System and method for monitoring the quality of an analog tail fiber interface

Abstract

The application discloses a kind of analog quality monitoring systems and methods of tail fiber interface, system includes virtual simulation modeling module, is configured to construct end face three-dimensional optical model based on optical fiber geometric parameter and optical property, write into the three-dimensional optical model and generate virtual optical response atlas by deformation parameter, the virtual optical response atlas includes theoretical reflection light spot position, refraction / reflection intensity ratio and theoretical transmission attenuation rate;Abnormal diagnosis module is configured to receive measured optical data and the virtual optical response atlas, calculate the deviation value of measured book Korea drama and virtual atlas, according to the combination rule of deviation value, output defect classification result.The application monitors the quality of tail fiber interface by virtual modeling and actual measurement.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of virtual modeling and visual detection, and particularly relates to a simulation quality monitoring system and method for a pigtail interface. BACKGROUND

[0002] In the field of optical fiber communication, the performance of a pigtail interface directly affects the quality of optical signal transmission. Existing pigtail interface testing technologies have many deficiencies. On the one hand, the detection dimension of a traditional testing system for a pigtail interface is relatively single, and it can only test a certain index, making it difficult to comprehensively evaluate the overall performance of the interface. For example, most systems can only detect whether there is pollution on the surface, but cannot effectively identify other potential problems such as coating damage and curvature deformation. On the other hand, the control of the incident angle of the optical signal is not flexible enough, making it difficult to achieve multi-angle testing, which leads to an incomplete evaluation of the performance of the interface under different working conditions. In addition, in terms of signal processing and analysis, the existing technology lacks comprehensive processing capability for various parameters in the process of refraction, reflection and transmission of optical signals, and cannot accurately determine the nature and severity of interface defects, such as the difficulty in distinguishing whether the curvature deformation is a functional defect or a non-functional surface flaw that leads to the degradation of optical transmission performance. This limits the accuracy and reliability of the quality detection of the pigtail interface, and makes it difficult to meet the needs of high-speed and high-stability optical fiber communication systems. SUMMARY

[0003] In view of the above problems, the present application provides a simulation quality monitoring system and method for a pigtail interface.

[0004] The purpose of the present application is achieved by the following technical solutions:

[0005] In a first aspect, a simulation quality monitoring system for a pigtail interface is provided, comprising:

[0006] A virtual simulation modeling module is configured to construct an end face three-dimensional optical model based on optical fiber geometric parameters and optical properties, write deformation parameters into the three-dimensional optical model to generate a virtual optical response map, and the virtual optical response map includes theoretical reflection spot position, refraction / reflection intensity ratio and theoretical transmission attenuation rate;

[0007] An anomaly diagnosis module is configured to receive measured optical data and the virtual optical response map, calculate the deviation value of the measured optical data and the virtual map, and output a defect classification result according to the combination rule of the deviation value.

[0008] As a preferred mode, the measured optical data is configured to be obtained, which includes:

[0009] A first light source is configured to provide a first test optical signal with multiple incident angles in the radial direction of the optical fiber of the pigtail interface;

[0010] a second light source configured to provide a second test light signal with a plurality of incident angles in the axial direction of the optical fiber of the fiber interface;

[0011] an imaging module comprising:

[0012] a first imaging module comprising a same-side sensor group and an opposite-side sensor group, both of which have a field of view axis perpendicular to the axial direction of the bare optical fiber;

[0013] a second imaging module configured to acquire the second test light signal output from the first end after being transmitted through the optical fiber;

[0014] a signal processing module configured to:

[0015] calculate the difference between the signal intensity of the same-side sensor and the opposite-side sensor to generate a measured refraction / reflection intensity ratio;

[0016] calculate the offset of the reflection light spot of the opposite-side sensor to generate three-dimensional coordinates of the curvature deformation region;

[0017] calculate the transmission signal attenuation rate of the second imaging module.

