fusion welding point, the curvature parameters include：Covering top edge curvature maximum, covering lower edge curvature maximum, fibre core top edge curvature maximum, fibre core lower edge curvature maximum and axle center curvature maximum；The curved parameter of cause of fibre-optical bending may be led to by obtaining in test optical fiber result；Curved parameter and curvature parameters are caused as preliminary independent variable using described, using the active loss of test as dependent variable, several test datas are obtained as training sample, linear regression calculating is carried out, optimization independent variable therein is filtered out according to the related coefficient between independent variable and dependent variable；According to the active loss and optimization independent variable structure multiple linear regression model, loss evaluation is carried out according to the multiple linear regression model.Improve the accuracy of loss evaluation.
Description
Technical field
The present invention relates to optical fiber splicer technical field more particularly to a kind of ribbon fiber splice loss, splice attenuation evaluation methods
And system.
Background technology
Optical fiber splicer is mainly used for the construction and maintenance of optical cable in optic communication, applied to telecom operators, engineering company
With the lightguide cable link engineering construction, line upkeep, emergency first-aid repair of public institution, production, test and the Research Center of optical fibre device
Research, teaching etc..
Although loss estimation refers to an estimation to practical splice loss, splice attenuation as a result, practical splice loss, splice attenuation cannot be represented,
But certain reference value can be played, and be essential step during fused fiber splice.Entire optical fiber adjustment and
During fused fiber splice, by camera the optical fiber image information monitored, send into the Algorithm Analysis program of heat sealing machine,
Loss estimation is calculated by heat sealing machine algorithm routine, whole process is convenient and efficient, and operator need to only perform fusing operation, and welding is complete
Cheng Hou, the loss estimation calculated can be presented on a display screen, operating personnel can be allowed to have one to the quality of oneself welding in this way
A quick cognition.
In the prior art, the thickness variation of the optical fiber near the considerations of calculating of loss estimation is only simple fusion point is to damage
The contribution of consumption, Consideration is excessively single, so as to cause there is poor fitting phenomenon.Other factors, such as：The bending of fusion point is drawn
The loss that rises depends merely on loss that image can not observe etc. and can not obtain quantitative analysis and calculating.Therefore existing estimation damage
The splice loss, splice attenuation precision that the calculation of consumption obtains is relatively low.
Invention content
The technical problems to be solved by the invention are to provide a kind of ribbon fiber splice loss, splice attenuation evaluation method and system, can carry
The accuracy of high loss evaluation.
To solve the above problems, the present invention proposes a kind of ribbon fiber splice loss, splice attenuation evaluation method, include the following steps：
S1：The ribbon fiber image after the completion of welding is analyzed, calculates the curvature ginseng of the certain distance range of optical fiber fusion welding point
Number, the curvature parameters include：Covering top edge curvature maximum, covering lower edge curvature maximum, fibre core top edge curvature
Maximum value, fibre core lower edge curvature maximum and axle center curvature maximum；
S2：The curved parameter of cause of fibre-optical bending may be led to by obtaining in test optical fiber result；
S3：Curved parameter and curvature parameters are caused as preliminary independent variable using described, using the active loss of test as dependent variable,
Several test datas are obtained as training sample, linear regression calculating are carried out, according to the phase relation between independent variable and dependent variable
Number sieve selects optimization independent variable therein；
S4：According to the active loss and optimization independent variable structure multiple linear regression model, according to the multiple linear
Regression model carries out loss evaluation.
According to one embodiment of present invention, the step S1 includes the following steps：
S11：For each row pixel of the certain distance range of optical fiber fusion welding point in the ribbon fiber image, calculate every
Brightness value on row；
S12：For each column pixel, traversal from top to bottom or from top to bottom is carried out, if connecting after brightness mutation
The continuous brightness value for several pixels occur is less than or greater than shadow lightness value, then is just judged to rough covering top edge, rough covering
Lower edge, rough fibre core top edge, rough fibre core lower edge, and according to the rough fibre core top edge, rough fibre core lower edge
Between pixel brightness value calculate rough shaft core position；
S13：For each column pixel, according to the rough covering top edge, rough covering lower edge, rough fibre core top
Edge, rough fibre core lower edge and rough shaft core position carry out sub-pix level calculation, obtain covering top edge, the covering on each row
Lower edge, fibre core top edge, fibre core lower edge and shaft core position；
S14：According to covering top edge, covering lower edge, fibre core top edge, fibre core lower edge and the shaft core position on each row
Depict discrete fiber information curve；
S15：The curvature of each discrete point in the fiber information curve is solved, maximum curvature is calculated, to obtain the covering
Top edge curvature maximum, covering lower edge curvature maximum, fibre core top edge curvature maximum, fibre core lower edge maximum curvature
Value and axle center curvature maximum.