[0018] As a preferred mode, the virtual simulation modeling module is further configured to perform the following steps:

[0019] based on the coordinates of the curvature deformation region, discretize the deformation region into a finite element mesh, reconstruct the gradient refractive index field based on the mapping relationship table of the deformation curvature radius and the refractive index, simulate the theoretical attenuation rate curve when the second light source avoids the deformation path at different incident angles, and output the theoretical optimal attenuation rate and the corresponding optimal incident angle.

[0020] As a preferred mode, the abnormality diagnosis module receives the theoretical attenuation rate curve and is configured to perform the following steps:

[0021] if the measured attenuation rate after avoiding the deformation path is lower than the preset proportion of the simulated optimal value, trigger a material internal scattering abnormality warning.

[0022] when the measured light spot offset exceeds the deviation threshold of the virtual optical response map but the attenuation rate matches, mark it as a repairable surface flaw.

[0023] As a preferred mode, the defect classification rule of the abnormality diagnosis module includes:

[0024] when the measured refraction / reflection intensity ratio deviates from the preset range of the virtual theoretical value, and the reflection light spot offset deviation is within the preset interval, output a surface attached contaminant classification;

[0025] when the refraction / reflection intensity ratio deviates from the preset range of the theoretical value and is accompanied by a reflection light spot fragmentation distribution feature, output a coating layer damage classification;

[0026] When the measured attenuation rate of the deformation region exceeding the preset proportion in the original transmission state is higher than the preset proportion of the virtual theoretical value, an overall structure failure warning of the output optical fiber is output.

[0027] As a preferred mode, the abnormality diagnosis module includes the following steps when judging the deformation of the optical fiber axial core region:

[0028] The relative ratio of the measured attenuation rate of the axial deformation region and the standard failure threshold is calculated, and when the ratio exceeds the limit value adjusted by the axial sensitivity coefficient, the overall failure is determined;

[0029] The axial sensitivity coefficient is established by comparing the attenuation influence degree of the same deformation of the standard optical fiber axial core region and the edge region through standard optical fiber experiments, and the attenuation increment ratio in the curve is selected as the sensitivity coefficient, and the coefficient is not less than the set protection value.

[0030] As a preferred mode, the deformation parameter includes:

[0031] According to the reflection spot offset vector length Δd and the incident angle α, the local curvature radius deviation is calculated;

[0032] Δρ=sinα / Δd ;

[0033] The average curvature of the optical fiber surface is determined by the refraction / reflection intensity ratio, and the average curvature is the average value of the local curvature radius deviation of a plurality of sampling points;

[0034] The virtual simulation modeling module takes the local curvature radius deviation and the average curvature as boundary constraint conditions, and dynamically reconstructs the physical topological structure of the deformation region in the three-dimensional model.

[0035] In a second aspect, a simulation quality monitoring method for a pigtail interface is provided, including the following steps:

[0036] A three-dimensional model of the optical fiber end face is constructed, and deformation parameters are written to generate a virtual optical response spectrum containing theoretical reflection positions, refraction / reflection intensity ratios and transmission attenuation rates;

[0037] Measured optical data is obtained, and curvature deformation region coordinates are generated based on spot offset amounts;

[0038] According to the curvature deformation region coordinates, the refractive index field of the deformation region is reconstructed, and the theoretical optimal attenuation rate of the path avoiding the deformation region is simulated;

[0039] The measured and virtual spectrum data are compared, and a defect classification result is output.

[0040] The beneficial effects of the present application are:

[0041] The system constructs a three-dimensional optical model through a virtual simulation modeling module, combines multi-dimensional actual measurement data of an optical acquisition module, and realizes accurate comparison between theory and practice. The abnormal diagnosis module can quickly identify various defect types such as surface contaminants and coating layer damage based on a multi-dimensional deviation combination rule; and through gradient refractive index field reconstruction and optimal attenuation rate simulation, the detection accuracy of internal scattering abnormalities and axis deformation is effectively improved. The system integrates a multi-module collaborative detection mechanism, significantly improves the efficiency, accuracy and defect positioning capability of the tail fiber interface quality detection, and provides reliable protection for stable operation of the optical fiber communication network. BRIEF DESCRIPTION OF DRAWINGS

[0042] The application is further described by using the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the application. For ordinary skilled in the art, other drawings can be obtained without creative labor on the basis of the following drawings.

[0043] Figure 1 is a structural block diagram of the system of the embodiment of the application. DETAILED DESCRIPTION

[0044] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by ordinary skilled in the art without creative labor are within the protection scope of the application.

[0045] In a first aspect of the embodiments of the present disclosure, a simulation quality monitoring system of a tail fiber interface is provided, as shown in Figure 1 The system comprises:

[0046] A virtual simulation modeling module is configured to construct an end face three-dimensional optical model based on fiber geometric parameters and optical properties, write deformation parameters into the three-dimensional optical model to generate a virtual optical response spectrum, and the virtual optical response spectrum comprises theoretical reflection spot positions, refraction / reflection intensity ratios and theoretical transmission attenuation rates.

[0047] An abnormal diagnosis module is configured to receive actual measurement optical data and the virtual optical response spectrum, calculate deviation values of the actual measurement data and the virtual spectrum, and output defect classification results according to a combination rule of the deviation values.

[0048] As a preferred mode, the actual measurement optical data is configured to be obtained, which comprises:

[0049] A first light source is configured to provide a first test light signal with multiple incident angles in a radial direction of the fiber of the tail fiber interface.

[0050] a second light source configured to provide a second test light signal with a plurality of incident angles in the axial direction of the optical fiber of the fiber-optic interface;

[0051] an imaging module comprising:

[0052] a first imaging module comprising a same-side sensor group and an opposite-side sensor group, both of which have a field-of-view axis perpendicular to the axial direction of the bare optical fiber;

[0053] a second imaging module configured to acquire the second test light signal output from the first end after being transmitted through the optical fiber;

[0054] a signal processing module configured to:

[0055] calculate the difference between the signal intensities of the same-side and opposite-side sensors to generate a measured refraction / reflection intensity ratio;

[0056] calculate the offset of the reflection spot of the opposite-side sensor to generate three-dimensional coordinates of the curvature deformation region;

[0057] calculate the transmission signal attenuation rate of the second imaging module.

[0058] As a preferred mode, the virtual simulation modeling module is further configured to perform the following steps:

[0059] based on the coordinates of the curvature deformation region, discretize the deformation region into a finite element mesh, reconstruct the gradient refractive index field based on a mapping relationship table of the deformation curvature radius and the refractive index, simulate the theoretical attenuation rate curve when the second light source avoids the deformation path at different incident angles, and output the theoretical optimal attenuation rate and the corresponding optimal incident angle.

[0060] As a preferred mode, the anomaly diagnosis module, after receiving the theoretical attenuation rate curve, is configured to perform the following steps:

[0061] if the measured attenuation rate after avoiding the deformation path is lower than a preset proportion of the simulated optimal value, trigger a material internal scattering anomaly warning.

[0062] when the measured spot offset exceeds the deviation threshold of the virtual optical response map but the attenuation rate matches, mark it as a repairable surface flaw.

[0063] As a preferred mode, the defect classification rule of the anomaly diagnosis module comprises:

[0064] when the measured refraction / reflection intensity ratio deviates from the virtual theoretical value by a preset range, and the reflection spot offset deviation is within a preset interval, output a surface attached contaminant classification;

[0065] when the refraction / reflection intensity ratio deviates from the theoretical value by a preset range and is accompanied by a reflection spot fragmentation distribution feature, output a coating layer damage classification;

[0066] When the measured attenuation rate of the deformation region exceeding the preset proportion in the original transmission state is higher than the preset proportion of the virtual theoretical value, an overall structure failure warning of the output optical fiber is output.