According to one embodiment of present invention, it has been included in the ribbon fiber image when shadow lightness value is non-welding
The luminance mean value of one row pixel of whole optical fiber.
According to one embodiment of present invention, in the step S12, if time for the progress of each column pixel from top to bottom
It goes through, then includes the following steps：
S121a：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then using the several points or wherein as rough covering top edge；
S122a：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough fibre core top edge；
S123a：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then the several points or wherein conduct rough fibre core lower edge；
S124a：The luminance data of pixel between rough fibre core top edge, rough fibre core lower edge, uses barycenter
Method calculates rough shaft core position；
S125a：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough covering lower edge；
Wherein, the step S124a and S125a interchangeables；
If for the traversal of each column pixel progress from top to bottom, include the following steps：
S121b：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then using the several points or wherein as rough covering lower edge；
S122b：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough fibre core lower edge；
S123b：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then the several points or wherein conduct rough fibre core top edge；
S124b：The luminance data of pixel between rough fibre core top edge, rough fibre core lower edge, uses barycenter
Method calculates rough shaft core position；
S125b：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough covering top edge；
Wherein, the step S124b and S125b interchangeables.
According to one embodiment of present invention, the step S13 includes：
S131：Respectively to the rough covering top edge, rough covering lower edge, rough fibre core top edge, rough fibre core
The point set up and down of lower edge and corresponding brightness value carry out conic fitting, the shadow lightness value are substituting to each secondary
In function, solution obtains covering top edge, covering lower edge, fibre core top edge, the fibre core lower edge on each row；
S132：Point set up and down and corresponding brightness value to the rough shaft core position carry out conic fitting, solve
The symmetry axis of corresponding One- place 2-th Order function, the corresponding pixel of the symmetry axis is as shaft core position.
According to one embodiment of present invention, it is described that curved parameter is caused to include axle center offset, left side optical fiber in the step S2
Cutting angle, right side fiber cut angle, fiber end face spacing, optical fiber promote lap.
According to one embodiment of present invention, it in the step S2, further includes：Obtain the electric discharge ginseng in test optical fiber result
Number, the discharge parameter include：Fritting strength of discharge, fritting discharge time, welding strength of discharge, welding discharge time；Step
In S3, curved parameter, discharge parameter and curvature parameters are caused as preliminary independent variable using described.
According to one embodiment of present invention, in the step S3, according to the related coefficient between independent variable and dependent variable
The optimization independent variable filtered out includes：Axle center offset, left side fiber cut angle, right side fiber cut angle, optical fiber promote weight
Folded amount, fibre core top edge curvature maximum, fibre core lower edge curvature maximum, axle center curvature maximum.
According to one embodiment of present invention, it in the step S3, obtains in several test datas, a part is as training
Sample carries out linear regression calculating, and another part carries out regression model inspection as test sample.
According to one embodiment of present invention, in the step S4, the multiple linear regression model constructed is：
Wherein, loss, x are estimated in Loss expressions1Represent axle center offset, x2Represent left side fiber cut angle, x3Represent right side
Fiber cut angle, x4Represent that optical fiber promotes lap, x5Represent fibre core top edge curvature maximum, x6Represent fibre core lower edge
Curvature maximum, x7Represent axle center curvature maximum, β0For constant term, β1~β7For regression coefficient.
The present invention also provides a kind of ribbon fiber splice loss, splice attenuation estimating system, including：
Curvature parameters computing module：The ribbon fiber image after the completion of analysis welding is performed, calculates the one of optical fiber fusion welding point
The curvature parameters of set a distance range, the curvature parameters include：Covering top edge curvature maximum, covering lower edge maximum curvature
Value, fibre core top edge curvature maximum, fibre core lower edge curvature maximum and axle center curvature maximum；
Affecting parameters computing module：Perform the curved parameter of cause for obtaining and may leading to fibre-optical bending in test optical fiber result；
Independent variable optimization module：It performs and causes curved parameter and curvature parameters as preliminary independent variable using described, by the reality of test
Border loss obtains several test datas as training sample as dependent variable, progress linear regression calculating, according to independent variable and because
Related coefficient between variable filters out optimization independent variable therein；
Loss evaluation module：It performs according to the active loss and optimization independent variable structure multiple linear regression model, root
Loss evaluation is carried out according to the multiple linear regression model.