[0067] As a preferred mode, the abnormality diagnosis module includes the following steps when judging the deformation of the optical fiber axial core region:

[0068] The relative ratio of the measured attenuation rate of the axial deformation region and the standard failure threshold is calculated, and when the ratio exceeds the limit value adjusted by the axial sensitivity coefficient, it is determined that the overall structure fails;

[0069] The axial sensitivity coefficient is established by comparing the attenuation influence degree of the same deformation of the standard optical fiber axial core region and the edge region through standard optical fiber experiments to establish the deformation-attenuation corresponding relationship curve of the axial core region and the edge region, and the attenuation increment ratio in the curve is selected as the sensitivity coefficient, and the coefficient is not less than the set protection value.

[0070] As a preferred mode, the deformation parameter includes:

[0071] According to the length of the reflected light spot offset vector Δd and the incident angle α, the local curvature radius deviation is calculated;

[0072] Δρ=sinα / Δd ;

[0073] The average curvature of the optical fiber surface is determined by the ratio of the refraction and reflection intensity, and the average curvature is the average value of the local curvature radius deviation obtained by multiple sampling points;

[0074] The virtual simulation modeling module takes the local curvature radius deviation and the average curvature as boundary constraint conditions to dynamically reconstruct the physical topological structure of the deformation region in the three-dimensional model.

[0075] In the second aspect, a simulation quality monitoring method for a pigtail interface is provided, including the following steps:

[0076] A three-dimensional model of the optical fiber end face is constructed, and deformation parameters are written to generate a virtual optical response spectrum containing theoretical reflection positions, refraction / reflection intensity ratios, and transmission attenuation rates;

[0077] Measured optical data is obtained, and curvature deformation region coordinates are generated based on the spot offset amount;

[0078] According to the curvature deformation region coordinates, the refractive index field of the deformation region is reconstructed, and the theoretical optimal attenuation rate of the path avoiding the deformation region is simulated;

[0079] The measured and virtual spectrum data are compared, and the defect classification result is output.

[0080] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operations may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0081] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented using electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods for each specific application to achieve the described functions, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the described devices, apparatuses, and units can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0082] The diagrams of the flow and block diagrams show the architecture, functionality, and operation of possible implementations of apparatuses, methods and computer program products according to embodiments of the present disclosure. In this regard, each block in the flow and block diagrams can represent a module, a segment, or a portion of code, which comprises one or more executable instructions for implementing the specified logic functions. In some alternative implementations, the actions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession can in fact be executed substantially concurrently or the actions of a block can be performed in the reverse order, depending upon the functionality involved. These diagrams of the flow and block diagrams are also intended to include any connected data storage and data processing artifacts and structures that can affect the operation of the subject matter described. If warranted, specific data storage artifacts can be shown in a block diagram and / or a flow diagram and referred to in the accompanying text. Conversely, no indication of such data storage artifacts should not be construed to imply that such data storage is not a possible implementation. In some alternative implementations, the actions noted in the blocks can occur out of the order noted in the figures. For example, two blocks shown in succession can in fact be executed substantially concurrently or the actions of a block can be performed in the reverse order, depending upon the functionality involved. The description of a flow or block diagram of a process, method, or computer program product should not be construed to mean that all of the actions or steps are required to be performed in the order presented, nor that they are performed at all.