After adopting the above technical scheme, the present invention has the advantages that compared with prior art：
The method that the present invention breaks through conventional fiber heat sealing machine loss evaluation introduces covering top edge curvature maximum, covering
Lower edge curvature maximum, fibre core top edge curvature maximum, fibre core lower edge curvature maximum and axle center curvature maximum
These curvature parameters and part may cause the splicing parameter that optical fiber bends, and analyze multi-facetedly and estimate welding damage
Consumption, can avoid the occurrence of poor fitting phenomenon, improve the accuracy of ribbon fiber heat sealing machine loss estimation；
By fixed roughly to covering top edge, covering lower edge, fibre core top edge, fibre core lower edge, shaft core position progress
It behind position, then is accurately positioned, improves positioning accuracy；Wherein, during being accurately positioned, the position of coarse localization is chosen
Point set up and down carry out conic fitting, obtain accurate position by solving One- place 2-th Order function so that positioning accurate
Really to sub-pix rank, positioning accuracy is improved.
Description of the drawings
Fig. 1 is the flow diagram of the ribbon fiber splice loss, splice attenuation evaluation method of one embodiment of the invention；
Fig. 2 a-2e are the construction feature type schematic diagram of fusion point；
Fig. 3 a are the 4 two-core optical fiber images of one embodiment of the invention and the topography of the first core fibre intercepted out；
Fig. 3 b are the corresponding brightness waveform schematic diagram of dotted portion in Fig. 3 a topographies；
Fig. 4 a-4e are the matched curve signal in the covering of one embodiment of the invention and the lower edges of fibre core and axle center
Figure；
Fig. 5 is the schematic diagram of the fiber information curve of one embodiment of the invention.
Specific embodiment
In order to make the foregoing objectives, features and advantages of the present invention clearer and more comprehensible, below in conjunction with the accompanying drawings to the present invention
Specific embodiment be described in detail.
Many details are elaborated in the following description in order to fully understand the present invention.But the present invention can be with
Much implement different from other manner described here, those skilled in the art can be in the situation without prejudice to intension of the present invention
Under do similar popularization, therefore the present invention is not limited to the specific embodiments disclosed below.
Referring to Fig. 1, in one embodiment, ribbon fiber splice loss, splice attenuation evaluation method includes the following steps：
S1：The ribbon fiber image after the completion of welding is analyzed, calculates the curvature ginseng of the certain distance range of optical fiber fusion welding point
Number, the curvature parameters include：Covering top edge curvature maximum, covering lower edge curvature maximum, fibre core top edge curvature
Maximum value, fibre core lower edge curvature maximum and axle center curvature maximum；
S2：The curved parameter of cause of fibre-optical bending may be led to by obtaining in test optical fiber result；
S3：Curved parameter and curvature parameters are caused as preliminary independent variable using described, using the active loss of test as dependent variable,
Several test datas are obtained as training sample, linear regression calculating are carried out, according to the phase relation between independent variable and dependent variable
Number sieve selects optimization independent variable therein；
S4：According to the active loss and optimization independent variable structure multiple linear regression model, according to the multiple linear
Regression model carries out loss evaluation.
The ribbon fiber splice loss, splice attenuation evaluation method of the embodiment of the present invention is more particularly described below, but should not be with
This is limited.
Referring to Fig. 2 a-2e, for optical fiber, the construction feature of fusion point generally has several classes of this in figure.Wherein, Fig. 2 a tables
Show the good welding of no any bending, Fig. 2 b represent that optical fiber top edge attenuates to oblique, lower edge anticline so as to optical fiber occur, scheme
2c represents that anticline occur simultaneously in optical fiber lower edges, is bent upwards so as to cause optical fiber fusion welding point, and Fig. 2 d represent following on optical fiber
Edge occurs to oblique, being bent downwardly so as to cause optical fiber fusion welding point simultaneously, and Fig. 2 e represent optical fiber top edge anticline, lower edge to oblique,
So as to cause optical fiber fusion welding point it is thicker.
In the prior art, it is lost caused by the bending of fusion point, depends merely on loss that image can not observe etc., can not obtained
To quantitative analysis and calculating.But influence of the bending of fibre core to loss is more significant thus of the invention by bowing factor
It brings into loss evaluation.First the problem of is that how these bowing factors are carried out with quantitative characterization, in the embodiment of the present invention
By near optical fiber fusion welding point covering top edge, covering lower edge, fibre core top edge, fibre core lower edge and these positions of axle center
Curvature carries out analysis calculating, and bowing factor is characterized with this.
Perform step S1：The ribbon fiber image after the completion of welding is analyzed, calculates the certain distance range of optical fiber fusion welding point
Curvature parameters, the curvature parameters include：Covering top edge curvature maximum, covering lower edge curvature maximum, on fibre core
Edge maximum value, fibre core lower edge curvature maximum and axle center curvature maximum.It is, for example, in the range of the certain distance
200 row pixels in ribbon fiber image near optical fiber fusion welding point, optical fiber fusion welding point can be positioned in ribbon fiber image
Location point, e.g. electrode bar tip position, details are not described herein.
Calculating covering top edge, covering lower edge, fibre core top edge, fibre core lower edge and the curvature of these positions of axle center
Before information, need the covering top edge, the covering that obtain each row pixel of certain distance range near optical fiber fusion welding point following
Edge, fibre core top edge, fibre core lower edge and the precise position information in axle center, thus how to obtain these precise position informations and be also
One problem.
In one embodiment, step S1 may comprise steps of S11-S15.
In S11, for each row pixel of the certain distance range of optical fiber fusion welding point in the ribbon fiber image, obtain
The brightness value of each pixel in each column；Optical fiber fusion welding point or so totally 200 row pixel is e.g. chosen, obtains each pixel in each column
The brightness value of point.
Since ribbon fiber image is that pixel is formed, thus covering lower edges, fibre core lower edges and axle center
Position is series of discrete data sequence.The collected 4 two-core optical fiber images of CCD as shown in Figure 3a, wherein, intercepted out
In the topography of single optical fibre, as shown in Figure 3b, horizontal axis represents vertical shift position to the corresponding brightness waveform of dotted portion, indulges
Axis represents brightness value, and ShadowBright represents shadow lightness value.The intersection point of dotted line and brightness waveform where shadow lightness value
Corresponding vertical shift position can be rough expression covering top edge, fibre core top edge, fibre core lower edge, covering lower edge
Position.Certainly, the optical fiber image shown in figure is only signal, and quantity is not limited to 4 cores.
Preferably, a row pixel of complete optical fiber is included in the ribbon fiber image when shadow lightness value is non-welding
The luminance mean value of point.For example, the luminance mean value that the optical fiber image the 100th when shadow lightness value is non-welding arranges, this is because band
After shape optical fiber splicer places optical fiber, fiber end face position is above 100 row pixels, and such 100th row contain intact
Fiber information, luminance mean value can be distinguished in ribbon fiber image well per the covering of single optical fibre and the edge of fibre core
Position.
In S12, for each column pixel, traversal from top to bottom or from top to bottom is carried out, if after brightness mutation
The brightness value for several pixels continuously occur is less than or greater than shadow lightness value, then is just judged to rough covering top edge, rough packet
Layer lower edge, rough fibre core top edge, rough fibre core lower edge, and it is following according to the rough fibre core top edge, rough fibre core
Pixel brightness value between edge calculates rough shaft core position.Since brightness data is to associate preservation with pixel, because
And corresponding brightness value can be read by traversing each pixel, and distinguish according to the continuous feature of the brightness of neighbor pixel
Other edge.
Preferably, in the step S12, if the traversal for the progress of each column pixel from top to bottom, including following step
Suddenly：
S121a：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then using the several points or wherein as rough covering top edge；Wherein example
It can be such as intermediate point, be certainly not limited to this；
S122a：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough fibre core top edge；
S123a：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then the several points or wherein conduct rough fibre core lower edge；
S124a：The luminance data of pixel between rough fibre core top edge, rough fibre core lower edge, uses barycenter
Method calculates rough shaft core position；
S125a：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough covering lower edge；
Wherein, the step S124a and S125a interchangeables；
If for the traversal of each column pixel progress from top to bottom, include the following steps：
S121b：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then using the several points or wherein as rough covering lower edge；
S122b：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough fibre core lower edge；
S123b：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points
Brightness value be less than shadow lightness value, then the several points or wherein conduct rough fibre core top edge；
S124b：The luminance data of pixel between rough fibre core top edge, rough fibre core lower edge, uses barycenter
Method calculates rough shaft core position；
S125b：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points
Brightness value be more than shadow lightness value, then the several points or wherein conduct rough covering top edge；
Wherein, the step S124b and S125b interchangeables.
Traversal mode may be such that reading and writing data and treatment effeciency faster come the mode for reading and judging, promote optical fiber splicer
Feed back to the real-time of operator's loss estimation.
Specifically, for the ribbon fiber image after the completion of a width welding, the brightness of a certain row in image is traversed
It is worth, the location information step of covering and fibre core in acquisition image on a certain row per single optical fibre is as follows：
1) brightness value of continuous 5 points is less than shadow lightness value, records covering upper marginal position, performs 2)；
2) brightness value of continuous 5 points is more than shadow lightness value, records fibre core upper marginal position, performs 3)；
3) brightness value of continuous 5 points is less than shadow lightness value, records fibre core lower edge position, performs 4)；
4) data between fibre core lower edges roughly calculate shaft core position with centroid method, perform 5)；
5) brightness value of continuous 5 points is more than shadow lightness value, records covering lower edge position, performs 6)；
6) fiber data of current core is preserved, terminates if current core is the 4th core fibre, otherwise re-executes 1), meter
Calculate the fiber data of next.
It is by taking 4 two-core optical fiber as an example above, to the rough calculation of ribbon fiber marginal position, is specifically not limited to certainly
This.
In order to improve precision, in the discrete data sequences for obtaining optical fiber fusion welding point, the present invention is also accurate by rough position
Calculate sub-pix rank.