Claims

1. A simulation quality monitoring system for pigtail interfaces, characterized in that, include: The virtual simulation modeling module is configured to construct a three-dimensional optical model of the end face based on the optical fiber geometric parameters and optical properties, and to write deformation parameters into the three-dimensional optical model to generate a virtual optical response spectrum. The virtual optical response spectrum includes the theoretical reflected spot position, refraction / reflection intensity ratio and theoretical transmission attenuation rate. The anomaly diagnosis module is configured to receive measured optical data and the virtual optical response spectrum, calculate the deviation value between the measured optical data and the virtual spectrum, and output the defect classification result according to the combination rules of the deviation value; An optical acquisition module, configured to acquire the measured optical data, includes: The first light source provides a first test light signal with multiple incident angles in the radial direction of the fiber optic interface; The second light source provides a second test optical signal with multiple incident angles along the axial direction of the fiber optic interface; Imaging module, including: The first imaging module includes a sensor group on the same side and a sensor group on the opposite side, with their field of view axes perpendicular to the axis of the exposed optical fiber. The second imaging module acquires the second test optical signal output from the first end after being transmitted through optical fiber; The signal processing module is configured as follows: Calculate the signal intensity difference between the sensors on the same side and the opposite side to generate the measured refraction / reflection intensity ratio; Calculate the offset of the reflected light spot from the opposite sensor to generate the three-dimensional coordinates of the curvature deformation zone; Calculate the attenuation rate of the transmitted signal from the second imaging module; The virtual simulation modeling module is also configured to perform the following steps: Based on the coordinates of the curvature deformation region, the deformation region is discretized into a finite element mesh. The gradient refractive index field is reconstructed based on the mapping relationship between the deformation curvature radius and the refractive index. The theoretical attenuation rate curves of the second light source when it avoids the deformation path at different incident angles are simulated, and the theoretical optimal attenuation rate and its corresponding optimal incident angle are output. After receiving the theoretical attenuation rate curve, the anomaly diagnosis module is configured to perform the following steps: If the attenuation rate measured after actually avoiding the deformation path is lower than the preset ratio of the simulated optimal value, an abnormal scattering warning inside the material will be triggered. When the measured spot offset exceeds the virtual optical response map deviation threshold but the attenuation rate matches, it is marked as a repairable surface defect. The defect classification rules of the anomaly diagnosis module include: When the measured refraction-reflection intensity ratio deviates from the preset range of the virtual theoretical value, and the deviation of the reflected light spot offset is within the preset range, the output surface adhering pollutant classification is generated. When the refractive-reflection intensity ratio deviates from the theoretical preset range and is accompanied by the fragmented distribution characteristics of the reflected light spot, the coating layer damage classification is output. When the measured attenuation rate of the deformation area exceeding the preset ratio is higher than the preset ratio of the virtual theoretical value under the original transmission state, an overall fiber optic structure failure warning will be output. The anomaly diagnosis module includes the following steps when judging the deformation of the fiber optic axis region: Calculate the relative ratio of the measured attenuation rate of the shaft deformation zone to the standard failure threshold. When this ratio exceeds the limit adjusted by the shaft sensitivity coefficient, it is determined to be an overall failure. The core sensitivity coefficient is established by comparing the attenuation effect of the same deformation in the core region and the edge region of a standard optical fiber through standard optical fiber experiments to establish the deformation-attenuation correspondence curve between the core region and the edge region. The attenuation increment ratio in the curve is selected as the sensitivity coefficient, and this coefficient is not lower than the set protection value. The deformation parameters include: Calculate the local radius of curvature deviation based on the length Δd of the reflected spot offset vector and the incident angle α; Δρ = sinα / Δd; The average curvature of the fiber surface is determined by the refraction-reflection intensity ratio, wherein the average curvature is the average of the local curvature radius deviations obtained from multiple sampling points; The virtual simulation modeling module uses the local curvature radius deviation and average curvature as boundary constraints to dynamically reconstruct the physical topology of the deformed region in the three-dimensional model.

2. A method for simulating quality monitoring of fiber optic pigtail interfaces, implemented based on the system described in claim 1, characterized in that, Includes the following steps: A three-dimensional model of the fiber end face is constructed, and deformation parameters are written to generate a virtual optical response spectrum containing the theoretical reflection position, refraction / reflection intensity ratio and transmission attenuation rate; Acquire measured optical data and generate coordinates of the curvature deformation zone based on the spot offset; Based on the coordinates of the curvature deformation region, the gradient refractive index field of the deformation region is reconstructed, and the theoretical optimal attenuation rate for avoiding the deformation region path is simulated. Compare the measured and virtual map data to output the defect classification results.

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