In S13, for each column pixel, according on the rough covering top edge, rough covering lower edge, rough fibre core
Edge, rough fibre core lower edge and rough shaft core position carry out sub-pix level calculation, obtain covering top edge, the packet on each row
Layer lower edge, fibre core top edge, fibre core lower edge and shaft core position.
Preferably, include referring to Fig. 4 a-4e, the step S13：
S131：Respectively to the rough covering top edge, rough covering lower edge, rough fibre core top edge, rough fibre core
The point set up and down of lower edge and corresponding brightness value carry out conic fitting, the shadow lightness value are substituting to each secondary
In function, solution obtains covering top edge, covering lower edge, fibre core top edge, the fibre core lower edge on each row；Above and below edge
Point set can be in abovementioned steps S12 be chosen to be rough covering top edge, rough covering lower edge, rough fibre core top edge,
The several points of rough fibre core lower edge or wherein and its up and down it is continuous what time；
S132：Point set up and down and corresponding brightness value to the rough shaft core position carry out conic fitting, solve
The symmetry axis of corresponding One- place 2-th Order function, the corresponding pixel of the symmetry axis is as shaft core position；The point up and down of shaft core position
Collection can be all pixels point between fibre core top edge, fibre core lower edge.
Analyze longitudinal intensity profile graph discovery of ribbon fiber single, covering lower edges, fibre core lower edges and axis
The distribution of the discrete point of heart position is all close to One- place 2-th Order curve, therefore selected section discrete point carries out conic section plan respectively
It closes, the accurate of covering lower edges, fibre core lower edges and axle center can be calculated by the conic section being respectively fitted respectively
Position realizes the other positioning of sub-pixel.
The horizontal axis of 5 width curve graphs shown in Fig. 4 a-4e represents vertical shift position, unit：Pixel (pix), the longitudinal axis represent
The brightness value of the corresponding pixel of the deviation post.Point is that certain row is taken out corresponding to rough edge or shaft core position from image
Discrete point, curve are the One- place 2-th Order curves being fitted by discrete point.
Wherein, Fig. 4 a-4d respectively refer to rough covering top edge, rough covering lower edge, rough fibre core top edge, rough fibre
The point set and corresponding quadratic fit curve of upper and lower several continuous discrete points of core lower edge.The calculating of exact position is will be cloudy
Shadow brightness value substitutes into the quadratic function of fitting, solves equation, can the rough marginal position of selected distance is most in two non trivial solutions
Near value, as being accurate to the other edge position values of sub-pixel.Fig. 4 e represent the upper and lower several continuous discrete of shaft core position
Point set and corresponding matched curve, discrete point choose all pixels point between rough fibre core top edge, rough fibre core lower edge,
The calculating of accurate shaft core position is then to solve for the symmetry axis of corresponding One- place 2-th Order function, and the value of symmetry axis is as optical fiber axle center
Exact position.
Due to calculate exact position when should not introduce unnecessary error, although the exact position of fibre core lower edges by
Calculate, but still be difficult to avoid that may carrying error, therefore shaft core position is carried out individual curve matching and calculate than
It is directly calculated by fibre core lower edges exact value relatively reliable.
It is just obtained above and is accurate to the other fiber information of sub-pixel.Optical fiber fusion welding point or so each 100 can be obtained successively
The fiber information of row, 4 optical fiber of totally 200 row, for analyzing and calculating the characteristic parameter for participating in loss estimation and calculating.
In S14, according to covering top edge, covering lower edge, fibre core top edge, fibre core lower edge and the axle center position on each row
It puts and depicts discrete fiber information curve.
It calculates and stores centered on electrode bar, left and right each 100 arranges, the essence in the fibre core lower edges of totally 200 row and axle center
True position.The accurate fiber information of 200 row near the first core fibre fusion point in Fig. 3 a is described in Fig. 5.Wherein, from up to
Under, five curves represent respectively：Covering lower edge, fibre core lower edge, axle center, fibre core top edge, covering top edge.Longitudinal axis table
Show, the vertical shift of fiber position information, horizontal axis represents, 0-200 row.
Gaussian smoothing can be done, then hold to the discrete data of 200 groups of coverings, fibre core lower edges and shaft core position
Row step S15.
In S15, the curvature of each discrete point in the fiber information curve is solved, maximum curvature is calculated, to obtain the packet
Layer top edge curvature maximum, covering lower edge curvature maximum, fibre core top edge curvature maximum, fibre core lower edge curvature are most
Big value and axle center curvature maximum.Preferably, the discrete data after Gaussian smoothing can be asked using calculus of finite differences
Each discrete point curvature is solved, calculate maximum curvature value and is stored.
Then step S2 is performed, obtains the curved parameter of cause that may lead to fibre-optical bending in test optical fiber result.Preferably, institute
It states in step S2, it is described that curved parameter is caused to include axle center offset, left side fiber cut angle, right side fiber cut angle, optical fiber end
Interplanar distance, optical fiber promote lap.
Fiber end face spacing refers to the distance between both sides fiber end face, and optical fiber promotes lap to refer to both sides optical fiber contact
Continue the distance promoted after (eliminating the spacing) in welding.Cause curved parameter be fused fiber splice possible be caused to bend because
These parameters can't be included in the factor of loss estimation by element in the prior art, and the present invention is included by these parameters,
Influence of the fibre-optical bending to loss can be estimated together.
Then step S3 is performed：During the multiple linear regression model of structure loss estimation, curved parameter is caused by described
With curvature parameters as preliminary independent variable, using the active loss of test as dependent variable, several test datas are obtained as training
Sample carries out linear regression calculating, optimization independent variable therein is filtered out according to the related coefficient between independent variable and dependent variable.
Preferably, it in the step S3, obtains in several test datas, a part carries out linear regression as training sample
It calculates, another part carries out regression model inspection as test sample so that multiple linear regression model is more accurate.
Preferably, it in the step S2, further includes：Obtain the discharge parameter in test optical fiber result, the discharge parameter
Including：Fritting strength of discharge, fritting discharge time, welding strength of discharge, welding discharge time；It is in step S3, the cause is curved
Parameter, discharge parameter and curvature parameters remove structure multiple linear regression model as preliminary independent variable.
Specifically, being tested in advance by heat sealing machine, 300 groups of test datas are obtained, wherein 250 groups of data are as training sample
This, carries out linear regression analysis, and remaining 50 groups of test datas carry out regression model inspection as test sample.Pass through correlation
Analysis and significance analysis, the part finally screened have larger correlation, the corresponding independent variable in the part and dependent variable
Between related coefficient such as following table (1)：
Table (1)
Finally, in the step S3, the optimization independent variable that is filtered out according to the related coefficient between independent variable and dependent variable
Including：Axle center offset, left side fiber cut angle, right side fiber cut angle, optical fiber promote lap, fibre core top edge curvature
Maximum value, fibre core lower edge curvature maximum, axle center curvature maximum.
Fritting strength of discharge, welding strength of discharge also can not be controlled accurately, therefore, will finally discharged without method quantitative measurement
Parameter is removed from because of subdomain.
Then step S4 is performed：Multiple linear regression model is built according to the active loss and optimization independent variable, according to
The multiple linear regression model carries out loss evaluation.
In one embodiment, in the step S4, the multiple linear regression model constructed is：
Wherein, loss, x are estimated in Loss expressions1Represent axle center offset, x2Represent left side fiber cut angle, x3Represent right side
Fiber cut angle, x4Represent that optical fiber promotes lap, x5Represent fibre core top edge curvature maximum, x6Represent fibre core lower edge
Curvature maximum, x7Represent axle center curvature maximum, β0For constant term, β1~β7For regression coefficient.Specifically, β1It is multiple linear
The parameter x of regression model1Regression coefficient；β2It is the parameter x of multiple linear regression model2Regression coefficient；β3It is multiple linear
The parameter x of regression model3Regression coefficient；β4It is the parameter x of multiple linear regression model4Regression coefficient；β5It is multiple linear
The parameter x of regression model5Regression coefficient；β6It is the parameter x of multiple linear regression model6Regression coefficient；β7It is multiple linear
The parameter x of regression model7Regression coefficient.
It is calculated to simplify, all independents variable and dependent variable in model can be carried out standardization, all changes
Amount after the mean value for subtracting itself again divided by the standard deviation of itself, in this way, what is obtained is standardized regression model, recurrence therein
Coefficient is standardized regression coefficient.For the true regression model for estimating loss, need the standardization done as follows：
Enable t1=x1,
Conversion is standardized to multiple linear regression model, wherein,WithIt is expressed as variable in sample
Loss and tkMean value, SLoss and StkVariables L oss and t in sample are then represented respectivelykStandard deviation, t1-t7For intermediate variable,
Loss*For the normalized transformed dependent variables of Loss, tk *For tkNormalized transformed independent variable.Then, regression model
Become：
Loss*=β1 *t1 *+β2 *t2 *+β3 *t3 *+β4 *t4 *+β5 *t5 *+β6 *t6 *+β7 *t7 *
Wherein, β1 *-β7 *For standardized regression coefficient.
It is as follows that result is obtained to the method that 250 groups of recurrence sample datas use successive Regression：
Loss*=0.0877t1 *-0.0424t2 *+0.272t3 *+0.212t4 *+0.66t5 *-0.027t6 *+0.112t7 *
50 groups of new samples data are tested, referring to table (2), to surveying the active loss of 50 core data, former prediction is lost and returns
The prediction loss that model calculates is returned to be compared, the prediction of the embodiment of the present invention of 50 groups of test datas is lost and actual measured loss
Residual sum of squares (RSS) SSE=0.0041；The residual sum of squares (RSS) SSE=with actual measured loss is lost in the former prediction of 50 groups of test datas
0.6141, it is clear that prediction of embodiment of the present invention loss is lost better than former prediction.
Table (2)
The present invention also provides a kind of ribbon fiber splice loss, splice attenuation estimating system, including：
Curvature parameters computing module：The ribbon fiber image after the completion of analysis welding is performed, calculates the one of optical fiber fusion welding point
The curvature parameters of set a distance range, the curvature parameters include：Covering top edge curvature maximum, covering lower edge maximum curvature
Value, fibre core top edge curvature maximum, fibre core lower edge curvature maximum and axle center curvature maximum；
Affecting parameters computing module：Perform the curved parameter of cause for obtaining and may leading to fibre-optical bending in test optical fiber result；
Independent variable optimization module：It performs and causes curved parameter and curvature parameters as preliminary independent variable using described, by the reality of test
Border loss obtains several test datas as training sample as dependent variable, progress linear regression calculating, according to independent variable and because
Related coefficient between variable filters out optimization independent variable therein；
Loss evaluation module：It performs according to the active loss and optimization independent variable structure multiple linear regression model, root
Loss evaluation is carried out according to the multiple linear regression model.
The particular content of ribbon fiber splice loss, splice attenuation estimating system about the present invention may refer in previous embodiment
About the description content of ribbon fiber splice loss, splice attenuation evaluation method part, details are not described herein.
Although the present invention is disclosed as above with preferred embodiment, it is not for limiting claim, any this field
Technical staff without departing from the spirit and scope of the present invention, can make possible variation and modification, therefore the present invention
Protection domain should be subject to the range that the claims in the present invention are defined.
Claims (11)
1. a kind of ribbon fiber splice loss, splice attenuation evaluation method, which is characterized in that include the following steps：
S1：The ribbon fiber image after the completion of welding is analyzed, calculates the curvature parameters of the certain distance range of optical fiber fusion welding point, institute
Curvature parameters are stated to include：Covering top edge curvature maximum, covering lower edge curvature maximum, fibre core top edge maximum curvature
Value, fibre core lower edge curvature maximum and axle center curvature maximum；
S2：The curved parameter of cause of fibre-optical bending may be led to by obtaining in test optical fiber result；
S3：Curved parameter and curvature parameters is caused, using the active loss of test as dependent variable, to be obtained as preliminary independent variable using described
Several test datas carry out linear regression calculating, according to the phase relation number sieve between independent variable and dependent variable as training sample
Select optimization independent variable therein；
S4：According to the active loss and optimization independent variable structure multiple linear regression model, according to the multiple linear regression
Model carries out loss evaluation.
2. ribbon fiber splice loss, splice attenuation evaluation method as described in claim 1, which is characterized in that the step S1 includes following
Step：
S11：For each row pixel of the certain distance range of optical fiber fusion welding point in the ribbon fiber image, calculate in each column
Brightness value；
S12：For each column pixel, traversal from top to bottom or from top to bottom is carried out, if continuously going out after brightness mutation
The brightness value of existing several pixels is less than or greater than shadow lightness value, then it is following to be just judged to rough covering top edge, rough covering
Edge, rough fibre core top edge, rough fibre core lower edge, and according between the rough fibre core top edge, rough fibre core lower edge
Pixel brightness value calculate rough shaft core position；
S13：For each column pixel, according to the rough covering top edge, rough covering lower edge, rough fibre core top edge,
Rough fibre core lower edge and rough shaft core position carry out sub-pix level calculation, obtain covering top edge on each row, under covering
Edge, fibre core top edge, fibre core lower edge and shaft core position；
S14：Described according to covering top edge, covering lower edge, fibre core top edge, fibre core lower edge and the shaft core position on each row
Go out discrete fiber information curve；
S15：The curvature of each discrete point in the fiber information curve is solved, maximum curvature is calculated, to obtain the covering top
Edge curvature maximum, covering lower edge curvature maximum, fibre core top edge curvature maximum, fibre core lower edge curvature maximum with
And axle center curvature maximum.
3. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claim 2, which is characterized in that the shadow lightness value is not
The luminance mean value of a row pixel comprising complete optical fiber in ribbon fiber image during welding.
4. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claim 2, which is characterized in that in the step S12, if needle
Traversal from top to bottom is carried out to each column pixel, then is included the following steps：
S121a：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points it is bright
Angle value is less than shadow lightness value, then using the several points or wherein as rough covering top edge；
S122a：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points it is bright
Angle value is more than shadow lightness value, then the several points or the wherein rough fibre core top edge of conduct；
S123a：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points it is bright
Angle value is less than shadow lightness value, then the several points or the wherein rough fibre core lower edge of conduct；
S124a：The luminance data of pixel between rough fibre core top edge, rough fibre core lower edge, with centroid method meter
Calculate rough shaft core position；
S125a：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points it is bright
Angle value is more than shadow lightness value, then the several points or the wherein rough covering lower edge of conduct；
Wherein, the step S124a and S125a interchangeables；
If for the traversal of each column pixel progress from top to bottom, include the following steps：
S121b：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points it is bright
Angle value is less than shadow lightness value, then using the several points or wherein as rough covering lower edge；
S122b：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points it is bright
Angle value is more than shadow lightness value, then the several points or the wherein rough fibre core lower edge of conduct；
S123b：Some pixel brightness value from more than become smaller than or equal to shadow lightness value after, continuous several points it is bright
Angle value is less than shadow lightness value, then the several points or the wherein rough fibre core top edge of conduct；
S124b：The luminance data of pixel between rough fibre core top edge, rough fibre core lower edge, with centroid method meter
Calculate rough shaft core position；
S125b：Some pixel brightness value from less than become greater than or equal to shadow lightness value after, continuous several points it is bright
Angle value is more than shadow lightness value, then the several points or the wherein rough covering top edge of conduct；
Wherein, the step S124b and S125b interchangeables.
5. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claim 2, which is characterized in that the step S13 includes：
S131：It is following to the rough covering top edge, rough covering lower edge, rough fibre core top edge, rough fibre core respectively
The point set up and down of edge and corresponding brightness value carry out conic fitting, and the shadow lightness value is substituting to each quadratic function
In, solution obtains covering top edge, covering lower edge, fibre core top edge, the fibre core lower edge on each row；
S132：Point set up and down and corresponding brightness value to the rough shaft core position carry out conic fitting, solve and correspond to
One- place 2-th Order function symmetry axis, the corresponding pixel of the symmetry axis is as shaft core position.
6. ribbon fiber splice loss, splice attenuation evaluation method as described in claim 1, which is characterized in that described in the step S2
Curved parameter is caused to include axle center offset, the propulsion of left side fiber cut angle, right side fiber cut angle, fiber end face spacing, optical fiber
Lap.
7. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claim 6, which is characterized in that in the step S2, also wrap
It includes：The discharge parameter in test optical fiber result is obtained, the discharge parameter includes：Fritting strength of discharge, melts at fritting discharge time
Connect strength of discharge, welding discharge time；In step S3, curved parameter, discharge parameter and curvature parameters are caused as tentatively certainly using described
Variable.
8. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claims 6 or 7, which is characterized in that in the step S3, root
The optimization independent variable filtered out according to the related coefficient between independent variable and dependent variable includes：Axle center offset, left side fiber cut angle
Degree, right side fiber cut angle, optical fiber promote lap, fibre core top edge curvature maximum, fibre core lower edge curvature maximum,
Axle center curvature maximum.
9. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claim 8, which is characterized in that in the step S3, obtain
In several test datas, a part carries out linear regression calculating as training sample, and another part is returned as test sample
Return model testing.
10. ribbon fiber splice loss, splice attenuation evaluation method as claimed in claim 8, which is characterized in that in the step S4, structure
The multiple linear regression model gone out is：
Wherein, loss, x are estimated in Loss expressions1Represent axle center offset, x2Represent left side fiber cut angle, x3Represent right side optical fiber
Cutting angle, x4Represent that optical fiber promotes lap, x5Represent fibre core top edge curvature maximum, x6Represent fibre core lower edge curvature
Maximum value, x7Represent axle center curvature maximum, β0For constant term, β1~β7For regression coefficient.
11. a kind of ribbon fiber splice loss, splice attenuation estimating system, which is characterized in that including：
Curvature parameters computing module：The ribbon fiber image after the completion of analysis welding is performed, calculates a spacing of optical fiber fusion welding point
Curvature parameters from range, the curvature parameters include：Covering top edge curvature maximum, covering lower edge curvature maximum,
Fibre core top edge curvature maximum, fibre core lower edge curvature maximum and axle center curvature maximum；
Affecting parameters computing module：Perform the curved parameter of cause for obtaining and may leading to fibre-optical bending in test optical fiber result；
Independent variable optimization module：It performs and causes curved parameter and curvature parameters as preliminary independent variable using described, by the practical damage of test
Consumption obtains several test datas as training sample, linear regression calculating is carried out, according to independent variable and dependent variable as dependent variable
Between related coefficient filter out optimization independent variable therein；
Loss evaluation module：It performs according to the active loss and optimization independent variable structure multiple linear regression model, according to institute
It states multiple linear regression model and carries out loss evaluation.
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